AI Product Management Senior Manager

7 days ago

Hyderabad, Telangana, India EXL SERVICES Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Senior Manager

Position Summary The Senior Manager, AI Product Management will lead the end-to-end strategy, planning, and delivery of AI/ML products and capabilities. This role is accountable for portfolio outcomes, cross-functional alignment, and adherence to responsible AI and compliance standards while mentoring a team of product managers.

Primary Responsibilities

  • Define the AI product strategy and roadmap aligned to business objectives and user needs.
  • Prioritize initiatives based on ROI, feasibility, data readiness, and risk.
  • Lead discovery, proof-of-concept and pilot initiatives, and general availability launches with clear stage gates.
  • Partner with Data Science and Engineering on model lifecycle, evaluation, performance (latency/cost), and reliability (SLA/SLO).
  • Establish robust observability: data and model drift, quality metrics, safety and hallucination monitoring, and feedback loops.
  • Ensure compliance with privacy, security, and regulatory requirements (e.g., PII, GDPR/CCPA, SOC 2, and domain-specific standards).
  • Drive cross-functional alignment with Design, Legal/Privacy/Security, Marketing, Sales, Customer Success, and Operations.
  • Manage and develop product managers; set objectives, provide coaching, and support career progression.
  • Lead go-to-market efforts including positioning, packaging, pricing, and field enablement.

Minimum Qualifications

  • 7–10+ years of product management experience, including 4+ years in AI/ML or data products and 2+ years managing product managers.
  • Demonstrated success delivering AI/ML or GenAI products at scale.
  • Proficiency in AI/ML concepts (LLMs, RAG, agents, evaluation) and MLOps practices.
  • Quantitative aptitude, including experiment design, metrics, and basic SQL; strong written and verbal communication.
  • Experience with privacy, security, and responsible AI practices.

Preferred Qualifications

  • Industry expertise in [e.g., financial services, healthcare, commerce, enterprise SaaS].
  • Familiarity with modern AI infrastructure (vector databases, orchestration frameworks, GPUs) and cost/latency optimization.
  • Experience with major cloud providers (AWS/GCP/Azure), data platforms (Snowflake/Databricks), and observability tools.
  • Exposure to safety testing, red teaming, and content moderation.
  • Advanced degree (MBA or technical field) preferred.

Key Performance Indicators

  • Business outcomes: revenue impact, conversion/retention, cost-to-serve, time-to-resolution.
  • Product performance: adoption, activation, satisfaction (CSAT/NPS).
  • AI quality: accuracy, hallucination rate, drift metrics, latency (p95), and cost per request.

Initial Day Objectives

  • 30 Days: Assess portfolio, data readiness, metrics, and risks; conduct stakeholder and customer discovery; identify priority opportunities.
  • 60 Days: Deliver a staged roadmap; establish evaluation and monitoring frameworks; align go-to-market plans.
  • 90 Days: Launch initial pilot/GA; operationalize monitoring and feedback mechanisms; publish governance artifacts

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