Enveritas Logo

Enveritas

Fellowship - Impact

Posted 9 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
Junior
In-Office or Remote
Hiring Remotely in United States
Junior
One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.
The summary above was generated by AI

Smallholder farmers grow most of the world’s coffee and cocoa, yet they remain largely invisible to the supply chains they support and rarely share in the value they create. Enveritas exists to change that.

Enveritas measures and assesses sustainability of production on farms, and builds solutions and interventions to make smallholder agriculture more sustainable and improve farmer livelihoods. Working across more than 20 countries, we combine machine learning, remote sensing, and rigorous fieldwork to understand supply chain sustainability and farmer livelihoods — and use that knowledge to design and run interventions that move the needle. We are a remote-first and dedicated team drawn from leading consultancies, tech companies, commodity traders, development organizations, and data science.

The fellowship

This is an opportunity to receive a crash course in the organization’s mission-driven, highly dynamic work to support smallholders. It is a one-year, full-time, embedded role working alongside our teams on the ground. For this demanding and formative year, we are looking for exceptional early career candidates with the drive to learn fast, tackle hard problems, and deliver measurable and meaningful impact.

The fellowship includes:

  • A base at origin, rotating between projects and countries in cycles. Potential locations include Africa (Uganda, Ethiopia, or Côte d’Ivoire), Latin America (potentially Guatemala or Honduras), South East Asia.
  • Housing and travel to country team locations
  • On-the-job training and close mentorship
  • Exposure to the full arc of impact work — from research and design through to implementation and evaluation
The role

You will support the identification, design, and delivery of interventions that improve outcomes for smallholder farmers and their communities. In practice, that means:

  • Researching and analyzing sustainability challenges and candidate interventions — assessing evidence, quantifying potential impact, and supporting decision-making
  • Supporting the design of initiatives: contributing to planning, pilot design, and partner engagement
  • Working in the field alongside farming communities, partners, and local teams to support program delivery
  • Monitoring and evaluating results, tracking progress against objectives, and surfacing insights that inform what comes next
  • Collaborating with the broader team — across data, technology, operations, and field teams

Enveritas will invest heavily in your growth through close mentorship from the team. 

What we’re looking for
  • Early-career candidates with exceptional academic record — recent graduates or those with up to a few years of experience
  • A degree in science, engineering, or a related quantitative field (preferred) — or a strong quantitative track record from another discipline
  • Strong analytical skills and comfort working with data; familiarity with basic statistics and the scientific method; exposure to R, Python, or similar is an advantage
  • The ability to structure problems and communicate clearly — in writing, in analysis, and in conversation
  • Some experience working in fast-paced, multicultural, or independent settings — academic, professional, or otherwise.
  • A ruthlessly positive attitude — the kind that lets you aim high, absorb setbacks, and keep moving when things don’t go to plan
  • Real appetite for fieldwork and genuine motivation to alleviate poverty
  • Language skills in our areas of operation an asset

We are looking to close recruitment of fellows by September 2026, but potential for flexibility in the start date (including earlier) depending on needs and availability.

Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We are a multicultural organization, we look to hire employees who reflect the communities we serve and we strongly encourage qualified candidates from all backgrounds to apply.​ We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings. 

Please apply here with your resume and supporting evidence demonstrating your fit to the requirements of the role and company (e.g. short cover letter, responses to application questions). 

Feel free to contact us at [email protected] should you have any questions about the position, the interview process, or if you require any adjustments to ensure a fair and equitable application process. Questions about this opportunity or process will not reflect negatively on your application.

A few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted on our Greenhouse board at https://boards.greenhouse.io/enveritas. All recruiting emails from Enveritas team members will come through Greenhouse or from @enveritas.org. If you have any concerns about employment opportunities or contact from someone supposedly representing Enveritas, please reach out to us at [email protected]

HQ

Enveritas New York, New York, USA Office

New York, NY, United States

Similar Jobs

85K-250K Annually
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Perform monthly commodity analyses for grains and vegetable oils using supply/demand data and market forecasts; build and manage market intelligence databases; develop and improve constraint-optimization price models and long-range forecasts; support CPRM hedging and coverage strategy decisions; track team KPIs and deliver insights to inform pricing and risk management.
Top Skills: Artificial IntelligenceExcelPythonR
An Hour Ago
Easy Apply
Remote
Easy Apply
Mid level
Mid level
Cloud • Security • Software • Cybersecurity • Automation
Build, ship, and maintain backend features enabling AI agents to interact with GitLab. Design GraphQL/REST APIs, extend tests (RSpec), work with PostgreSQL, troubleshoot production issues, and collaborate cross-functionally to integrate AI tooling responsibly.
Top Skills: Background JobsGitlabGraphQLPostgresRest ApisRspecRubyRuby On RailsSQL
An Hour Ago
Easy Apply
Remote
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.
Top Skills: Gitlab McpGraphQLPythonRestRspecRuby On RailsVue

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account