Program Manager - Forecast Science & Policy (India)

Technical Translation.

Develop a working technical understanding of PxD's forecasting partners' methods, capabilities, and limitations (e.g., model uncertainty, forecast skill, data constraints), sufficient to explain, in plain language, why something can or cannot currently be delivered.

Internal & External Communication.

Synthesize and translate complex scientific findings — including forecast models, agronomic research, and MEL data — into clear, accessible materials for internal stakeholders, policymakers, practitioners, and general audiences.

Prepare reports, presentations, and policy briefs as needed.

Cross-Team Coordination.

Support structured, ongoing communication between PxD's technical/scientific partners and internal teams and government stakeholders, ensuring that technical constraints and possibilities are accurately reflected in program and policy conversations.

• At least 4 - 6 years of relevant work experience
• Bachelor's or Master's degree in a relevant field such as physics, mathematics/statistics, computational science, engineering, and/or economics with a quantitative focus; candidates with non-traditional backgrounds who combine strong quantitative training with experience in technical or scientific environments are encouraged to apply
• Strong foundational knowledge in quantitative and computational methods, with the ability to engage critically and constructively with forecast modeling scientists; familiarity with key concepts such as ensemble modeling, probabilistic forecasting, forecast skill metrics, and model uncertainties, whether from formal training or applied experience, is a plus
• Proficiency in Python or R required; experience with data pipelines, cloud-based workflows, or geospatial data tools (e.g., xarray, netCDF, GIS) is strongly preferred
• Experience working with or interpreting outputs from AI/ML-based models, and translating technical products into decision-relevant information for non-specialist audiences, is strongly preferred
• Strong ability to synthesize and communicate complex technical or scientific information for non-specialist audiences, including translating probabilistic or uncertain findings (e.g., forecast confidence intervals, model limitations) into language that supports rather than undermines confidence in decision-making
• Excellent written and oral communication skills in English; fluency in Hindi is preferred; proficiency in other languages is a plus
• Strong organizational skills and exceptional attention to detail; ability to manage multiple workstreams simultaneously
• Familiarity with climate adaptation, digital agriculture, and experimental economics is strongly desired
• Ability to work independently and handle multiple projects simultaneously
• Passion for impact and a strong sense of purpose aligned with PxD's mission to serve smallholder farmers. A collaborative attitude, resilience in the face of challenges, and a drive to continuously learn and innovate
• Willingness to travel domestically and internationally as needed

PxD is a rapidly scaling global non-profit that harnesses the power of technology, data science, and behavioral economics to provide targeted information to farmers in low and middle income countries.

Providing the right information to the right people, in the right way and at the right time, increases incomes, protects the environment, and improves well-being.

We are evidence-based: we test our interventions with randomized controlled trials to prove our impact and cost effectiveness, to simultaneously learn from and improve our service, and to demonstrate our value to funders and partners.

There are few programmes in international development that are as demonstrably cost effective as ours.

To apply, please visit the PxD website and use the online application form to submit a CV, cover letter, and brief responses to the screening questions.

The position will be reviewed on a rolling basis until the application deadline of October 6, 2026, 5 pm IST.

PxD is committed to building an inclusive and diverse organization.

We do not make decisions based on gender, gender identity, class, ethnicity, sexual orientation, or any other personal characteristics that are unrelated to the role.

We accommodate flexible working to make sure you are as productive and happy as you can be.

We will use any personal data you provide for recruitment purposes only.