Company
Unit
Annual salary
$225k – $275k/yr
Location
San Francisco, CA
Listed
1d ago
- Experience:
- 5 to 10 years
- Workplace:
- On-site 5 days a week in San Francisco, CA (required). Limited relocation flexibility: candidates already in California may be considered, but Unit won't relocate people from far away (for example, Europe) and needs someone who can start in the office right away.
- Equity:
- Competitive
On-site in San Francisco, CA.
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What you'll do
- Design and develop full-stack features for GTV, Unit's AI video platform, including elegant UIs, robust APIs and scalable infrastructure
- Take ownership of the product side of GTV and drive features from prototype to launch, with a focus on latency, usability and visual craftsmanship
- Work closely with Product, Sales, Marketing and the founders to integrate generative models (at the API layer) and unlock new consumer use cases
- Build high-quality, design-forward product experiences that turn designs into polished, production-ready interfaces
- Lead major product initiatives from concept to launch, including supporting Unit's big upcoming launches
- Set engineering guidelines and code quality standards, and mentor teammates by example to improve team velocity and product quality Recruiter notes: Ask every candidate for a portfolio of things they've built, especially visual or product work (not a design portfolio). Candidates don't need to be designers, but they must know how to build designs well. This role stops at the API layer: no model training, evals or deep AWS infra ownership is required. The process is fast: one screen with the founder, then a full on-site day (system design, coding, career interview, lunch and a hands-on technical project), with a possible same-day offer.
What you need
- We need someone with 5, 10 years of software engineering experience in full-stack product development (TypeScript, NextJS/React, NodeJS) who has built and shipped real AI/LLM-powered agentic products in industry, with at least 12 months of hands-on agent work at a startup or AI-focused company. You should be comfortable working 5 days a week on-site in a fast-moving, founder-led startup, turning designs into polished, visual product experiences with strong design sense and taste. You should also have a track record of leading by example as a hands-on tech lead: setting engineering standards, writing excellent code, and helping a team of strong mid-level engineers level up. Bonus points if you have experience with video generation, encoding, playback or distribution, or with consumer-facing generative AI products.
Non-negotiables:
- Strong technical fundamentals: a deep understanding of CS concepts, system design, algorithms and app architecture, not just generating code without understanding it. Candidates will face rigorous coding and system design interviews.
- Clear, fluent English communication: strong reading, writing and speaking skills for in-person collaboration, documentation and writing skills/prompts for agents.
- Industry experience with agentic development/LLMs: at least 12 months building agents or LLM products professionally at a startup or company with a strong AI reputation. Personal side projects don't count.
- Startup experience: candidates with only big tech experience are not a fit.
- Formal CS/engineering degree: no bootcamp-only or self-taught backgrounds.
Frequently Asked Questions
How do I apply for the Product Engineer (Full Stack) (US) role at Unit? +
Use the Apply for a referral button on this page to send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role. They'll email you to check you're interested, then put you forward for this job or others that suit you better. It's free.
What does this Unit role pay? +
The listing gives $225k – $275k/yr.
Is this role remote? +
The listing gives the location as San Francisco, CA. On-site 5 days a week in San Francisco, CA (required). Limited relocation flexibility: candidates already in California may be considered, but Unit won't relocate people from far away (for example, Europe) and needs someone who can start in the office right away.
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