Fullstack Product Engineer

Single Grain•Los Angeles, CA

7d•Remote

About The Position

Single Grain is a Revenue Marketing agency that builds pipeline-focused systems. They are evolving into a tech-enabled services (TES) company, combining software, automation, and services. The company is fully remote and operates as an AI-native team, expecting all roles to use AI to increase speed, quality, and leverage. This role is for a Senior Full Stack Product Engineer who will drive revenue growth by identifying high-leverage product opportunities, shipping them end-to-end, measuring their impact, and iterating. The primary KPI is to increase Free Trial to Paid Conversion from 20% to 40%. This is an ownership role, not a ticket-execution role, where the engineer will own initiatives from idea to optimization.

Requirements

3+ years of full stack engineering experience at an early-stage startup, with clear evidence of growth — promotions, expanded scope, or increased ownership over that time.
Have built and shipped a product end-to-end that real users paid for or actively used. Ability to speak to personal contributions, problems encountered, and iteration process.
Think in funnels, not features. Frame engineering decisions in terms of conversion, retention, and expansion — not just technical correctness.
AI Power User: Built repeatable workflows with AI, quantified time savings, and actively seek more applications.
Comfortable with ambiguity and full ownership. Ability to look at data, form a hypothesis, build a test, ship it, and measure the result without a PM.
Not a ticket-closer. Not a junior-to-senior stepping stone; must operate at a senior level ready to own revenue outcomes from Day 1.
Not a single-discipline specialist. Must be comfortable spanning the full stack.
Not a casual AI user. Requires AI-native workflows, not occasional experimentation.

Nice To Haves

Experience in PLG (Product-Led Growth) environments
Experience with A/B testing frameworks
Experience with growth experiment design
Experience with event instrumentation tools

Responsibilities

Own the conversion funnel: Audit the full free trial → paid activation flow, map drop-off points with data, and ship improvements that move conversion rates.
Ship production code independently: Build and deploy backend, frontend, and infrastructure changes without waiting for a dedicated DevOps team.
Run structured growth experiments: Launch a minimum of two activation experiments per month by Month 6; instrument event analytics to measure impact.
Build in-product expansion triggers: Design and ship a system that identifies expansion opportunities within the product and surfaces them to users.
Operate AI-native workflows: Use AI (Claude, Cursor, and similar) for scaffolding, refactoring, and test creation. Document repeatable prompt workflows. Contribute to internal AI SOPs. Target: reduce dev cycle time by 40%+ within 12 months.
Submit a revenue-focused roadmap within 30 days: Audit onboarding and activation, identify the top three revenue-impact friction points, and present a 12-month product roadmap with supporting data.