Senior Product Manager (B2B SaaS) – Enterprise AI Infrastructure

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. seeks a Senior Product Manager for its flagship enterprise SaaS platform in Singapore.

You will own the product end-to-end from concept to scaled deployment, bridging AI tooling, developer interfaces, and governance of LLM infrastructure. Responsibilities include market research, API strategy, stakeholder interviews, and driving Agile delivery as Product Owner. Strong English and Mandarin, plus experience with enterprise SaaS and cross-functional leadership, are

Qualifications

• Bachelor’s degree in a related field with strong academic record.
• 5+ years in B2B SaaS product management, end-to-end delivery.
• Experience defining API-first, developer-facing products.

Responsibilities

• Lead market research and translate findings into product insights.
• Own PRDs, user stories, and roadmaps for core capabilities.
• Collaborate with sales, marketing, and enterprise teams on GTM.
• Define metrics like activation, retention, and NRR to guide iteration.

Skills

B2B SaaS PM

Agile delivery

Cross-functional leadership

PRD & roadmaps

English & Mandarin

Stakeholder interviews

Data-driven decisions

Education

Bachelor degree in CS/SE/IS/Data Science

Tools

Figma

Axure

REST APIs

SDKs

OAuth/SSO

RBAC

Prometheus

Grafana

OpenTelemetry

Kubernetes

Istio

Python/TypeScript

Job description

About the Role

Our client is a well-funded AI technology company building enterprise-grade infrastructure to help organisations manage, govern, and optimise their use of large language models (LLMs) at scale. As the

Senior Product Manager

for their flagship B2B platform, you will own the product end-to-end — from early-stage definition through to scaled commercial deployment — working at the intersection of AI, developer tooling, and enterprise SaaS. This is a high-impact, high-ownership role for someone who thrives in a fast-moving environment and wants to shape how enterprises adopt AI responsibly and efficiently.

Key Responsibilities

• Lead market and competitive research across the enterprise AI infrastructure and LLM operations space, tracking product evolution and go-to-market strategies of key players, and translating findings into actionable product and commercial insights
• Monitor API capabilities, pricing models, and SLA changes across major LLM providers, and assess their implications for platform strategy and feature prioritisation
• Conduct in-depth discovery interviews with enterprise stakeholders — including IT, AI platform teams, developers, and finance — to build a structured library of industry use cases and buyer decision frameworks
• Own the full product requirements and roadmap across both 0-to-1 and scaling stages — producing PRDs, user stories, and acceptance criteria for core capability areas such as unified API management, intelligent routing, semantic caching, observability, enterprise governance, and hybrid deployment
• Produce low- to high-fidelity prototypes (using Figma, Axure, or equivalent tools) and collaborate with UI/UX designers to refine key surfaces including dashboards, channel management, API key management, and cost analytics
• Drive Agile delivery as Product Owner across sprint cycles — managing backlog priorities, sprint goals, demos, retrospectives, and release quality, including canary release strategies and rollback plans
• Partner with sales and solutions teams on pre-sales demonstrations, proof-of-concept engagements, and solution design for strategic enterprise accounts; collaborate with marketing on whitepapers, feature announcements, and case studies
• Define and track core product metrics — including activation rates, token consumption, retention, net revenue retention, cache hit rate, and failover recovery rate — and use data to drive continuous iteration

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, Information Systems, Data Science, or a related discipline; minimum 5 years of B2B / SaaS product management experience, with at least one enterprise-grade SaaS or PaaS product taken end-to-end from design through to scaled launch
• Solid command of API-first and developer-facing product design, including strong working knowledge of REST APIs, SDKs, webhooks, OAuth/SSO, and RBAC
• Proven prototyping ability using Figma, Axure, or equivalent tools, with the capacity to independently deliver medium-complexity interaction designs
• Demonstrated experience driving cross-functional teams (engineering, QA, design, operations) within Agile frameworks (Scrum / Kanban), with strong written communication skills for producing high-quality PRDs, roadmaps, and release documentation
• Business-level proficiency in both English and Mandarin, as the role requires written product documentation in English and communication with Mandarin-speaking stakeholders and customers in China and the broader region
• Hands-on experience with enterprise AI or LLM adoption — such as building internal AI platforms, model routing infrastructure, or AI gateway solutions (is a bonus)
• Familiarity with the LLM operations tooling ecosystem (e.g. orchestration frameworks, vector databases, semantic caching, guardrails) and/or leading LLM API providers' capability differences, pricing structures, and rate-limit mechanics (is a bonus)
• Background in API gateway, identity management, observability tooling (e.g. Prometheus, Grafana, OpenTelemetry), or cloud-native infrastructure (e.g. Kubernetes, Istio) (is a bonus)
• Experience delivering B2B SaaS products to enterprise customers across Southeast Asia, North Asia, the Middle East, or Western markets (is a bonus)
• Basic coding or scripting ability in Python or TypeScript, sufficient to read API documentation and open-source codebases (is a bonus)