This position is with EAII Advisors, Evidence Action’s technical partner in India.
About EAII
EAII Advisors, Evidence Action’s technical partner in India, supports state governments in delivering evidence-based public health programs, including safe drinking water initiatives and school and Anganwadi-based National Deworming Day and iron and folic acid supplementation. Operating across 10 states, EAII Advisors provides technical assistance to ministries of health, education, water, and women and child development, reducing health burdens in impoverished communities and improving the long-term wellbeing of children and families.
For more information, read about our work here: About Evidence Action and EAII
About Evidence Action
At Evidence Action, we deliver data-driven interventions that transform lives at an unprecedented scale. We identify neglected global health issues and deploy proven solutions, forging healthier futures for generations.
Our model operationalizes leading academic research (including from Nobel-winning economists). We measure progress and outcomes at every stage to ensure we’re making a real impact for people living in poverty and suffering from preventable or treatable health issues. Operating across 11 countries, our team of 900+ has reached over 500 million people, working closely with governments to scale these interventions.
- Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm prevalence and generating more than $23 billion in lifetime productivity gains.
- Through Safe Water Now, we’ve saved the lives of over 15,000 children.
- Our Accelerator explores untapped opportunities in global health, testing low-cost interventions with the greatest potential to save and improve lives.
At Evidence Action, your colleagues are your greatest asset. You'll partner with high-caliber colleagues in an environment blending innovation, autonomy, and teamwork. Our team excels in disruptive thinking and believes in rolling up our sleeves to get things done. If you're looking to work flexibly and with purpose, join a team that delivers measurable change for millions.
The Role
Join EAII as the Product Lead for our AI/ML transformation. As the Product Lead, you will own the product side of our AI agenda: leading the launch and execution of multiple AI-powered projects across our nutrition and safe water programs, and developing products that accelerate poverty reduction for millions of people.
You’ll pressure test our AI/ML ideas, scope and discover new use cases, build prototypes, and rightsize ambition – then manage external engineering partners to turn validated concepts into deployed products. You’ll spearhead 0-to-1 execution where success means people in the field are actually using and benefitting from what you built. You’ll learn by shipping in a fast-paced, mission-driven environment.
Responsibilities
Scope and Prototype high-impact AI/ML products (45%)
- Drive discovery and prioritization of high-impact use cases across nutrition and safe water programs, setting realistic timelines and budgets and defining technical and non-technical success metrics.
- Lead the planning, execution, and delivery of multiple concurrent ML/AI products from conception to launch, including scope definition, requirements gathering, and hands-on prototyping through proofs-of-concept and MVPs.
Manage end-to-end development and engineering partners (45%)
- Deliver ML/AI projects end-to-end by managing external engineering teams, translating validated prototypes into technical specifications and production-grade software.
- Oversee vendor/technical partner selection, contracting, and performance, ensuring timely delivery, quality standards, and risk mitigation.
Drive strategy and cross-functional leadership (10%)
- Partner with cross-functional program teams, data analysts, field staff, and AI Champions to design AI strategy that balances technical feasibility with organizational ambition and field constraints—positioning pilots for government adoption at scale.
- Build internal capability by enabling operations teams to sustain and scale AI products post-launch.
Requirements
Essential
- You hold a bachelor’s degree in computer science, engineering, data science, or a related technical field
- You have 5+ years of product or program management experience, with a comprehensive understanding of the software development lifecycle from inception through launch and maintenance for production-grade software
- You have proven experience in technical product management within the ML/AI software development domain
- You communicate with clarity and precision in writing and in conversation, across technical and non-technical audiences
Desirable
- You bring a deep understanding of AI/ML development, including model training, validation, deployment, monitoring, and ongoing risk management in low-resource production environments
- You have hands-on experience across multiple AI domains such as computer vision, NLP/text processing, predictive analytics, or geospatial analysis
- You have a track record of working with AI/ML service providers, managing contracts, and setting clear expectations with external vendors
- You can collaborate with teammates cross-departmentally, bridging technical and non-technical teams while adhering to organizational norms and policies
- You understand government compliance requirements, data privacy regulations, and ethical AI frameworks relevant to public-sector deployments
- You are energized by working on complex projects in global contexts, coordinating across cross-cutting functions in a matrixed environment
- You are comfortable with ambiguity and rapid iteration, able to make educated guesses, manage expectations, and navigate senior stakeholders with discretion
- You are deeply committed to, and curious about, using technology for social good and creating measurable impact at scale
Disclaimer: The job description provided above is a general outline of the typical responsibilities and requirements for the role. It may be modified or expanded based on the specific needs and structure of the organization.
Position Location
This role is based at New Delhi, India.
We are unable to sponsor or take over sponsorship of an Indian employment visa at this time. Applicants must be legally authorized to work in India for roles based in India.
Benefits
EAII provides a comprehensive benefits package for employees. Benefits include:
- Comprehensive health insurance with IPD and OPD provisions
- Life and Accidental insurance
- PF, ESIC and Gratuity as per statutory requirements
- Generous leave
- Mental and physical well-being benefits
- Avenues for engagement and recognition
Compensation: Competitive and commensurate with the individual's credentials, experience, and previous pay scale.
All contracting arrangements will be made through EAII Advisors Private Limited. EAII is an equal opportunity employer. Employment at EAII is based solely on an individual's merit and qualifications directly related to professional competence. EAII does not discriminate against any employee or applicant because of race, caste, creed, colour, religion, gender, origin, disability, marital status, or any other basis protected by law.
Note: This role will be open for applications until 23 July 2026 . Please apply at your earliest convenience. We may close this search earlier than the specified date if we find the right fit. Due to the volume of applications received, we will only be able to contact shortlisted candidates.
Skills Required
- Bachelor's degree in computer science, engineering, data science, or related technical field
- 5+ years of product or program management experience with comprehensive understanding of the software development lifecycle for production-grade software
- Proven experience in technical product management within the ML/AI software development domain
- Clear and precise written and verbal communication across technical and non-technical audiences
- Deep understanding of AI/ML development lifecycle including model training, validation, deployment, monitoring, and risk management in low-resource production environments
- Hands-on experience across AI domains such as computer vision, NLP/text processing, predictive analytics, or geospatial analysis
- Experience working with AI/ML service providers, managing contracts, and setting expectations with external vendors
- Knowledge of government compliance, data privacy regulations, and ethical AI frameworks for public-sector deployments
- Ability to collaborate cross-departmentally in matrixed environments and enable operations teams to sustain solutions
- Comfort with ambiguity, rapid iteration, and managing senior stakeholders
- Commitment to using technology for social good and creating measurable impact at scale
What We Do
Evidence Action is a global non-profit operating in seven countries in Africa and Asia. We were founded in 2013 to address a big gap in the fight against global poverty–many of the most promising interventions are either implemented at a very small scale, or not at all. We set out to address this gap by building programs that would scale evidence-based and cost-effective interventions, leading to significant improvements in quality of life for hundreds of millions. Our model worked. In less than a decade, our two flagship programs, the Deworm the World Initiative and Dispensers for Safe Water, have grown to measurably impact over 280 million people each year by supporting governments to deworm and through our last-mile delivery network providing safe water access. This success is achieved through the dedication and talent of our staff, the hard work of our partners, and the commitment of our supporters. Every part of our work across the lifecycle of our programs is driven by evidence. This starts with the interventions we select to invest in, and continues as we use real-time data to refine and adapt our operations, including responding rapidly and effectively to resolve challenges as they arise. Our pursuit of cost-effectiveness is driven by a recognition that when we optimize every aspect of our programs, we can reach as many people–and do as much good– as possible with each dollar. We measure value for money in terms of the number of lives we can help improve. Scale enables our massive impact. We invest in solutions for which the need is great, and leverage existing networks like schools or community organizations to grow rapidly, minimize costs, and increase efficiencies. We think big and act urgently–because poverty does not wait. By 2024, we seek to double our impact. We are strengthening and expanding our existing programs, and working to identify a new generation of evidence-based and cost-effective interventions that we can scale to reach millions more
