Staff Product Engineer

People In AI; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Meaningful equity

Job summary

People In AI is hiring a Staff Product Engineer in New York City to own high-impact, customer-facing product initiatives from PRD through production. You will work across the stack, ship features, and drive architectural decisions, collaborating with users and product/design teams to deliver scalable AI-driven experiences.

This role requires deep frontend expertise, strong full-stack capabilities, and the ability to operate in a fast-growing startup environment, shipping production-ready

Qualifications

• Senior/Staff level software engineer with deep full-stack capabilities.
• Strong frontend architecture and React expertise.
• Experience designing APIs, backend services, and data models.

Responsibilities

• Own customer-facing features from PRD through architecture, implementation, launch, and iteration.
• Build AI-agent-powered product experiences across frontend, API, and backend systems.
• Design scalable APIs, data models, and intuitive user interfaces.
• Work directly with customers to understand workflows, gather feedback, and rapidly improve the product.
• Lead technically ambiguous projects and make pragmatic architectural decisions.
• Partner with product and design to translate complex infra problems into polished UX.

Skills

Senior/Staff engineer

Full-stack

Frontend architecture

React

API design

Data modeling

Customer interaction

Product ownership

AI tools

Communication

Tools

Claude Code

Cursor

Job description

Compensation: $250,000–$300,000 base + meaningful equity

Location: New York City

A fast-growing Series A AI company building intelligent infrastructure software that helps engineering teams investigate, resolve, and prevent production issues.

This team is building an AI-native platform designed to give engineers their time back. Rather than forcing teams to jump between cloud consoles, observability tools, codebases, and operational workflows when something breaks, the product brings those signals together through an intelligent agent capable of investigating complex systems, surfacing answers, and automating resolution.

The business already has meaningful commercial traction, generating approximately $3M ARR from its existing infrastructure product while expanding into a much broader AI-native platform. With established customers and enterprise pilots underway, the team is now scaling product engineering to support the next phase of growth.

The Role

We’re hiring a Staff Product Engineer to own high-impact, customer-facing product initiatives from initial PRD through production.

This is a highly product-oriented engineering role for someone who enjoys operating across the stack, making decisions in ambiguous environments, and working directly with users. You’ll build agent-powered experiences spanning frontend interfaces, APIs, data models, and backend systems, while helping shape both the product and the technical direction of the engineering organization.

You won’t be handed tightly scoped tickets. You’ll be expected to understand the customer problem, determine the right technical approach, ship quickly, gather feedback, and iterate.

Within your first 30 days, you’ll be expected to ship a production feature and take ownership of a customer-facing initiative. By 60 days, you’ll be leading features end-to-end and driving releases from early alpha through GA.

What You’ll Do

• Own customer-facing features from PRD through architecture, implementation, launch, and iteration.
• Build AI-agent-powered product experiences across frontend, API, and backend systems.
• Design scalable APIs, data models, and intuitive user interfaces.
• Work directly with customers to understand workflows, gather feedback, and rapidly improve the product.
• Lead technically ambiguous projects and make pragmatic architectural decisions.
• Partner closely with product and design to translate complex infrastructure problems into polished user experiences.
• Drive features from prototype and alpha stages through production and general availability.
• Raise the engineering bar through strong technical judgment, ownership, and execution.
• Ship production-ready software at the pace expected of a high-growth startup.

What You’ll Bring

• Professional software engineering experience, with the technical depth expected of a senior or staff-level engineer.
• Strong full-stack engineering capabilities with particular strength in frontend architecture.
• Deep experience with React and modern web application development.
• Experience designing APIs, backend services, and data models.
• A track record of owning products or substantial features from initial requirements through production.
• Experience working in fast-moving startup, 0→1, or similarly high-ownership environments.
• Strong product instincts and an ability to make good decisions when requirements are incomplete.
• Experience working directly with customers or incorporating customer feedback into product development.
• Excellent written and verbal communication skills.
• Daily, hands-on use of AI development tools such as Claude Code, Cursor, or similar.
• A bias toward shipping, learning, and iterating.

Nice to have:

• Experience building AI-native or agentic products.
• Background in developer tools, cloud infrastructure, observability, or production systems.
• Previous experience as a founding engineer, tech lead, or highly autonomous product engineer.
• React
• Modern frontend architecture
• APIs and backend services
• Data modeling and production application infrastructure
• Agentic AI / LLM-powered product workflows
• AI-assisted development tools including Claude Code, Cursor, and similar

Why Join?

This is an opportunity to join a well-funded, commercially proven startup at the point where its product is expanding into a significantly larger market.

You’ll work on challenging problems at the intersection of AI agents, developer tools, cloud infrastructure, and observability, with unusually direct ownership over what gets built and how customers experience it.

If you want to build sophisticated AI products that interact with real-world production systems and see your work reach customers quickly this is a chance to have substantial impact while the product and engineering organization are still being shaped.