Staff Software Engineer, Growth

Ovii's Interpretation of the Role

We are seeking a Staff Software Engineer to own and scale the member‑to‑member referral platform. The role combines full‑stack development, growth‑focused incentive design, and ML‑driven personalization while driving technical direction and measurable business impact.

Role Snapshot

• Staff‑level full‑stack engineer
• Growth‑focused incentive & referral systems
• ML personalization integration
• Technical leadership & architecture
• Hybrid (San Francisco) work model

Must-Have Requirements

• Full‑stack web development (React, React Native, TypeScript, Node.js)
• Designing incentive and referral systems
• Operationalizing ML model pipelines
• Technical leadership and architectural decision‑making
• full‑stack application development at scale
• growth incentive system design
• ML personalization pipelines
• Bachelor's degree in Computer Science, Engineering, or related technical field

Nice-to-Have Signals

• Experimentation platforms / A/B testing frameworks
• Experience in consumer growth‑focused companies
• Experience in healthcare or regulated‑data environments
• Depth with modern web/service tech (NestJS, GraphQL, Docker, Kubernetes, AWS, Redis)
• consumer growth company experience
• healthcare regulated‑data environment
• experiment/A‑B testing platform work

Work Setup

• Location: San Francisco, USA
• Work mode: HYBRID
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility

What You'll Likely Work On

• Define and execute the technical roadmap for the end‑to‑end referral platform.
• Scale incentive and referral infrastructure to support increasing member volume.
• Integrate ML model outputs (propensity scores, personalized offers) into referral experiences.
• Design, instrument, and analyze A/B experiments in partnership with data science.
• Collaborate with product, design, and analytics to prioritize features and long‑term platform leverage.
• Elevate engineering standards through code quality, system design, observability, and technical decision‑making.

Good Fit If You Have

• Enjoys high‑ownership, low‑bureaucracy environments.
• Thrives on measurable impact to user acquisition and cost‑per‑acquisition metrics.
• Excels at cross‑functional collaboration with data science, product, and marketing teams.