Senior Staff Software Engineer, Internal Tools

The Operations team is a key partner in enabling Biohub’s pioneering work to combine frontier AI with frontier biology to solve disease and Learning Commons’ mission to build AI infrastructure that aligns how students learn with the tools that shape their learning experiences.

Operations includes our Central Tech, Finance, Marketing & Communications, People, and Real Estate / Workplace / Events / Facilities / Security (REWFS) teams. Together, these teams create the systems, programs, and experiences that empower our partners and colleagues across Biohub and Learning Commons to drive impact. 

This work requires strategic and operational rigor, creativity, and deep collaboration. Whether designing world-class employee experiences, safeguarding data and infrastructure, or shaping how we communicate our impact, Operations plays a critical role in helping deliver meaningful change at scale.

Our Central Tech team provides technology and security support for CZI and our grantees. We believe that Engineering, IT and Security are most effective when in sync and learning from each other on a daily basis.  Across our three pillars of Infrastructure, Security, and Grantee & Partner Support, we enable our teams to achieve their goals faster and more securely. We leverage technology to automate manual processes, constantly innovate to optimize operations, provide first-class support, and build solutions to enable the scale and execution of our business partners' strategies and initiatives.

This role is about building the internal tools and AI-powered workflows that make CZI's employees more effective at the work they do. As the Senior Staff Software Engineer for Internal Tools, you'll set technical direction for the platform — the applications, agents, integrations, and knowledge infrastructure that turn back-office work into something teams can do faster, better, and with more leverage. You'll lead the hardest builds hands-on and be the senior technical voice for this work across the function.

This is a high-autonomy, high-impact tech lead IC role. The team is intentionally small — the leverage comes from depth and design discipline, not headcount. Over time, you may take on management of contingent engineering support and a small number of engineers as the team's scope develops. Success looks like applications business teams actually adopt, technical patterns that get reused instead of rebuilt every quarter, and an engineering bar that holds without needing to be enforced.

• 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 

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.

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