Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Basel, Switzerland, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil.      


  • Lead creation of data collection targets and tools to ensure consistent collection of data and data standardization
    • Ensure all datas collected align with Data Science team requirements
  • Manage relationships and develop / implement farmer technology testing to support Indigo Research Partners and Key Accounts
  • Collaborate with IT and Data Science teams to generate reports to provide customers with unparalleled agronomic and profitability decision making ability
  • Ensure use of shared processes around data aggregation and preprocessing of data collected by Indigo Agronomists and Tech Service Representatives including on-farm data and remote monitoring equipment
    • This would include: yield, farm treatments, irrigation, soils, satellite and drone imagery
    • Provide feedback around process and tool improvements to Indigo’s software development team
  • Transfer consistent data sets to support Data Science team in development of state-of-the-art machine learning tools to understand crop yields as a function of microbiome, crop, planting conditions, soil, weather, farm treatments, and farm conditions
    • Work with Data Science team to produce compelling and clear visualizations of agronomic and statistical findings.


  • Able to collaborate at a high level within the country team and across R&D, Data Science, Tech and other teams
  • Able to prioritize large number of requests/requirements from a diverse group of end-users
  • Outstanding communication skills
    • Outgoing and enthusiastically enjoys explaining data collection process and norms
    • Ability to train field team in data collection process and norms
    • Ability to communicate data collection process with data science team
  • Able to work independently and drive to solutions with minimal direction
  • Curious, perceptive and entrepreneurial: Enjoys new technology
  • A Team player – someone who thrives working in cross functional teams throughout the organization
  • Able to adapt easily to new types of problems and questions
    • Flexible to different types of analysis and different stakeholders (e.g. lab science, field trials, commercial team)
  • Strategic business mindset
  • Able to build out operational workflows and field processes


  • 5+ years in field data solutions, management or data operations
  • Masters or advanced degree preferred
  • Broad industry experience preferred (agronomy, tech, life sciences, data operations)
  • Experience in working with growers/clients and delivering advice, reporting and analyses
  • Experience working in fast-paced, quickly pivoting environment
  • Ability and willingness to travel up to 50% of the time
  • Fluency in English is required; a second European language is desirable

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