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Director of Product

Job in Austin, Travis County, Texas, 78716, USA
Listing for: HireNetworks
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Product Designer, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Our client is seeking a senior product leader to own the end-to-end shipped experience and training flow architecture for a biosensing-driven adaptive training platform, initially focused on enterprise and high-performance use cases. This is a full-time permanent position for a startup company based in Austin, TX, offering a competitive salary and excellent benefits.

This role ensures that physiological signals, training logic, and user experience come together into a coherent, field-ready system that supports real training outcomes in real-world deployment. It requires a leader who can work fluently across data and biosignals, technical product constraints, and the lived user experience—understanding not just how the system functions, but how it feels to move through it as a user or operator.

You will be hands‑on defining training flows, product requirements, and experience logic, working closely with cross‑functional teams and early enterprise clients. The role blends systems thinking, validation awareness, and deep empathy for users to build training systems that are reliable, repeatable, and impactful. Success means translating complex inputs into experiences that people can understand, trust, and use consistently—and that ultimately deliver measurable outcomes.

Key Responsibilities End‑to‑End Shipped Experience
  • Own the full product experience end to end across hardware, software, biosensing, and training, including setup, calibration, training sessions, biofeedback, reporting, and operator workflows.
  • Define what “ready” means for real‑world deployment and ensure teams deliver against that standard.
  • Identify and resolve gaps, risks, or breakdowns that could impact adoption, trust, or outcomes, ensuring what ships works reliably for users, operators, and enterprise clients.
Training Architecture & Adaptive Logic (Core Responsibility)
  • Own the architecture of training programs across the system, including session structure, progression, effort models, and training cadence.
  • Define how biosensing inputs (e.g., EEG, HRV) drive real‑time biofeedback, adaptation, and user action, translating training logic into clear product requirements and acceptance criteria.
  • Partner with research advisors and neuroscience collaborators to ensure training programs are deployable and designed to drive lasting skill or trait‑level outcomes.
  • Own product-level decisions at the intersection of biosignals, hardware constraints, adaptive logic, and user experience.
  • Ensure training and experience decisions respect physiological signal realities, including signal quality, noise, latency, setup time, and repeatability.
  • Partner closely with hardware, signal, and engineering teams to evaluate tradeoffs and constraints, escalating when decisions compromise comfort, reliability, or outcome delivery.
UX Research & Experience Quality
  • Own UX research strategy and execution across the product lifecycle.
  • Define research questions, methods, and priorities, and conduct or oversee user interviews, usability testing, field observation, and pilot feedback.
  • Ensure insights about how users feel, understand, and move through the system directly inform training design, UX decisions, and product requirements.
  • Set quality standards for UX, interaction design, and training flows, ensuring experiences function reliably in real‑world use.
Cross‑Functional Delivery, Research Translation & Field Feedback
  • Act as the integration point across hardware, software, research, design, and experience teams to ensure nothing ships disconnected from training intent.
  • Translate system intent, validation needs, and research findings into clear execution priorities and product updates.
  • Hold teams accountable to acceptance criteria tied to user and client outcomes, not just feature completion.
  • Engage directly with enterprise clients, operators, and facilitators to observe real‑world use, capture feedback, and close the loop between deployment insights and product iteration.
Experience & Background Required
  • 8–12+ years in product roles delivering complex, integrated systems (hardware + software, sensing platforms, medical devices, wearables, defense, or performance training…
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