Senior Staff Software Engineer, Internal Tools

• Set technical strategy by defining the architecture and technical roadmap e across the stack — applications, AI agents and workflows, integrations, and knowledge infrastructure
• Architect and maintain reliable, scalable production applications with a focus on infrastructure automation and governance
• Design and build the AI layer — custom agents, workflows, and the knowledge and retrieval substrate that lets them reason over connected enterprise data
• Tech-lead a small team: set the design and code review bar, partner with engineers on what good looks like, mentor contingent engineering support
• Partner with senior business stakeholders across the org and with embedded engineers in Investments, Biohub, and Learning Commons

• 12+ years building production software systems, with meaningful time as a Senior Staff or Principal IC tech-leading small teams
• Strong full-stack engineering fundamentals — comfortable shipping production applications, backend services, and the integration layer between them
• Experience operating cloud infrastructure for production systems using industry-standard best practices like Infrastructure as Code (IaC)
• Strong API integration experience at the enterprise SaaS layer — auth, rate limits, schema drift, failure modes
• Working fluency with MCP, LLM tool/function calling, current agent frameworks, and retrieval/knowledge infrastructure (knowledge graphs, vector stores, RAG)
• Comfort with ambiguity; ability to make progress when requirements are evolving
• Strong stakeholder fluency; you can hold technical conversations with senior business partners without a translator
• Nice to have: Background in enterprise IT, business systems, or platform engineering; Experience operating in hub-and-spoke models with embedded engineering teams; Direct production experience building LLM-based applications, custom agents, or agentic workflows
• Background in enterprise IT, business systems, or platform engineering;
• Experience operating in hub-and-spoke models with embedded engineering teams;
• Direct production experience building LLM-based applications, custom agents, or agentic workflows

The Redwood City, CA base pay range for a new hire in this role is $241,000 – $331,100.

New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time.

Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program.

Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.

This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager.

The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

for the Whole You

We’re thankful to have an incredible team behind our work.

To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid