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 Responsibilities

Product Strategy & Market Research

• Track 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 & Roadmap

• Own 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 Experience

• Develop 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 Delivery

• Partner 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 Success

• Support 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.

Requirements

• Bachelor’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 Have

• Experience 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.com

EA Registration Number: R1878287

Business Registration Number: 201735941W.