The Product Manager will own IDinsight’s internal roadmap for accelerating and disrupting our work by leveraging AI, while contributing to external advisory engagements that help our partners do the same. The Product Manager will scope, build, and deploy AI-powered products that change how IDinsight and our partners deliver our core services. The role blends product management, user research, and technical coordination to ensure we're building the right things, shipping them fast, and generating real impact.
Key Responsibilities
- User Research: Conduct user research with internal and external teams to understand workflows and pain points, and prioritize where AI can deliver step-change improvements.
- Product Definition: Define problem statements and translate user needs into actionable product specifications.
- Technical Deployment: Work with data scientists and engineers to scope, build, and deploy bespoke tools, applying agile principles to ship fast and kill what doesn't work.
- Advisory & Proposals: Scope the product and technical components of external AI advisory engagements, including contributing to proposals and coordinating delivery.
- Impact Tracking: Track efficiency gains from deployed tools with hard metrics like hours saved, tasks automated, cycle time reductions, and iterating based on usage data and feedback.
- Documentation: Create playbooks and documentation that other teams can replicate.
- Communication: Synthesize, visualize, and communicate results through dashboards, plots, interactive viz, presentations, and reports.
Required Technical Qualifications
- Minimum 5 years of relevant professional experience, including at least 3 years in a Product Manager, Technical PM, or product-oriented consulting role focused on digital products or AI/data solutions.
- Strong working knowledge of advanced data science and AI concepts (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.
- Experience conducting user research, translating fuzzy problems into clear solutions, defining problem statements, and validating assumptions through interviews and data.
- Proficiency in applying agile principles to manage product development like sprint planning, backlog prioritization, retrospectives, and stakeholder communication.
- 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.
How to Apply
Interested and qualified candidates should apply online via the IDinsight recruitment portal on BambooHR. Go to IDinsight on idinsight.bamboohr.com to apply or use the application link: Apply Here.
