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Salary
≈ $14k – $31k per year (Estimated)
Location
In office (Pune)
Seniority
Middle · 3+ years exp

First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
Easily verify individuals and businesses with ZOOP APIs and SDKs. Improve user onboarding, ensure compliance, prevent fraud, and streamline processes across industries.

Product Manager - Intelligence & Data Solutions

We are building an intelligence platform where data, analytics and decision-making solutions come together to solve complex business problems. We are looking for a Product Manager who can operate at the intersection of Product, Data, Analytics and Business - turning complex datasets and analytical frameworks into scalable, enterprise-grade products.

What You'll Own

1. Intelligence Product Strategy:

- Own the roadmap for data-driven intelligence products across observability, diagnostics and forecasting.

- Translate business problems into scalable product capabilities, analytical frameworks and repeatable solutions.

- Prioritise initiatives based on customer impact, commercial potential, scalability and data feasibility.

2. Data & Analytical Foundations:

- Work with Data, Engineering and Data Science teams to identify and structure datasets and signals for product use.

- Define metrics, taxonomies, derived attributes, transformations and analytical logic.

- Ensure data quality, coverage, validation and methodology are robust and defensible.

- Challenge assumptions around data, metrics and analytical outputs.

3. Problem - Product:

- Work with customers and business stakeholders to identify recurring problems and decision-making needs.

- Convert ambiguous requirements into structured product and analytical solutions.

- Distinguish scalable product capabilities from one-off analysis or custom requests.

- Build configurable solutions within a defined product framework.

4. Product Experience & Delivery:

- Define requirements for dashboards, analytical tools, reports and decision-support workflows.

- Shape how users interact with metrics, models, dimensions, filters and time-based insights.

- Partner with Design and Engineering to build intuitive analytical experiences.

- Track adoption, engagement, data quality and business impact to continuously improve the product.

5. Discovery & Commercialisation:

- Participate in customer discovery, solution discussions and product demonstrations.

- Identify opportunities for new products, datasets and solution modules.

- Work with Sales, KAMs and leadership to translate market needs into product opportunities.

- Support GTM teams with product narratives, use cases and demonstrations.

What We're Looking For:

- Experience building or managing data-intensive products, analytics solutions, SaaS products or intelligence platforms.

- Strong analytical thinking and structured problem-solving ability.

- Comfort working with large, multi-dimensional datasets.

- Good understanding of analytics/BI, statistical reasoning and AI/ML concepts.

- Ability to understand data deeply and challenge assumptions around metrics, transformations, coverage and analytical logic.

- Strong product sense with the ability to balance customer needs, technical feasibility, data complexity and commercial impact.

- Experience working cross-functionally with Engineering, Data Science, Analytics, Sales and Business teams.

- Ability to independently own the journey from problem definition - solution design - execution - adoption.

What Will Set You Apart:

- Experience in enterprise analytics, fintech, SaaS, geospatial intelligence, market intelligence, credit or other data-heavy domains.

- Experience building products involving market intelligence, segmentation, scoring, forecasting, benchmarking or opportunity identification.

- Strong SQL skills and ability to independently explore datasets.

- Strong understanding of how to turn fragmented or noisy data into meaningful signals.

- Ability to move fluidly between customer problem, analytical framework, data requirement and product experience.

What This Role Is Not:

- Not a feature factory or backlog-management role.

- Not project management alone.

- Not visualization-only analytics.

- Not pure Data Science or Data Engineering.

- Not focused solely on building the underlying data platform.

- Not about turning every customer request into a bespoke solution.

- The core responsibility is to own the solution layer - turning data and intelligence capabilities into scalable products that help businesses make better decisions.

Skills

IT Product Management, Business Intelligence, IT Product Strategy

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