AI Powered Feature Development Lead

4 days ago

Bengaluru, Karnataka, India beBeeProduct Full time ₹ 90,00,000 - ₹ 1,20,00,000
About the Job

We are seeking a seasoned Product Manager to spearhead the development of our cutting-edge AI-powered features. As a vital member of our team, you will be responsible for crafting and executing the product strategy, working closely with cross-functional teams to design, build, and launch innovative new features.

Key Responsibilities

  • Define and own the AI product strategy and measurable outcomes for recovery, accuracy, and time-to-value across enterprise accounts.
  • Translate market and customer signals into a prioritized roadmap with clear trade-offs.
  • Run deep discovery with Fortune 1000 stakeholders and analysts to map jobs-to-be-done, decision points, and data realities.
  • Validate problems and solutions with prototypes and pilot metrics before committing engineering resources.
  • Lead cross-functional squads to ship high-quality increments on a predictable cadence.
  • Write crisp PRDs, acceptance criteria, and instrument the product for analytics/telemetry.
  • Drive integrations and partner workflows with clear APIs and data contracts.

Aim of the Role

The objective of this role is to transform ambiguous customer pain into shipped, secure, and measurable AI features that enterprise customers love and finance leaders trust.

Success Metrics

  • 30 days: Understand domain and data flows; publish product health baseline; ship a small improvement (e.g., analyst UX, cost reduction).
  • 60 days: Deliver a validated AI feature MVP (e.g., improved clause extraction or anomaly ranking) to a pilot customer with a signed success plan.
  • 90 days: Hit agreed accuracy + adoption targets; publish a 2-quarter roadmap tied to revenue and recovery dollars; formalize AI evaluation & monitoring dashboards.

Requirements

  • 5+ years in product management with at least 1 year of shipping AI/ML-powered features in production.
  • Track record in B2B enterprise SaaS with complex data and security needs.
  • Strong discovery and storytelling skills: can turn messy datasets and ops realities into a clear product narrative and roadmap.
  • Technical depth to partner with DS/ML/Engineering understands evaluation metrics, A/B testing, data pipelines, API design, and basics of SQL/Python.
  • Analytics-first: habit of instrumenting funnels, defining guardrails, and making decisions from dashboards and user studies.

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