Jobs · Engineering

Product Engineer

Counterpart · United States · 2 wk ago
RemoteRemoteEngineering$110k/yrFull-time

About the role

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself.

Responsibilities

YOU WILL

  • Own the Problem
  • Build with AI
  • Verify and Iterate
  • Raise the Bar

Requirements

  • 3+ years building production web applications across the full stack
  • Demonstrated end-to-end ownership
  • Proficiency in developing with AI tools
  • Demonstrated experience gathering requirements directly
  • Demonstrated experience owning both functional and non-functional requirements
  • A track record of owning a domain or initiative without close supervision
  • Extreme ownership and a bias for action
  • Domain curiosity
  • The ability to communicate clearly across engineering, product, and business
  • Low ego and high Emotional Quotient (EQ)
  • Experience working with distributed, remote teams

Qualifications

  • Experience working with distributed, remote teams

Skills

  • Full stack development skills (Python, Django, AWS, React, PostgreSQL)
  • Experience with AI tools (Claude Code, Cursor, OpenAI Codex, similar)
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a team

Benefits

  • Unlimited Vacation
  • Work from Anywhere
  • Stock Options
  • Health, Dental, and Vision Coverage
  • 401(k) Retirement Plan
  • Parental Leave
  • Home Office Allowance
  • Wellness Stipend
  • Book stipend
  • Professional Development Reimbursement
  • No working birthdays
  • Charitable Contribution Matching

Pay

Our estimated pay range for this role is $110,000+. Base salary is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

Schedule

Full-time

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