[Hiring] Staff AI Product Engineer @LettrLabs

Role Description

LettrLabs already runs on AI. We built our own internal agentic operating system, and AI is deployed extensively across our technical teams. Now we're bringing that leverage to the rest of the company.

As a Staff AI Product Engineer, you'll build genuinely novel AI products for our business teams: sales, go-to-market, customer service, marketing, and finance. This is not an integration or solutions role. You'll own real products end to end, from discovery with each team to production systems that move their numbers.

The role is roughly 50% product and 50% engineering. You'll sit with each team, map how their work actually flows, find where AI creates real lift, then build and own the product. You report directly to the VP of Software.

What you'll do

• Embed with teams across the business to understand their goals, workflows, and pain points firsthand.
• Map business processes end to end and identify where AI tools, agents, or automation will move the team's KPIs.
• Design, build, and ship AI tools and harnesses, from prototype to production.
• Own what you ship after launch: reliability, iteration, adoption, and measuring impact.
• Work with each team to define its success metrics and baselines, such as pipeline per BDR or customer retention.
• Build on our existing stack where it fits, and choose new technologies where they serve the problem better.
• Create reusable patterns, components, and context so each new deployment is faster than the last.
• Teach and enable teams to use and extend the tools, multiplying impact beyond what you build directly.

Qualifications

• 8+ years of software engineering experience, with work at the staff level or equivalent scope.
• Meaningful product engineering experience: you've shipped user-facing products and own outcomes.
• Hands-on experience building with LLMs, such as agents, tool use, retrieval, evals, or context engineering.
• Strong product sense: you can turn a messy business process into a clear problem and a working solution.
• Excellent communication with non-technical stakeholders, from frontline reps to executives.
• Proven ability to work autonomously, set your own priorities, and ship quickly with high quality.
• Comfort owning production systems, including monitoring, reliability, and ongoing iteration.

Requirements

• Experience as a forward deployed engineer, solutions engineer, or in another customer-embedded engineering role.
• Familiarity with sales, marketing, customer success, or finance tooling and workflows (CRMs, support platforms, BI).

Benefits

• Medical, dental, and vision coverage
• Equity in a fast-growing company
• 401(k) plan
• Flexible PTO and paid holidays
• On-site gym
• Pet-friendly
• Free daily lunch, team off-sites, and happy hours
• Located in the heart of Marina Del Rey, a walkable neighborhood with easy access to shops, restaurants, and the marina