Product Engineer

Recruiting From Scratch•San Francisco, NY

9d•Hybrid

About The Position

The Product Engineer will build and ship product features across frontend and backend systems for a technology-driven financial services company. The company is developing an AI-native platform that automates complex business workflows, combining software agents with oversight from experienced professionals. Following a $45 million Series B, the company is expanding its engineering team and platform capabilities. The role works closely with engineers, product leaders, business stakeholders, and users to understand operational challenges and turn them into practical software. It includes developing production AI features and agentic workflows, automating business operations, integrating third-party services, and contributing to product direction. The engineer will own features from implementation through deployment and delivery, help maintain production quality, and make thoughtful decisions about code, permissions, data models, and architecture. The position is full-time and hybrid, with three days per week in the Flatiron District office in New York City. Compensation is $165,000–$205,000 in base salary plus 0.025%–0.1% equity subject to a four-year vesting schedule and one-year cliff. There is no bonus component. Medical, dental, and vision coverage and unlimited PTO are offered. Visa sponsorship is not available; candidates must already be authorized to work in the United States without sponsorship.

Requirements

3–6 years of full-time, post-graduation professional experience as a software engineer or product engineer; internships do not count.
Bachelor's degree in Computer Science or a closely related technical field from a strong academic program.
Experience at a company known for a high engineering bar, such as Google, Ramp, Bloomberg, Citadel, Coinbase, or a comparable engineering-driven organization.
Strong full-stack product engineering experience across frontend and backend systems.
Experience building and shipping production AI-powered features using LLMs or agentic workflows.
Experience working directly with business users, customers, or cross-functional stakeholders to understand workflows and build practical solutions.
Strong proficiency in TypeScript and experience with React and backend technologies such as Node.js or Python.
Demonstrated ability to own features from implementation through deployment and delivery.
Strong product instincts and preference for building and shipping features users actively rely on.
Consistent professional track record with reasonable tenure at previous employers.
Ability to work from the Flatiron District office in New York City three days per week.
Must already be authorized to work in the United States without visa sponsorship.

Nice To Haves

Experience at high-engineering-bar companies such as Google, Ramp, Bloomberg, Citadel, Coinbase, or similar organizations.
Experience building production AI-powered product features using LLMs or agents.
Experience with event-driven systems or event-sourced architectures.
Experience with document processing, email ingestion, PDF generation, or workflow automation.
Experience integrating third-party APIs and business software.
Experience with GraphQL, Kafka, PostgreSQL, GCP, or GKE.
Experience with authentication, permissions, and access-control systems.
Experience working in small, high-performing engineering teams.
Experience collaborating directly with non-technical stakeholders and translating their needs into software.
Experience using AI coding tools effectively while maintaining strong engineering judgment.

Responsibilities

Build and ship product features end to end across backend services, data models, and user-facing React and TypeScript interfaces.
Develop production features using LLMs and agentic workflows.
Work directly with business users to understand operations, identify manual processes, and turn workflows into software.
Build tools for email ingestion, document processing, PDF generation, invoicing, approvals, and other operational workflows.
Connect internal workflows with third-party platforms and APIs, including tools such as Harvest and DocuSign.
Collaborate with product managers and business stakeholders to prioritize features, plan roadmaps, and identify automation opportunities.
Contribute to React and TypeScript frontends and Node.js and Python backend services.
Use AI coding tools in daily development while applying sound judgment about when to use them and when to implement critical logic directly.
Write clean, maintainable code and make thoughtful decisions about permissions, data models, and application architecture.
Identify and resolve production issues, improve existing functionality, and ensure software works reliably for users.