AI Product Engineer

About the Company

A Series B company transforming how go-to-market teams operate by turning customer interactions into structured data, insights, and intelligent action. Trusted by dozens of rapidly growing companies across the AI and enterprise software space. The belief here is that the best AI products feel deeply human-centered, rather than replacing sales reps with agents, they empower them to answer critical questions while automating manual busywork.

About the Role

This is framed as a software engineering role but is really a product engineer on an AI product: a strong, AI-native engineer who thinks from the customer's lens, moves fast, and ships features end to end, front to back. You'll collaborate constantly with forward-deployed engineers who carry client feedback, meshing customer demands into product and building it out, and you're expected to push back when something feels like the wrong solution to the right problem.

Once your AI-assisted engineering setup is dialed in, the day-to-day becomes product-level scoping, because you've already codified your system-design knowledge into workflows that handle verification and edge-case testing for you. The archetype here is a "cracked," AI-native engineer whose higher slope beats a more experienced engineer still working the old way.

What You'll Own

• End-to-end design and implementation: task breakdown, delivery, testing, monitoring, and maintenance
• Features front-to-back, shipping high-quality, simple designs others can build on
• Turning specs and raw client feedback into product, in close collaboration with product, design, and forward-deployed engineering
• Jumping onto customer-critical initiatives when the team needs more hands, while still owning your own projects
• Influencing platform direction with your own ideas, balancing immediate business needs against long-term architecture

What We're Looking For

• 2 or more years of industry experience as a software engineer, with a sweet spot around 4 years. Less is fine if the slope is high, a sharp 2-years-out engineer with a real AI-native workflow beats a more tenured engineer still working the old way
• A genuine, fluent AI-forward workflow: using LLMs and agents to move fast without sacrificing production-grade quality, with an actual system (parallel agents, one checking another's work, skills codified into your build process), not just familiarity with the tools
• Experience with distributed systems or infrastructure at scale, LLM harnesses or agentic systems, and concurrent or async processing
• Strong software-design fundamentals, with a real system-design interview as part of the process
• Comfort owning a feature end to end, front to back, with testing, monitoring, and reliability built into how you write code
• Bonus: hands-on experience with LLM evals, eval harnesses, RAG, or vector databases; prior startup or founder experience, even a failed one, if you can speak clearly to what you learned

Logistics

New York City, fully in-office, five days a week, with a genuinely intense pace (early mornings to nights). Compensation is $160K to $210K plus 0.05% to 0.2% equity. Visa sponsorship is available.