Product Engineer / Scientific AI

SeedScaler; New York, Northern (NY, KY); Hybrid; USD 180,000 - 220,000; Full time

Job summary

SeedScaler is seeking a Product Engineer to join as the first product engineering hire. You will own core product surfaces that empower researchers to move from exploration to experimentation, with broad ownership across product, UX, and engineering.

You will work on building core interfaces and systems that unify a researcher’s workflow, integrating with computational environments and external databanks. This role emphasizes AI tooling and end-to-end ownership.

Qualifications

• Strong product engineering instincts translating ambiguous user needs into high-leverage product decisions.
• Full-stack capability across frontend, backend, and data integrations.
• Experience designing and shipping user-facing interfaces.
• Ability to collaborate closely with researchers or other technical users.
• High ownership and a track record of shipping.
• Experience with AI-assisted products or new interaction models.

Responsibilities

• Design and build core product surfaces that unify a researcher’s workflow into a single interface.
• Integrate with research stack components such as computational environments and data sources.
• Partner with an AI-focused founding engineer to build infrastructure for long-running agents.
• Build interaction systems that capture and persist user context over time.
• Work directly with users to understand workflows and iterate quickly.
• Contribute across the stack to prototype, refine, and ship features in a full-stack environment.
• Utilize modern web tooling and AI-driven infrastructure.

Skills

Product engineering

Full-stack

User interfaces

Research collaboration

Job description

Compensation: $180,000-$220,000 base salary + benefits (depending on experience)

We’re looking for a Product Engineer to join an early-stage, mission-driven team building software for researchers. This is the company’s first product engineering hire, with broad ownership across product, UX, and engineering.

You will build the core interfaces and systems that help researchers move from reading and exploration to experimentation and insight, faster.

Why consider this role

You want to work on tools that directly support scientific discovery.

You enjoy early-stage environments where you can shape both the product and the engineering foundation.

You like owning features end-to-end, from user research through shipping.

You are excited by modern AI tooling and new interaction patterns.

What you will do

Design and build core product surfaces that unify a researcher’s workflow into a single interface.

Integrate with key parts of the research stack, including computational environments, paper discovery services, and external scientific databanks.

Partner closely with an AI-focused founding engineer to build infrastructure for long-running agents that can reason, plan, and adapt over time.

Build interaction systems that capture and persist user context over time, enabling better personalization and continuity across sessions.

Work directly with users to understand workflows, identify opportunities, and iterate quickly.

Contribute across the stack to prototype, refine, and ship features, while helping establish strong engineering fundamentals.

Full-stack product engineering environment (details shared during the process)

Modern web application tooling

AI and agent-oriented infrastructure

What we are looking for

Strong product engineering instincts: you can translate ambiguous user needs into simple, high-leverage product decisions.

Full-stack capability and comfort moving across frontend, backend, and data integrations.

Experience designing and shipping user-facing interfaces.

Ability to collaborate closely with researchers or other deeply technical users.

High ownership and a track record of shipping.

Research experience (academic or industry) or a strong personal interest in science.

Experience with AI-assisted products, developer tools, or new interaction models.

Comfort operating in fast-moving, early-stage teams.