Product Engineer (On-site in NYC)

PulseRise Technologies

$100K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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

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 and integrations
  • Improve role discovery through smart filtering and Q&A
  • Build calibration tools for AI scoring previews
  • Integrate AI features into intuitive interfaces
  • Enhance user engagement and retention flows with gamification and incentives
  • Prioritize UI polish, performance, and interaction details

Benefits

  • Relocation support available for candidates moving to New York
  • Opportunity to work on an AI-native product at a pivotal moment
  • Direct engagement with company leadership and recruiters
  • Involvement in a product-first engineering environment
  • Focus on both product development and user experience enhancements
Full Job Description
Dear applicants, please keep in mind that applications without provided salary expectations and active LN profile will not be considered. Hope for your understanding.

NEW YORK ONSITE ROLE

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)

Key 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

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 Have

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

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