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Code Metal

Optimizes research code for edge deployment

Senior Product Manager - Modeling & Simulation

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Experience owning software products from discovery through launch in a technical B2B, enterprise, or platform environment.
  • Ability to rapidly learn new industries, technologies, and customer domains and become an effective product leader without requiring deep prior subject matter expertise.
  • Customer discovery and user research skills, including translating customer insights into product strategy and roadmap decisions.
  • Product judgment and prioritization skills, including making tradeoffs under uncertainty.
  • Ability to work cross-functionally with Engineering and Design as equal partners throughout the product development lifecycle.
  • Systems thinking and ability to simplify complex technical concepts into intuitive product experiences.
  • Experience defining product strategy using customer insights, business goals, and technical constraints.
  • Communication skills to influence executive, technical, and customer stakeholders.
  • Ability to operate in ambiguous, fast-moving environments where priorities evolve as new information emerges.
  • Written communication skills for product requirements, strategy documents, and decision-making artifacts.
  • Eligibility to obtain and maintain an active U.S. security clearance.

Responsibilities

  • Own product strategy and execution for one or more mission-critical software products, from discovery through delivery and iteration.
  • Conduct customer interviews, observe workflows, and partner with domain experts to understand complex operational challenges.
  • Ramp into unfamiliar technical domains and synthesize complex concepts into clear product direction.
  • Define product vision, strategy, roadmaps, and success metrics aligned with customer outcomes and company objectives.
  • Translate user needs, technical capabilities, and business priorities into clear product requirements and well-defined initiatives.
  • Partner with Design to lead user-centered discovery, validate concepts, and ensure solutions address meaningful customer problems before development begins.
  • Work side-by-side with Engineering to understand technical tradeoffs, shape implementation approaches, and make informed prioritization decisions throughout development.
  • Balance customer value, technical complexity, speed, and long-term platform investments in product tradeoffs.
  • Drive cross-functional alignment across Engineering, Design, Leadership, and customers to support shared understanding and successful execution.
  • Use qualitative and quantitative data to evaluate product performance and continuously improve user outcomes.
  • Communicate product decisions, priorities, and rationale across technical and non-technical audiences.

Desired Qualifications

  • 5+ years of Product Management experience building technical software products.
  • Experience working on complex technical products, developer or expert tools, AI platforms, simulation software, geospatial systems, defense technology, aerospace, or other technically sophisticated products.
  • Experience working directly with highly technical customers, engineers, and domain experts.
  • Familiarity with modern product discovery practices, experimentation, and user-centered product development.
  • Experience bringing new products from concept through launch in early-stage or high-growth environments.
  • Technical background or ability to engage confidently in engineering discussions around architecture, application programming interfaces, artificial intelligence/machine learning, or distributed systems.

About the Company

Code Metal

Optimizes research code for edge deployment

CodeMetal.ai provides a SaaS platform that turns research code into optimized, edge-ready low-level code. It serves academia, defense, and tech sectors in AI and machine learning. Users upload code written in Python, Julia, or MATLAB, pick target deployment chipsets, and the platform automatically optimizes the code and adapts it to chosen runtimes, iteratively improving performance. This approach differentiates CodeMetal.ai by offering multi-language support, chipset-aware optimization, and runtime adaptation within a cloud-based service, enabling users to deploy efficient code on edge devices without manual low-level tuning. The company's goal is to help clients run more efficient AI/ML workloads on edge hardware by converting high-level research code into fast, platform-optimized implementations via subscriptions and usage-based pricing.

Company size
51-200
Company stage
Series B
Total funding
$177.7M
Headquarters
Boston, MA
Founded
2023

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