Engineering Jobs in Daly City
331 positions found — Page 25
J
Backend Engineer, Distributed Systems
🏢 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
- $180,000 per year A bit about us: Our client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, reshape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully): This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do: Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable): Strong backend experience in any modern language (Ruby, Python, Go, Java, etc.) Ability and willingness to learn Ruby if it is new to you Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
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
- $180,000 per year A bit about us: Our client builds agentic automation software for credit unions and community banks, turning slow, error-prone loan operations into fast, autonomous, and reliable workflows.
Our platform orchestrates document ingestion, data validation, borrower communication, and downstream integrations using autonomous agents that must be correct, observable, and resilient.
This is production software.
Failures matter.
Observability is required.
Ownership is non-negotiable.
For the past decade, we’ve mastered deploying autonomous agents in one of the most tightly controlled industries — even engineering ways to operate without APIs in systems designed to resist automation.
Today, we’re building Agent Valeria, the first-ever indirect loan packet reviewer that can audit applications end-to-end and deliver compliance decisions autonomously.
By solving the slowest, most error-prone part of lending, we are accelerating lending velocity, reducing mistakes, and reshaping how banks and credit unions work.
This is a rare greenfield opportunity to leave a lasting mark on an entire industry, building systems that matter, reshape how work is done, and endure.
We are a lean, bootstrapped team operating 15+ customer systems at scale.
Every engineer carries meaningful responsibility.
We are self-sustaining and control our financial destiny.
Why join us? Big impact – Join a core team where your code directly affects users and outcomes.
Hands-on autonomy – You’ll own projects end-to-end and help shape system architecture from the ground up.
Smart, no-fluff culture – Work with a team that values clarity, extreme ownership, and fast iteration.
Mission-driven – Build tools that help community banks compete in a world of megafintech.
Startup agility – Ship daily.
Influence product.
Leave a legacy.
If you like building durable, production-grade systems that solve real problems—and doing it alongside talented engineers who care deeply about their craft—this is the place.
Job Details The Role (Read-Carefully): This is a hands-on, senior individual contributor role on a small, high-throughput platform team.
You will own and operate real production systems.
You will ship to production early.
You will be on-call for the systems you touch.
You will be expected to design your part well — and live with the consequences.
This role is not about exploration, endless design, or theoretical elegance.
It is about turning ambiguity into working systems under pressure.
If you are looking for: A gentle ramp A large team with safety nets A role where someone else owns production This is not the job.
What You Will Do: Own one or more production agent workflows or platform components end-to-end Build and operate event-driven systems processing thousands of records per job and millions of events per day Design for failure: retries, DLQs, isolation boundaries, alarms, and recovery paths Add telemetry and dashboards to understand job state, throughput, and failure modes Ship changes safely using CI/CD checks and deployment guardrails Participate in on-call rotation and incident response Debug production issues with incomplete information and time pressure Make tradeoffs explicit and ship decision artifacts (code, docs, fixes) Improve code quality, tests, and operational clarity in areas you own Work closely with the CEO, COO, and senior engineer on real system constraints What You Bring (Non-negotiable): Strong backend experience in any modern language (Ruby, Python, Go, Java, etc.) Ability and willingness to learn Ruby if it is new to you Hands-on experience shipping and operating production systems you personally supported Real-world AWS experience, especially Lambda, SQS, EventBridge, S3, CloudWatch Firsthand experience with: Lambda limits and failure modes Retries, DLQs, timeouts, and backpressure Cost, blast radius, and operational tradeoffs Comfort making decisions with incomplete data and shipping anyway Willingness to be on-call and accountable for outcomes Clear communicator who externalizes thinking and closes loops Disqualifiers (Read Honestly) Only academic, tutorial, or toy-project experience No on-call or incident ownership “I was part of the team” without first-person responsibility Service-name listing without discussion of outcomes or tradeoffs Preference for extended exploration over shipping Avoidance of pressure, accountability, or ownership Nice to Have Experience in fintech, banking, or regulated environments Exposure to automation, orchestration, or workflow engines Experience operating multi-tenant systems at scale Familiarity with CI/CD pipelines and deployment safety mechanisms How We Work Small team.
Real ownership.
We ship frequently.
We design for failure.
We expect engineers to understand how their code behaves in production.
We value clarity, judgment, and durability over polish.
Feedback is direct.
Responsibility is real.
The Reality Check This is a small tiger team.
Long hours at times.
Occasional weekends.
Ambiguous problems.
Little guidance.
Solo ownership.
Average pay.
High responsibility.
Failure is possible.
In return: Meaningful ownership Recognition The chance to build systems that matter — and last Growth Path This role is already senior in responsibility.
Success means: You reliably own and operate production systems You reduce failure rates and improve visibility You earn deeper architectural ownership through trust, not tenure Professional and financial growth comes from taking on meaningful responsibility and delivering outcomes that enable Shastic to seize a rare, high-impact opportunity.
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
A
Construction Project Manager
Salary not disclosed
Our client is a renowned research and care facility with a focus on corporate social responsibility needs a Construction Project Manager who is highly organized with an exceptional ability to plan and prioritize project details to be the central point of contact for all things related to the completion of construction projects related to the properties.
Job Description
The Construction Project Manager will oversee planning, design, scheduling, budgeting, contract administration and management for construction projects large and small for the Northern California portfolio. The Construction Project Manager ensures completion of projects within budget, on schedule, while meeting all program objectives and appropriate governmental regulations. The Construction Project Manager acts as a liaison between the client/users and all other project participants including consultants, contractors, vendors, and outside jurisdictional agencies. Construction Project Manager will manage these projects from start to completion, with full budgetary and schedule responsibility. Other responsibilities include:
Responsibilities:
- Assesses, and documents project scope and program, describing the objectives, physical requirements, parameters, and constraints of the project, including not only the user's functional needs but also external jurisdictional criteria for health and safety, operation, maintenance, energy efficiency, quality standards, contextual issues, and aesthetics.
- Implements quality control measures to ensure project compliance with department, company policies, government codes and regulations; also ensures conformance to the requirements of all project participants.
- Maintains communications on a regular and timely basis, ensuring that all project participants are informed of project status, problems, and required actions.
- Manages the process of furnishing and equipment selection, purchasing, and installation.
- Manages the review and approval process to ensure appropriate approvals of all design work from schematic studies through final construction documents and related field changes and changes in scope; as well as approval for conceptual and detailed projects budgets.
- Manages the selection process and contract negotiations for consultants, contractors, and vendors.
- Prepares and maintains accurate, coherent, timely, and auditable project records/files, and cost estimates with department procedures; and ensures that space inventory reports are complete.
- Provides leadership, and supervision to assigned consultants.
- Assists in the development of policies, guidelines, standards, and acts as department representative on committees and professional organizations.
Requirements
- Minimum 3 years of general contractor or project management related experience in an architectural or general contractor firm focused on office tenant construction projects.
- Certified Facility Manager (CFM), Project Management Professional (PMP)
- Knowledge of CAD system, CAFM, estimating, cost control, scheduling, construction administration, quality control, specification writing, and space planning
- Experience with OSHPD and TJC requirements.
- Knowledge of local, state and federal regulatory requirements related to areas of functional responsibility
- Strong analytical skills to create, update, and analyze detailed budget and cash flow reports are required.
- Excellent customer service skills and ability to complete projects timely and with high quality – we need a Construction Project Manager with excellent follow through!
- Ability to manage multiple projects, prioritize as necessary and leverage resources throughout the organization.
Education
- Bachelor’s degree is required. In Construction Management, Architectural Engineering, Mechanical Engineering, Civil Engineering, or related discipline is preferred.
Benefits
- PTO, PST, Medical, Dental, and Vision
Compensation
- $110k - $130k
Not Specified
J
Structural Designer
🏢 Jobot
Salary not disclosed
Hybrid Remote
- Reputable & Well Known Structural Engineering Firm in SF
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $90,000
- $105,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.
We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.
Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.
We are hiring a Structural Designer with 2+ years of relevant experience to join our Building Systems Engineering group.
In this role, you will be involved with designing supports for architectural features and components, seismic anchorage and bracing of equipment, structural evaluation, and retrofit design.
Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree (preferred), or 5-year Architectural Engineering degree o Strong background in seismic design of nonstructural components per ASCE Chapter 13 and HCAI CBC Chapter A o 2 to 5 years of professional engineering experience o Excellent verbal and written skills DESIRED o Solid analytical and detailing skills o Skill using 3D modeling programs such as Revit, AutoCAD 3D and Navisworks o Experience in construction administration o Familiarity with OPDs and OSPs for HCAI projects o Professional registration a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Reputable & Well Known Structural Engineering Firm in SF
- Excellent Benefits + Upward Mobility This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $90,000
- $105,000 per year A bit about us: Since the 1960s, we have been committed to providing our clients with exceptional geotechnical, structural, and building systems engineering.
We are a reputable firm and our clients include high-profile tech companies, labs, hospitals, and universities.
Our diverse portfolio includes challenging projects from simple building remodels to tenant improvement projects to complex structural alterations.
We are hiring a Structural Designer with 2+ years of relevant experience to join our Building Systems Engineering group.
In this role, you will be involved with designing supports for architectural features and components, seismic anchorage and bracing of equipment, structural evaluation, and retrofit design.
Why join us? Multiple medical plan options including PPO and HSA Dental and vision insurance Pre-tax flex spending and transit plans Paid personal time off Retirement plans including 401(k) plan Continuing education allowance Hybrid workplace Job Details REQUIRED o A master’s degree (preferred), or 5-year Architectural Engineering degree o Strong background in seismic design of nonstructural components per ASCE Chapter 13 and HCAI CBC Chapter A o 2 to 5 years of professional engineering experience o Excellent verbal and written skills DESIRED o Solid analytical and detailing skills o Skill using 3D modeling programs such as Revit, AutoCAD 3D and Navisworks o Experience in construction administration o Familiarity with OPDs and OSPs for HCAI projects o Professional registration a plus Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
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
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 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.
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