Bachelor's, Master's, or PhD in a relevant field or equivalent experience
Hands-on experience with AI-native product development lifecycles
Proficiency across the tech stack
Strong analytical skills for data-driven decisions
Deep empathy for user needs
Exceptional communication skills with executives
Comfort in rapid experimentation and cross-team alignment
Responsibilities
Own technical product strategy and collaborate with engineers
Rethink the product development lifecycle to enhance efficiency
Define quality benchmarks for AI-powered products
Graduate pilots to production with reusable resources
Lead new product initiatives from idea to launch
Work with cross-functional teams to set ambitious goals
Communicate product vision and outcomes to stakeholders
Benefits
Hybrid work model requiring in-office presence 2 days a week
Equity options
Comprehensive benefits package
Opportunity to work on impactful AI-native products
Collaborative and innovative work environment
Full Job Description
POSITION SUMMARY
As a Senior Product Builder at EarnIn, you'll help bring our mission to life. EarnIn is making AI-native work a core capability. It's how we design, build, and ship. The products you own will run in production, making real decisions for real people who depend on EarnIn to access their pay when it matters most. You'll bring a strong technical foundation to product work: setting product strategy, uncovering new insights, and driving execution on new, zero-to-one initiatives. You'll partner with engineers, designers, and domain leads, and build the depth to lead new product bets as they come up.
This is a hybrid position in our Mountain View HQ that requires in-office work 2 days a week. The Mountain View base salary range for this full-time position is $229,661 to $280,697, plus equity and benefits. Our salary ranges are determined by role, level, and location.
What You'll Do
Own technical product strategy. Define what we build and why, working directly with engineers on architecture, tradeoffs, and AI-enabled product capabilities.
Rethink the product development lifecycle. Challenge each stage, from scoping and design through review, testing, deployment, and monitoring, and replace manual friction with agentic workflows wherever it makes sense. Build evaluation pipelines, automated PR hygiene, deployment gating, and generation-to-merge metrics that make governed AI fast, not slow.
Define quality for AI-powered products. Work with engineering to set the benchmarks and quality gates that tell us whether our AI is working, degrading, or ready to ship, and make results visible and trustworthy across teams.
Graduate pilots to production. Take what's working in engineering experiments and turn it into something the next team can fork and ship in a week. Build reusable libraries, templates, and reference implementations so no one solves the same problem twice.
Build toward zero-to-one. Learn how EarnIn works, including how to partner with legal and compliance, so you can lead new product initiatives from idea to launch. Stay close to our community. Use user research and data analytics to identify and prioritize product opportunities, and run features and experiments to refine our products quickly.
Lead across functions. Work with a cross-functional team of engineers, designers, researchers, and analysts. Define ambitious OKRs and stretch goals, and monitor the metrics that show product success.
Communicate the vision. Articulate the product vision, roadmap, and outcomes to internal stakeholders, including the executive team, and build consensus to get new work done.
What We're Looking For
4+ years of relevant industry experience in product management or engineering.
Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Engineering, Information Systems, or a related field, or equivalent industry experience.
Hands-on experience with AI native product development lifecycles (PDLC).
Proficiency and comfort working across the stack when needed
Strong analytical skills, using data to inform product decisions and drive metrics improvement
Deep empathy for user needs
Exceptional communication skills with executive leadership and key stakeholders
Comfort in a culture of rapid experimentation, and the ability to build alignment across teams and functions
Creative problem solving for complex challenges
You'll Stand Out If You Have:
Experience in fintech or regulated, security-sensitive environments, including knowledge of regulatory requirements and best practices
Hands-on work with AI governance: bias evaluation, audit logging, model cards
Exposure to multi-step reasoning pipelines or human-in-the-loop system design
#LI-Hybrid
About Earnin
Earnin is a financial services company that provides a mobile app that allows users to access their earned wages before payday. The app uses a proprietary algorithm to determine how much money users can access based on their work history and other factors. Earnin was founded in 2013 and is headquartered in Palo Alto, California.
