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Salary: USD 229,661 - 280,697 / annual
EarnIn is a fintech pioneer in earned wage access, enabling paycheck-to-paycheck workers to access their earnings in real-time without mandatory fees, interest rates, or credit checks. The company is backed by top-tier VCs including A16Z, Matrix Partners, DST, and Ribbit Capital, and is experiencing rapid growth.
As a Senior Product Builder, you will own technical product strategy and drive AI-native product development across the organization. Your responsibilities include:
• Define and own technical product strategy in partnership with engineering, making architectural decisions and enabling AI-powered product capabilities
• Rethink the product development lifecycle by replacing manual friction with agentic workflows—building evaluation pipelines, automated PR hygiene, deployment gating, and generation-to-merge metrics that make governed AI fast
• Define quality standards for AI-powered products, working with engineering to set benchmarks and quality gates that determine readiness to ship, with results visible across teams
• Graduate pilots to production by converting engineering experiments into reusable libraries, templates, and reference implementations that other teams can fork and ship quickly
• Lead zero-to-one product initiatives from idea to launch, including learning EarnIn's regulatory and compliance landscape, using user research and data analytics to identify opportunities, and running experiments to refine products
• Lead cross-functional teams of engineers, designers, researchers, and analysts; define ambitious OKRs and monitor success metrics
• Communicate product vision, roadmap, and outcomes to executive leadership and build consensus for new initiatives
This is a hybrid role based in Mountain View HQ requiring 2 days per week in-office.
REQUIREMENTS:
• 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 related field (or equivalent industry experience)
• Hands-on experience with AI-native product development lifecycles
• Proficiency working across the full 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 stakeholders
• Comfort with rapid experimentation and ability to build alignment across teams and functions
• Creative problem-solving for complex challenges
STAND-OUT QUALIFICATIONS:
• Experience in fintech or regulated, security-sensitive environments with knowledge of regulatory requirements
• 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
