Senior Product Manager – ML Models

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 19%

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Logo of Quartermaster

Quartermaster

1 - 10 employees

Founded 2023

📦 Logistics

🏭 Manufacturing

🎖️ Defense

Logistics • Manufacturing • Defense

Quartermaster is a company redefining maritime intelligence by providing unmatched precision and visibility in real-time to monitor the world's most remote waters. Their AI-powered SmartMast system transforms everyday vessels into a comprehensive ocean intelligence network, significantly enhancing the monitoring of maritime activities and addressing issues such as smuggling and illegal fishing. By leveraging onboard sensors and high-bandwidth satellite connectivity, Quartermaster delivers high-resolution detections and actionable insights to users, ensuring enhanced maritime awareness and decision-making.

📋 Description

• Own product strategy for the machine learning models powering maritime domain awareness products • Translate ambiguous operational problems into a clear model roadmap • Align model development with the technical roadmap across hardware, software, data, and ML • Engage users, analysts, and partners to understand maritime activity detection, tracking, and decision-making needs • Convert customer research into prioritized problem statements, user journeys, and measurable success criteria • Define the model portfolio, sequencing, performance standards, target metrics, error modes, edge latency and compute budgets, data needs, and evaluation datasets • Partner daily with Applied ML and RF ML Engineers on experiment design, evaluation methodology, error analysis, and release criteria • Determine when models are ready to ship and when further iteration is needed • Communicate model strategy, progress, tradeoffs, and risks to the C-suite, board, customers, and partners • Lead execution from ideation through launch and ongoing performance monitoring • Build feedback loops from fielded systems into data collection, labeling, and retraining • Establish metrics, experimentation practices, and evaluation standards to accelerate reliable model delivery

🎯 Requirements

• Bachelor's degree in engineering, computer science, or a related technical field, or equivalent practical experience • 5+ years of experience in product management, program management, or technical leadership roles • At least 2 years taking technical products from conception to launch • Experience defining requirements, success metrics, and evaluation approaches for ML or AI-powered products • Experience working directly with ML engineers and data scientists • Experience running experiments and using data to drive product decisions, including A/B testing or offline evaluation • Ability to lead cross-functional teams of engineers, researchers, designers, and operators without direct authority • Track record of briefing senior leaders, executives, or customers on complex technical topics and shaping decisions • Working fluency in Python and SQL • MS in an engineering or technical discipline, or both • Hands-on experience with applied ML, including predictive modeling, recommendation or ranking systems, or LLM/agentic pipelines • Familiarity with scikit-learn or TensorFlow • Background or familiarity with maritime, defense, aerospace, or national security environments • Comfort translating operational needs into technical requirements • Authorization to work in the United States of America

🏖️ Benefits

• Competitive salary • Flexible work hours • Option for remote work • Opportunities for professional development and continued education

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