Product Growth Manager

Follow us on Linkedin: NGOBOX India

About the Organization

IDinsight helps leaders combat poverty worldwide by designing, deploying and promoting evidence-generating tools. We tailor the best methodologies to partner needs and constraints to fuse evidence with action. We serve governments, NGOs, foundations and social businesses across Africa and Asia in all major program areas, including health, education, agriculture, livelihoods, finance, energy and governance.

Job Description

This is a 12-month contract (with the possibility of extension, depending on performance and organisational need) for a role dedicated to helping our products grow, strengthen, and mature. The role blends product strategy, partnership development, and funder engagement to ensure these tools reach the right audiences and remain financially sustainable.

On a typical day, the Product Growth Manager could be engaged in the following activities:

Building Partnerships

• Identify and reach out to potential partner organisations- NGOs, multilaterals, governments, and ecosystem enablers- and maintain a pipeline of leads.
• Run targeted outreach (eg: ads, webinars, virtual roadshows), schedule demos, lead product walkthroughs, and coordinate follow-up meetings.
• Develop external materials (e.g., pitch decks, one-pagers, case studies, product updates) tailored to different audiences.

Securing and diversifying product funding

• Identify opportunities for funded pilots, accelerator collaborations, and innovation challenges that can expand reach and support long-term sustainability.
• Represent our products in conversations with funders, accelerators, and partners- communicating the product’s value, technical capabilities, and practical constraints clearly and credibly.

Strengthening Product-Market Fit

• Identify which types of organisations are the strongest fit for each product by understanding their needs, workflows, and existing data or technology practices.
• Diagnose what slows or blocks adoption- for example, missing features, competing tools, unclear incentives, or operational constraints- and work with the product team to address these where appropriate.
• Work with Product Manager and tech leads to refine product positioning by clarifying the value proposition for different segments (governments, NGOs, multilaterals) and prioritising which groups to target first.
• Test different outreach, pricing, and engagement approaches (e.g., pilot offers, limited trials, pro-bono services) to understand what drives genuine interest and sustained use.
• Use these insights to develop a go-to-market plan for each product, outlining priority organisation types, entry points, pricing considerations, and high-value outreach channels.

Building IDinsight’s Long-Term Product Capability

• Research how similar AI-for-good or data products in the development sector scale and sustain themselves; identify growth and funding models that could realistically work for IDinsight’s products.
• Build dashboards or trackers that give the team visibility into product reach, learnings from pilots, partner interest and feedback, and growth experiments.
• Document what is being learned along the way so that future teams can repeat successful approaches, avoid past mistakes, and build a stronger product practice over time.

Education Qualification/Required Skills & Experience

• Minimum of 8+ years of relevant professional experience, including at least 4 years in a Product Manager, Growth Lead, or B2B/Enterprise consulting role focused on digital products.  
• Minimum 2+ years of experience with mission-driven or impact-focused organisations, with demonstrated ability to build partnerships, and navigate funding or procurement processes across NGOs, governments, multilaterals, or other impact-sector actors.
• Strong working knowledge of advanced data science and AI concepts relevant to DSEM products (e.g., LLMs, GenAI applications, ML algorithms), and the ability to translate technical capabilities to non-technical stakeholders. 
• Expert command of product analytics, growth experimentation (A/B testing), and proficiency in leveraging data platforms and pipeline concepts (e.g., SQL, Python) to define and track complex growth metrics.
• Well-versed with technical architecture, such as cloud platforms (AWS/GCP), data integration workflows, or deployment constraints, in order to credibly engage partners and funders.
• A bachelor’s degree in a quantitative or technical field such as Engineering, Computer Science, Applied Math, or Data Science.

Other required qualifications:

• Proven ability to work independently on ambiguous, multi-layered problems that involve both people and technology
• Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
• Strong values aligned with IDinsight’s stated values.
• Deeply passionate about evidence-informed policy, global development and improving lives in disadvantaged populations.
• Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
• Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.

Preferred Qualifications

The most competitive applicants will also have experience in one or more of the following:

• Experience living and working in developing country settings.
• Demonstrated ability to secure funding for technology-for-good initiatives, including grants, funded pilots, or innovation challenge awards.
• Experience applying advanced data science methods relevant to DSEM's focus, such as optimization, unsupervised learning, or working with specialized data types (e.g., GIS software like QGIS, satellite imager.

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