Engineering Geology Jobs in Berkeley, CA
375 positions found — Page 27
J
Machine Learning Engineer
🏢 Jobot
Salary not disclosed
Machine Learning Engineer
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Backend Engineer
🏢 Jobot
Salary not disclosed
Senior Backend Engineer opportunity with a high-traction early-stage startup building next-gen private market infrastructure.
This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $175,000
- $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco
- 4 days/week working in office Compensation: $175 – $220k base salary + equity We’re partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem.
Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows.
The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion.
They’re looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development.
This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows.
Why join us? Real Product Traction — Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today.
High Ownership, High Impact You’ll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction.
Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there’s still meaningful room to influence the roadmap, technical direction, and long-term platform evolution.
Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output.
Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company.
Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus.
Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $175,000
- $220,000 per year A bit about us: Senior Software Engineer (Backend Focus) San Francisco
- 4 days/week working in office Compensation: $175 – $220k base salary + equity We’re partnered with an early-stage, venture-backed technology company building infrastructure that supports sophisticated participants across the private capital ecosystem.
Their platform blends institutional-quality data, analytics, and marketplace capabilities to power complex investment workflows.
The company has already established strong traction with reputable financial institutions and meaningful activity across its platform, and is now entering its next phase of product expansion.
They’re looking to bring on a Senior Backend Engineer who will help scale backend systems and contribute to accelerating product development.
This position offers meaningful ownership and collaboration with technical leadership on architecture decisions, data platform evolution, and integrations that enable advanced user workflows.
Why join us? Real Product Traction — Not Just Vision Join a startup that has already built meaningful adoption with sophisticated institutional users and is actively supporting real transactions and decision-making workflows today.
High Ownership, High Impact You’ll shape core platform systems, influence architecture decisions, and see your work directly affect customers and product direction.
Early-Stage Upside with Established Momentum Step into a phase where foundational risk has been reduced, but there’s still meaningful room to influence the roadmap, technical direction, and long-term platform evolution.
Engineering Culture Built for Builders Work alongside pragmatic, low-ego engineers who value speed, quality, thoughtful decision-making and embrace modern tooling and AI-assisted workflows to accelerate output.
Exposure to Complex, Interesting Problems Tackle challenges around data normalization, system scalability, distributed architecture, and AI-enabled integrations Career Growth Through Responsibility Take ownership of meaningful technical surface area early, with opportunities to expand scope, deepen architectural influence, and grow alongside the company.
Office Collaboration Environment Work closely with product and engineering leadership in-person while maintaining flexibility that supports productivity and focus.
Job Details Responsibilities Design, build, and maintain backend services and APIs supporting core product functionality Develop scalable systems that ingest, structure, and enhance data from fragmented or unstructured sources Create pipelines that convert raw inputs into reliable, high-quality datasets for downstream use Support integrations enabling programmatic access to platform data, including AI-driven interaction layers Contribute to the evolution of modular, event-driven system architecture Participate in system design discussions, technical planning, and engineering prioritization Own significant platform components from concept through production Ideal Background Based in the San Francisco Bay Area and able to work onsite 4 days/week in downtown SF 3-6 years of professional software engineering experience with backend or backend-leaning full-stack focus Experience operating in startup or high-growth environments preferred Strong proficiency in TypeScript or another statically typed language (Scala, Rust, Haskell, etc.) Track record of building production-grade systems and contributing to architectural decisions Comfortable incorporating modern AI-assisted development tools into daily workflow Ability to deliver scalable, maintainable systems at a fast pace Collaborative, pragmatic, and ownership-oriented mindset Eagerness to grow technical scope and responsibility over time Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Software Engineer
🏢 Jobot
Salary not disclosed
Go Backend Engineer, Client Driven Startup, Great Benefits, Equity! This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Staff Backend engineer
🏢 Jobot
Salary not disclosed
An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform This Jobot Job is hosted by: Tarek Hamzeh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000
- $275,000 per year A bit about us: Staff Backend Engineer Location: San Francisco, CA (On-site / Relocation Available) About the Role An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform used by professionals in high-stakes environments.
As a senior engineer, you’ll architect and scale critical backend systems, influence key technical decisions, and lead major product initiatives that directly impact end users.
This role is ideal for someone who thrives in fast-paced, high-growth startup environments and wants to shape the long-term technical foundation of a mission-driven product.
Why join us? Innovative Impact: Join a fast-growing healthcare technology company transforming the way clinicians deliver care with cutting-edge AI solutions.
Collaborative Culture: Work alongside passionate, cross-functional teams that value creativity, problem-solving, and real-world impact.
Career Growth: Opportunities to lead high-impact projects, shape product direction, and grow in a supportive, mission-driven environment.
San Francisco Location: Be part of a vibrant tech hub with access to industry events, networking, and a thriving professional community.
Job Details What You’ll Do Design and architect major backend features that leverage cutting-edge AI to deliver seamless user experiences.
Anticipate scaling challenges and proactively re-architect systems to ensure reliability, performance, and long-term stability.
Lead high-impact product and infrastructure initiatives, driving rapid iteration while minimizing technical debt.
Own the full lifecycle of significant technical projects—from system design to deployment.
Help establish engineering standards, processes, and best practices to support a high-quality, fast-moving development culture.
Who You Are 5+ years of experience building and scaling backend systems, especially in distributed environments.
Skilled in modern infrastructure and backend tooling, such as: Cloud platforms (AWS, GCP) Containers (Docker) Messaging/queuing systems (Kafka) Relational databases (Postgres) Capable of deep hands-on technical work while also mentoring engineers and influencing architectural direction.
Adept at owning end-to-end execution and navigating complex technical trade-offs.
Comfortable operating in environments with ambiguity and rapid change.
Values collaboration, kindness, and contributing to a positive, mission-aligned engineering culture.
Healthcare experience not required—startup experience and adaptability are highly valued.
Work Environment This role is hybrid, with in-office collaboration 3 days per week at the San Francisco office.
Interview Process Recruiter Screen – Introductory conversation to align on experience, interest, and role expectations.
Technical Phone Interview – A 1-hour live coding session focused on progressive data structures and algorithms problems.
Work Trial Project – A compensated take-home assignment simulating real backend work, including system design and scalability considerations.
Final Panel – Hiring Manager Interview: Deep dive into your experience, achievements, and career progression.
Behavioral Interview: Discussion around impactful projects, problem-solving approaches, and collaboration style.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $200,000
- $275,000 per year A bit about us: Staff Backend Engineer Location: San Francisco, CA (On-site / Relocation Available) About the Role An innovative AI-driven technology company is seeking a Staff Backend Engineer to help build the core infrastructure behind its real-time platform used by professionals in high-stakes environments.
As a senior engineer, you’ll architect and scale critical backend systems, influence key technical decisions, and lead major product initiatives that directly impact end users.
This role is ideal for someone who thrives in fast-paced, high-growth startup environments and wants to shape the long-term technical foundation of a mission-driven product.
Why join us? Innovative Impact: Join a fast-growing healthcare technology company transforming the way clinicians deliver care with cutting-edge AI solutions.
Collaborative Culture: Work alongside passionate, cross-functional teams that value creativity, problem-solving, and real-world impact.
Career Growth: Opportunities to lead high-impact projects, shape product direction, and grow in a supportive, mission-driven environment.
San Francisco Location: Be part of a vibrant tech hub with access to industry events, networking, and a thriving professional community.
Job Details What You’ll Do Design and architect major backend features that leverage cutting-edge AI to deliver seamless user experiences.
Anticipate scaling challenges and proactively re-architect systems to ensure reliability, performance, and long-term stability.
Lead high-impact product and infrastructure initiatives, driving rapid iteration while minimizing technical debt.
Own the full lifecycle of significant technical projects—from system design to deployment.
Help establish engineering standards, processes, and best practices to support a high-quality, fast-moving development culture.
Who You Are 5+ years of experience building and scaling backend systems, especially in distributed environments.
Skilled in modern infrastructure and backend tooling, such as: Cloud platforms (AWS, GCP) Containers (Docker) Messaging/queuing systems (Kafka) Relational databases (Postgres) Capable of deep hands-on technical work while also mentoring engineers and influencing architectural direction.
Adept at owning end-to-end execution and navigating complex technical trade-offs.
Comfortable operating in environments with ambiguity and rapid change.
Values collaboration, kindness, and contributing to a positive, mission-aligned engineering culture.
Healthcare experience not required—startup experience and adaptability are highly valued.
Work Environment This role is hybrid, with in-office collaboration 3 days per week at the San Francisco office.
Interview Process Recruiter Screen – Introductory conversation to align on experience, interest, and role expectations.
Technical Phone Interview – A 1-hour live coding session focused on progressive data structures and algorithms problems.
Work Trial Project – A compensated take-home assignment simulating real backend work, including system design and scalability considerations.
Final Panel – Hiring Manager Interview: Deep dive into your experience, achievements, and career progression.
Behavioral Interview: Discussion around impactful projects, problem-solving approaches, and collaboration style.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Backend Engineer / Rust
🏢 Jobot
Salary not disclosed
Hybrid Remote
*Candidates must be commutable distance from San Francisco
* / Leading Developer Platform for Zero-Knowledge Applications This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $250,000 per year A bit about us: We are a leading developer platform for zero-knowledge applications.
We are on the lookout for a passionate and skilled Backend Engineer with a strong command over Rust to join our dynamic technology team.
In this role, you will be responsible for designing, developing, and maintaining our cutting-edge blockchain-based applications.
You will also be instrumental in creating robust and secure APIs, and ensuring the efficient functioning of our backend operations.
This position demands a high degree of technical expertise, a deep understanding of blockchain technology, and a strong commitment to quality.
Why join us? Monthly budget for expenses (home office setup & supplies, transportation, fitness & personal well-being, continued learning, etc.).
Comprehensive, top-tier healthcare coverage.
Flexible vacation policy.
Ability to attend major industry conferences and global events at the company’s expense.
Regular team off-sites and retreats.
Job Details Responsibilities: 1.
Design, develop, and maintain high-performance, highly scalable blockchain-based applications using Rust.
2.
Collaborate with our frontend team to build innovative, user-friendly interfaces.
3.
Develop robust and secure APIs to support backend functionalities.
4.
Troubleshoot and resolve technical issues promptly and efficiently.
5.
Participate in code reviews to ensure code quality and distribute knowledge.
6.
Stay up-to-date with the latest industry trends, technologies, and developments in the field of blockchain and Rust.
7.
Contribute to architectural decisions and implement new features based on the evolving needs of our business.
8.
Collaborate with cross-functional teams to define, design, and ship new features.
9.
Ensure the performance, quality, and responsiveness of applications.
10.
Identify and correct bottlenecks and fix bugs.
Qualifications: 1.
Bachelor's degree in Computer Science, Information Technology, or a related field.
2.
Minimum 5 years of experience as a Backend Engineer.
3.
Proficient in Rust with a good understanding of its syntax and features.
4.
Solid experience with blockchain technology and understanding of its core principles.
5.
Proven experience in API design and development.
6.
Strong knowledge of data structures, system design, and algorithms.
7.
Excellent problem-solving skills with a knack for complex troubleshooting.
8.
Familiarity with professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
9.
Ability to work independently and as part of a team.
10.
Excellent communication skills, both verbal and written.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
*Candidates must be commutable distance from San Francisco
* / Leading Developer Platform for Zero-Knowledge Applications This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $250,000 per year A bit about us: We are a leading developer platform for zero-knowledge applications.
We are on the lookout for a passionate and skilled Backend Engineer with a strong command over Rust to join our dynamic technology team.
In this role, you will be responsible for designing, developing, and maintaining our cutting-edge blockchain-based applications.
You will also be instrumental in creating robust and secure APIs, and ensuring the efficient functioning of our backend operations.
This position demands a high degree of technical expertise, a deep understanding of blockchain technology, and a strong commitment to quality.
Why join us? Monthly budget for expenses (home office setup & supplies, transportation, fitness & personal well-being, continued learning, etc.).
Comprehensive, top-tier healthcare coverage.
Flexible vacation policy.
Ability to attend major industry conferences and global events at the company’s expense.
Regular team off-sites and retreats.
Job Details Responsibilities: 1.
Design, develop, and maintain high-performance, highly scalable blockchain-based applications using Rust.
2.
Collaborate with our frontend team to build innovative, user-friendly interfaces.
3.
Develop robust and secure APIs to support backend functionalities.
4.
Troubleshoot and resolve technical issues promptly and efficiently.
5.
Participate in code reviews to ensure code quality and distribute knowledge.
6.
Stay up-to-date with the latest industry trends, technologies, and developments in the field of blockchain and Rust.
7.
Contribute to architectural decisions and implement new features based on the evolving needs of our business.
8.
Collaborate with cross-functional teams to define, design, and ship new features.
9.
Ensure the performance, quality, and responsiveness of applications.
10.
Identify and correct bottlenecks and fix bugs.
Qualifications: 1.
Bachelor's degree in Computer Science, Information Technology, or a related field.
2.
Minimum 5 years of experience as a Backend Engineer.
3.
Proficient in Rust with a good understanding of its syntax and features.
4.
Solid experience with blockchain technology and understanding of its core principles.
5.
Proven experience in API design and development.
6.
Strong knowledge of data structures, system design, and algorithms.
7.
Excellent problem-solving skills with a knack for complex troubleshooting.
8.
Familiarity with professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
9.
Ability to work independently and as part of a team.
10.
Excellent communication skills, both verbal and written.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
T
GRC Automation Engineer
🏢 Talently
Salary not disclosed
Job Title: GRC Automation Engineer
Location: Hybrid in San Francisco/NYC or Remote
Salary: $140,000-$215,000
Skills: Compliance Automation, Scripting & API Development, Security Frameworks (SOC 2, ISO 27001, PCI DSS), Cloud Platforms (AWS), Data Governance
About the Company / The Opportunity
:Join a forward-thinking leader in the software industry as a GRC Automation Engineer on a mission to enhance global compliance and enterprise risk management. This role offers the opportunity to shape the next evolution of a robust GRC program, embedding security and data governance principles into the heart of the business. You'll collaborate across teams to drive automation, uphold the highest standards of compliance and ethics, and leverage advanced technologies to improve organizational security posture in a growing SaaS environment
.
*If you are located within commuting distance of our San Francisco or New York City office this is a hybrid position (M/W/F in office). Otherwise this is a remote role anywhere in the United States with occasional travel to our H
Q.
Responsibiliti
- es:
Design and automate control testing and evidence collection to reduce manual effort and improve accuracy for compliance initiati - ves.Develop and maintain scripts and APIs across cloud infrastructure, endpoints, and SaaS platforms (e.g., AWS, GitHub, Okta) to interface with compliance to
- ols.Support recurring internal and external audits (SOC 2, ISO 27001, PCI DSS) by ensuring reliable control monitoring and remediat
- ion.Champion security, compliance, and data governance strategies, including data deletion, retention, and storage proces
- ses.Leverage AI/ML tools to enhance efficiency and drive improvements in GRC processes and overall compliance post
- ure.Define technical control requirements and collaborate with engineering teams to embed compliance checks into CI/CD and infrastructure deployment pipeli
nes.
Must-Have- Skills:
Experience in scripting or automation focused on security, infrastructure, - or GRC.Proficiency in building API endpoints and command-line tools; experience working with structured data formats (JSON, CSV
- , YAML).Solid understanding of audit processes, evidence requirements, and remediation for security and compliance frameworks (SOC 2, ISO 27001, P
- CI DSS).Ability to automate audit and evidence gathering procedures within cloud and SaaS envir
- onments.Strong collaboration skills, able to work effectively with technical and non-technical teams to drive GRC init
iatives.
Nice-to-Hav- e Skills:
Familiarity with software development and compliance platforms (e.g., Drata, Satori - , GitHub).Experience with AI/ML systems, open-source development, and frontend cloud tec
- hnologies.Knowledge of federal security frameworks such as FedRAMP or NIST (800-53, 800-
- 171, RMF).Security certifications (e.g., CIS
- A, CISSP).Exposure to large-scale SaaS, cloud, or infrastructure environments with global reach.
- e Skills:
- Skills:
Not Specified
V
Senior Implementations Manager
Salary not disclosed
About Veer
Each year, roughly 10% of an employer's workforce experiences a significant personal event that requires a leave of absence. Once thought of as a compliance risk, leave is now recognized by leading employers as a critical moment in the employee journey.
At Veer, we believe every employee deserves the time and support needed to thrive. We work with HR leaders at leading enterprise employers to transform the leave experience—moving beyond the "DMV-like" processes of forms, wait times, and confusion. Our digital and mobile platform guides employees from leave planning through return to work, ensuring a smooth, supportive transition.
The results speak for themselves: higher employee satisfaction, stronger operational effectiveness, and greater business continuity. Today, we're reinventing a $10+ billion industry. Tomorrow, we aspire to help make paid leave a universal human right. We're building Veer for the long term—with the shared commitment of our investors, customers, and partners—and we're doing so as a team grounded in empathy, curiosity, and impact.
About the Role
We're seeking a Senior Implementations Manager to own the end-to-end deployment of our leave experience software platform for enterprise customers. This is a critical role at the intersection of customer success, product, and engineering—you'll be the quarterback ensuring complex implementations are delivered successfully for some of the world's most innovative and admired employers.
You'll be the primary point of contact for large enterprise customers during implementation, managing multiple stakeholders across employee benefits, HR, IT, and legal teams. Given our early stage, you'll work closely with engineering on assigned implementations, translating customer requirements into technical specifications while maintaining project momentum.
As we build toward a truly scalable platform, you'll be instrumental in identifying where AI and automation can replace manual work—we're looking for someone who sees AI as a tool to 10x their impact, not a threat.
Our Implementation Managers are the face of Veer in many ways. They set the tone for the customer relationship and overall success of the product and must provide confident leadership throughout the process.
What you'll do
Project management/leadership
- Serve as day-to-day contact and project manager for enterprise implementations, coordinating across multiple customer stakeholders and internal teams.
- Develop and manage detailed project plans in collaboration with customers and engineering, ensuring on-time delivery.
- Lead implementation kickoff meetings, serving as a change management guide to establish clear goals, set expectations on scope, timeline, responsibilities, and effectively frame the value proposition to drive user adoption.
- Manage multiple active implementations and projects spanning a variety of use-cases, complexity, and customer team size
- Keep key customer stakeholders informed of major milestones, risks, and decisions. Proactively communicate delays or challenges, managing expectations, and aligning on mitigation plans.
- Act as a strategic consultant, guiding customers to the best solutions within the defined project scope to ensure their core business needs are met without compromising delivery milestones.
- Navigate complex organizational structures at large employers, building relationships with leave of absence and disability program managers, IT teams, legal counsel, and executive sponsors.
Leave program expertise
- Demonstrate deep understanding of leave of absence and disability programs—including FMLA, state leave laws (CA, NY, WA, etc.), STD/LTD, and employer-specific policies.
- Gather and document customer requirements, translating customer-specific leave policies and business rules into clear specifications for design and engineering teams.
- Advise customers on best practices for leave experience design and product set-up and configuration.
- Stay up to date on federal, state, and local leave law changes and industry trends, proactively advising customers and internal product teams on potential impacts and necessary product adaptations.
Product configuration & design
- Partner with design team to create mockups and prototypes that reflect the customer's desired employee and administrator experience.
- Lead customer review sessions to refine the product experience and gather feedback that drives product improvements and customer success.
- Balance customer customization requests with product scalability considerations.
Technical coordination
- Work with engineering on product integrations with HRIS systems, benefits administration systems, and third-party administrators.
- Work with product management on customer requests for new features.
- Collaborate with product and engineering teams to identify implementation steps that can be automated or enhanced with AI, building toward a more scalable platform.
- Develop customer UAT test cases and facilitate UAT prior to launch.
- Troubleshoot implementation issues and serve as liaison between customers and technical teams.
Customer enablement
- Design and execute a structured customer communications and enablement playbook to ensure the successful transition from the customer's current state to the post launch future state.
- Create and deliver tailored enablement content.
- Support internal champions at the customer organization to stimulate adoption.
- Host live training sessions or webinars for customer teams and users.
- Formalize the handoff to Customer Success by partnering to create a comprehensive "Success Plan" that outlines the customer's business goals, key stakeholders, unique configurations, and potential areas for future growth.
In your first year, you'll:
- Successfully lead 3-5 enterprise implementations from kickoff to launch
- Identify and implement AI-driven automation opportunities that reduce implementation time by 20%+ (e.g., automated requirement gathering, documentation generation, testing scripts, customer communication)
- Build repeatable processes and documentation that reduce engineering dependency over time
- Become a trusted advisor to customer stakeholders on leave program strategy
- Identify product gaps and advocate for improvements based on customer feedback
- Help us scale the implementation function by mentoring future team members
What we are looking for (required)
- 5+ years of experience in enterprise software implementation, project management, or a customer-facing advisory/consulting role in a fast-paced B2B SaaS company
- Enthusiastic about leveraging AI tools to automate repetitive work, scale implementations, and enhance the customer experience. You're constantly asking "how can we do this faster/better with AI?" rather than defaulting to manual processes.
- Strong understanding of employee leave and disability policies and programs (STD/LTD, FMLA, state disability, parental and family leave, etc.) and the HR/benefits landscape
- Proven ability to manage and strategically consult on complex, multi-stakeholder enterprise projects with competing priorities
- Excellent communication skills—you can translate between technical and non-technical audiences, effectively advising and influencing senior business stakeholders
- Comfortable working in ambiguous, fast-moving environments where you'll need to build processes from scratch
- Technical aptitude and ability to work closely with engineering teams on integrations and product configuration
Bonus skills
- Direct experience with leave administration, benefits program management, or HRIS implementations
- Familiarity with third-party administrators like Sedgwick, Lincoln, or MetLife
- Experience at an early-stage software company during rapid scaling
- Background in HR technology, specifically absence management, case management, or workflow automation platforms
Why join Veer?
- Meaningful Impact: Transform how millions of employees experience one of the most critical moments in their working lives
- Customer Quality: Work with blue-chip enterprise customers who are committed to improving their leave programs
- Early Team Member: Join at an inflection point—help build the implementation playbook and team as we scale
- Cross-Functional Exposure: Work directly with founders, product, engineering, and design on every implementation
- Ownership: This isn't a handoff role—you'll own implementations from contract signing through go-live and beyond
This is a full-time salaried, exempt position. Compensation ranges from $110,000-$195,000 and is based on your experience and legal state of residence.
Not Specified
J
Structural Designer
🏢 Jobot
Salary not disclosed
Hybrid Remote
- Reputable & Well Known Structural Engineering Firm in SF
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $90,000
- $105,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.
We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.
Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.
We are hiring a Structural Designer with 2+ years of relevant experience to join our Building Systems Engineering group.
In this role, you will be involved with designing supports for architectural features and components, seismic anchorage and bracing of equipment, structural evaluation, and retrofit design.
Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree (preferred), or 5-year Architectural Engineering degree o Strong background in seismic design of nonstructural components per ASCE Chapter 13 and HCAI CBC Chapter A o 2 to 5 years of professional engineering experience o Excellent verbal and written skills DESIRED o Solid analytical and detailing skills o Skill using 3D modeling programs such as Revit, AutoCAD 3D and Navisworks o Experience in construction administration o Familiarity with OPDs and OSPs for HCAI projects o Professional registration a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Reputable & Well Known Structural Engineering Firm in SF
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $90,000
- $105,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.
We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.
Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.
We are hiring a Structural Designer with 2+ years of relevant experience to join our Building Systems Engineering group.
In this role, you will be involved with designing supports for architectural features and components, seismic anchorage and bracing of equipment, structural evaluation, and retrofit design.
Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree (preferred), or 5-year Architectural Engineering degree o Strong background in seismic design of nonstructural components per ASCE Chapter 13 and HCAI CBC Chapter A o 2 to 5 years of professional engineering experience o Excellent verbal and written skills DESIRED o Solid analytical and detailing skills o Skill using 3D modeling programs such as Revit, AutoCAD 3D and Navisworks o Experience in construction administration o Familiarity with OPDs and OSPs for HCAI projects o Professional registration a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Licensed Project Manager
🏢 Jobot
Salary not disclosed
Hybrid Remote
- Building Systems Engineering
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $110,000
- $130,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.
We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.
Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.
As a Project Manager, you will be responsible for the following: o Project and Personnel Management, including maintaining client relationships, project staffing, and staff training o Design of nonstructural components, including architectural features and components, metal stud framing, equipment anchorage, and seismic bracing of equipment and MEP distribution systems o Structural evaluation and developing strengthening/retrofit designs Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree in structural engineering, or 5-year Architectural Engineering degree o 8 to 10 years of experience working in the building structural engineering field o California PE license required, SE license or licensure in progress desired o Strong project management skills o Experience collaborating with contractors and architects.
o Excellent interpersonal, verbal, and written skills o Skilled with seismic design of building structures in concrete and steel o Skilled in seismic design of nonstructural components o Solid analytical and detailing skills o Experience with assessment and retrofit of existing buildings (ASCE 41 and CEBC) preferred o Skilled with RAM, ETABS, SAP2000, RISA 3D DESIRED o Familiarity with OPDs and OSPs for HCAI (OSHPD) projects o Knowledge of 3D modeling programs such as Revit, AutoCAD 3D o Ability to navigate in Navisworks Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Building Systems Engineering
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $110,000
- $130,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.
We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.
Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.
As a Project Manager, you will be responsible for the following: o Project and Personnel Management, including maintaining client relationships, project staffing, and staff training o Design of nonstructural components, including architectural features and components, metal stud framing, equipment anchorage, and seismic bracing of equipment and MEP distribution systems o Structural evaluation and developing strengthening/retrofit designs Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree in structural engineering, or 5-year Architectural Engineering degree o 8 to 10 years of experience working in the building structural engineering field o California PE license required, SE license or licensure in progress desired o Strong project management skills o Experience collaborating with contractors and architects.
o Excellent interpersonal, verbal, and written skills o Skilled with seismic design of building structures in concrete and steel o Skilled in seismic design of nonstructural components o Solid analytical and detailing skills o Experience with assessment and retrofit of existing buildings (ASCE 41 and CEBC) preferred o Skilled with RAM, ETABS, SAP2000, RISA 3D DESIRED o Familiarity with OPDs and OSPs for HCAI (OSHPD) projects o Knowledge of 3D modeling programs such as Revit, AutoCAD 3D o Ability to navigate in Navisworks Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Head of Marketing
🏢 Jobot
Salary not disclosed
First Marketing Leader Needed to Scale a Seed-Stage Healthcare Startup This Jobot Job is hosted by: Ali Mercado Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000
- $200,000 per year A bit about us: We’re a Seed-stage, mission-driven healthcare startup focused on building meaningful tools, resources, and community for people navigating serious health challenges.
We have early traction and a strong product foundation, and we’re now focused on building a repeatable, organic growth engine to support our next phase of growth.
We’re intentionally early in our journey and we’re looking for someone who knows how to help take a company from Seed through Series A by building marketing the right way.
Why join us? Competitive base salary ($170K–$200K+) plus meaningful equity options Hybrid structure that values in-person collaboration.
Set in-office days are Tuesdays and Wednesdays.
You will: Own marketing end-to-end at a pivotal stage of the company- you’ll be THE marketing function, not a manager of one Step into a true operator role with real influence; this is not a brand or PR seat Build organic growth from scratch at a mission-critical healthcare company Work directly with the CEO and cross-functional partners (product, engineering, clinical content) to shape growth strategy Have high ownership, real autonomy, and clear success metrics from day one Do work that genuinely matters Job Details We’re hiring a Head of Marketing to build and run our marketing function from the ground up internally.
This is a senior individual contributor role- you will be the marketing function, not manage a team.
This role is heavily hands-on and operational, with a strong emphasis on organic growth, content, community, SEO, and lifecycle marketing.
This is not a brand-only or communications-led role.
The right person will be comfortable building, testing, shipping, and iterating- especially in a lean, early-stage environment with no playbooks.
This role is hybrid, with in-office collaboration on Tuesdays and Wednesdays in San Francisco.
What Will You Do? Own and execute the marketing strategy with a strong bias toward hands-on execution Run organic acquisition experiments across SEO, content, community (e.g., Reddit, advocacy partnerships), referrals, and lifecycle Build and operate the content engine (blog, newsletter, podcast distribution, and social), publishing at high velocity using AI-assisted workflows Build and run lifecycle marketing, including activation and re-engagement email programs, in close partnership with product Measure everything: set up tracking, build dashboards, run cohort analysis, and know your CAC and conversion rates cold Use data to prioritize channels, experiments, and initiatives that drive adoption Leverage AI tools daily to increase speed and output across content creation, experimentation, and analysis Establish foundational marketing systems, processes, and reporting Manage and optimize the website and landing pages Support and grow community engagement initiatives Run small-budget paid acquisition experiments to support learning Partner closely with leadership, product, engineering, and clinical content teams Work with vendors or contractors as needed (no large team initially) What This Role Is Not: A brand-only or PR-focused role A people-management-heavy position A purely strategic role removed from execution What We’re Looking For 5–7 years of marketing experience, primarily in consumer-facing products At least 2 years at an early-stage startup as one of the first marketers Direct experience helping take a company from Seed to Series A (or a similar growth stage) Proven, hands-on execution — able to walk through 3–5 experiments you personally ran, including hypothesis, execution, measurement, and results Strong organic marketing background (approximately 80% organic focus) Experience with content marketing and community-driven growth Deeply data-driven and operational — you pull your own data, build your own dashboards, and live in the metrics Hands-on experience using AI tools and automations to materially improve marketing efficiency Comfortable operating in early-stage, resource-constrained environments Deeply mission-driven and motivated by meaningful impact Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $170,000
- $200,000 per year A bit about us: We’re a Seed-stage, mission-driven healthcare startup focused on building meaningful tools, resources, and community for people navigating serious health challenges.
We have early traction and a strong product foundation, and we’re now focused on building a repeatable, organic growth engine to support our next phase of growth.
We’re intentionally early in our journey and we’re looking for someone who knows how to help take a company from Seed through Series A by building marketing the right way.
Why join us? Competitive base salary ($170K–$200K+) plus meaningful equity options Hybrid structure that values in-person collaboration.
Set in-office days are Tuesdays and Wednesdays.
You will: Own marketing end-to-end at a pivotal stage of the company- you’ll be THE marketing function, not a manager of one Step into a true operator role with real influence; this is not a brand or PR seat Build organic growth from scratch at a mission-critical healthcare company Work directly with the CEO and cross-functional partners (product, engineering, clinical content) to shape growth strategy Have high ownership, real autonomy, and clear success metrics from day one Do work that genuinely matters Job Details We’re hiring a Head of Marketing to build and run our marketing function from the ground up internally.
This is a senior individual contributor role- you will be the marketing function, not manage a team.
This role is heavily hands-on and operational, with a strong emphasis on organic growth, content, community, SEO, and lifecycle marketing.
This is not a brand-only or communications-led role.
The right person will be comfortable building, testing, shipping, and iterating- especially in a lean, early-stage environment with no playbooks.
This role is hybrid, with in-office collaboration on Tuesdays and Wednesdays in San Francisco.
What Will You Do? Own and execute the marketing strategy with a strong bias toward hands-on execution Run organic acquisition experiments across SEO, content, community (e.g., Reddit, advocacy partnerships), referrals, and lifecycle Build and operate the content engine (blog, newsletter, podcast distribution, and social), publishing at high velocity using AI-assisted workflows Build and run lifecycle marketing, including activation and re-engagement email programs, in close partnership with product Measure everything: set up tracking, build dashboards, run cohort analysis, and know your CAC and conversion rates cold Use data to prioritize channels, experiments, and initiatives that drive adoption Leverage AI tools daily to increase speed and output across content creation, experimentation, and analysis Establish foundational marketing systems, processes, and reporting Manage and optimize the website and landing pages Support and grow community engagement initiatives Run small-budget paid acquisition experiments to support learning Partner closely with leadership, product, engineering, and clinical content teams Work with vendors or contractors as needed (no large team initially) What This Role Is Not: A brand-only or PR-focused role A people-management-heavy position A purely strategic role removed from execution What We’re Looking For 5–7 years of marketing experience, primarily in consumer-facing products At least 2 years at an early-stage startup as one of the first marketers Direct experience helping take a company from Seed to Series A (or a similar growth stage) Proven, hands-on execution — able to walk through 3–5 experiments you personally ran, including hypothesis, execution, measurement, and results Strong organic marketing background (approximately 80% organic focus) Experience with content marketing and community-driven growth Deeply data-driven and operational — you pull your own data, build your own dashboards, and live in the metrics Hands-on experience using AI tools and automations to materially improve marketing efficiency Comfortable operating in early-stage, resource-constrained environments Deeply mission-driven and motivated by meaningful impact Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
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