Technical Product Manager

Jobgether; India; Remote; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Fully remote work arrangement

Flexible working hours

High autonomy and minimal hierarchy

Global partner network

Job summary

Jobgether is partnering with a mission-driven team to recruit a Technical Product Manager based in India. You will lead end-to-end product engagements with nonprofit partners, translating complex needs into actionable roadmaps and technical solutions.

The role blends partner management with hands-on product development, data analytics, and engineering delivery. You will collaborate with engineers and nonprofit teams to build dashboards, data pipelines, AI evaluations, and production APIs, while

Qualifications

• At least 5 years in technical product management, solutions engineering, or technology consulting.
• Hands-on experience shipping AI/LLM product features, data pipelines, or production APIs.
• Ability to write and interpret SQL queries, navigate codebases, build data pipelines, and develop dashboards.
• Experience with quantitative and qualitative methods, and OBA testing or causal inference.
• Agile delivery: sprint planning, backlog refinement, estimation, retrospectives.
• Stakeholder management across engineers, scientists, and nonprofit teams without formal authority.
• Communication and leadership to explain technical concepts and mentor others.
• Familiarity with tools like ODK, DHIS2, Kobo, Metabase, dbt; MEL/RCT exposure is a plus.
• Product scaling using data-driven approaches; Generative AI knowledge is a plus.
• Mission-driven experience in low-resource or international development contexts.
• Willingness to work remotely from an eligible location in India/South Asia.

Responsibilities

• Lead engagements with 3–4 nonprofit partners, guiding discovery and collaboration opportunities.
• Translate partner needs into strategic roadmaps and technical guidance on data and AI solutions.
• Build and deliver dashboards, data pipelines, AI evaluations, and production APIs in collaborations with engineers.
• Drive engineering execution: define requirements, manage backlogs, and coordinate sprints.
• Own the product lifecycle from discovery to shipping features and optimization.
• Strengthen partner capabilities through coaching and staff development.
• Mentor fellows on partner relationships and engagements in resource-constrained environments.
• Share knowledge and develop reusable engagement frameworks across the network.
• Deliver measurable outcomes within 90 days and scale across 3–4 engagements in a year.

Skills

Technical leadership

Agile delivery

Data analysis

SQL proficiency

Product roadmapping

Stakeholder management

Experimentation & A/B testing

Communication & mentorship

Generative AI experience

Global development tech

Tools

ODK

DHIS2

Kobo

Metabase

dbt

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Manager based in India.

Join a mission-driven, globally distributed team using technology to expand human agency and strengthen evidence-based nonprofit initiatives. As a Technical Product Manager, you will work directly with 3-4 nonprofit partners at a time, transforming their operational challenges into practical product strategies and technical solutions. You will combine partner relationship management with hands-on product development, data analysis, experimentation, and engineering delivery. Working closely with engineers and nonprofit teams, you will turn complex needs into actionable roadmaps and measurable improvements. You will also mentor emerging talent, strengthen technical capabilities within partner organizations, and help develop reusable frameworks that benefit the wider sector. This remote, high-autonomy role offers the opportunity to deliver meaningful results while helping shape how technology-driven social impact initiatives scale.

Accountabilities:

You will lead end-to-end product engagements with nonprofit partners while driving technical execution, developing organizational capabilities, and sharing learnings across the wider network.

• Lead partner engagements: Serve as the primary point of contact for 3-4 nonprofit partners, building trusted relationships, conducting structured discovery, identifying challenges, and defining opportunities for collaboration.

• Translate needs into product strategies: Develop roadmaps and provide technical guidance on product development, data infrastructure, evaluation, and experimentation.

• Build and deliver technical solutions: Work hands-on with partner platforms to create dashboards, develop data pipelines, integrate AI evaluations and production APIs, analyze trends, conduct user research, and run A/B tests.

• Drive engineering execution: Translate complex workflows into clear technical requirements, manage product backlogs, facilitate agile sprints, and coordinate delivery with engineering teams.

• Own the product lifecycle: Manage the process from identifying partner needs to shipping features, gathering feedback, and improving solutions based on results.

• Strengthen partner capabilities: Coach nonprofit staff, support the development of their technical and leadership skills, and help recruit for critical positions.

• Mentor emerging talent: Guide fellows in managing partner relationships, structuring engagements, and working effectively in resource-constrained environments.

• Share knowledge and improve processes: Document successful approaches, develop engagement frameworks, identify patterns across organizations, and contribute lessons learned to reusable public resources.

• Deliver measurable outcomes: Within the first 90 days, independently manage at least two partner engagements and deliver an initial improvement, such as an experiment, feature, or dashboard. Within the first year, lead 3-4 engagements end-to-end and help train others.

Requirements:

You are a technically hands-on product leader who combines strong delivery skills with analytical thinking, stakeholder management, and a commitment to meaningful social impact.

• Relevant experience: At least 5 years of experience in technical product management, solutions engineering, or technology consulting, ideally combining client-facing and engineering-facing responsibilities.

• Hands-on technical expertise: Demonstrated experience building and shipping AI or LLM product features, data pipelines or warehouses, and production APIs, with direct involvement in implementation rather than management alone.

• Data and development skills: Ability to write and interpret SQL queries, navigate codebases, build data pipelines, and develop dashboards.

• Research and experimentation: Experience applying quantitative and qualitative methods to define problems, measure outcomes, support causal inference through A/B testing, or develop predictive analytics. You should be able to design studies, interpret results, and communicate findings to nontechnical stakeholders.

• Agile delivery: Strong command of sprint planning, backlog refinement, estimation, and retrospectives, with the ability to maintain effective delivery processes in small, resource-constrained teams.

• Stakeholder management: Proven ability to balance competing priorities across engineers, behavioral scientists, and nonprofit program teams without relying on formal authority.

• Communication and leadership: Ability to build trust with diverse partners, explain technical concepts clearly, facilitate collaboration, and mentor colleagues and partner staff.

• Global development technology experience: Familiarity with tools such as ODK, DHIS2, Kobo, Metabase, dbt, or comparable data platforms is an advantage.

• Evidence-based development knowledge: Exposure to organizations and approaches associated with evidence-based development, including JPAL, IPA, IDinsight, randomized controlled trials (RCTs), or monitoring, evaluation, and learning (MEL), is a plus.

• Product scaling experience: A track record of using data-driven approaches to improve and scale products is desirable.

• Generative AI experience: Familiarity with AI product development, evaluation frameworks, prompt engineering, and LLM integrations is an advantage.

• Mission-driven experience: Previous work in low-resource environments, social impact initiatives, or technology for international development is a plus.

• Location and availability: Willingness to work remotely from an eligible location in Sub-Saharan Africa or South Asia, with flexibility across time zones.

Benefits:

• Fully remote work arrangement.

• Flexible working hours and time zones.

• High autonomy and minimal hierarchy, with the opportunity to take ownership of partner engagements and product delivery.

• Meaningful mission-driven work using technology, data, and experimentation to support nonprofit organizations and improve outcomes for the communities they serve.

• Opportunities to work across software engineering, AI, social psychology, development economics, and evidence-based program design.

• Professional growth through hands-on technical delivery, product strategy, stakeholder leadership, and mentoring.

• The opportunity to contribute to reusable tools, public resources, and frameworks that can benefit organizations across the wider sector.

• A collaborative international network spanning more than 200 partner organizations.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.