{"id":2085055,"url":"https://alion.io/job/zoop-product-manager","title":"Product Manager","company":{"id":417,"name":"ZOOP","domain":"quagga.in","url":"https://alion.io/company/zoop","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Product","role_family":"Product","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T11:48:04Z","employer_posted_date":null,"last_verified_at":"2026-10-08T11:48:04Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We're 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.\nThe candidate will have responsibilities across the following functions:\nIntelligence Product Strategy:\nOwn the roadmap for data-driven intelligence products across observability, diagnostics and forecasting.\nTranslate business problems into scalable product capabilities, analytical frameworks and repeatable solutions.\nPrioritise initiatives based on customer impact, commercial potential, scalability and data feasibility.\nData and Analytical Foundations:\nWork with Data, Engineering and Data Science teams to identify and structure datasets and signals for product use.\nDefine metrics, taxonomies, derived attributes, transformations and analytical logic.\nEnsure data quality, coverage, validation and methodology are robust and defensible.\nChallenge assumptions around data, metrics and analytical outputs.\nProblem Product:\nWork with customers and business stakeholders to identify recurring problems and decision-making needs.\nConvert ambiguous requirements into structured product and analytical solutions.\nDistinguish scalable product capabilities from one-off analysis or custom requests.\nBuild configurable solutions within a defined product framework.\nProduct Experience and Delivery:\nDefine requirements for dashboards, analytical tools, reports and decision-support workflows.\nShape how users interact with metrics, models, dimensions, filters and time-based insights\nPartner with Design and Engineering to build intuitive analytical experiences.\nTrack adoption, engagement, data quality and business impact to continuously improve the product.\nDiscovery and Commercialisation:\nParticipate in customer discovery, solution discussions and product demonstrations.\nIdentify opportunities for new products, datasets and solution modules.\nWork with Sales, KAMs and leadership to translate market needs into product opportunities.\nSupport GTM teams with product narratives, use cases and demonstrations.\nRequirements:\nExperience building or managing data-intensive products, analytics solutions, SaaS products or intelligence platforms.\nStrong analytical thinking and structured problem-solving ability.\nComfort working with large, multi-dimensional datasets.\nGood understanding of analytics/BI, statistical reasoning and AI/ML concepts.\nAbility to understand data deeply and challenge assumptions around metrics, transformations, coverage and analytical logic.\nStrong product sense with the ability to balance customer needs, technical feasibility, data complexity and commercial impact.\nExperience working cross-functionally with Engineering, Data Science, Analytics, Sales and Business teams.\nAbility to independently own the journey from problem definition, solution design, execution, and adoption.\nGood to Have:\nExperience in enterprise analytics, fintech, SaaS, geospatial intelligence, market intelligence, credit or other data-heavy domains.\nExperience building products involving market intelligence, segmentation, scoring, forecasting, benchmarking or opportunity identification.\nStrong SQL skills and ability to independently explore datasets.\nStrong understanding of how to turn fragmented or noisy data into meaningful signals.\nAbility to move fluidly between customer problem, analytical 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