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ManagerFull-timeRustAWSMachine LearningData ScienceGit
Salary Range
$176,800 - $239,200 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Product Operations Manager to join our team at Arable. This role plays a critical part in connecting field data, product strategy, and internal teams to ensure the successful delivery of high-value insights to customers.
Key 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.
Requirements
- ✓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.
Benefits
- ★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
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