Staff AI Product Engineer

LettrLabs•Los Angeles, CA

1d•$200,000 - $250,000

About The Position

LettrLabs is hiring a Staff AI Product Engineer to build AI products for business teams including sales, go-to-market, customer service, marketing, and finance. The role combines product work and engineering, with responsibility for discovering opportunities alongside each team and delivering production products that measurably improve business outcomes. It is not an integration or solutions role; the engineer owns products end to end, from discovery through post-launch reliability, iteration, adoption, and impact measurement. The position reports directly to the VP of Software. The engineer will work directly with business teams to understand workflows, goals, and pain points; identify opportunities for AI tools, agents, and automation; and design, build, and ship solutions from prototype to production. They will define success metrics and baselines with each team, build on LettrLabs' existing technology stack where appropriate, select other technologies when better suited, and develop reusable patterns and components to accelerate future deployments. They will also teach and enable teams to use and extend the tools. The role is preferred in-office in Los Angeles, California, but remote applicants will be considered.

Requirements

At least 8 years of software engineering experience, with staff-level work or equivalent scope.
Meaningful product engineering experience, including shipping user-facing products and owning outcomes.
Hands-on experience building with LLMs, such as agents, tool use, retrieval, evaluations, or context engineering.
Strong product sense and ability to turn messy business processes into clear problems and working solutions.
Excellent communication with non-technical stakeholders, from frontline representatives to executives.
Ability to work autonomously, set priorities, and ship quickly with high quality.
Comfort owning production systems, including monitoring, reliability, and ongoing iteration.

Nice To Haves

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

Responsibilities

Embed with business teams to understand their goals, workflows, and pain points firsthand.
Map end-to-end business processes and identify where AI tools, agents, or automation can improve team KPIs.
Design, build, and ship AI tools and harnesses from prototype through production.
Own shipped products after launch, including reliability, iteration, adoption, and impact measurement.
Define success metrics and baselines with teams, such as pipeline per BDR or customer retention.
Build on the existing technology stack where appropriate and select new technologies when they better serve the problem.
Create reusable patterns, components, and context to accelerate subsequent deployments.
Teach and enable teams to use and extend the tools.