Senior Product Builder

EarnIn•Mountain View, CA
•$229,661 - $280,697•Hybrid

About The Position

As a Senior Product Builder at EarnIn, you will help advance the company’s mission by building AI-native products that run in production and support people who rely on EarnIn to access their pay. You will bring a strong technical foundation to product work, set product strategy, uncover insights, and drive execution on zero-to-one initiatives. You will partner with engineers, designers, and domain leads, and develop the depth to lead new product bets. This hybrid position is based at EarnIn’s Mountain View headquarters and requires in-office work two days a week. The Mountain View base salary range for this full-time position is $229,661 to $280,697, plus equity and benefits.

Requirements

  • At least 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 with rapid experimentation and the ability to build alignment across teams and functions.
  • Creative problem-solving skills for complex challenges.

Nice To Haves

  • Experience in fintech or regulated, security-sensitive environments, including knowledge of regulatory requirements and best practices.
  • Hands-on work with AI governance, including bias evaluation, audit logging, and model cards.
  • Exposure to multi-step reasoning pipelines or human-in-the-loop system design.

Responsibilities

  • Define technical product strategy, including what to build and why, and work with engineers on architecture, tradeoffs, and AI-enabled product capabilities.
  • Rethink the product development lifecycle from scoping and design through review, testing, deployment, and monitoring; replace manual friction with agentic workflows where appropriate.
  • Build evaluation pipelines, automated pull-request hygiene, deployment gating, and generation-to-merge metrics to support governed AI development.
  • Partner with engineering to establish benchmarks and quality gates for AI-powered products and make results visible and trustworthy across teams.
  • Turn successful engineering experiments into production-ready, reusable solutions, including libraries, templates, and reference implementations.
  • Learn EarnIn’s operating practices, including how to partner with legal and compliance, and lead new product initiatives from idea to launch.
  • Stay close to the community, use user research and data analytics to identify and prioritize product opportunities, and run features and experiments to refine products.
  • Lead a cross-functional team of engineers, designers, researchers, and analysts; define ambitious OKRs and stretch goals, and monitor product success metrics.
  • Communicate product vision, roadmap, and outcomes to internal stakeholders, including the executive team, and build consensus.

Benefits

  • Equity
  • Benefits
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