Product-Driven Full-Stack Engineer: AI & Ownership NYC

raydar; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Job summary

Raydar is seeking a Full-Stack Product Engineer in New York to ship features from interface work through to server logic, turning loosely defined goals into finished products. You will plan your own projects, talk with users, and refine the user experience while taking ownership of product outcomes.

You will drive part of the team's quarterly objectives, own product outcomes from start to finish, build AI-driven agent features, and use AI coding tools to speed up development.

Qualifications

• 2–10 years of software engineering experience.
• Strong hands-on experience in both user-interface code and backend services with meaningful feature delivery.
• History of owning product outcomes, from idea to launch or shaping features with customers.
• Good product sense and interest in studying other products, critiquing interfaces and choosing the right problems.
• Self-driven with a high-ownership mindset and ability to work at an intense in-person pace.

Responsibilities

• Drive part of the team's quarterly objectives and decide which work will reach them.
• Own product outcomes from start to finish, improving existing software and launching new products from scratch.
• Talk directly with users, ship quickly and refine features based on their feedback.
• Build AI-driven agent features that carry out tasks, including their logic, memory, feedback loops, tooling and UI.
• Take features from system design through to polished user-facing screens and the services behind them.
• Use AI coding tools to speed up your own work and raise product quality.

Job description

Raydar is seeking a Full-Stack Product Engineer in New York to ship features from interface work through to server logic, turning loosely defined goals into finished products. You will plan your own projects, talk with users, and refine the user experience while taking ownership of product outcomes.

You will drive part of the team's quarterly objectives, own product outcomes from start to finish, build AI-driven agent features, and use AI coding tools to speed up development.