Pitchbook

AI Product Engineer

Pitchbook • $120K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-8 years of experience in shipping zero-to-one or hyper-growth products
  • Experience with at least one live LLM-powered feature or agent
  • Fluency in full-stack development from React/Svelte to k8s & GPU queues
  • Attention to design for user-friendly interfaces
  • Prefer in-person collaboration in SF

Responsibilities

  • Harness frontier LLMs into advanced memory, reasoning, and planning systems
  • Craft full-stack features using Python, TypeScript, Postgres, and GPU infrastructure
  • Rapidly prototype new ideas and iterate based on user feedback
  • Engineer for reliability with low-latency execution and comprehensive telemetry
  • Invent APIs and safety guardrails for deploying cutting-edge research
  • Listen to users to translate pain points into delightful experiences

Benefits

  • Lunch and snacks provided at the office
  • Fully covered medical, dental, and vision insurance for employees
  • Relocation and immigration support
Full Job Description
The technical face of AGI inside the world's biggest device makers.

You'll be the connective tissue between AGI's research and engineering teams and the partners who put our agents in front of millions of users. You'll spend real time onsite - at global headquarters, R&D labs, and manufacturing facilities - turning vague partner asks into shipped capabilities. Then fly back, get into the codebase, and build the feature.

This is for engineers who get bored shipping internal tools. You want your work in a keynote demo.

🤩 Tasks you will own
  • The path from "interesting idea on a partner call" to "feature shipped on a flagship device" - prompts, evals, mobile code, and the launch readiness doc
  • Onsite technical leadership at one or more partners - you're the senior eng they call when something matters
  • End-to-end product surfaces for one or more agent capabilities, on-device
🤚 Areas where you will assist
  • Research, by translating model improvements into partner wins
  • Partnerships, by building partner-ready demos that close deals and expand scope
  • Product engineering, by bringing partner feedback back in a way that actually changes what we build
Skills you'll be expected to teach
  • How to scope a partner ask without freezing - turning "make it magical" into prompt + model + UX decisions
  • How to ship LLM-powered features that survive contact with a real device, a real user, and a real launch date
Skills you'll be expected to learn
  • On-device inference, mobile constraints, and the engineering of running models outside the cloud
  • World-class consumer hardware product development, from the inside
  • Reliable agentic systems from the people who published the canonical papers on it
Timeline of success

After 30 days - Onsite at least once with a partner. One agent capability shipped into our codebase. You know which model and agent assumptions break in their environment.

After 60 days - Partner PMs ping you directly. A feature you shipped is running on partner devices in pre-production. You can name, without a deck, the three things this partner needs from us next quarter - and you have prototypes for two of them.

After 90 days - Your work is in a partner launch path. You've made the case for the next major bet on this account and the team has bought in. Partner leadership references you by name.

Compensation

Competitive cash and meaningful equity. Covered international travel for partner work. Top-tier relocation and immigration support. SF, in person.

How to apply

Send a link to something you built with a customer or partner, your resume or LinkedIn, and two sentences on the hardest problem you've cracked under a real deadline. Every exceptional candidate hears back within 48 hours.

About Pitchbook

PitchBook is a financial data and software company that provides research, analysis, and data on private equity, venture capital, and M&A transactions. The company's platform offers a range of tools and services, including market research, deal sourcing, due diligence, and portfolio management. PitchBook serves a variety of clients, including investment banks, private equity firms, venture capital firms, and corporate development teams. The company was founded in 2007 and is headquartered in Seattle, Washington.
Learn more about Pitchbook
Size
1,000 employees
Industry
Founded
2007

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