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Fullstack Product Engineer

Job in Santa Ana, Orange County, California, 92701, USA
Listing for: Single Grain
Full Time position
Listed on 2026-08-31
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

ABOUT SINGLE GRAIN

Single Grain is a Revenue Marketing agency. We build pipeline-focused systems that compound — not campaigns that expire. We've helped 500+ companies, from venture-backed startups to the Fortune 500, drive measurable growth, influencing billions in revenue with a 3.2x average ROI.

Our portfolio includes:
  • Single Grain Agency — enterprise digital marketing services across SEO, paid media, creative, CRO, and AI-driven growth strategy.

  • Click Flow — our AI-powered content optimization platform that helps companies unlock hidden growth from their existing content by identifying high-impact SEO opportunities and improving rankings with AI insights.

  • Karrot — a Linked In advertising and landing page platform built specifically for B2B companies running demand generation programs.

  • Single Brain — the complete client operating layer: one agent interface for the human, one agent fleet commander for execution, an agent fleet of worker operators, and vertical specialists that handle the actual work.

We are evolving into a tech-enabled services (TES) company, where software, automation, and services combine to create leverage. Our CEO Eric Siu hosts the Leveling Up podcast and co-hosts Marketing School with Neil Patel, reaching millions of marketers and founders every month — a brand ecosystem most agencies don't have.

We are fully remote, and we operate as an AI-native team: every role at Single Grain is expected to use AI to increase speed, quality, and leverage.

ABOUT

THE ROLE

Single Grain is at an inflection point: product must now drive revenue growth.

We're hiring a Senior Full Stack Product Engineer who builds like a founder and thinks like a product owner. You'll identify the highest-leverage product opportunities, ship them end-to-end, measure their revenue impact, and iterate until the numbers move. You'll use AI to compound your output and reduce cycle times.

Primary KPI:
Increase Free Trial → Paid Conversion from 20% to 40%.

This is not a ticket-execution role. There are no PMs handing you specs. You own initiatives from idea → shipped → measured → optimized.

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 Dev Ops 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.

YOU MAY BE A GOOD FIT IF
  • 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.

  • You've built and shipped a product end-to-end that real users paid for or actively used. You can speak to what you personally built, the problems you hit, and how you iterated.

  • You think in funnels, not features. You frame engineering decisions in terms of conversion, retention, and expansion — not just technical correctness.

  • You're an AI Power User. You don't just use AI occasionally — you've built repeatable workflows with it, quantified the time it saves you, and actively look for more ways to apply it.

  • You're comfortable with ambiguity and full ownership. You don't need a PM to scope your work. You can look at data, form a hypothesis, build a test, ship it, and measure the result.

  • Bonus: experience in PLG (Product-Led Growth) environments, A/B testing frameworks, growth experiment design, or event…

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