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Remote Product Optimization Jobs in California (NOW HIRING)

ClickFlow -- our AI-powered content optimization platform that helps companies unlock hidden growth ... We are fully remote, and we operate as an AI-native team: every role at Single Grain is expected to ...

$148K - $196K/yr

Collaborate with optimization engineers to implement techniques that maximize our speed advantage ... Remote possible for candidates willing to travel 1-2x per quarter. Why Join Cerebras People who are ...

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Remote Product Optimization information

What is a remote product optimization specialist?

A Remote Product Optimization specialist is a professional who analyzes and improves products or services for a company while working from a remote location. Their main goal is to enhance product performance, usability, and customer satisfaction by using data analysis, user feedback, and market research. They collaborate with cross-functional teams such as product managers, designers, and engineers to implement changes that drive business growth. This role often requires strong analytical skills, communication abilities, and familiarity with digital tools for remote collaboration.

What are the key skills and qualifications needed to thrive as a remote product optimization specialist?

To thrive as a Remote Product Optimization Specialist, you need strong analytical skills, experience in data-driven decision-making, and a background in marketing, business, or a related field. Familiarity with A/B testing tools, web analytics platforms like Google Analytics, and conversion rate optimization (CRO) software is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and driving project outcomes. These skills ensure effective product improvements, data-informed strategies, and successful optimization in a remote work environment.

What are the typical collaboration methods for a remote product optimization professional working with cross-functional teams?

Remote Product Optimization professionals frequently collaborate with product managers, designers, engineers, and data analysts using virtual communication tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins, virtual brainstorming sessions, and asynchronous updates are common to ensure alignment and progress toward optimization goals. Building strong communication habits and clear documentation is crucial for remote roles, as it helps bridge the gap created by physical distance and ensures that all stakeholders remain informed and engaged throughout product improvement cycles.

What is the difference between Remote Product Optimization vs Remote Data Analyst?

AspectRemote Product OptimizationRemote Data Analyst
Primary FocusImproving product performance and user experienceAnalyzing data to support business decisions
Skills & CertificationsProduct management, UX, analytics toolsData analysis, SQL, statistical skills
Work EnvironmentCollaborates with product teams, designers, developersWorks with datasets, reporting tools, dashboards
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare sectors

Remote Product Optimization focuses on enhancing product features and user experience, while Remote Data Analysts interpret data to inform strategic decisions. Both roles require analytical skills but differ in their core objectives and daily tasks.

What are the most commonly searched types of Product Optimization jobs in California?

The most popular types of Product Optimization jobs in California are:

What are popular job titles related to Remote Product Optimization jobs in California?

For Remote Product Optimization jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Product Optimization jobs?

Cities in California with the most Remote Product Optimization job openings:

Infographic showing various Remote Product Optimization job openings in California as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Fullstack Product Engineer

Single Grain

Los Angeles, CA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

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.

  • ClickFlow — 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 LinkedIn 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 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.

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 instrumentation tools.

WHAT THIS ROLE IS NOT

  • Not a ticket-closer. If your best work environment is a well-groomed backlog with clear specs, this role will frustrate you.

  • Not a junior-to-senior stepping stone. We need someone who already operates at senior level and is ready to own revenue outcomes from Day 1.

  • Not a single-discipline specialist. Pure backend or pure frontend engineers who aren't comfortable spanning the full stack won't thrive here.

  • Not a casual AI user. "I use ChatGPT sometimes" is not sufficient. This role requires AI-native workflows, not occasional experimentation.

To Apply - follow this link and complete the engineer-004 beat claude challenge and upload your results with your application.

BENEFITS

  • Medical, dental, and vision insurance on the 1st of the month after you join

  • 401(k) with 100% match up to 3% of your salary

  • $50K life insurance policy, paid 100% by the company

  • 12 weeks of paid family leave, effective after the first year of employment

  • Flexible Unlimited Paid Time Off

  • $100 utilities stipend, paid out as an extra $50 per paycheck

  • $60 UberEats credit each month

  • A MacBook

  • $500 WFH office reimbursement

  • Fully remote — work from anywhere