Engineering Jobs in Daly City, CA
342 positions found — Page 26
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
S
Automotive Mechanic
Salary not disclosed
Stewart Automotive Group currently has an opening for an Automotive Mechanic and is looking for someone who is willing to grow in their automotive career.
Stewart Automotive has been a family owned dealership since 1933 and is looking for someone to join and grow in their family.
Knowledge; Skills and Abilities: Ability to perform general maintenance Perform repairs on brakes, suspension, steering components Perform diag/repairs on different types of engines and transmission.
Able to properly diagnosis electrical and drivability concerns Work on gas and diesel vehicles.
We are also looking for entry-level technicians (lube technician): primary responsibilities will be to perform maintenance on vehicles (oil changes, fluid services, tire rotation, tire replacements, etc), perform new vehicle inspections Valid CA Driver License with a clean driving record 3-5 years of automotive experience ASE Certified is a plus but not a requirement Ability to work independently, but also assist other technicians when needed Able to lift 50 + pounds at a time Provide your own tools Must perform online and in class studies in order to keep up to date with all Chrysler Products.
Benefits: Competitive Pay + bonuses Paid holidays 401K; Medical/Dental Coverage, Sick Pay (after probation period) APPLY NOW
Stewart Automotive has been a family owned dealership since 1933 and is looking for someone to join and grow in their family.
Knowledge; Skills and Abilities: Ability to perform general maintenance Perform repairs on brakes, suspension, steering components Perform diag/repairs on different types of engines and transmission.
Able to properly diagnosis electrical and drivability concerns Work on gas and diesel vehicles.
We are also looking for entry-level technicians (lube technician): primary responsibilities will be to perform maintenance on vehicles (oil changes, fluid services, tire rotation, tire replacements, etc), perform new vehicle inspections Valid CA Driver License with a clean driving record 3-5 years of automotive experience ASE Certified is a plus but not a requirement Ability to work independently, but also assist other technicians when needed Able to lift 50 + pounds at a time Provide your own tools Must perform online and in class studies in order to keep up to date with all Chrysler Products.
Benefits: Competitive Pay + bonuses Paid holidays 401K; Medical/Dental Coverage, Sick Pay (after probation period) APPLY NOW
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 Software Engineer (React/Python)
🏢 Jobot
Salary not disclosed
Our client is a direct-to-consumer e-commerce company in the home and garden industry, utilizing cutting-edge data analysis.
This Jobot Job is hosted by: Mallory Schreiner Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $165,000
- $190,000 per year A bit about us: Our client is a direct-to-consumer e-commerce company in the home and garden industry, utilizing cutting-edge data analysis.
Why join us? Remote first culture Stable work Competitive salary, equity, and benefits Job Details REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What We’re Looking For ● Proven Experience: 5+ years of experience building and engineering exceptional user interfaces.
● React Mastery: Experience building applications with a strong grasp of data structures, best practices, scalable patterns, algorithms, and web performance optimization.
● Design Intuition: Strong understanding of user experience and visual design principles.
● Technical Leadership: Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members.
● Backend Experience: Comfort working with Python, Django, and FastAPI, with the ability to build and interact with APIs effectively.
Proven track record of contributing to python projects in a professional capacity.
● Startup Mentality: Comfortable in a fast-paced, high-growth environment where adaptability and problem-solving are key.
● Key Strengths: Persistence, intelligence, creativity, flexibility, passion, humility, curiosity, and professionalism.
● Communication, soft skills, ability to effectively participate in discussions Bonus Points – We’d Be Really Impressed If You Have: ● Experience working with Kubernetes, Argo, and Google Cloud Platform.
● A track record of building full-stack applications from scratch, making technical decisions that balance performance, maintainability, and scalability.
● Familiarity with infrastructure as code and DevOps best practices.
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: Mallory Schreiner Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $165,000
- $190,000 per year A bit about us: Our client is a direct-to-consumer e-commerce company in the home and garden industry, utilizing cutting-edge data analysis.
Why join us? Remote first culture Stable work Competitive salary, equity, and benefits Job Details REQUIREMENT: You must reside in one of the following states: AR, CA, CO, CT, HI, MA, ME, MN, MO, NC, NV, NY, OK, PA, TX, UT, VT, or WA.
What We’re Looking For ● Proven Experience: 5+ years of experience building and engineering exceptional user interfaces.
● React Mastery: Experience building applications with a strong grasp of data structures, best practices, scalable patterns, algorithms, and web performance optimization.
● Design Intuition: Strong understanding of user experience and visual design principles.
● Technical Leadership: Experience leading frontend initiatives, making architectural decisions, bridging the gap between FE and existing BE systems, and mentoring team members.
● Backend Experience: Comfort working with Python, Django, and FastAPI, with the ability to build and interact with APIs effectively.
Proven track record of contributing to python projects in a professional capacity.
● Startup Mentality: Comfortable in a fast-paced, high-growth environment where adaptability and problem-solving are key.
● Key Strengths: Persistence, intelligence, creativity, flexibility, passion, humility, curiosity, and professionalism.
● Communication, soft skills, ability to effectively participate in discussions Bonus Points – We’d Be Really Impressed If You Have: ● Experience working with Kubernetes, Argo, and Google Cloud Platform.
● A track record of building full-stack applications from scratch, making technical decisions that balance performance, maintainability, and scalability.
● Familiarity with infrastructure as code and DevOps best practices.
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
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
Director of Quality
🏢 Jobot
Salary not disclosed
Lead Quality at the Forefront of MedTech Innovation!! This Jobot Job is hosted by: Chris Gorman Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $200,000
- $230,000 per year A bit about us: We are a privately held medical device company dedicated to improving treatment options for patients suffering from an enlarged prostate.
Our company’s innovative, minimally invasive technology was designed with the patient experience at the forefront, and our product has passed PMA review and is ready for commercial use! Why join us? What We Offer: Competitive base pay and equity Full benefits: Medical, Dental, Vision Generous PTO, vacation, sick, and holidays Life Insurance coverage 401K Free Lunch Friday Job Details Job Details: We are seeking a dynamic and experienced Permanent Director of Quality to join our team in the Manufacturing industry.
This role is critical to the success of our organization, as you will be responsible for leading and managing all aspects of our Quality Assurance program.
You will be instrumental in ensuring that our products meet the highest standards of quality, safety, and efficacy.
You will work closely with various departments, including production, engineering, and regulatory affairs, to ensure compliance with all relevant regulations and standards.
Responsibilities: 1.
Overseeing the development and implementation of our Quality Assurance program, ensuring compliance with ISO 13485, FDA QSR, and EU MDD regulations.
2.
Leading the quality team in the execution of quality assurance activities, including inspection, testing, and auditing of our products to ensure they meet all required specifications.
3.
Collaborating with the engineering and production teams to ensure quality is built into our products from the ground up.
4.
Managing the investigation and resolution of product quality issues, implementing corrective and preventive actions as necessary.
5.
Leading the preparation and submission of regulatory filings, including 510k submissions for Class 3 Medical Devices.
6.
Ensuring the commercial production of devices is in compliance with all relevant regulations and standards.
7.
Providing leadership and guidance in the area of catheter manufacturing, ensuring the highest levels of quality and safety are maintained.
Qualifications: 1.
A Bachelor’s degree in Engineering, Quality Assurance, or a related field.
2.
A minimum of 5 years of experience in a supervisor quality role in the Med Device industry.
3.
Demonstrated experience with Quality Assurance, ISO 13485, FDA, compliance, FDA QSR, and EU MDD.
4.
Expertise in catheter manufacturing, commercial production devices, and 510k submissions is highly desirable.
5.
Strong leadership and team management skills, with the ability to inspire and motivate a team to achieve high levels of performance.
6.
Excellent problem-solving skills, with a proactive approach to identifying and resolving quality issues.
7.
Strong communication and interpersonal skills, with the ability to effectively liaise with various departments and stakeholders.
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
- $230,000 per year A bit about us: We are a privately held medical device company dedicated to improving treatment options for patients suffering from an enlarged prostate.
Our company’s innovative, minimally invasive technology was designed with the patient experience at the forefront, and our product has passed PMA review and is ready for commercial use! Why join us? What We Offer: Competitive base pay and equity Full benefits: Medical, Dental, Vision Generous PTO, vacation, sick, and holidays Life Insurance coverage 401K Free Lunch Friday Job Details Job Details: We are seeking a dynamic and experienced Permanent Director of Quality to join our team in the Manufacturing industry.
This role is critical to the success of our organization, as you will be responsible for leading and managing all aspects of our Quality Assurance program.
You will be instrumental in ensuring that our products meet the highest standards of quality, safety, and efficacy.
You will work closely with various departments, including production, engineering, and regulatory affairs, to ensure compliance with all relevant regulations and standards.
Responsibilities: 1.
Overseeing the development and implementation of our Quality Assurance program, ensuring compliance with ISO 13485, FDA QSR, and EU MDD regulations.
2.
Leading the quality team in the execution of quality assurance activities, including inspection, testing, and auditing of our products to ensure they meet all required specifications.
3.
Collaborating with the engineering and production teams to ensure quality is built into our products from the ground up.
4.
Managing the investigation and resolution of product quality issues, implementing corrective and preventive actions as necessary.
5.
Leading the preparation and submission of regulatory filings, including 510k submissions for Class 3 Medical Devices.
6.
Ensuring the commercial production of devices is in compliance with all relevant regulations and standards.
7.
Providing leadership and guidance in the area of catheter manufacturing, ensuring the highest levels of quality and safety are maintained.
Qualifications: 1.
A Bachelor’s degree in Engineering, Quality Assurance, or a related field.
2.
A minimum of 5 years of experience in a supervisor quality role in the Med Device industry.
3.
Demonstrated experience with Quality Assurance, ISO 13485, FDA, compliance, FDA QSR, and EU MDD.
4.
Expertise in catheter manufacturing, commercial production devices, and 510k submissions is highly desirable.
5.
Strong leadership and team management skills, with the ability to inspire and motivate a team to achieve high levels of performance.
6.
Excellent problem-solving skills, with a proactive approach to identifying and resolving quality issues.
7.
Strong communication and interpersonal skills, with the ability to effectively liaise with various departments and stakeholders.
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 Security Engineer
🏢 Jobot
Salary not disclosed
Senior Security Engineer Opportunity This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000
- $160,000 per year A bit about us: The first dedicated security engineer to secure and mature an already-running infrastructure.
You won’t be building from scratch — instead, you’ll strengthen existing systems, harden processes, and make security a core part of how the company scales.
Why join us? What You’ll Do Assess and secure current infrastructure and applications.
Implement monitoring, vulnerability management, and incident response.
Establish security best practices across engineering teams.
Partner with leadership on SOC2/compliance and audit readiness.
Embed security into cloud ops, CI/CD pipelines, and development workflows.
Job Details What You Bring 5+ years in Cloud Ops, SRE, or DevOps roles.
What You Bring 5+ years in security engineering or infosec.
Experience securing AWS infrastructure (IAM, VPC, KMS, GuardDuty).
Familiarity with SOC2, ISO, HIPAA, or other compliance frameworks.
Hands-on with SIEM, threat detection, and remediation.
Ability to be the “first seat” in security — collaborative, pragmatic, and proactive.
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: $120,000
- $160,000 per year A bit about us: The first dedicated security engineer to secure and mature an already-running infrastructure.
You won’t be building from scratch — instead, you’ll strengthen existing systems, harden processes, and make security a core part of how the company scales.
Why join us? What You’ll Do Assess and secure current infrastructure and applications.
Implement monitoring, vulnerability management, and incident response.
Establish security best practices across engineering teams.
Partner with leadership on SOC2/compliance and audit readiness.
Embed security into cloud ops, CI/CD pipelines, and development workflows.
Job Details What You Bring 5+ years in Cloud Ops, SRE, or DevOps roles.
What You Bring 5+ years in security engineering or infosec.
Experience securing AWS infrastructure (IAM, VPC, KMS, GuardDuty).
Familiarity with SOC2, ISO, HIPAA, or other compliance frameworks.
Hands-on with SIEM, threat detection, and remediation.
Ability to be the “first seat” in security — collaborative, pragmatic, and proactive.
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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