Prudential's purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
We are seeking a strategic AI Technical Product management to join our global team. The ideal candidate will drive end-to-end agentic AI solutions, bridging business strategy and engineering execution by translating requirements into technical milestones. Fluency in Mandarin and English and engineering background are required. A strong knowledge of multi-agent systems and RAG is a plus.
About the Role:
Join our global insurance leader as an AI Technical Product Management. You will bridge product strategy and engineering execution for our agentic AI platform by translating technology capabilities and constraints into clear business value. You will work closely with Engineering teams and business users to align requirements, decisions, and delivery. This role emphasizes strong technical knowledge, excellent communication, and the ability to decompose complex initiatives into highlevel engineering tasks and milestones. Engineering background is a must.
Job Responsibilities:
- Current Context:
- Product Strategy & Roadmap: Define vision, outcomes, KPIs/OKRs, and prioritized roadmaps for agentic AI use cases in regulated environments ensure alignment with AI governance, PII masking, guardrails, and audit requirements.
- Technical Requirements & PRDs: Author clear PRDs/specs capturing user journeys, system boundaries, nonfunctional needs (reliability, latency, observability), and compliance controls convert business objectives into testable acceptance criteria.
- Engineering Task Breakdown: Decompose scope into epics, milestones, and dependency plans (protocol enablement, environment readiness, IaC approvals, observability hooks) for execution by engineering.
- CrossFunctional Delivery: Coordinate Data/AI Engineering, Platform, Security, and PMO sequence dependencies (data pipelines, model services, gateways), remove blockers, and drive release readiness.
- Stakeholder Communication: Lead updates with business users and executives articulate tradeoffs, risks, and decisions maintain alignment across LBUs and governance bodies.
- Process Improvement: Continuously refining product and delivery processes (requirements intake, prioritization, release gates), establishing templates, RACI, and operating rhythms.
- Observability & Evaluation Oversight: Champion instrumentation, evaluation criteria, and postlaunch measurement to accelerate iteration (defined by engineering owned by product).
- Vendor/Build Decisions: Assess partner solutions vs. internal build synthesize technical constraints, TCO, and compliance considerations for decision making.
- Role Briefly: Product Strategy & PRD, Engineering Decomposition (HighLevel), MultiAgent/Context Knowledge, Responsible AI & Compliance, Process Optimization, Hybrid Cloud Awareness.
- Expectations for Three Months:Establish initial product vision, PRDs, and a crossteam delivery plan stand up governance and measurement baselines aligned to platform standards.
- Expectations Within One Year:Launch one or more highimpact AI capabilities to production with measurable value and reliability institutionalize product operating rhythms (roadmaps, reviews, postlaunch metrics) across teams.Specific contributions can be discussed.
Job Qualification:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Possess 5 years or above Technical Product Management experiences.
- Skills & Mindset:
- Passion & Continuous Learning: Embraces new technologies, is enthusiastic about AI, and commits to ongoing learning.
- Process Optimizer: Willing to continuously improve workflows and reduce friction.
- Open Communicator: Proactive in communication, receptive to feedback, and maintains an open mindset with stakeholders.
- ImpactDriven: Prioritizes initiatives with the highest business and technical leverage communicates value crisply.
- Collaborative & Global: Thrives in crosscountry, multidisciplinary settings aligns partners and vendors to shared outcomes.
- Clear, Bilingual Communication: Excellent written/spoken English & Chinese (Mandarin) to engage both business and engineering audiences.
- Technical Knowledge Required:
- MultiAgent orchestration patterns, Context/Memory (RAG), Agent gateway/guardrails, model evaluation basics.
- Understand the fundamentals of machine learning know typical data requirements, model lifecycle, evaluation metrics, and common constraints to inform product decisions.
- Hybrid retrieval/grounding, systems/architectural thinking, and cleanarchitecture principles for decision making.
- Data integration & governance: Knowledge of how AI training/serving data is sourced, integrated, composed, and operationalized across pipelines understands policies, lineage, quality controls, and compliance implications in regulated environments.
- Tech Stacks:
- Compute & Hosting:GKE & GCE (RedHat), GCP Vertex AI
- Agentic Framework: ADK, n8n, Copilotkit, etc.
- Agentic Protocols: MCP, A2A, AG-UI, A2UI
- Databases: Redis, Firestore, PostgreSQL, Qdrant
- Data Technologies:GCP Cloud Composer (Airflow), BigQuery, Kafka Ecosystem (Confluent Cloud, Debezium, Qlik), Informatica, Power BI
- Monitoring & Observability:Langfuse, LGTM, GCP Monitoring, OTel
- CI/CD:GitHub Actions
- Infrastructure as Code:Terraform
- Security:VPC SC & Policy Tags, CMEK (KEK/DEK), Vault
- Containers:Docker, Kubernetes
- AI Tools for Development: Gemini CLI, Github Copilot
What You Can Expect:
- Global Impact:Work in a cross-country, multi-lingual environment, collaborating with teams across the globe.
- Massive Scale:Contribute to solutions that impact a large volume of customers.
- Strategic Focus:Be at the forefront of a company that strategically focuses on AI and data to drive significant value and impact.
- Cross-Functional Collaboration:Work closely with first-line business users, gaining direct insights into their needs and shaping technology solutions that address real-world challenges.
- Meaningful Technology:Make technology truly impactful, driving innovation and solving critical business problems.
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
