Manager - Impact

The role

As a Manager (or Associate, depending on experience) you will lead the identification, design, and delivery of interventions that improve outcomes for smallholder farmers and their communities. You will also manage and develop a small team of analysts. In practice, that means:

• Identifying and evaluating opportunities to fund and/or build in the agricultural sector — assessing ROI, risk, and feasibility of candidate interventions across precision agriculture, sustainable livelihoods, carbon sequestration, microfinance, and related areas
• Designing programs from start to finish: implementation planning, partner negotiation, pilot design, and coordinating across internal and external stakeholders
• Tracking results, evaluating impact, and iterating
• Managing and developing junior members of the team, remotely and across cultures
• Building and maintaining relationships with external partners and stakeholders in the private sector and government, to enable the growth and smooth delivery of work
• Spending time at origin, in smallholder communities across Sub-Saharan Africa, Latin America, or Asia — to stay close to the work and the people it is designed to serve

What we’re looking for

We’ve hired people from McKinsey, from tech, from trading floors — what they share is intellectual rigor, operational drive, speed of execution and a genuine reason for being in this sector.

You likely have 6-12 years of experience, including:

• At least 3 years in strategy consulting or finance/PE, including some at Project Leader or Engagement Manager level — or equivalent experience in high-intensity environments that combine design, finance, and client management
• 2+ additional years of experience in industry, ideally in tech firms, VC-backed start-ups, or impact investing — or bringing relevant content expertise such as agritech, agriscience, climate tech, or carbon sequestration
• A university degree in science or engineering (preferred)
• Strong quantitative and analytical skills; familiarity with large datasets; knowledge of basic statistics and the scientific method; comfort with R, Python, or similar tools (including the ability to use AI tools to code and analyze/automate). A background in scientific research is an advantage
• Proven ability to manage client and stakeholder relationships, and to communicate complex problems clearly and succinctly — whether in a results deck, a client meeting, or a conversation in the field with the community
• Experience managing a team, including remotely and across cultures, to deliver on ambitious objectives

And equally:

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