Come work alongside some of the most talented minds in the agtech industry. We are a team of innovators who are accelerating the digitization and sustainability of our planet’s food system. At Arable, you will have the unique opportunity to build something meaningful with an amazing group of people who care about each other and their work.
What we do:
At Arable, our goal is to connect all the world’s farms to help optimize the global food system. This is an ambitious goal, but the need has never been greater to rethink how we will feed an ever-growing population and reduce our impact on natural resources. We believe the heart of the solution is digitizing the analog world with high-fidelity data to help food producers optimize their operations. We hope the impact of our work will improve the lives of farmers everywhere and be a major contribution to securing the global food supply for decades to come.
A few examples of the work we’re doing today:
Helping farmers in India and Mozambique adapt to the effects of climate change on their farms with novel data-driven crop insurance
Giving produce growers in California the tools to optimize production and minimize waste
Helping irrigated farms in Nebraska manage water more efficiently and sustainably to protect our water supply
Arable is redefining crop intelligence by uniting sensing technology, agronomic modeling, and machine learning into a single, powerful system that transforms raw field data into real-world decisions. We enable growers, agronomists, and global agriculture enterprises to optimize water use, enhance productivity, reduce risk, and scale sustainable practices with confidence. At Arable, we believe agriculture deserves tools as advanced and intuitive as the growers who depend on them. When hardware, data science, and software come together seamlessly, data becomes a source of clarity, not uncertainty. Our team works every day to make this future a reality.
What We Are Looking For
The Product Operations Manager plays a critical role in connecting field data, product strategy, and internal teams to ensure the successful delivery of high-value insights to customers. This role is responsible for managing operational workflows that transform complex agricultural and environmental data into clear, actionable reports and scalable product processes.This individual will work closely with agronomy, product, customer success, and engineering teams to ensure data integrity, operational efficiency, and continuous improvement of data-driven solutions that support growers and advance Arable’s mission.
Responsibilities:- Coordinate closely with Sales, Customer Success, Agronomy, and Product teams to ensure alignment on project milestones and field data collection
- Act as a trusted operational partner to Product and leadership teams by owning execution details, driving follow-through on key initiatives, and proactively removing operational bottlenecks
- Design and manage grower data collection frameworks, ensuring accuracy, quality, and consistency across sources
- Translate complex agricultural, environmental, and sensor data into clear, value-driven customer reports and insights
- Research regional agricultural practices, crop cycles, and environmental factors to support localized data interpretation
- Execute and refine manual product workflows while identifying opportunities for automation and scalability
- Develop internal tools, templates, and review processes to support efficient reporting and operations
- Partner with Agronomy, BI, and Product teams to prototype new data-driven features and support rapid MVP development
- Identify patterns, operational gaps, and process improvements to enhance product delivery and customer value
Qualifications:- 4–7 years of experience in Product Operations, Data Analysis, Program/Project Management, or similar roles, preferably in a technology environment
- Strong ability to analyze complex datasets and translate findings into clear, professional insights
- Excellent communication skills with the ability to simplify technical concepts for diverse audiences
- Experience or familiarity with agriculture, agronomy, AgTech, or environmental data strongly preferred
- Understanding of agricultural seasonality and field operations is a significant plus
- Demonstrated ability to build processes from scratch, work through ambiguity, and create scalable solutions
- Highly proactive self-starter who thrives in ambiguous environments and can independently drive priorities forward with minimal oversight
- Bachelor’s degree in Agriculture, Environmental Science, Data Analytics, Business, or a related field preferred
What we offer:
At Arable, you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits, including:
Excellent medical, dental, vision, and a 401k program
Flexible PTO
A focus on community involvement and career development
Being a part of creating innovative new products that have a positive impact on the world
At Arable, we don't just accept difference—we celebrate and support it. Not only because it's the right thing to do but because we draw on the differences in who we are, what we've experienced, and how we think to make Arable thrive. Arable is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, protected veteran status, and any other characteristic protected under applicable State or Federal laws and regulations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
