San Francisco, California, United States · Hybrid
$180k–$240k/yr
About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across v…
Skills: Data Collection, Data Annotation, Vendor Management, Quality Control, Workflow Optimization
San Francisco, California, United States · On-site
$96k–$144k/yr
Compensation Range $96,100.00 - $144,000.00 Annual Salary Job Description Summary: Produce and oversee consistent Virtual Design Constructions [VDC] deliverables and activities across project/divisions. Job Description: …
Skills: Virtual Design Construction (VDC), BIM Software, Revit, Reality Capture, Site Surveying
San Francisco, California, United States · On-site
$165k–$276k/yr
About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own mediu…
Skills: Kubernetes, AWS, Terraform, Golang, Python
San Francisco, California, United States · Remote OK
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, a…
Skills: Application Security, DevSecOps, Python, Java, SAST
San Francisco, California, United States · On-site
Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automat…
Skills: Mechanical Prototyping, Electronics Prototyping, Linux, SSH, Network Infrastructure
San Francisco, California, United States · On-site
Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automat…
Skills: Hardware Assembly, Cabling, Networking, 3D Printing, Fabrication
San Francisco, California, United States · Hybrid
$198k–$294k/yr
About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine fo…
Skills: Technical Delivery Leadership, RTL Design, Verification, Physical Implementation, EDA Tooling
San Francisco, California, United States · On-site
$24/hr–$28/hr
Company Overview Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's ro…
Skills: Robotic System Monitoring, Safety Protocol Adherence, Emergency Response, Safety Inspections, Situational Awareness
San Francisco, California, United States · On-site
Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of …
Skills: Security Engineering, Cloud Architecture, Zero-Trust Access, Detection Engineering, Security as Code
ConsoleSan Francisco, California, United States · On-site
$200k–$350k/yr
Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a …
Skills: Software Engineering, Machine Learning, Applied AI, AI Evaluation, Model Fine-tuning
San Francisco, California, United States · Hybrid
Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks…
Skills: Clickhouse, Snowflake, BigQuery, Python, Dagster
San Francisco, California, United States · On-site
What We're Building: We have been quietly building the foundational layers of our Physical AI Scientist platform: 🤖 Physical AI that can operate scientific instruments with human-level dexterity. 🧪 Scientific AI that c…
Skills: Robotics Software Engineering, Motion Planning, Computer Vision, Python, Kinematics
San Francisco, California, United States · On-site
$165k–$240k/yr
About Levelpath Backed by some of the top venture capital firms in Silicon Valley and founded by third-time founders with two successful exits, Levelpath is building autonomous procurement. We've built an agentic softwar…
Skills: TypeScript, Node.js, NestJS, PostgreSQL, Docker
San Francisco, California, United States · On-site
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Senior AI Software Engineer - HP IQ Description - Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world work…
Skills: Java, C++, Python, LLM Integration, Agent Orchestration
San Francisco, California, United States · On-site
$180k–$250k/yr
About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stan…
Skills: Go, Python, Next.js, Distributed Systems, Model Inference
San Francisco, California, United States · Remote OK
At Sanity, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital dev…
Skills: TypeScript, React, Node.js, API Development, Full-stack Engineering
San Francisco, California, United States · Hybrid
$180k–$201k/yr
Who We Are Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, an…
Skills: LLM, ML Platform, Infrastructure, Backend Development, TypeScript
San Francisco, California, United States · Hybrid
$150k–$200k/yr
About Seekeasy Seekeasy helps restaurants and hospitality businesses unlock revenue growth with creator-led demand intelligence. We turn social media signals into actionable insights on trends, customer demand, and marke…
Skills: Python, SQL, AWS, Large Language Models, Prompt Engineering
San Francisco, California, United States · Hybrid
$380k–$445k/yr
About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI produ…
Skills: Differential Privacy, Federated Learning, PyTorch, JAX, Secure Aggregation
San Francisco, California, United States · Hybrid
$200k–$300k/yr
F2 Engineer - Member of Technical Staff About F2 F2 is the AI platform for private markets investors — purpose-built to transform how institutional teams underwrite, diligence, and deploy capital. Our AI converts messy, …
Skills: Aws, Gcp, Terraform, Pulumi, Cloudformation
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Lead the end-to-end lifecycle of data acquisition and annotation to build industry-leading AI audio models. Coordinate between research objectives and operational execution by managing internal teams and external vendors.
Seeking a detail-oriented leader with strong communication skills and a passion for Audio AI. Must be an autonomous problem solver capable of translating complex research needs into actionable data specifications.
HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
Working hand-in-hand with Engineering, Data Ops tackles two critical challenges: identifying the exact data required to build industry-leading AI audio models, and figuring out how to acquire and scale that data efficiently.
As a key member of this team, you will drive the complete lifecycle of our data collection and annotation efforts. You will act as the vital link between research objectives and daily operations, coordinating both internal teams and external vendors to ensure top-tier datasets are delivered on schedule. Furthermore, you will help expand our operational capacity by upgrading our tools, streamlining workflows, and nurturing a high-performing team of data labelers.
Translate Research Needs: Convert complex research requirements into clear, actionable data specifications and labeling workflows.
Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are delivered on schedule and meet rigorous quality standards.
Lead Labeling Teams: Direct both in-house and third-party labeling teams by setting guidelines, prioritizing workflows, implementing robust quality control (QC) processes, and monitoring overall throughput.
Scale and Optimize: Continuously improve operational tooling and processes while supporting the hiring, training, and development of our growing labeling workforce.
Detail-Obsessed: Data is all about the details. You excel at collaborating with researchers to craft clear project guidelines and building airtight processes to ensure data meets those standards.
A Strong Communicator: You possess excellent people skills. You are comfortable interacting with researchers, managing external vendors, delivering constructive feedback, and keeping large labeling teams aligned to hit deadlines.
Passionate About Audio AI: You are driven by a desire to push the frontiers of new technology and make content universally accessible.
Highly Motivated & Autonomous: You have a relentless work ethic and operate well without hand-holding. You take initiative from day one, prioritize learning, and leave your ego at the door to help the team lead the evolution of audio AI.
An Analytical Problem Solver: You tackle complex challenges with a first-principles mindset, consistently striving for excellence and delivering high-quality work efficiently.
Opportunity to work at a high-growth AI startup, backed by top investors.
Ownership & Autonomy - Take full ownership of projects and ship fast.
Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
Comprehensive Benefits - Healthcare, dental, vision coverage.
Work With the Best - Join a world-class team of engineers and builders
Our Operating Principles:
Extreme Ownership
We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.
Craftsmanship
Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.
We are “majos”
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.
Talent Density and Meritocracy
Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.
First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.
The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through [email protected] subject to the GDPR.
For more information, visit https://www.happyrobot.ai/privacy-policy
By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
Putting agents to work
HappyRobot helps enterprises like DHL & Naturgy put agents to work in complex environments. Agents are autonomous AI workers capable of communication and coordination. To put them to work means deploying at scale across core business functions, from lead qualification to payment collection and service request to technician dispatch. HappyRobot's platform captures context and gets smarter from every agent interaction, enabling enterprises to develop a highly competitive and differentiated operating system. Go to https://www.happyrobot.ai/ and book a demo to talk to a HappyRobot AI agent!
Offices: San Francisco, California 94114, US · 1111B S Governors Ave, STE 6189, Dover, Delaware 19904, US · Calle de Santa Engracia, 23, Madrid, Community of Madrid 28010, ES · Carrer del Doctor Fleming, 17, Barcelona, Catalonia 08017, ES · London, GB
Based on 2822 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$284k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 3,686 open engineering positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, Anthropic, San Francisco Department of Public Health, Pinterest, Amazon, among others. Browse the listings above to see every active employer.
Yes — 1799 of the 3686 open engineering positions offer remote or hybrid work (368 remote, 1431 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
