Technical Product Manager

🕒 August 7

🏄 California, Florida, +2 more states – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

⚒️ Technical Product Manager (TPM)

👻 Ghost score 12%

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Logo of FIT:MATCH.ai

FIT:MATCH.ai

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

👗 Fashion

🏥 Healthcare

Artificial Intelligence • Fashion • Healthcare

FIT:MATCH. ai is an AI-powered body intelligence platform that converts a 3-second mobile scan into high-fidelity body measurements, composition indicators, and hyper-realistic 3D avatars using advanced computer vision—no specialized hardware required. Their flagship QuadraScan product provides scalable, objective body data used across sports science (maturation and longitudinal tracking), 3D apparel design (true-to-body avatars that improve fit and reduce development cycles), and healthcare (remote patient baselines and tracking). The company positions itself as replacing subjective assessments with consistent, actionable body insights for enterprises in performance, fashion, and clinical contexts.

📋 Description

• Own the product roadmap for one or more areas of the Body AI portfolio across healthcare, sports, and retail • Translate ambiguous domain workflows, computer vision capabilities, and data pipelines into clear specifications, requirements, and prioritized backlogs • Partner with engineering on system design and architecture decisions, including scope and sequencing trade-offs • Define and track success metrics, using product analytics to guide prioritization • Collaborate with clinicians, sports scientists, retail and apparel partners, design, and leadership • Manage the full product lifecycle from discovery and definition through delivery and post-launch iteration • Establish and evolve product processes, tooling, and documentation standards • Communicate roadmap, trade-offs, and progress to technical and non-technical stakeholders, including senior leadership

🎯 Requirements

• Minimum 5 years of professional experience in product management with direct, ongoing collaboration with engineering teams • Minimum 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 • Ability to understand and reason about technical architecture, including system design, data flow, APIs, and technical trade-offs • Track record of shipping complex, technically demanding products from ambiguous requirements to launch • Experience defining success metrics and using product analytics to inform decisions • Strong written and verbal communication skills • Ability to translate between technical and non-technical audiences • Comfort operating in a fast-moving, resource-constrained startup environment • Experience establishing product processes at an early-stage company • Preferred: experience in healthcare, sports/athletic performance, retail/apparel, or comparable measurement-critical or performance-critical domains • Preferred: experience designing products that present probabilistic or ML-driven output clearly and trustworthily • Preferred: experience working with clinicians, athletic trainers, or retail/apparel partners

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