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Sr Product Manager, Large Ag Autonomy

Project Management Full-time Permanent United States

Job details

$142,000 – $250,000/year Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Define and scale products for autonomous machinery used in large-scale agriculture. You’ll turn customer, market, and system evidence into product direction, working across hardware, embedded and mobile software, machine learning, and commercial teams to deliver useful, dependable capabilities.

Responsibilities - Build an understanding of customers and markets through field research, feedback, usage data, and quantitative analysis. - Identify unmet needs, workflow friction, and barriers to adoption, then test early product concepts with customers. - Set roadmap priorities by combining customer evidence, system performance, and business needs. - Define product requirements for operating conditions, data collection, safety, navigation, machine controls, and precision capabilities. - Establish performance criteria that reflect customer expectations as adoption develops. - Partner with engineering teams to deliver integrated hardware and software solutions, then track usage, mission quality, confidence, and satisfaction.

Requirements - Eight or more years of product management experience in a technology company. - Strong technical understanding of robotics, artificial intelligence, and machine learning systems. - Ability to navigate ambiguous problems, make trade-offs, and align a cross-functional team around a product mission. - Strong data-informed decision-making and communication skills, including explaining technical product choices clearly. - Bachelor’s or advanced degree in computer science, engineering, or a related field. - Familiarity with agile or scrum development and contemporary product management practices.

Nice to have Experience or knowledge in autonomy or robotics, having taken a product from market entry to scale, and an MBA or master’s in engineering.

Benefits and work setup The position is listed as full-time and remote within the United States; visa sponsorship is unavailable. The listing gives a base pay range of $142,000–$250,000 per year, with an annual performance bonus and benefits also available.

Skills detected in the listing

Machine Learning
Detected Oct 30, 2026
Last verified Oct 30, 2026

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