Sr Product Manager, Large Ag Autonomy

Blue River Technology

14h•$142,000 - $250,000•Remote

About The Position

Blue River Technology, working within John Deere, is seeking an experienced product manager to define and scale autonomous products for large-scale agriculture. The role partners closely with engineering leaders and commercial teams to accelerate growth, translating customer evidence, system performance, and business needs into product direction and roadmap priorities. The successful candidate will be comfortable navigating ambiguous problems and working across both heavy-equipment and Silicon Valley technology environments. This position is remote in the United States. Employment type is full-time. Visa sponsorship is not available. The role is based at Blue River Technology, headquartered in Santa Clara, California, and has a stated base pay range of $142,000–$250,000 per year. It is also eligible for an annual performance bonus and a competitive benefits package.

Requirements

At least 8 years of experience as a product manager in a technology company.
Strong technical competency, specifically in robotics, artificial intelligence, and machine learning systems.
Ability to collaboratively solve unstructured, ambiguous problems with curiosity.
Proven ability to influence, collaborate, and engage with people from diverse backgrounds.
Excellent communication skills, including the ability to communicate technical product information clearly, concisely, and creatively.
Ability to galvanize a team around a mission and make difficult trade-off decisions.
Strong background in data-driven analysis and decision-making.
Bachelor’s or advanced degree in computer science, engineering, or a related field.
Familiarity with software development methodologies such as Agile and Scrum, and modern product management methodologies.

Nice To Haves

Experience with or knowledge of the autonomy or robotics space.
Entrepreneurial experience taking a product from market entry to scale.
MBA or MSE.

Responsibilities

Build customer, business, and market understanding through field research, customer and product feedback, usage data, and quantitative analysis.
Identify customer needs, friction points, and adoption barriers, and develop concepts that shape product direction.
Run rapid customer-facing experiments to validate or invalidate early concepts.
Translate customer evidence, system performance, and business needs into clear roadmap priorities for cross-functional teams.
Define core requirements for operational design domain, data collection, safeguarding, guidance and navigation, machine controls, and precision technology.
Set system performance criteria aligned with customer expectations throughout the adoption curve.
Partner with cross-functional engineering teams to define and deliver hardware, digital and embedded software, computer vision and machine learning, and mobile solutions to production.
Track usage, mission quality, customer confidence, and satisfaction to improve repeat use and product impact.
Do what is needed to make the product successful.