Senior Manager
Senior Manager
Posted on :
30-08-2025
Employer Active
1 Vacancy
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Job Description
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
- 710 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.
InitialDay 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
Required Experience:
Senior Manager
Employment Type
Full-Time
Key Skills
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