Senior Product Manager(ToB AI Gateway)

Senior Product Manager (B2B / Enterprise AI)We are representing our client in search for a Senior Product Manager to lead the development and commercialisation of an enterprise AI Gateway / LLMOps platform.This role will own the product lifecycle from 0-to-1 development through scaled enterprise adoption, working closely with engineering, design, sales and strategic customers.Key ResponsibilitiesProduct Strategy & Market ResearchTrack the enterprise AI Gateway, LLMOps and AI infrastructure landscape, including emerging competitors and market trends.Monitor leading LLM providers, their API capabilities, pricing, SLAs and product developments, and translate market changes into product opportunities.Conduct customer research and interviews with enterprise IT, AI platform, developer and finance teams to identify use cases and product requirements.Product Requirements & RoadmapOwn product requirements from 0-to-1 and 1-to-N, including PRDs, user stories and acceptance criteria.Develop and maintain quarterly and annual product roadmaps aligned with customer needs, technical developments and business objectives.Drive product development across key capabilities such as Unified API, Smart Routing, Semantic Cache, Observability, Enterprise Governance and Hybrid Deployment.Prioritise features and manage milestones throughout the product lifecycle.Product Design & User ExperienceDevelop low- to high-fidelity prototypes using Figma, Axure or equivalent tools.Work closely with UI/UX designers to develop intuitive enterprise product experiences across dashboards, API management, channel management and cost analytics.Conduct usability testing with beta users and incorporate feedback into product iterations.Engineering & Product DeliveryPartner closely with engineering, QA and security teams throughout product development.Lead requirement reviews, technical discussions, sprint planning and product iterations using Agile methodologies.Act as Product Owner, managing backlog priorities, sprint objectives, product demos and retrospectives.Ensure release quality through structured testing, canary releases, rollback planning and post-release reviews.Drive post-incident product improvements and process optimisation.Commercialisation & Customer SuccessSupport sales and solutions teams in pre-sales activities, product demonstrations, POCs and solution design for strategic enterprise customers.Work with marketing teams on product launches, whitepapers, case studies, product announcements and other content.Define and monitor key product metrics, including activation, token consumption, retention, NRR, cache hit rate and failover recovery rate.Use product and customer data to drive continuous product improvement.RequirementsBachelor’s degree or above in Computer Science, Software Engineering, Information Systems, Data Science or a related discipline.3+ years of B2B / SaaS product management experience, with experience taking an enterprise-grade SaaS or PaaS product from design through scaled launch.Strong understanding of API-first and developer-facing products, including REST APIs, SDKs, webhooks, OAuth/SSO and RBAC.Strong product prototyping skills using Figma, Axure or equivalent tools.Nice to HaveExperience building or managing enterprise AI, LLM or AI infrastructure products, such as AI platforms, AI Gateways, Model Routers or AI governance platforms.Familiarity with leading LLM APIs and providers, including OpenAI, Anthropic, Google Gemini, Qwen and DeepSeek.Understanding of the LLMOps ecosystem, including LangChain, LlamaIndex, LiteLLM, vLLM, MCP, Vector Databases, Semantic Cache and Guardrails.Experience with API Gateway, Identity, Observability or Cloud-native products, including Prometheus, Grafana, OpenTelemetry, Kubernetes or Istio.Experience delivering B2B SaaS products to enterprise customers across Southeast Asia, Japan/Korea, the Middle East, Europe or North America.Basic coding or scripting knowledge in Python or TypeScript, with the ability to understand API documentation and open-source code.Regret to inform that only shortlisted candidates will be notified.www.dadaconsultants.comEA Registration Number: R1878287Business Registration Number: 201735941W.