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Digital Green

AI-powered agricultural advisory for smallholders

Head of Product Operations

Product ManagementConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in Product Operations, product/program management, product delivery, Chief of Staff, or a comparable operating role in a technology environment.
  • Strong experience working with senior Product and Engineering leaders.
  • Demonstrated ability to build practical processes and improve ways of working in fast-changing organizations.
  • Strong judgment about when structure is useful and when it becomes unnecessary process.
  • Excellent stakeholder-management and facilitation skills, with the ability to move work forward through influence rather than formal authority.
  • Excellent written and verbal communication and the ability to synthesize complex information clearly.
  • Strong ownership, organization, and follow-through.
  • Familiarity with product roadmaps, OKRs, user research, experimentation, and modern Product/Engineering workflows.

Responsibilities

  • Build and maintain clear, lightweight ways of working across Product, Engineering, Tech/AI, Design, Research, Growth, and other teams.
  • Run the core operating cadence, including planning, stage reviews, decision forums, and cross-functional meetings.
  • Maintain a reliable source of truth for priorities, roadmap status, key decisions, risks, dependencies, and open questions.
  • Track progress proactively, surface blockers early, and ensure decisions and follow-ups move to closure.
  • Improve ways of working over time by introducing enough structure to create clarity and predictability without unnecessary bureaucracy.
  • Coordinate the process for bringing together signals from Product, Research, Growth and Data, Design, Country Teams, Strategy, Legal, and other relevant functions.
  • Ensure the right stakeholder perspectives are brought into the process at the appropriate points.
  • Prepare decision-ready materials that synthesize inputs, trade-offs, evidence, and open questions for Product leadership.
  • Make priorities, assumptions, and decision rationale visible and understandable across the organization.
  • Help move work from early signals and prototypes through product definition, engineering, beta, and production.
  • Coordinate stakeholder input and review at appropriate lifecycle stages, ensuring decisions, risks, dependencies, and open questions are clear before work advances.
  • Ensure product requirements, design, success measures, dependencies, and risks are sufficiently clear before work enters Engineering.
  • Establish clear handoffs and ways of working with Engineering as initiatives move from product definition into build, testing, beta, and release.
  • Work closely with the Engineering delivery counterpart to maintain a shared view of scope, readiness, dependencies, timelines, and unresolved issues.
  • Track feedback and decisions so teams understand what was included, deferred, or changed and why.
  • Coordinate beta and production-readiness processes and ensure learning feeds back into future product work.
  • Build trusted relationships with leaders and key stakeholder groups across the organization so Product can work effectively across functions and surface issues early.
  • Create a predictable rhythm of clear product updates for leadership and the broader organization.
  • Translate complex Product and Engineering work into language that different teams can understand and act on.
  • Ensure key decisions, changes, and trade-offs are communicated clearly, and close the loop with stakeholders after important decisions.
  • Reduce the time teams spend reconstructing past decisions, chasing information, or working from different versions of the truth.

Desired Qualifications

  • Experience in AI/ML, data-intensive, or rapidly scaling digital products.
  • Experience working across multiple countries, cultures, or operating environments.
  • Exposure to agriculture, global development, or products designed for underserved users.

About the Company

Digital Green

AI-powered agricultural advisory for smallholders

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, CA
Founded
2008

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