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Orbem

MRI-powered AI for noninvasive food analysis

Senior Director of Product

Product ManagementConfirmed live in the last 24 hours
Full-timeMunich, Germany

About the Job

Requirements

  • Experience shipping physical products in industrial environments at mass scale, leveraging hardware while iterating on artificial intelligence and software.
  • Experience scaling a deep-tech company from approximately 50 to 500 people and building the function that delivers globally successful products.
  • An engineering background, with experience building or leading at least two of Product Management, Technical Program Management, Systems Engineering, and Product Quality, and understanding how the other functions work.
  • Ability to work directly with customers to clarify problem statements and translate them into shippable specifications.
  • Accountability for product outcomes across product, science, engineering, operations, and commercial teams.
  • Experience leading product architecture shifts from individual products to hardware platform products that support scalable solutions across market segments.
  • 15+ years of professional experience, including 7+ years building organizations and shipping products.
  • Ability to communicate product strategy across the company and define tactics.

Responsibilities

  • Own the Product function, including Product Management, Technical Program Management, Systems Engineering, and Quality Management and Compliance, and deliver products end-to-end at industrial scale.
  • Build a systemic capability to scale technologies into global products, shaping what the company builds and how it reaches the market.
  • Own the end-to-end product lifecycle and build the function that translates customer needs and company strategy into mass-scale products.
  • Work with Product Management, Technical Program Management, Systems Engineering, and Quality Management and Compliance to define accountabilities, processes, and tactics for delivering with speed and quality.
  • Build a coherent product ecosystem encompassing user experience, requirements, architecture, metrics, and compliance.
  • Guide product compliance and certifications across product lines, making compliance an enabler of the business.
  • Define the company standard for customer evidence to establish product viability and desirability.
  • Create the organizational structure and staff it with functional expertise; develop the team's people, processes, and tools.
  • Partner with Science to structure how application feasibility and artificial intelligence and machine-learning maturity flow through the development lifecycle.
  • Partner with Operations to ensure products work globally.
  • Deliver viable, desirable, and feasible products on time, to quality, and within budget while maximizing company profit and impact.
  • Translate product and technology strategy into roadmaps, programs, architectures, and compliance plans that advance product metrics across industries.
  • Hire, mentor, and lead a high-performing product function spanning functional teams and cross-functional value-creation structures.
  • Own tactical and strategic prioritization and make decisions about what not to pursue immediately.
  • Build regulatory and quality strategy into product development from the outset.

Desired Qualifications

  • Experience shipping embedded artificial intelligence products, including Physical AI.
  • Experience as a Senior Director or at VP level.
  • Experience at a deep-tech scaleup that grew from a few customers to global reach.
  • Experience in industrial life science.
  • Experience as an engineering leader.
  • A track record of highly successful products in the market.

About the Company

Orbem

MRI-powered AI for noninvasive food analysis

Orbem uses MRI imaging combined with AI to non-invasively analyze biological materials quickly for food producers, researchers, and healthcare. Its Genus Focus tech can determine the sex of poultry eggs in under a second without culling male chicks, and Genus Scale checks fertilisation status before incubation, with over 170 million eggs scanned. The system works by linking MRI hardware with specialized AI models that interpret biological signals to reveal internal conditions without cutting products. The company's goal is to expand MRI-enabled, non-invasive analysis into more food verticals, healthcare, and US markets, while scaling poultry platforms and building a growing data set.

Company size
201-500
Company stage
Series B
Total funding
$101.4M
Headquarters
Munich, Germany
Founded
2019

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