Staff AI Product Engineer

Posted 2 Days Ago
Hiring Remotely in Los Angeles, CA, USA
In-Office or Remote
200K-250K Annually
Senior level
Marketing Tech
The Role
Build and own AI products for sales, marketing, customer service, finance, and other business teams. Embed with stakeholders to identify workflow opportunities, define KPI baselines, design AI tools and agents, and ship prototypes through production. Maintain reliability, adoption, monitoring, and ongoing iteration while creating reusable AI patterns and enabling teams to extend the tools. The role combines product discovery and engineering, requiring strong LLM experience, product judgment, communication, and autonomous execution.
Summary Generated by Built In
 
Preferred Location: Los Angeles, CA (In-Office)  |  Full-time 
Will consider: Remote
 
About LettrLabs
 
LettrLabs is disrupting a $30B industry by uniting AI with tangible marketing. One Example: When a storm hits, our platform geo-locates to zip code, activates direct mail campaigns in minutes, and tracks every conversion back to digital.
 
The Role
 
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.
Requirements
  • 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.
Nice to have
  • 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).
How we'll measure success
 
Success is direct, measurable lift on each team's own KPIs. You'll set those metrics and baselines with each team, then move them.
 
LettrLabs USA: $200,000 to $250,000

Actual base salary offered will be determined by: experience, skills, and work location. This range is for base salary; our total compensation includes equity and benefits. We welcome you to apply even if your expectations are outside our listed range.

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

LettrLabs USA
$200,000—$250,000 USD

Actual base salary offered will be determined by: experience, skills, and work location. This range is for base salary, our total compensation includes equity and benefits. We welcome you to apply even if your expectations are outside our listed range.

LettrLabs is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

LettrLabs is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures and throughout employment. If you need assistance or any accommodation, please let us know.

LettrLabs does not accept unsolicited resumes from recruiters or employment agencies without a fully executed recruitment agreement in place. In the absence of such agreement, LettrLabs reserves the right to pursue and hire any candidates without an obligation to pay fees. Agencies are requested not to contact LettrLabs hiring managers or employees regarding recruiting services.

Skills Required

  • 8+ years of software engineering experience, with staff-level experience or equivalent scope
  • Meaningful product engineering experience shipping user-facing products and owning outcomes
  • Hands-on experience building with large language models, including 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
  • Experience owning production systems, including monitoring, reliability, and ongoing iteration
  • 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, including CRMs, support platforms, or BI
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The Company
25 Employees
Year Founded: 2022

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