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Director of Product

in 80331, München, Bayern, Deutschland
Unternehmen: Innatera
Vollzeit position
Verfasst am 2026-01-26
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur, Systemingenieur, Data Science Manager
Stellenbeschreibung

Overview

Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains.

With over €37m in funding raised, we're scaling fast towards bringing our neuromorphic technology to billions of sensors by 2030. Our mission? To make the world smarter, safer, and greener. We’re not just about pushing boundaries, we’re about making a difference.

As a valued member of our team focused on making a positive impact, you will work in a supportive environment that recognizes and values your life beyond the confines of work.

We’re looking for a strategic and execution-focused Director of Product to own and evolve the roadmap for Innatera’s next-generation neuromorphic AI compute platforms. You will operate at the intersection of AI innovation, semiconductor design, embedded software, and real-world applications. Your mission is to turn advanced internal innovation into clear product direction and market-ready offerings that deliver real developer and customer value.

This is a hands-on, entrepreneurial role where you will bring structure to complexity, drive alignment across teams, and shape the future of our hardware–software ecosystem.

Responsibilities
  • Own and evolve the product roadmap for Innatera’s neuromorphic AI chip platforms.
  • Define product vision and translate complex innovation into a focused, executable product scope.
  • Align long-term product direction with research, neuromorphic architecture, silicon development, SDK, and applications.
  • Gather and synthesise input from customers, partners, and sales/FAE to validate problems and define priorities.
  • Drive strategic product definition based on application needs, developer workflows, and embedded-AI market signals.
  • Define and manage the complete product lifecycle, from early concept validation through engineering development and into GTM.
  • Evaluate and prioritise opportunities using business cases, technical trade-offs, and cross-functional alignment.
  • Build structured feedback loops that inform iteration, competitive positioning, and long-term roadmap planning.
  • Operate across Innatera's tech stack and teams.
  • Shape value propositions, launch plans, messaging, and early GTM alignment.
  • Support competitive analysis and differentiation strategy.
  • Bring clarity and structure to complex product discussions in a fast-paced, ambiguous environment.
Qualifications
  • 10+ years of product management experience in semiconductors, AI chips, embedded compute, or complex HW/SW systems.
  • Direct experience with embedded AI, edge AI, ML/DSP applications, or sensor-based AI workloads (e.g., radar, audio, gesture, industrial sensing).
  • Strong background in microcontrollers, SoCs, low-power chip design, or neuromorphic/accelerator architectures.
  • Hands-on experience with software ecosystems (SDKs, APIs, developer tools, tool chains) and how software maps onto constrained hardware.
  • Proven track record in hardware–software productisation cycles, ideally in automotive, wearables, IoT, industrial sensing, or other high-volume embedded markets.
  • End-to-end lifecycle ownership, including defining requirements, shaping architectures with engineering, enabling developers, and supporting GTM.
  • Ability to translate architecture-level innovation into PRDs, requirements, and market-ready value propositions.
  • Strong understanding of go-to-market strategy: customer value framing, prioritisation, segmentation, and feedback integration.
  • Confident in interfacing with chip architects, research teams, firmware and SDK engineers, and customer-facing teams.
  • Excellent communication and decision-making skills; able to synthesise complexity and drive alignment.
  • Strong prioritisation instincts and problem-solving abilities in ambiguous, resource-constrained environments.
  • Ability to extract inputs from multiple…
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