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Fit:Match is seeking a Technical Product Manager to sit at the intersection of product and engineering across our full Body AI portfolio — healthcare, sports, and retail. This role owns product strategy and execution while staying close enough to the technical architecture to make sound trade-offs on feasibility, sequencing, and system design alongside engineering. You'll work across QuadraScan and our clinical platform, translating requirements from a range of domains — clinical, athletic, retail/apparel — and business and technical constraints into a coherent, well-sequenced roadmap.
This is a hands-on role for someone who can move fluidly between writing a spec, reviewing an architecture diagram, and explaining a trade-off to leadership. A nice-to-have: prior hands-on software engineering experience, particularly having helped shape the technical foundation of an early-stage product or company before moving into product management.
Own the product roadmap for one or more areas of the Body AI portfolio, balancing requirements across healthcare, sports, and retail with consumer needs and technical constraints
Translate ambiguous problems — domain-specific workflows, computer vision capabilities, data pipelines — into clear specs, requirements, and prioritized backlogs
Partner directly with engineering on system design and architecture decisions, understanding trade-offs well enough to make informed calls on scope and sequencing
Define and track success metrics for product initiatives, using data and product analytics to guide prioritization and identify what's working
Work cross-functionally with domain experts — clinicians, sports scientists, retail and apparel partners — along with design and leadership, to align product decisions with both user needs and technical reality
Manage the full product lifecycle: discovery, definition, delivery, and post-launch iteration
Help establish and evolve product processes, tooling, and documentation standards as the company scales
Communicate roadmap, trade-offs, and progress clearly to both technical and non-technical stakeholders, including senior leadership
A minimum of 5 years of professional experience in product management, with direct, ongoing collaboration with engineering teams
A minimum of 2 years of professional experience with computer vision, machine learning, or 3D/spatial data products, or Prior hands-on software engineering and/or data architecture experience
Demonstrated ability to understand and reason about technical architecture — comfortable in conversations about system design, data flow, APIs, and technical trade-offs, even without writing production code day to day
A track record of shipping complex, technically demanding products from ambiguous requirements to launch, guided by sound product judgment
Comfort defining success metrics and working with product analytics to inform decisions
Strong written and verbal communication skills, with the ability to translate between technical and non-technical audiences
Comfort operating in a fast-moving, resource-constrained startup environment, including experience establishing product processes at an early-stage company
Experience in measurement-critical or performance-critical domains, such as healthcare, sports/athletic performance, retail/apparel, or comparable fields
Experience designing products that present probabilistic or ML-driven output in a clear, trustworthy manner
Experience working directly with domain experts such as clinicians, athletic trainers, or retail/apparel partners to translate specialized requirements into product decisions
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