Product Engineer (On-site in NYC)

PulseRise Technologies•New York, NY

3d•Onsite

About The Position

We are hiring a Product Engineer to own and evolve our core user-facing product: the recruiter dashboard. This is a true product-first engineering role — you won’t just implement specs, you will help define what should be built. You’ll work directly with the founder, speak regularly with recruiters, and translate real-world workflows into elegant, high-leverage product experiences. The role is heavily full-stack with a strong frontend and UX orientation, especially in the early phase. This is an opportunity to join an AI-native marketplace at an inflection point and build systems that thousands of recruiters rely on daily. Details Location: New York (On-site required; relocation support available) Work Model: On-site Employment Type: Full-time Industry: Software / Marketplace / HR Tech Start Date: ASAP Role Focus Split ~70% Core Recruiter Product (Dashboard, UX flows, iteration) ~20% Internal Tools / Ops-enabling features ~10% Growth Engineering (activation, retention, billing, incentives)

Requirements

4+ years of full-stack product engineering experience
Proven ability to own systems end-to-end (frontend to backend)
Strong product intuition and customer empathy
Excellent programming fundamentals across modern web stacks
Experience in fast-moving, product-driven environments
High ownership mindset and comfort operating without heavy process

Nice To Haves

Early-stage or founding team experience
HR tech, recruiting, CRM, or power-user tool experience
Experience integrating AI features into user-facing products
Growth engineering exposure

Responsibilities

Design and ship end-to-end product flows from concept to production
Conduct direct user conversations with recruiters to understand workflows and friction
Redesign submission flows with automation (LinkedIn/GitHub ingestion, AI transcript pre-fill, integrations)
Improve role discovery (smart filtering, role bundling, digests, Q&A)
Rebuild pipeline tracking (Kanban views, stale indicators, workflow visibility)
Build calibration tools allowing recruiters to preview AI scoring
Implement role fit scoring and recommendation features
Collaborate closely with Applied AI Engineers to integrate AI summaries, Q&A, and recommendations into intuitive interfaces
Improve signup, activation, engagement, retention, and billing flows
Ship gamification and incentive features (progress bars, dashboards, badges)
Obsess over UI polish, performance, and interaction details
Balance speed of iteration with long-term product quality