Y Combinator

Product Engineer, Internal Tools

Y Combinator
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10 months ago

Base Salary

$250k - $500k/yr

Responsibilities

  • Design and build new features end to end for internal tools, event software, and engagement products.
  • Work with YC Partners to build productivity software, including Gmail plugins and company dashboards.
  • Scope and prioritize the product roadmap by balancing effort and impact.
  • Analyze product usage and engagement to drive continuous improvement.
  • Communicate regularly with internal customers and ship quickly as part of a small full-stack product engineering team.

Requirements

  • Enjoy front-end software development, which is described as nearly essential for success in the role.
  • Be flexible to support changing organizational needs and potentially move between teams.
  • Be able to work in person five days a week at YC’s Dogpatch campus in San Francisco, or be willing to relocate to the SF Bay Area.
  • Be comfortable learning or working with Rails, React, and Postgres; the posting notes that recent engineers learned the stack on the job.

Benefits

  • $250K to $500K base salary depending on experience, plus a profit-sharing program comparable to startup equity or VC carry.
  • Medical, vision, dental, infertility, short-term and long-term disability, and life insurance benefits.
  • Commuter benefits, flexible spending account, health savings account, and 401(k) with 4% matching.
  • Generous parental leave, paid holidays, and flexible paid time off.
  • In-person work five days a week at YC’s Dogpatch campus in San Francisco, with generous relocation support available.

Tech Stack

PostgreSQLReactRuby on Rails

Categories

Full StackProduct Engineering
Y Combinator

About Y Combinator

Y Combinator is a startup accelerator and seed investor that funds and advises early-stage companies in exchange for equity, running biannual batches and Demo Days. Founded in 2005 and based in Mountain View, California, it has backed firms such as Airbnb, Stripe, and Dropbox. YC also builds developer-facing products for the AI-native era, including open-source tools like gstack and gbrain and proprietary offerings such as Paxel.

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