This job is closed
Momentic is no longer accepting applications for it. These roles like it are open now:
Founding Engineer (AI)
San Francisco, CAFull-time$175–250K/yrPosted 2mo agoStill listed 6 days ago
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Momentic is building an AI-native automated testing platform used by engineering teams as a quality gate throughout the software development lifecycle. The Founding Engineer (AI) will join a lean, in-person San Francisco team building across a broad product problem space. The company seeks engineers with experience tuning, evaluating, and integrating LLMs, and offers medical, vision, and dental insurance, a 401(k), and unlimited PTO.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
At Momentic, we’re building the future of quality. We’re building the all-in-one quality platform powered by state of the art agents to help our customers ensure quality at every stage of the SDLC.
Top engineering teams at companies like Notion, Retool and Webflow use Momentic to ship high quality product. Millions of Momentic tests are executed every single day.
Our product has a very large problem space so there’s a ton of stuff to build and take ownership of - we’d be excited to get your help as we're hiring several extremely talented software engineers across the stack.
The product
-
The AI-native automated testing platform
-
Incredibly sticky. Our customers run us on every pull request and merge and before each deploy as quality gates
-
Leagues ahead of the status quo today (think Selenium/Cypress/Playwright)
-
Check out the demo video on our website.
About us
-
We’re a lean team of 17 (ex Robinhood, Retool, WeWork, Qualtrics, Assembled)
-
Located in-person San Francisco (650 5th St.)
-
Recent Series A raise of $15M led by Standard Capital, with participation from existing investors - Y Combinator, FCVC, and Transpose Platform.
You’re perfect for this role if…
-
You enjoy solving hard problems that have both product and technical ambiguity
-
You have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great at
-
You dislike meetings and would much rather focus your time on building, being productive, and shipping code
-
You thrive when you have autonomy, own as many of the details as possible, and project manage your own work
-
You're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all love
Must-have qualifications
-
Experience with LLM performance tuning, including prompt engineering and context management strategies
-
Experience with LLM evaluations and observability
-
Experience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)
-
Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten
-
Familiarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments
-
3+ years of experience
Nice to have
-
Experience with supervised or reinforced fine-tuning
-
Experience with classical machine learning techniques such as template matching, bounding box detection, and OCR
-
Experience running statistical experiments
Our stack React, TypeScript, Next.js, Node.js, PostgreSQL, Google Cloud, Kubernetes
Benefits
-
Competitive Medical, Vision, Dental insurance
-
401K
-
Unlimited PTO
-
Offsites and events (Lake Tahoe this year!)
-
Fully stocked kitchen
Sponsorship We can't sponsor H1B Visas or Green Cards (I-140) at this time.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
