Job detail for Senior Product Manager

Your Daily Adventures Will Include:
Owning the vision, strategy, and roadmap for your product area, and being accountable for the outcomes it delivers

Owning the AI application in your product area: identifying and prioritising the use cases worth building, and being willing to say when a problem is better solved without AI

Defining what “good” means for AI-powered capabilities — the evaluation criteria, quality bars, and offline and online measurement that tell you whether a model or agent is genuinely working for customers, and holding the roadmap to those bars

Partnering with data science and ML engineering to take capabilities from experimentation into production, including guardrails, human-in-the-loop design, and the failure modes customers will actually hit

Defining and prioritising the work — making explicit trade-offs on scope, sequencing, and timelines, and explaining the reasoning to partners and leadership

Capturing voice of the customer: leading discovery sessions, running research, and building a first-hand understanding of how revenue teams actually work

Establishing the metrics that define success for your area like adoption, quality, and business impact, and using them to steer the roadmap

Tracking the market, competitive landscape, and customer feedback, and translating them into positioning and roadmap priorities

Working with product marketing, enablement, and finance on launch, positioning, pricing, and packaging

Driving cross-organisational initiatives where your area depends on, or is depended on by, other product teams

Our Vision Of You:
7+ years of product management experience building enterprise or B2B SaaS products

Experience launching AI or data products with LLM-powered capabilities, copilots, or agentic workflows, including ownership of their quality after launch

Fluency in modern AI stacks: model integration, context orchestration, prompt design, guardrails, and evaluation frameworks

A demonstrated ability to translate complex AI capabilities into simple product experiences and measurable customer value

Proven ability to work closely with engineering and data scientists to take models from experimentation to production

Comfortable building a business case, working directly with data to test a hypothesis, and making decisions under uncertainty

Customer empathy, and the discipline to keep talking to users rather than reasoning from assumptions

The ability to set a longer-term strategy for your area while driving meaningful short-term impact, and to bring senior leadership and cross-functional partners along with you

Preferred Qualifications:
Experience with analytics, reporting, or performance-measurement products, or with products that turn behavioural data into recommendations and guidance

Experience building products for go-to-market teams including sales, marketing, revenue operations, or customer success

Experience with conversation intelligence, or with products built on unstructured interaction data

A clear understanding of AI governance, privacy, compliance, and responsible AI principles as they apply to enterprise readiness

Experience working in a distributed product organisation across multiple regions