Employer listing
Senior Software Engineer, Enterprise AI
Handshake
San Francisco, Ca · on site · full time · Senior
$220,000 - $300,000
About the Role
As a Senior Software Engineer on the Handshake AI Enterprise team, you'll own the product experience layer of AI applications deployed 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 delightful and functional.
This role pairs direct customer impact with founding-team ownership, helping define what high-craft enterprise AI products look like.
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 requirements.
- 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 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.
- 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 full-stack instincts and a high bar for product quality.
- Experience at a company where craft was a genuine priority.
- 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 and proactive attitude toward fixing issues across all layers.
- Ability to make pragmatic technical decisions that serve the product.
- Comfort working in ambiguous, fast-moving environments with real customers and real stakes.
- Strong communication skills to engage in customer conversations and translate business needs into 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.
Benefits
Comprehensive benefits include company equity, 401(k) match, medical/dental/vision coverage, paid parental leave, fertility benefits, $500 wellness stipend, $2,000 learning stipend, flexible PTO, 15 holidays + 2 flex days, and free lunch/gym in the SF office.