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Mid-level product role, popular title, metro location, and broad skills make applicant competition high.
Product-ops skills transfer across SaaS, but manufacturing domain and enterprise launch experience increase background sensitivity.
Explicit 5–8 years, required product-ops/analytics experience and SQL indicate moderately strict filters.
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Own KPI governance and metrics for product portfolio including telemetry, adoption analytics, and product-health dashboards to standardize success metrics.
Manage value-realization tracking to prove ROI for launched products at the customer level, influencing investment and stage-gate decisions.
Lead new product introduction launch mechanics, adoption health monitoring, root-cause diagnosis for adoption drops, and PM enablement focusing on AI-native methodologies.
5-8 years experience in product operations, product launch/go-to-market (GTM) operations, customer-success operations, or product analytics with ownership of at least two areas: launch, analytics, or adoption.
Hands-on experience launching products in a multi-SKU enterprise environment; experience with post-launch adoption involving Customer Success teams is a bonus.
Strong analytics skills including dashboard creation, SQL, and spreadsheet automation; ability to partner with data teams for self-serve analytics.
Location requirement: Pune-based with 3-4 days per week in-office collaboration (hybrid role).
Experienced in cross-functional diagnostics and able to facilitate and lead operational meetings involving diverse stakeholders.
Proven accountability in root-cause analysis and ability to direct solutions across product, Customer Success, and field deployment teams.
Comfortable with AI product evaluation concepts and integrating AI-native methodologies into product operations.