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Digital Green

AI-powered agricultural advisory for smallholders

Global Data Protection Officer & Senior Legal Counsel

Full-TimeUpdated on 10/23/2026
No salary listed
Senior, Expert
Bachelor's
Bengaluru, Karnataka, India
In Person
LegalLegal Counsel & Legal Support

About the job

Requirements
  • A law degree and authorization to practice law in India, Kenya, the United States, or another relevant jurisdiction are required.
  • Approximately 7–10 years of relevant legal experience are required.
  • Strong experience in privacy, data protection, technology law, commercial contracting, or a combination of these areas is required.
  • Experience building, implementing, or operating a privacy or data-protection program is required.
  • Experience serving as a Data Protection Officer, privacy counsel, product counsel, technology lawyer, or senior in-house legal adviser is required.
  • Experience advising digital products and working directly with Product and Engineering teams is required.
  • Strong experience reviewing and negotiating contracts beyond their privacy provisions is required.
  • Familiarity with privacy-program requirements is required, including notices and consent, data-subject rights, Data Protection Impact Assessments, data sharing, controller and processor analysis, cross-border transfers, incident response, and records of processing.
  • Ability to work across multiple jurisdictions and manage external counsel effectively is required.
  • Strong judgment and the ability to translate legal requirements into practical, proportionate actions are required.
  • Strong project-management skills and the ability to work independently in a distributed organization are required.
  • Willingness to personally handle both strategic and detailed operational work is required.
  • Ability to exercise independent judgment in the Data Protection Officer function while serving as a practical and collaborative in-house legal adviser is required.
  • Excellent written and verbal communication skills are required.
Responsibilities
  • Assess Digital Green’s current privacy and data-governance practices and develop a practical, risk-based roadmap for strengthening them.
  • Build a coherent privacy program covering FarmerChat and the organization’s employee, consultant, partner, vendor, donor, research, and operational data.
  • Develop and implement the policies, privacy notices, procedures, templates, records, governance structures, and approval workflows needed to support the program.
  • Establish processes for product privacy review, data sharing, data-subject rights, Data Protection Impact Assessments, retention and deletion, international transfers, incident response, and regulatory compliance.
  • Establish roles, accountability, and decision-making processes across Product, Engineering, Programs, Human Resources, Operations, and country teams, including ownership of processing activities by relevant business and functional teams.
  • Develop practical tools, training, and guidance that enable teams to apply data-protection requirements consistently.
  • Create mechanisms to track risks, remediation actions, decisions, and overall program effectiveness, with a program proportionate to Digital Green’s mission, operating model, resources, and risk profile.
  • Serve as the principal legal and data-governance adviser for FarmerChat and related digital products, working with Product, Engineering, Design, Data, and Programs to identify legal, privacy, data-governance, and responsible artificial-intelligence issues early in product and program design.
  • Advise on new features, artificial-intelligence use cases and model development, integrations, user onboarding, consent and communication flows, research and monitoring and evaluation activities, and proposed uses, sharing, or publication of farmer and user data, including text, voice, images, and other data used for model training and evaluation.
  • Translate legal and regulatory requirements into workable product, technical, and data-governance requirements, including controls for personally identifiable information, sensitive data, dataset access and reuse, and re-identification risk.
  • Advise on technology, intellectual property, research, partnerships, user communications, and emerging regulatory issues affecting FarmerChat.
  • Develop practical approaches to transparency, user choice, data minimization, de-identification, access, retention and deletion, international transfers, training and evaluation datasets, open data and dataset publication, human oversight, and responsible artificial intelligence.
  • Monitor privacy, data-protection, artificial-intelligence, and electronic-communications law developments and assess their implications for FarmerChat.
  • Help Product, Engineering, Data, and program teams incorporate appropriate legal and data-governance review into their regular working practices.
  • Serve as Global Data Protection Officer and principal internal privacy and data-protection adviser, including as designated Data Protection Officer for relevant entities where appropriate and coordinating additional local Data Protection Officer or representative arrangements required by law.
  • Operate the privacy program day to day by reviewing data-subject requests, data-sharing and data-access requests, Data Protection Impact Assessments, complaints, incidents, and retention or deletion questions.
  • Review and document proposed uses, disclosures, and transfers of personal data and provide practical, risk-based recommendations.
  • Oversee privacy incidents and breach-response obligations, coordinating internal teams and external counsel as needed.
  • Maintain compliance records and evidence, including records of processing, decision logs, assessments, and remediation tracking.
  • Oversee relevant data-protection registrations, regulatory filings, and other required local privacy arrangements.
  • Serve as an appropriate point of contact for data subjects and regulators.
  • Coordinate local privacy counsel and integrate country-specific requirements into Digital Green’s global approach.
  • Provide independent advice to leadership on material privacy and data-governance risks, monitor implementation of agreed actions, and escalate material gaps where appropriate.
  • Review, draft, and negotiate contracts in their entirety, including partnership agreements, technology and vendor contracts, grants and subawards, research agreements, memoranda of understanding, and other commercial arrangements.
  • Advise on liability, indemnities, intellectual property, confidentiality, publication rights, termination, compliance obligations, and other material legal terms.
  • Draft and review data-processing agreements, data-sharing agreements, privacy addenda, cross-border transfer provisions, and data and artificial-intelligence clauses.
  • Develop and maintain practical templates, standard clauses, fallback positions, and contract-review playbooks.
  • Advise teams on legal issues involving technology, intellectual property, research, partnerships, grants, and new operating models.
  • Support the Chief Operating Officer on selected cross-border and new-country matters, including regulatory registrations, operating structures, contracting, partnerships, and coordination with local counsel.
  • Identify matters requiring specialized employment, tax, corporate, litigation, or local-law advice and coordinate external counsel as needed.
Desired Qualifications
  • Experience with artificial intelligence, machine learning, large language models, or responsible-artificial-intelligence governance is preferred.
  • Experience in international development, nonprofits, agriculture, research, health, or another mission-driven field is preferred.
  • Familiarity with data-protection laws in several of Digital Green’s key jurisdictions is preferred.
  • Experience with intellectual property, technology transactions, grants, research agreements, or cross-border partnerships is preferred.
  • Experience establishing or significantly improving a privacy program in a lean organization is preferred.
  • A relevant privacy certification is preferred.

About the company

Digital Green organizes and supports local farming networks and agronomy resources to give practical, actionable farming advice to smallholder farmers in their own languages. The product works by connecting farmers with local agronomists and extension workers, collecting field data and context, and using AI to translate and tailor recommendations to each farmer’s crop, season, and situation. Advice is delivered through accessible channels and in the farmer’s language, enabling real-time or timely guidance. The company stands out by tying together community networks, on-the-ground agronomy expertise, and AI-driven personalization, rather than relying on a single channel or generic content. The goal is to boost farm productivity and livelihoods by making expert guidance easy to understand and use for farmers with limited resources.

Company Size

51-200

Company Stage

Grant

Total Funding

$1.3M

Headquarters

San Francisco, California

Founded

2008

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Simplify's Take

What believers are saying

  • Gates Foundation committed $1.95 million in August 2026 for agriculture and financial inclusion.
  • June 2026 usage reached 8M answers, and 70% of active users applied advice.
  • Brand refresh and new website in June 2026 signal expanded fundraising and hiring momentum.

What critics are saying

  • OpenAI integration risk: Microsoft and OpenAI can raise prices or change APIs in 2027.
  • Grant dependence is acute; $1.95 million covers 35 months, not durable self-funding.
  • Local ministries can copy validated content and bypass Digital Green by 2028.

What makes Digital Green unique

  • Since 2008, Digital Green built farmer-grounded video libraries and localized advisory workflows.
  • June 2026 FarmerChat serves 1.6M farmers across six countries in 16 languages.
  • Microsoft and OpenAI partnerships give Digital Green multimodal AI, Azure, and distribution.

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Benefits

  • Remote Work Options

Growth & Insights and Company News

6 month growth

-2%

1 year growth

0%

2 year growth

0%
Techish
Nov 18th, 2025
Microsoft is teaching AI to speak Dholuo and Kikuyu, Starting with Kenyan Farmers

Microsoft is teaching AI to speak Dholuo and Kikuyu, starting with Kenyan farmers. Generative AI has a language problem. While models like GPT-4 are proficient in English, their performance drops off a cliff when tasked with low-resource languages or cultural nuances specific to the "global majority" - the projected 85 percent of the world's population that lives outside the West. The issue isn't just translation; it's that the underlying training data simply doesn't exist for many communities. Microsoft is attempting to solve this infrastructure gap with a new initiative called Project Gecko. Led by Microsoft Research Africa in Nairobi, alongside teams in India and the US, the project is building Small Language Models (SLMs) designed to run on low-cost devices, specifically tailored for local needs. The project is starting with agriculture in Kenya and India, debuting a new multimodal AI agent that can watch videos, listen to vernacular speech, and answer farmers' questions with verified accuracy. The "hallucination" Problem in farming. The core problem Project Gecko aims to solve is the disconnect between generic AI models and on-the-ground reality. If a smallholder farmer in Nyeri asks a standard LLM about crop diseases in Kikuyu, the model might hallucinate an answer or provide advice relevant to US industrial farming, not local soil contexts. To fix this, Microsoft has partnered with Digital Green, a global development organization that maintains a library of over 10,000 agricultural videos in more than 40 languages. Previously, this data was siloed and hard to search. Project Gecko processes this data using a new system called the MultiModal Critical Thinking Agent (MMCTAgent). Unlike a standard chatbot that just predicts the next word in a sentence, the MMCTAgent analyzes speech, images, and video content simultaneously. When a farmer asks a question, the agent doesn't just generate text; it reasons across the available media and retrieves the specific video timestamp where the solution is demonstrated. For example, a farmer can ask a verbal question in Kikuyu. The system processes the audio, finds the relevant visual answer in Digital Green's database, and responds with text, audio, and a video clip. Microsoft says field studies in Kenya and India showed this method significantly improved user trust compared to generic AI, largely because the AI "shows its work" by grounding answers in real video content rather than abstract training data. Small models and local data. The technical backbone of Project Gecko relies on Small Language Models (SLMs) rather than massive, cloud-heavy LLMs. There are two reasons for this. First, internet bandwidth and device capabilities in rural Kenya are limited; SLMs require less computing power. Second, existing large datasets for languages like Kalenjin or Maa are virtually non-existent, making it impossible to train massive models effectively. The Project Gecko team had to build the tools for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) from scratch. They compiled a dataset of 3,000 hours of crowd-sourced Kenyan speech to train and fine-tune these models. Currently, the system supports Swahili, Kalenjin, Dholuo, Maa, Kikuyu, and Somali. "Agriculture has very specific terms, which may change from language to language, and even district to district," says Tanuja Ganu, Director of Research Engineering at Microsoft India. "All those domain-specific nuances need to be understood." Open source and future plans. Microsoft is positioning this as a foundation for broader application, not just a proprietary tool. The MMCTAgent is available now on Azure AI Foundry Labs, and the code has been open-sourced on GitHub. The company is also creating a public leaderboard to benchmark how well AI models perform in African languages, attempting to create a standard for accuracy that currently doesn't exist. While agriculture is the test bed due to its economic importance in Kenya - where it contributes significantly to GDP - Microsoft plans to replicate this "design pattern" for healthcare and education. The idea is to create a playbook for developers to build domain-specific AI tools that don't rely on Silicon Valley-centric data. The team is currently using insights from 130 farmers to refine features like clarifying questions and peer-to-peer knowledge sharing. "Building AI systems from the ground up shaped by the knowledge, languages, and modalities of the global majority yields more innovative, useful solutions for a great number of people," says Ashley Llorens, VP and Managing Director of the Microsoft Research Accelerator. For now, the focus remains on proving that a farmer in Nyeri can get an answer as accurate as a software engineer in Seattle.

Innovation Village
Sep 24th, 2024
Meta Announces 2023 Llama Impact Grants and Innovation Award Winners

In collaboration with One Acre Fund, Digital Green will develop a groundbreaking AI project, Farmer Chat, aimed at supporting small-scale farmers in underserved areas of Sub-Saharan Africa.

ComDev Asia
Dec 28th, 2023
FAO, Digital Green, UPLB CDC release Participatory Video guide

The Food and Agriculture Organization (FAO), Digital Green, and the University of the Philippines Los Baños College of Development Communication (UPLB CDC) have released recently Participatory video in agrifood systems and digital environments: A practitioner's guide.

International Potato Center
Nov 9th, 2023
Revolutionizing Rice Fields: Sustainable Intensification Through Potato Farming Innovations

Under the support of Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, the International Potato Center (CIP) in collaboration with Digital Green and other partners has embarked on a mission to promote Conservation Agriculture and enhance Climate Resilience.

Analytics India Magazine
Jun 13th, 2023
In Agriculture, Generative AI Use Cases Crop Up Bountifully

Digital Green, a global development organisation has joined forces with generative AI startup Gooey.AI to introduce Farmer.CHAT, an innovative solution aimed at addressing the challenges faced by farmers who are at the forefront of climate change and water security issues.