Product Engineer

Arxtalent

Arxtalent is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

New York, United States Full-time Posted 8mo ago

Apply directly →

The Company:

We are an AI-first recruiting marketplace that has scaled 10x in under a year with a lean, elite team. Backed by top-tier investors with a significant seed round, we are rethinking how talent acquisition works by building a durable, high-growth ecosystem. Our focus is on high-horsepower individuals who thrive in fast-paced environments and are excited by the challenge of scaling to massive market demand.

The Role:

As one of our first engineers, you will own the primary user-facing product—the recruiter dashboard—end-to-end. This is a pure product-focused role. You will spend your time understanding recruiter workflows, identifying pain points, and iterating on a CRM-style experience that helps users find roles, submit candidates, and track their pipeline.

Role Composition:

70% Core Product: Recruiter dashboard, user flows, and UX iteration.
20% Internal Tools: Developing features to enable operational efficiency.
10% Growth Engineering: Signups, activation, retention, and billing infrastructure.

Key Responsibilities:

Core Product & Recruiter Experience

End-to-End Ownership: Design and build product flows from first principles, taking features from concept to production.
User Research: Communicate directly with recruiters to translate their manual workflows into 10x more effective digital tools.
Friction Reduction: Redesign candidate submission flows to include automated data pulling (LinkedIn/GitHub) and integration with meeting notetakers.
Discovery & Visualization: Improve role discovery via video digests, role Q&A, and advanced filtering.
Pipeline Management: Build intuitive Kanban views and "stale" candidate indicators to help recruiters manage high-volume pipelines.

AI Integration & Interaction

Calibration Tools: Build UIs that allow recruiters to preview how AI will score submissions.
Intelligence Features: Implement "Role Fit" scores that match candidates to recruiter expertise.
Cross-Functional Collaboration: Partner with Applied AI Engineers to integrate complex ML outputs (summaries, recommendations) into simple, intuitive user interfaces.

Growth & Quality

Funnel Optimization: Drive initiatives for user activation, engagement, and billing.
Incentive Systems: Ship reputation features, including earnings dashboards, leaderboards, and milestone trackers.
Product Polish: Maintain obsessive attention to detail in design and interaction to ensure the product feels fast, easy, and delightful.

Requirements:

4+ years of Full-Stack experience, with a proven ability to own a codebase from top to bottom.
Product Mindset: A deep focus on customer needs and business impact, rather than just code execution.
Design Sensibility: Obsessive attention to detail regarding UI/UX and interaction design.
Technical Fluency: Strong programming fundamentals across modern web stacks.
Startup Experience: A background in fast-growing, product-driven companies where you thrived without a formal "playbook."

Preferred Attributes: