Head/VP of Engineering

Valius Sciences•San Francisco, CA

1d•Hybrid

About The Position

Valius is building the next generation of precision oncology, helping cancer patients and their physicians make more informed treatment decisions through comprehensive molecular testing and rigorous scientific analysis. In our first nine months, we’ve worked with close to 50 patients, identifying plausible therapeutic targets in the vast majority of cases. We’ve just raised a $10M seed round, led by 8VC and Basis Set Ventures, and are looking for folks passionate about changing cancer care to join our growing team. We’re hiring a strategic and experienced Head / VP of Engineering to lead the engineering function at Valius. You’ll be a player-coach: collaborating directly with the founders and the science team to oversee the technical direction of all of our internal and external facing products, and being hands-on in the engineering with your developers. You’ll also be responsible for building the engineering team, culture, and processes that will propel our growth. This role will be expected to work out of our beautiful San Francisco office four days a week.

Requirements

8+ years of software engineering experience, with at least 2-3 years in an engineering leadership role (tech lead, engineering manager, or equivalent)
Track record of both hands-on technical execution and leading / mentoring engineers
Strong product instincts and ability to collaborate with non-engineering stakeholders to shape roadmaps
Strong foundation across the full stack, with particular depth in back-end systems, data infrastructure, and cloud architecture (Python, AWS/GCP, data pipelines)
Experience making architectural decisions and owning them end-to-end
Experience building and scaling engineering teams, including hiring
Genuine excitement about working in a fast-moving, early-stage environment where the scope of the role will evolve
Commitment to our patient-focused mission

Nice To Haves

Experience in life sciences, genomics, or bioinformatics
Experience working at an early-stage startup
Background in data engineering or working with large datasets
Experience integrating AI features in production applications
Experience as an early engineering hire or founding engineer at a startup

Responsibilities

Define and own technical strategy: Partner with the founding team to set the technical vision and roadmap across our internal and external applications, data infrastructure, and AI-powered product.
Drive product delivery: Establish lightweight but effective engineering processes that help the team ship reliably without bureaucratic overhead.
Lead and grow the engineering team: Directly manage our software engineers, establish a high-performance engineering culture, and lead hiring as the team grows.
Stay hands-on: Contribute meaningfully to the codebase, including reviewing code, making architectural decisions, and rolling up your sleeves when needed.
Own architecture and infrastructure: Make key decisions on system design, cloud infrastructure, data pipelines, and our security and compliance posture.
Partner with computational biology: Work closely with our science team to develop tools that accelerate their work.
Contribute across the company: Pitch in on cross-functional initiatives and bring an engineering perspective to strategic, company-level decisions.