STR
Principal Product Lead (TL2)
$206K–$275K
Woburn, MA +1 · Principal · Full-time · Posted Jul 27, 2026
- Location
- Woburn, MA
Woburn, Massachusetts, United States - Experience
- MS with at least 15 years, and/or PhD with at least 10 years (or equivalent experience); leadership experience includes leading teams of 10–40 engineers.
- Education
- MS in a scientific field such as applied math, physics, electrical engineering, computer science, or data science; or PhD (or equivalent experience).
- Visa sponsorship
- U.S. citizenship required; must be able to obtain a Security Clearance. Positions require employees to obtain national security clearances and satisfy export control and other applicable laws.
About the job
Leads product strategy and development for SET algorithms and software, integrating and demonstrating capabilities for government and commercial opportunities.
What you'll do
- Craft and execute product development and marketing strategy; shape backlogs with customers, end users, and product owners.
- Lead continued development of technology products and advanced algorithms and software for the Intelligence Community and Department of Defense.
- Lead engineering teams through Agile development and support product architecture and design reviews.
What they ask for
- Experience with sensing systems, data analytics, and DevOps software processes.
- Experience leading system and technology development teams and spanning product development from ideation through research and development.
- Ability to lead 10–40 engineers through the complete Agile development lifecycle.
- U.S. citizenship and ability to obtain a Security Clearance.
Nice to have
- U.S. government security clearance.
- Experience with Space Systems and intelligence products; working knowledge of DoD and IC missions and acquisition processes.
Pay
$206,000 - $275,000 USD base salary
Tools
machine learning, statistics, estimation theory, information theory, DevOps, Agile
AI focus
Develops and delivers advanced algorithms and software, including machine learning and analytics, for signals exploitation, target tracking, predictive analytics, and system resource management.
Model-written summary · the original posting is authoritative