Head of Engineering (Healthtech)

Summary: We’re looking for a highly technical engineering leader ready to own an engineering function. Strong candidates may be Engineering Managers leading small teams who remain hands-on in backend, infrastructure, platform, or AI systems. You should already have responsibility for hiring, performance management, and difficult personnel decisions. You’ll own technical direction, delivery, hiring, and team performance from the start. For the first 6–12 months, expect substantial personal implementation: architecting core systems, using AI tools to generate production code, reviewing implementation details, debugging issues, and shipping alongside the team. The challenge is making claims processing, clinical workflows, patient applications, and shared data infrastructure work together securely and reliably. Decisions in one system affect how people work across the business. You’ll need to understand those relationships well enough to decide what to build, what to automate, and where human judgment belongs. You’ll report directly to the founding CEO and work together on product priorities, organizational decisions, and company strategy. Weekly one-on-one time provides an opportunity to develop your leadership and judgment alongside someone who has built companies through multiple stages of growth. This role is based in Seattle and requires working in person. Candidates willing to relocate are welcome. What You’ll OwnArchitecture and implementation of the company’s first products and infrastructure Connected systems for claims processing, clinical operations, member engagement, and shared data Practical use of frontier AI development tools, with accountability for the quality, security, and reliability of the resulting code Engineering execution, delivery, and an agreed-upon budget Hiring, coaching, performance management, and development of the engineering team Product priorities and measurable business outcomes, in partnership with the founders and clinical and business leaders Engineering practices that create clear ownership and help the team move quickly Broader opportunities to use AI automation across the company’s operations Many early users will be colleagues in clinical, operations, and sales roles. You’ll work directly with them to understand their problems, observe how the software performs, and improve what gets built.

What We’re Looking For: You likely have experience:

• Building backend, infrastructure, platform, distributed, or AI systems and remaining directly involved in production implementation
• Shipping 0-to-1 products or major capabilities that customers use and value
• Using modern AI coding tools to produce reliable production software, with the technical judgment to review, debug, and improve itLeading highly technical engineering teams, including hiring and performance decisions
• Making consequential architecture and product decisions when requirements are incomplete
• Translating customer and business problems into useful product designs
• Building secure, reliable systems that handle complex data and integrations

About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: https://greylock.com/How We WorkWe are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match to schedule an initial call. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.

Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.