Engineering Jobs in Berkeley California
365 positions found — Page 29
J
AI Automation Specialist
🏢 Jobot
Salary not disclosed
You'll identify high-impact opportunities where AI-powered solutions can replace manual processes, enhance decision-making, and create more efficient operations that allow our teams to focus on higher-value work.
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $100,000
- $110,000 per year A bit about us: Our client is redefining what it means to feel at home—whether you’re traveling for business, leisure, or something in between.
They’ve built a technology-powered hospitality platform that transforms apartments, hotels, and unique properties into stylish, reliable stays across the country.
By combining the consistency of a trusted brand with the charm of local living, they make travel seamless, flexible, and accessible for modern guests.
At their core, they’re problem-solvers: using data, design, and hospitality expertise to make every stay frictionless.
Their approach blends high-tech automation with human-centered service, allowing them to scale quickly while still delivering warm, thoughtful guest experiences.
We’re proud to partner with a team that’s not only changing the landscape of modern hospitality but also deeply values innovation, collaboration, and creating opportunities for growth.
Why join us? Joining this team means being part of a fast-growing, venture-backed company with a bold vision: to revolutionize how people experience travel and hospitality.
You’ll work alongside passionate builders, innovators, and operators who thrive at the intersection of real estate, technology, and guest experience.
Here’s why people love working here: Impactful Work: Your contributions directly shape how thousands of guests experience travel every day.
Innovation-Driven Culture: You’ll collaborate with people who embrace technology and creative problem-solving.
Growth Opportunities: With rapid expansion nationwide, there’s endless room for personal and professional development.
Flexibility & Autonomy: They value ownership and trust—giving you the freedom to do your best work.
Mission with Heart: At the end of the day, it’s all about creating meaningful, memorable experiences for guests and partners.
Job Details As an AI Automation Specialist, you’ll drive operational efficiency by identifying, designing, and implementing intelligent automation solutions across the organization.
You’ll partner with leaders in Operations, Finance, HR, Guest Services, and more—bridging business needs with technical implementation.
You’ll leverage AI tools, automation platforms, and system integrations to eliminate repetitive tasks, reduce human error, and unlock scalability.
From API integrations to multi-step workflow design, you’ll be at the forefront of transforming how the business operates.
What You’ll Do Identify workflow bottlenecks and design automation solutions to improve efficiency.
Build and maintain integrations (APIs, webhooks) that connect systems and create seamless data flows.
Implement modern orchestration platforms (Zapier, n8n, Make, etc.) for multi-step workflows.
Deploy AI-powered automations to enhance decision-making and data processing.
Develop monitoring dashboards and alerting systems for process performance.
Collaborate with engineering teams on scalable technical implementations.
Document, train, and evangelize automation best practices across teams.
Track metrics like time saved, error reduction, and productivity improvements.
What They’re Looking For Process Optimizer: You see inefficiencies and naturally think about smarter, automated ways to solve them.
Technical Fluency: Strong experience with Python, SQL, APIs, and system integrations.
Automation Toolkit: Skilled with orchestration platforms (Zapier, n8n, Make, etc.).
AI Enthusiast: Experience applying AI tools to workflow automation.
Communicator: Able to explain technical solutions to non-technical audiences.
Collaborator: Comfortable working across departments and with engineering teams.
Adaptable: Thrive in a dynamic, high-growth environment.
Preferred Qualifications 4+ years in automation engineering, BI, or technical operations.
Hands-on experience with APIs, REST/GraphQL integrations, and data pipelines.
Experience implementing automations across multiple business functions.
Familiarity with cloud services and orchestration design patterns.
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: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $100,000
- $110,000 per year A bit about us: Our client is redefining what it means to feel at home—whether you’re traveling for business, leisure, or something in between.
They’ve built a technology-powered hospitality platform that transforms apartments, hotels, and unique properties into stylish, reliable stays across the country.
By combining the consistency of a trusted brand with the charm of local living, they make travel seamless, flexible, and accessible for modern guests.
At their core, they’re problem-solvers: using data, design, and hospitality expertise to make every stay frictionless.
Their approach blends high-tech automation with human-centered service, allowing them to scale quickly while still delivering warm, thoughtful guest experiences.
We’re proud to partner with a team that’s not only changing the landscape of modern hospitality but also deeply values innovation, collaboration, and creating opportunities for growth.
Why join us? Joining this team means being part of a fast-growing, venture-backed company with a bold vision: to revolutionize how people experience travel and hospitality.
You’ll work alongside passionate builders, innovators, and operators who thrive at the intersection of real estate, technology, and guest experience.
Here’s why people love working here: Impactful Work: Your contributions directly shape how thousands of guests experience travel every day.
Innovation-Driven Culture: You’ll collaborate with people who embrace technology and creative problem-solving.
Growth Opportunities: With rapid expansion nationwide, there’s endless room for personal and professional development.
Flexibility & Autonomy: They value ownership and trust—giving you the freedom to do your best work.
Mission with Heart: At the end of the day, it’s all about creating meaningful, memorable experiences for guests and partners.
Job Details As an AI Automation Specialist, you’ll drive operational efficiency by identifying, designing, and implementing intelligent automation solutions across the organization.
You’ll partner with leaders in Operations, Finance, HR, Guest Services, and more—bridging business needs with technical implementation.
You’ll leverage AI tools, automation platforms, and system integrations to eliminate repetitive tasks, reduce human error, and unlock scalability.
From API integrations to multi-step workflow design, you’ll be at the forefront of transforming how the business operates.
What You’ll Do Identify workflow bottlenecks and design automation solutions to improve efficiency.
Build and maintain integrations (APIs, webhooks) that connect systems and create seamless data flows.
Implement modern orchestration platforms (Zapier, n8n, Make, etc.) for multi-step workflows.
Deploy AI-powered automations to enhance decision-making and data processing.
Develop monitoring dashboards and alerting systems for process performance.
Collaborate with engineering teams on scalable technical implementations.
Document, train, and evangelize automation best practices across teams.
Track metrics like time saved, error reduction, and productivity improvements.
What They’re Looking For Process Optimizer: You see inefficiencies and naturally think about smarter, automated ways to solve them.
Technical Fluency: Strong experience with Python, SQL, APIs, and system integrations.
Automation Toolkit: Skilled with orchestration platforms (Zapier, n8n, Make, etc.).
AI Enthusiast: Experience applying AI tools to workflow automation.
Communicator: Able to explain technical solutions to non-technical audiences.
Collaborator: Comfortable working across departments and with engineering teams.
Adaptable: Thrive in a dynamic, high-growth environment.
Preferred Qualifications 4+ years in automation engineering, BI, or technical operations.
Hands-on experience with APIs, REST/GraphQL integrations, and data pipelines.
Experience implementing automations across multiple business functions.
Familiarity with cloud services and orchestration design patterns.
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
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
F
Technology Attorney - Bay Area
Salary not disclosed
A service offering of the law firm Fenwick & West, FLEX by Fenwick provides high-quality attorneys to technology and life sciences companies in need of interim in-house counsel. Much like our market-leading, entrepreneurial client base, Fenwick constantly seeks ways to innovate and remain best in class both for our legal work and for our client service. With this in mind, the firm launched FLEX.
As a FLEX attorney, you will have access to temporary in-house counsel opportunities with cutting-edge companies throughout the tech sector. Upon joining our attorney roster, we will contact you about potential engagements that fit your skill set and availability, and you let us know whether you'd like us to share your bio with the company. We don't assign you work, and you're never under any obligation to take on work. Simply put, you set the parameters of what you're looking for, and we try to match you with suitable clients and engagements.
As our clients continue to transition from remote to hybrid working arrangements, we are seeking attorneys able to be on site several days per week in the San Francisco and/or Silicon Valley areas. The skill sets our clients come to us for generally include (but are not limited to):
- experience drafting and negotiating a wide variety of technology transactions, including inbound and outbound SaaS, software, and hardware agreements; distribution, channel, and reseller agreements; joint development, joint venture, collaboration, and strategic alliance agreements; and privacy, non-disclosure, and confidentiality agreements
- experience working with internal engineering, product, design, security, privacy, and marketing teams throughout the product development life cycle, advising on regulatory requirements and how to mitigate risks for new technologies
- experience advising on corporate governance, public company reporting, M&A due diligence, and routine corporate housekeeping matters.
Attorneys at all levels of practice will be considered, and we will contact you if your experience is a good fit for our anticipated client needs. Attorneys who have previously onboarded with FLEX do not need to apply as you are already under consideration for active client needs.
You can learn more about FLEX at We look forward to hearing from you!
Not Specified
Design Quality Engineer
🏢 SciPro
Salary not disclosed
Responsibilities:
- Ensure all design control activities for new and updated products meet company procedures and global regulatory requirements.
- Lead risk management activities, including hazard analysis, FMEAs, and risk documentation.
- Support sterilization and biocompatibility assessments.
- Own and maintain design control documentation.
- Partner with R&D, Regulatory, Manufacturing, and Project Management to ensure quality is built into every stage of product development.
- Maintain accurate test, validation, and risk records and report progress to leadership.
- Support regulatory submissions (e.g., 510(k), CE Mark).
- Lead root cause investigations and corrective actions related to design issues.
- Support complaint investigations, nonconformances, and CAPAs after product launch.
- Conduct DHF audits to ensure phase completion requirements are met.
- Review and approve engineering documents and test reports.
- Identify opportunities to improve product quality, reduce cost, and increase efficiency.
Requirements
- Bachelor’s degree in Engineering or related field.
- 10+ years of quality engineering experience in medical devices, including new product launches.
- Experience with sterilization and biocompatability
- Strong knowledge of design controls, risk management, and medical device regulations (FDA, ISO, IEC).
- Experience with verification & validation (V&V) and FMEAs.
- Strong problem-solving and statistical analysis skills (e.g., Minitab, JMP).
- Detail-oriented with strong documentation skills.
- Quality certifications (CQE, CSQE, Six Sigma) are a plus.
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.
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You can reply STOP to cancel and HELP for help.
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Not Specified
J
Manager, Software Engineering - Healthtech
🏢 Jobot
Salary not disclosed
100% Remote! This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000
- $230,000 per year A bit about us: We are in the Healthtech space! We’re looking for a strong technical leader — not a people manager who used to code, but someone who still can.
This role is for a hands-on Engineering Manager who has led teams of 5+ developers and brings both technical depth and practical leadership.
You’ll work closely with Product and Engineering leadership to ship scalable cloud-based healthcare solutions.
Why join us? Meaningful impact Ownership Ability to shape technical direction Excellent Benefits Career growth Job Details What You’ll Do Lead and mentor a team of 5+ engineers Stay close to the architecture and technical decisions Drive execution, delivery, and quality Partner cross-functionally with Product Establish practical engineering processes (without overcomplicating them) Must have Skills: 5+ years in software engineering 2+ years leading teams of 5+ developers Strong cloud experience (AWS, GCP, or Azure) Background in healthcare or healthtech Hands-on technical depth (architecture, system design, code reviews) Sound judgment and common sense in decision-making Ability to balance velocity with quality Nice to have: Experience building cloud-native healthcare platforms Startup or high-growth environment experience 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: $160,000
- $230,000 per year A bit about us: We are in the Healthtech space! We’re looking for a strong technical leader — not a people manager who used to code, but someone who still can.
This role is for a hands-on Engineering Manager who has led teams of 5+ developers and brings both technical depth and practical leadership.
You’ll work closely with Product and Engineering leadership to ship scalable cloud-based healthcare solutions.
Why join us? Meaningful impact Ownership Ability to shape technical direction Excellent Benefits Career growth Job Details What You’ll Do Lead and mentor a team of 5+ engineers Stay close to the architecture and technical decisions Drive execution, delivery, and quality Partner cross-functionally with Product Establish practical engineering processes (without overcomplicating them) Must have Skills: 5+ years in software engineering 2+ years leading teams of 5+ developers Strong cloud experience (AWS, GCP, or Azure) Background in healthcare or healthtech Hands-on technical depth (architecture, system design, code reviews) Sound judgment and common sense in decision-making Ability to balance velocity with quality Nice to have: Experience building cloud-native healthcare platforms Startup or high-growth environment experience 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
Product Software Developer (Full-Stack)
🏢 Jobot
Salary not disclosed
Series B Startup is looking for a Product Software Developer to join their growing team! 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: $140,000
- $200,000 per year A bit about us: Growing Series-B SaaS startup with offices in NY and SF is looking for a Full-Stack Software Developer to join their dynamic team! Their team includes veterans from FAANG and successful Bay Area tech startups.
Think to Uber but for knowledge using AI to simplifying the user experience while solving highly technical challenges across search, data, recommendations, and payments.
The primary qualities we are looking for is someone who's driven, curious, and eager to learn from a few really great, experienced engineers.
Strong preference for SF or NYC-based.
Why join us? Equity, Great Benefits, Remote Flexibility (local candidates are prioritized), Growth Opportunity, Great Culture, PTO, 401K plus match, and much more! Job Details Responsibilities Build and ship impactful product features in partnership with engineering, design, and business teams.
Integrate emerging AI tools into both the platform and engineering workflows.
Enhance platform architecture and data models to ensure a high-performance, reliable user experience.
Create and maintain systems for efficient data collection, processing, storage, and retrieval.
Collaborate with cross-functional teams to streamline and integrate data workflows.
Requirements 3 or more years of experience and a track record of building and shipping high quality products and features.
Bachelor's degree in CS or related Experience in SaaS or at high-growth tech companies and interested in joining a startup Full-Stack experience with Node / TypeScript, React, and a focus on building APIs and data platforms.
Excellent problem-solving skills and attention to detail.
Ability to work in a fast-paced, collaborative environment.
Passion for making data systems observable and highly automated.
Comfortable working in fast-paced environments with evolving product requirements Knowledgeable with MongoDB, and AWS Bonus Points: Experience with search, recommendations, and/or data problem sets Kubernetes, Elasticsearch, or AI/ML tooling Expertise in designing systems for scalability, reliability, and performance.
Proficiency in relevant programming languages and frameworks.
Experience building software from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
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: $140,000
- $200,000 per year A bit about us: Growing Series-B SaaS startup with offices in NY and SF is looking for a Full-Stack Software Developer to join their dynamic team! Their team includes veterans from FAANG and successful Bay Area tech startups.
Think to Uber but for knowledge using AI to simplifying the user experience while solving highly technical challenges across search, data, recommendations, and payments.
The primary qualities we are looking for is someone who's driven, curious, and eager to learn from a few really great, experienced engineers.
Strong preference for SF or NYC-based.
Why join us? Equity, Great Benefits, Remote Flexibility (local candidates are prioritized), Growth Opportunity, Great Culture, PTO, 401K plus match, and much more! Job Details Responsibilities Build and ship impactful product features in partnership with engineering, design, and business teams.
Integrate emerging AI tools into both the platform and engineering workflows.
Enhance platform architecture and data models to ensure a high-performance, reliable user experience.
Create and maintain systems for efficient data collection, processing, storage, and retrieval.
Collaborate with cross-functional teams to streamline and integrate data workflows.
Requirements 3 or more years of experience and a track record of building and shipping high quality products and features.
Bachelor's degree in CS or related Experience in SaaS or at high-growth tech companies and interested in joining a startup Full-Stack experience with Node / TypeScript, React, and a focus on building APIs and data platforms.
Excellent problem-solving skills and attention to detail.
Ability to work in a fast-paced, collaborative environment.
Passion for making data systems observable and highly automated.
Comfortable working in fast-paced environments with evolving product requirements Knowledgeable with MongoDB, and AWS Bonus Points: Experience with search, recommendations, and/or data problem sets Kubernetes, Elasticsearch, or AI/ML tooling Expertise in designing systems for scalability, reliability, and performance.
Proficiency in relevant programming languages and frameworks.
Experience building software from scratch at a fast-growing startup with an understanding of data modeling, ontologies, and knowledge graphs.
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
permanent
J
Senior Product Manager
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Christina Finster Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $190,000 per year A bit about us: Our client is an early-stage Series B, venture-backed startup building the world’s first direct-to-satellite Bluetooth® network.
With applications in logistics, AgTech, and maritime, their mission is to become the first billion-endpoint-connected network in the world.
The founding team has already launched billions in space assets, raised hundreds of millions in venture funding, and built household-name IoT networks.
Now, they’re expanding the team to bring this vision to life.
Why join us? Shape the future of IoT and satellite connectivity with cutting-edge tech Competitive salary: $160K–$195K (DOE) Comprehensive health, dental, and vision coverage + HSA options Unlimited PTO & a global sabbatical program to recharge Health & wellness stipends + commuter benefits Learning & development allowance Opportunity to work in Seattle, San Francisco, or remotely in PST Job Details We’re looking for a Senior Product Manager to help lead execution across our clients core product area, including their satellite and terrestrial networks, developer platform, applications and tools, and partner solutions.
This role is about owning the “why” and the “what” of what they build, driving clarity and momentum across engineering, design, and customer teams.
You’ll work closely with leaders across hardware, firmware, software, and customer success to translate strategic goals into clear product plans and deliverables.
This is a hands-on role for a builder; someone who can move between technical detail, customer insight, and company strategy without losing momentum.
Responsibilities ● Drive execution of roadmap initiatives within one or more product areas (Network Services, Developer Platform, Applications & Tools, Partner Solutions) ● Translate strategy and technical requirements into actionable product specs, milestones, and deliverables ● Partner closely with engineering and design to ensure quality and alignment from concept to release ● Define and track success metrics tied to reliability, usability, adoption, and scale ● Gather and synthesize feedback from customers, partners, and internal teams to inform priorities ● Collaborate with program management to ensure on-time, high-quality delivery ● Communicate priorities, tradeoffs, and progress clearly across teams and leadership Qualifications ● 5–10 years of product management experience in a technical domain (connectivity, developer tools, IoT, or platform infrastructure) ● Proven ability to drive execution and ship products in cross-functional environments ● Strong technical fluency; comfort engaging with engineers across hardware, software, embedded and cloud systems ● Experience writing product specs, defining roadmaps, and aligning diverse teams ● Customer-first mindset; proven ability to connect user pain points to technical solutions ● Excellent organizational and communication skills; thrives in ambiguity and fast-paced settings ● Comfortable operating in early-stage start-up environments ● Entergetic, Hands-on, and resourceful Candidate Must-Haves U.S.
Citizenship or Green Card (ITAR requirement) Located in Seattle, San Francisco, or Remote (PST time zone) 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: $150,000
- $190,000 per year A bit about us: Our client is an early-stage Series B, venture-backed startup building the world’s first direct-to-satellite Bluetooth® network.
With applications in logistics, AgTech, and maritime, their mission is to become the first billion-endpoint-connected network in the world.
The founding team has already launched billions in space assets, raised hundreds of millions in venture funding, and built household-name IoT networks.
Now, they’re expanding the team to bring this vision to life.
Why join us? Shape the future of IoT and satellite connectivity with cutting-edge tech Competitive salary: $160K–$195K (DOE) Comprehensive health, dental, and vision coverage + HSA options Unlimited PTO & a global sabbatical program to recharge Health & wellness stipends + commuter benefits Learning & development allowance Opportunity to work in Seattle, San Francisco, or remotely in PST Job Details We’re looking for a Senior Product Manager to help lead execution across our clients core product area, including their satellite and terrestrial networks, developer platform, applications and tools, and partner solutions.
This role is about owning the “why” and the “what” of what they build, driving clarity and momentum across engineering, design, and customer teams.
You’ll work closely with leaders across hardware, firmware, software, and customer success to translate strategic goals into clear product plans and deliverables.
This is a hands-on role for a builder; someone who can move between technical detail, customer insight, and company strategy without losing momentum.
Responsibilities ● Drive execution of roadmap initiatives within one or more product areas (Network Services, Developer Platform, Applications & Tools, Partner Solutions) ● Translate strategy and technical requirements into actionable product specs, milestones, and deliverables ● Partner closely with engineering and design to ensure quality and alignment from concept to release ● Define and track success metrics tied to reliability, usability, adoption, and scale ● Gather and synthesize feedback from customers, partners, and internal teams to inform priorities ● Collaborate with program management to ensure on-time, high-quality delivery ● Communicate priorities, tradeoffs, and progress clearly across teams and leadership Qualifications ● 5–10 years of product management experience in a technical domain (connectivity, developer tools, IoT, or platform infrastructure) ● Proven ability to drive execution and ship products in cross-functional environments ● Strong technical fluency; comfort engaging with engineers across hardware, software, embedded and cloud systems ● Experience writing product specs, defining roadmaps, and aligning diverse teams ● Customer-first mindset; proven ability to connect user pain points to technical solutions ● Excellent organizational and communication skills; thrives in ambiguity and fast-paced settings ● Comfortable operating in early-stage start-up environments ● Entergetic, Hands-on, and resourceful Candidate Must-Haves U.S.
Citizenship or Green Card (ITAR requirement) Located in Seattle, San Francisco, or Remote (PST time zone) 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
Plumbing Design Engineer
🏢 Jobot
Salary not disclosed
Plumbing Design Engineer (Healthcare/Labs) – Hybrid This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $100,000
- $130,000 per year A bit about us: We are a full-service engineering consulting firm based in the San Francisco Bay Area, providing high-quality MEPFP services since 1941.
Known for rapid growth, we prioritize our team's well-being and work-life balance.
Join our close-knit team of professionals and enjoy opportunities for growth and recognition.
Why join us? Competitive Base Salary! Competitive Bonus Package! Generous PTO! Complete Benefits Package! Flexible Work Schedules! Accelerated Career Growth! Job Details Plumbing Design Engineer (Healthcare/Labs) – Hybrid Seeking Plumbing Design Engineer with experience in Biotech, Labs, Healthcare, Science & Technology, Mission Critical, and Commercial facilities.
Completes project designs, drawings, specifications, system studies, calculations, correspondence, survey, code studies, and construction administration, as necessary.
Performs 3D Revit and 2D CAD work.
Medical Gas Experience.
Performs involved and detailed design requirements.
Proficient in Revit, AutoCAD, Blue Beam, Microsoft Office (Outlook, Excel, etc.).
Working knowledge of current Building Codes.
High level of written and verbal communication skills.
Team Player with Good People Skills We can offer you the opportunity to work on State-of-the-Art Projects and make a meaningful impact on today's society and the next generation! Help us revolutionize the mechanical engineering industry and enjoy accelerated career growth with a "Best Places to Work" recipient! 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: $100,000
- $130,000 per year A bit about us: We are a full-service engineering consulting firm based in the San Francisco Bay Area, providing high-quality MEPFP services since 1941.
Known for rapid growth, we prioritize our team's well-being and work-life balance.
Join our close-knit team of professionals and enjoy opportunities for growth and recognition.
Why join us? Competitive Base Salary! Competitive Bonus Package! Generous PTO! Complete Benefits Package! Flexible Work Schedules! Accelerated Career Growth! Job Details Plumbing Design Engineer (Healthcare/Labs) – Hybrid Seeking Plumbing Design Engineer with experience in Biotech, Labs, Healthcare, Science & Technology, Mission Critical, and Commercial facilities.
Completes project designs, drawings, specifications, system studies, calculations, correspondence, survey, code studies, and construction administration, as necessary.
Performs 3D Revit and 2D CAD work.
Medical Gas Experience.
Performs involved and detailed design requirements.
Proficient in Revit, AutoCAD, Blue Beam, Microsoft Office (Outlook, Excel, etc.).
Working knowledge of current Building Codes.
High level of written and verbal communication skills.
Team Player with Good People Skills We can offer you the opportunity to work on State-of-the-Art Projects and make a meaningful impact on today's society and the next generation! Help us revolutionize the mechanical engineering industry and enjoy accelerated career growth with a "Best Places to Work" recipient! 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 Back-End Engineer (Golang)
🏢 Jobot
Salary not disclosed
Senior Back-End Engineer (Golang) – Strong Equity, Excellent Benefits, HealthTech Startup 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
- $225,000 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–$225K base salary (depending on experience).
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
- $225,000 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–$225K base salary (depending on experience).
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.
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