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For Companies At a Glance
- Tasks: Lead the development of AI-native analytics for a cutting-edge platform.
- Company: Join a high-growth AI platform transforming team collaboration.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Shape the future of analytics in a next-gen enterprise platform.
- Qualifications: 5-8+ years in product management with a focus on analytics or SaaS.
- Other info: Exciting chance to make a significant impact in a dynamic environment.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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
- 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
Role Overview
This role spans:
- 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
- Lead discovery across internal and external analytics workflows
- Identify high‑value customer use cases across product, support, engineering, ops, and GTM
- Stay ahead of market trends in:
- AI‑enabled analytics
- Natural language insights
- Embedded analytics
- Cross‑functional operational BI
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:
- 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.
Senior Product Manager - Analytics - AI B2B SaaS - London employer: Stax - Deeptech Talent
Contact Detail:
Stax - Deeptech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager - Analytics - AI B2B SaaS - London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their analytics approach and think about how you can contribute to their AI-native vision.
✨Tip Number 3
Showcase your experience with real-world examples. When discussing your past roles, highlight specific projects where you drove analytics success and how it impacted decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Product Manager - Analytics - AI B2B SaaS - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Product Manager. Highlight your experience with analytics, AI, and SaaS products. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI-native analytics and how you envision shaping our product. Let us know why you're the perfect fit for this exciting opportunity.
Showcase Your Achievements: When detailing your experience, focus on measurable outcomes. We love numbers! Whether it’s improved product adoption or successful PoCs, show us how you've made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity. Don’t miss out!
How to prepare for a job interview at Stax - Deeptech Talent
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI-native analytics. Brush up on how analytics can transform workflows and decision-making, as this will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Customer Discovery Skills
Prepare to discuss specific examples of how you've identified high-value customer use cases in previous roles. Highlight your experience leading proof of concepts (PoCs) and how they resulted in measurable success, as this aligns perfectly with what they’re looking for.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex topics like roadmap ownership and cross-functional collaboration. Being able to convey your ideas effectively will show that you can lead teams and drive execution.
✨Prepare for Technical Depth Questions
Expect questions about performance, reliability, and discoverability in analytics. Be ready to discuss how AI enhances analytics through natural language exploration and guided analysis, as this will demonstrate your technical understanding and vision for the role.
