Job Description

We’re hiring an experienced Product & Data Manager to lead the design, delivery, and adoption of AI-based solutions and Agentic AI across Customer Service, Business Development, Sales, Operations, Compliance, Partnerships, Marketing etc. You’ll own the product strategy, cross-functional execution, risk & governance, and measurable business outcomes as we deploy autonomous and semi-autonomous AI agents to scale workflows, improve decision quality, and elevate customer experience.

  

Responsibilities:

• Define the product vision, roadmap and commercial use cases for AI-based solutions and agentic AI across the organisation (Customer Service, Sales, Marketing, BD, Ops, Compliance, Partnerships etc.).
• Translate business processes into safe, testable agent workflows (single-agent and multi-agent patterns), prioritizing ROI, risk and compliance.
• Lead end-to-end delivery: discovery, design, engineering sprints, integration, testing, stakeholder training, implementation and production rollout.
• Build robust guardrails: prompt and tool governance, hallucination mitigation, human-in-the-loop escalation, access controls and logging for auditability.
• Partner with Compliance, Legal, and Security to maintain data privacy, regulatory reporting and mitigation plans for agent behaviour.
• Define KPIs, A/B experiments and quantitative evaluations (cost per transaction, time to resolution, accuracy, escalation rate, NPS, false positive/negative rates) and deliver measurable improvements.
• Evangelize AI-based solutions and agent capabilities internally; run pilots, change management and skilling/reskilling programs

Job Requirements

  Must have qualifications:

• 5+ years product management with 2+ years delivering AI/ML products or automation solutions (enterprise or fintech preferred).
• Demonstrated experience launching automation solutions, production AI or RPA systems end-to-end
• Strong technical fluency: API integrations, LLMs, agent frameworks (or comparable experience), observability, model evaluation etc.
• Experience working with regulated environments (payments, fintech, or healthcare) — comfortable translating regulation into product constraints.
• Excellent stakeholder management: can lead cross-functional squads (engineers, data scientists, security, compliance, customer ops).
• Data-driven mindset — comfortable with analytics, experiment design and measuring ROI.

Skills