Pear VC

Product Engineering Lead

Pear VC

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Job Level

About the role

  • Designing and building intuitive workflows for reviewing complex financial data and AI agent output
  • Designing and translating Figma designs into polished, production-ready applications
  • Building a new platform from the ground up, and designing end-to-end features that span frontend, backend, and infrastructure
  • Working directly with auditors (in house and customers) to understand their workflows and pain points
  • Improving reliability, performance, and observability across the product
  • Collaborating closely with AI and systems engineers to integrate agent capabilities into the UI
  • Building the product team from the ground up

Requirements

  • Strong fullstack engineering skills with ownership mindset
  • You can design and ship features end to end
  • You understand how UI, backend, and data systems interact
  • Deep empathy for users in complex domains
  • You can work with auditors to uncover root problems
  • You can translate ambiguous feedback into clear product decisions
  • Strong product and design sense
  • You know what makes an interface intuitive and trustworthy
  • You can turn wireframes into clean, usable experiences
  • Comfort operating in high-complexity systems
  • Experience with or adjacent to our stack: TypeScript, Python, Temporal, Docker, Terraform, AWS Fargate
Benefits
  • Own the core product experience from day one
  • Build software used by some of the largest companies in the world
  • Work closely with world-class auditors and engineers
  • High ownership and impact as an early team member
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
fullstack engineeringUI designbackend developmentdata systems interactionfeature design and shippingwireframe translationperformance improvementobservability enhancementAI integrationcomplex financial data analysis
Soft Skills
ownership mindsetempathy for usersproblem-solvingclear communicationproduct sensedesign sensecollaborationadaptabilityuser experience focusfeedback interpretation