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Software Engineer

Gabriel Talent

NewOpen
New York, New York, United States On-site Engineering full-time Mid-level4+ yrs experience$150000 – 250000 per year Posted today

About the Company

A venture-backed AI startup that automates customer data migration. Using AI agents, it lets software vendors replace incumbent systems and onboard new customers in hours instead of weeks. The company is built around a mission of making data portable and putting customers in control of their own data.

About the Role

This is a product-minded, full-stack engineering seat for someone who wants to own problems from the first customer conversation through shipped product. Engineers here sit with customers, form a view on where the product should go, debate that view with the team, and then ship it. The company recently rebuilt its architecture to support much larger data-movement workloads, which opened a deep backlog of work across durability, security, workflow, and large-scale data problems. You will build on that new architecture, own the outcome, and use AI heavily and agentically while standing behind everything you ship.

What You'll Own

  • Features end to end across frontend, backend, infrastructure, performance, and security
  • Time with customers, identifying where the product needs to go and driving it back into the roadmap
  • Work on the new architecture for large-scale, reliable data movement
  • Everything you ship, using AI heavily and agentically while owning and standing behind the result

What We're Looking For

  • 4 to 5+ years of software engineering experience, with strong earlier-career candidates considered if they ramp exceptionally fast
  • Genuinely full-stack range: you can take a product slice from frontend through backend and infrastructure on your own
  • Proficiency with, or the ability to ramp fast on, React, Tailwind, and TypeScript on the frontend, Remix and TypeScript with Node.js on the backend, and AWS and Cloudflare
  • A track record of shipping production software end to end and owning the outcome
  • Real startup experience, including an early-stage seat where you owned something from start to finish. Backgrounds spent only at large companies are a weaker fit.
  • Product engineering experience beyond consulting work
  • High agency: you are willing to debate product direction and then own it, and you do not wait for fully specified work
  • A history of growing scope in past roles, not a pattern of short stints
  • A heavy, agentic AI workflow, with the discipline to own and verify everything you ship
  • Genuine interest in the company's mission around data portability and data sovereignty

Bonus

  • Experience with large-scale data movement, migration, or systems-of-record integrations

Logistics

New York City, in person five days a week. Compensation is $150K to $250K plus equity. Visa sponsorship is not available.

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