Senior Software Engineer, Data Platform

What you'll do

• Own the design and evolution of the core data model — domain entities, actions, and the audit trail that governs every automated decision
• Build the data layer that AI agents read from and write to: expressive enough that models can reason over operational context, governed enough for healthcare compliance
• Define how domain knowledge is structured, versioned, and queried — laying the groundwork for increasingly rich context, serving as the platform matures
• Establish data contracts and APIs that give feature teams clean, stable interfaces to build against
• Drive platform reliability as we double our customer base and traffic without degrading performance
• Set technical direction for the data platform in partnership with the product, and feature team leads

What success looks like

• A well-governed, scalable data platform that becomes a lasting competitive advantage
• Clear data contracts and boundaries that let feature teams ship rapidly and safely
• Platform stability and performance as the customer base and traffic double
• A defensible data foundation that compounds in value as AI capabilities evolve

What we're looking for

Must have

• 5+ years of professional software engineering experience building backend or data infrastructure in production
• Deep expertise in relational databases: schema design, query performance, data modeling tradeoffs
• Track record designing and evolving data models in complex, growing systems
• Experience operating production systems at scale, including incident response and reliability work
• Hands-on coding ability in backend systems (Python-heavy environment, but language agnostic)
• Strong reliability instincts: observability, testing, data integrity
• Ability to make good decisions with incomplete information — e.g., designing data models when the domain is still being codified, and product requirements are evolving alongside AI capabilities

Nice to have

• Experience in healthcare, fintech, or other compliance-heavy infrastructure environments
• Background at high-throughput infrastructure companies (Stripe, Brex, Notion, or similar)
• Practical understanding of applied AI systems — how models consume structured data, not pure ML research
• Comfort in customer-facing technical discussions

Plenful perks

• Comprehensive Benefits Package: Enjoy unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options
• Mission-Driven, World-Class Team: Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact
• Opportunities for Growth: Strengthen your partnership expertise through collaboration with experienced, high-performing leaders across the organization
• Flexible Hybrid Work Environment: This position is would be based out of our downtown San Francisco office 2 days a week.