Senior Software Engineering Manager, Lab Data Platform

Profluent • Emeryville, CA

1d • Onsite

About The Position

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 Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
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.

Requirements

• 7+ years of software engineering experience with at least 2 years in a leadership role
• BS, MS, or PhD in Computer Science or related field
• Proven success delivering production-ready applications and infrastructure at scale, strong proficiency in Python and modern development workflows (git, Agile, CI/CD)
• A background that incorporates backend and frontend (Django) frameworks, cloud platforms (GCP), and databases (PostgreSQL, BigQuery)
• Experience building or integrating research-focused software and/or scientific data systems (like Benchling), where you have partnered directly with wet-lab scientists to translate massive, complex experimental datasets into scalable and actionable software solutions

Nice To Haves

• Background working in cross-disciplinary teams (e.g., scientists, ML engineers, data engineers)
• Experience with data generated from high-throughput and large-scale wet lab experiments
• Interest in learning biology, gene editing, or protein design concepts

Responsibilities

• Lead, mentor, and grow a software engineering team using cloud-native technologies to build scalable data integration pipelines that transform raw protein engineering data into actionable insights for our ML models
• Architect and deliver the technical roadmap for our data platform, using GCP and Python to build scalable pipelines and web-based applications that organize, process, and visualize the output of our protein engineering campaigns
• Drive cross-functional alignment by sitting at the intersection of biology, data science, and machine learning to translate complex experimental requirements into technical solutions that accelerate our protein design cycle

Benefits

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior