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Meet Life Sciences is partnering with a stealth neurotechnology company in San Francisco to build a data-intensive platform that translates research into reliable, commercially ready software products. The role focuses on leading a small team across data-heavy applications, ML workflows, and device integrations.
You will shape technical strategy, drive day-to-day execution, and mentor engineers to deliver robust, scalable features in a highly collaborative, fast-moving environment.
Meet Life Sciences is partnering with a stealth neurotechnology company in San Francisco that is developing cutting-edge brain-computer interface technology to help restore autonomy and improve quality of life for people living with disabilities. They are hiring a hands-on Software Engineering Manager to lead a small team working across a data-intensive application platform, ML workflows, and device integrations, helping translate advanced research into dependable, commercially ready product features.
Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.
We are seeking an experienced Software Engineering Manager to coordinate development of a data-intensive application platform, and its integrations with ML workflows, clients, and devices. You’ll support a small team in planning and delivering complex work, shaping the technical strategy and day-to-day execution. Your work will help translate research-validated neurotechnology into dependable, commercially ready product features.
All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process