Senior Software Engineering Manager (Lab Data Platform)

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.

The Role

We’re looking for a proven engineering leader to build and lead a high-performing software team, set the roadmap, and own the architecture of Profluent’s data platform. This platform houses all data from protein engineering campaigns — from protein designs, to large-scale experimental datasets, to analysis — enabling rapid machine learning and biological discovery.

You’ll guide technical decisions, foster best-in-class engineering practices, and ensure delivery through agile workflows, rigorous code review, and CI/CD pipelines—all while collaborating with scientists and ML experts to create impactful tools.

Responsibilities

• Lead, mentor, and grow a software engineering team
• Define the product and own technical roadmap for the data platform
• Architect and deliver scalable cloud-native solutions for data integration, analysis, and user-facing applications
• Collaborate with leadership and facilitate cross-team alignment to ensure technical priorities support business goals
• Champion agile practices, peer reviews, and continuous delivery

Qualifications

• BS, MS, or PhD in Computer Science or related field
• 7+ years of software engineering experience, including 2+ years in a leadership role
• Proven success delivering production-ready applications and infrastructure at scale
• Experience with backend and frontend frameworks, cloud platforms (GCP preferred), and databases (PostgreSQL, BigQuery)
• Strong proficiency in Python and modern development workflows (git, agile, CI/CD)

Preferences

• Experience building or integrating scientific data systems (e.g., Benchling)
• Experience developing scientific or research-focused software
• Background working in cross-disciplinary teams (e.g., scientists, ML engineers, data engineers)
• Experience with high-throughput data pipelines or large-scale experimental datasets
• Interest in learning biology, gene editing, or protein design concepts

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Work Authorization

Candidates must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided for this position.

Ready to help build the future of protein design? Join us in establishing the experimental foundation that will validate breakthrough AI-generated proteins and transform biomedicine.

Profluent Bio, Inc. is an equal opportunity employer committed to diversity and inclusion in the workplace.