Senior Software Engineer, Enterprise AI

About the Role As a Software Engineer on the Handshake AI Enterprise team, you'll own the product experience layer of AI applications we deploy directly into enterprise customer environments. You'll work closely with customers to deeply understand their workflows, translate ambiguous needs into crisp product decisions, and build end-to-end solutions that are genuinely delightful to use, not just functional.

This is not a role for engineers who treat product quality as an afterthought. We believe engineering craft is a meaningful part of what makes AI applications succeed in enterprise environments, and you'll be the person who holds that bar across every deployment.

We're looking for engineers across a range of experience — people who've already built high-craft product experiences, and those ready to set the bar for a team from the ground up. This is a unique opportunity to pair direct customer impact with founding-team ownership, helping define what high-craft enterprise AI product looks like from the ground up.

Location: San Francisco, CA | 5 days/week in-office

What You'll Do

Own the product experience of AI applications deployed into enterprise customer environments, from initial discovery through iteration

Work directly with customers to understand their workflows, pain points, and what "great" looks like in their context

Translate ambiguous customer needs into clear, well-crafted product and technical decisions

Build high-quality, full-stack features, from data models and APIs to the interfaces people actually use

Collaborate closely with Applied AI and Platform engineers on your deployment team to ship cohesive, production-grade solutions

Iterate rapidly based on real usage and customer feedback, with tight feedback loops

Establish product engineering standards and reusable patterns that help the team scale quality as we grow

Surface insights from customer deployments that inform Handshake's core product direction

What We're Looking For

5-6+ years of engineering experience, full-stack with strong backend depth

Product engineering experience with strong fullstack instincts and a high bar for product quality

Experience at a company where craft was a genuine priority, you've helped hold that bar, not just ship features

Proficiency across the stack: comfortable with modern backend frameworks, APIs, and data modeling, as well as React/TypeScript on the frontend

Strong opinions about product experience, you notice when things feel off and you fix them, regardless of which layer the problem lives in

Ability to make pragmatic technical decisions that serve the product, not just the architecture

Comfort working in ambiguous, fast-moving environments with real customers and real stakes

Strong communication skills, you'll be in customer conversations regularly and need to translate between business needs and technical decisions

Extra Credit

Experience building or integrating AI-powered features in production, customer-facing products

Background working in or alongside enterprise deployment environments

History of close collaboration with designers, or a background in design yourself

Experience at a company with a forward-deployed or embedded engineering model