Senior / Staff Product Engineer

Location - New York, NY / San Francisco, CA - (On-site, 5 Days Per Week)

Compensation - $200,000 – $300,000 Base + Competitive Equity - (Up to $325,000 for Exceptional Candidates)

Visa - No New H-1B Sponsorship (TN and Other Eligible Visa Types Supported)

Company Stage - Series A ($20M Raised)

Industry - AI Infrastructure, Developer Tools, DevOps Automation, Artificial Intelligence, AI Agents, Cloud Infrastructure, Enterprise Software

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About the Company

The company is building the future of infrastructure management through AI-powered agents that investigate, resolve, and prevent production issues before they impact engineering teams.

Its platform automates infrastructure operations by combining intelligent AI agents with modern developer workflows, allowing engineers to spend less time firefighting production incidents and more time building products. Rather than replacing engineers, the platform augments engineering teams by automatically identifying root causes, resolving operational issues, and continuously improving infrastructure reliability.

Backed by $20M in funding, the company has rapidly grown to more than $3M ARR while maintaining exceptional month-over-month growth. With a lean team of approximately twenty employees, every engineer has significant influence over both the product roadmap and company direction.

As a Senior / Staff Product Engineer, you'll own customer-facing product experiences end-to-end while helping define how AI agents transform infrastructure management. You'll work directly with customers, founders, and engineers to build features that deliver immediate value while shaping the future of AI-native developer tools.

This is a rare opportunity to join an elite engineering team where Product Engineers own the full product lifecycle—from customer discovery and backend architecture to polished frontend experiences and AI-powered workflows—at one of the fastest-growing AI infrastructure startups.

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What You'll Do

• Own and ship customer-facing features end-to-end across the full technology stack
• Design and build AI-powered product experiences using modern agentic workflows
• Develop backend services using TypeScript, NestJS, and PostgreSQL
• Build polished frontend experiences using React and TypeScript
• Partner directly with customers to understand pain points and translate feedback into product improvements
• Independently identify opportunities to improve product usability, reliability, and customer experience
• Design scalable backend architectures supporting AI-powered infrastructure automation
• Collaborate closely with Design to build intuitive user experiences with exceptional frontend quality
• Build AI-native workflows that investigate, resolve, and prevent production issues
• Work closely with founders to influence product roadmap and long-term product direction
• Continuously improve engineering quality, product performance, and development velocity
• Help shape the product culture through rapid iteration, customer obsession, and exceptional execution

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Ideal Candidate Background

Experience Requirements

• 5+ years of full-stack software engineering experience
• Experience building customer-facing SaaS products from concept through production
• Experience working at early-stage VC-backed startups
• Experience owning products end-to-end with significant engineering autonomy
• Demonstrated success shipping impactful product features rapidly
• Experience collaborating directly with customers to influence product direction
• Strong startup ownership mentality with exceptional execution
• Experience working on small, high-performing engineering teams
• Strong product intuition with customer-first thinking
• Former founding engineer or startup experience preferred

Technical Requirements

• Strong proficiency with TypeScript
• Deep experience building production applications using React
• Strong backend engineering experience with NestJS or similar backend frameworks
• Experience designing scalable PostgreSQL data models
• Experience building full-stack production software end-to-end
• Strong frontend engineering with attention to usability and interaction design
• Experience building modern APIs and backend services
• Strong software engineering fundamentals across scalability, maintainability, and performance
• Experience building AI-powered products or AI-native developer tooling preferred
• Experience working across both frontend and backend systems without specialization in only one area

Education

• Bachelor's degree in Computer Science or another technical discipline preferred
• Strong software engineering background with demonstrated technical excellence
• Exceptional candidates with outstanding startup engineering experience considered

Soft Skills

• Strong product intuition
• Customer-obsessed mindset
• High ownership mentality
• Excellent communication skills
• Comfortable operating with ambiguity
• Bias toward rapid execution
• Exceptional problem-solving ability
• Strong cross-functional collaboration
• Founder mentality
• Passion for building AI-native developer products

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Compensation & Benefits

• Base Salary: $200,000 – $300,000
• Competitive Equity Package
• Comprehensive Healthcare
• 401(k)
• Unlimited PTO
• Fitness Stipend
• Citi Bike Membership
• Quarterly Team Offsites
• Paid House Cleaning
• Dinner Provided on Late Nights
• Beautiful Office in Chelsea, NYC
• Opportunity to build foundational AI infrastructure products
• High-impact engineering culture with exceptional career growth
• Significant ownership over product direction and customer experience

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Why Join

This is an opportunity to build one of the most exciting AI-native developer platforms redefining infrastructure management.

You'll work at the intersection of AI agents, full-stack product engineering, developer tools, and cloud infrastructure while building products that help engineering teams automate operational work and move faster.

As a Senior / Staff Product Engineer, you'll own meaningful customer-facing experiences, collaborate directly with founders and customers, and help define how AI agents reshape the future of infrastructure software.