Stax is delighted to partner with a high-growth AI platform that is redefining how modern teams search, decide, and act in a unified workspace. Analytics is becoming one of the core intelligence layers powering their product — and they’re hiring a Senior Product Manager to lead both the platform and end-user analytics experience.

If you’re passionate about building AI-native analytics at scale, this is a standout opportunity to shape a foundational layer of a next-generation enterprise platform.

Why Analytics Matters

Today’s organisations expect analytics to be:

• Instant — fast answers without switching tools
• Actionable — insights that trigger workflows and decisions
• Conversational — natural language as a primary interface
• Composable — reusable analytics elements powering multiple apps

Analytics transforms the product by enabling:

• Analytics → Insight: turning raw operational and user data into clear, interpretable signals
• Analytics → Workflow: converting insights into routing, assignments, triggers, suggestions, or agent behaviours
• Analytics → Decision: empowering teams to make informed decisions inside a single workspace

As Senior Product Manager for Analytics, you will define how intelligence appears across the product — from dashboards and in-context visualisations to deep explorations and AI-generated insights that guide both users and agents.

Role Overview

This role spans:

• Platform: reusable analytics components, primitives, query surfaces
• Product: the customer-facing analytics experience powering decisions across support, product, engineering, operations, and GTM teams

You will help define what AI-native analytics means for a modern enterprise platform — and deliver the components that shape how companies understand and act on their data.

What You’ll Drive

Analytics Product Strategy & Discovery

• Lead discovery across internal and external analytics workflows
• Identify high-value customer use cases across product, support, engineering, ops, and GTM
• Analyse how users interrogate data today — dashboards, ad hoc queries, exploration, reporting
• Stay ahead of market trends in:
• AI-enabled analytics
• Natural language insights
• Embedded analytics
• Cross-functional operational BI

Insight → Action Workflow Design

• Define how insights flow into recommendations and actions
• Build in-context analytics that surface inside real workflows (support cases, releases, product work, customer records)
• Create templates and opinionated views for common operational questions

Go-to-Market Partnership

• Collaborate with Sales, Solutions, and Success to ensure analytics has commercial impact
• Shape compelling value stories, demos, and customer narratives
• Support PoCs with measurable, outcome-driven success criteria
• Partner on packaging and readiness for major analytics launches

Roadmap Ownership & Technical Depth

• Own the roadmap across both analytics platform and product surfaces
• Prioritise reusable components that unlock leverage across the broader product suite
• Partner with engineering on performance, reliability, discoverability, and buildability
• Define how AI enhances analytics through NL exploration, explanations, and guided analysis
• Ensure analytics is cohesive across apps — a unified layer, not a silo

Metrics & Measurement

Define and own the metrics that matter:

• Quality: accuracy, reliability, freshness
• Product: adoption, usage depth, exploration frequency
• Outcome: time saved, decisions accelerated, operational improvements
• Workflow: insight → action conversion, agent execution triggered by analytics

What Success Looks Like

• Analytics becomes a core layer used across top workflows and personas
• Noticeable uplift in product adoption driven by analytics-led guidance
• Strong customer references tied to analytics outcomes
• A platform foundation that accelerates development for multiple teams
• AI-native analytics capabilities that resonate with customers and analysts

What We’re Looking For

Must-Haves

• 5–8+ years of PM experience in SaaS, AI, developer tools, or analytics-heavy products
• Strong experience with analytics, BI, or data-driven workflows
• Proven ability to drive execution across engineering and cross-functional teams
• Excellent customer discovery skills and experience leading PoCs to measurable success
• Clear communicator with exceptional spec writing and roadmap articulation

Nice-to-Haves

• Experience with AI-powered analytics (e.g., NL-to-insight, text-to-data)
• Background in operational analytics within support, product, or engineering domains
• Exposure to data/visualisation tooling, query surfaces, or platform components

Interested?

Stax is running this search exclusively.

If you’re excited to build the analytics foundation of a category-defining AI platform, we’d love to speak with you.

Please be advised that, owing to the expected volume of applications, we may only be able to contact candidates selected for further consideration