Product Engineer (Full-Stack, Frontend-Leaning

Product Engineer (Full-Stack, Frontend-Leaning)

Location:

New York City (on-site in the office, relocation supported)

Compensation: USD $170,000 – $220,000 + Equity

Hiring:
Up to 2 engineers

Company:
Confidential (represented by Worthland)

About the Project

Our client is a fast-growing, AI-native startup rethinking how a traditionally manual, relationship-driven industry operates h strong product–market fit, rapid growth, and backing from top-tier investors, the team is building a durable marketplace where AI and product design are core to how the business runs.

The product is used daily by power users who rely on it as their primary workflow tool. Speed, clarity, and UX quality matter. This is not a side project or internal tool—it is the company's core product.

The Role

As a Product Engineer, you will own the primary user-facing product end-to-end. You will work directly with the founder to decide what to build and why, not just how to implement specs.

This is a true product engineering role: high ownership, frequent user feedback, fast iteration, and a strong frontend and UX focus, while still owning the full stack.

There is no separate product manager layer. You are expected to think in terms of users, workflows, and outcomes, not tickets.

What You'll Work On

Core Product (Primary Focus)

• Design and build end-to-end product flows for a complex, high-usage dashboard
• Talk directly with users to understand real workflows, pain points, and edge cases
• Redesign and iterate on core flows to reduce friction and improve speed and clarity
• Own the overall product experience, from UX details to performance and reliability

Product Iteration & Expansion

• Improve discovery, filtering, and organization of complex information
• Build intuitive views that surface what matters without overwhelming users
• Take on greenfield work as new product surfaces, user types, and verticals are introduced

Intelligence & AI-Powered Features

• Collaborate closely with an Applied AI Engineer to integrate AI-powered features into the product
• Build UI and product experiences around AI outputs (summaries, scoring, recommendations)
• Focus on making AI understandable, trustworthy, and useful for real users

Growth & Product Quality

• Contribute to growth-oriented features across activation, engagement, retention, and monetization
• Ship polished, high-quality features with strong attention to interaction details
• Balance speed of shipping with long-term product quality and maintainability

What Success Looks Like

• Users feel the product is faster, clearer, and easier to use because of what you ship
• Core workflows become simpler and more efficient
• Product decisions are driven by real user behavior, not assumptions
• You are trusted as a product and engineering owner, not just an executor

Requirements

Must-Have

• 4+ years of experience building full-stack products end-to-end
• Strong frontend and product sensibility, with solid backend fundamentals
• Proven experience owning a product surface or workflow, not just isolated features
• Comfort working in fast-moving, low-process environments
• Strong communication and willingness to engage directly with users

Strong Plus

• Experience at an early-stage or high-growth product company
• Background building tools for power users (dashboards, CRMs, internal tools)
• Experience collaborating closely with founders
• Interest in AI-powered products, even if not an AI specialist

Not a Fit If You Prefer

• Highly scoped tickets with detailed specs
• Minimal user interaction
• Narrow frontend-only or backend-only ownership
• Large, highly structured organizations with slow iteration cycles

Why This Role

• High ownership over a core product used daily
• Direct access to the founder and real decision-making influence
• Opportunity to shape product direction, not just implement it
• Competitive compensation, meaningful equity, and long-term upside

Interview Process

• Intro Call (30 minutes): High-level screening to assess product mindset, ownership, and mutual interest in the company, role, and stage.
• Technical Interview (60 minutes): Open-ended product challenge focused on problem framing, solution design, and tradeoff thinking rather than algorithm trivia.
• Behavioral Deep Dive (60 minutes): Discussion…