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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 redefining team collaboration.
- Benefits: Competitive salary, flexible work environment, 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 real impact in a dynamic tech environment.
The predicted salary is between 54000 - 84000 £ 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
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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Product Management
Industries: Software Development
Senior Product Manager - Analytics - AI B2B SaaS - London in England 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 in England
✨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. Show them you’re not just another candidate; you’re genuinely interested in what they do and how you can contribute.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, especially around analytics and AI. Confidence is key, so rehearse until it feels natural.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Product Manager - Analytics - AI B2B SaaS - London in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Product Manager role. Highlight your experience in SaaS, AI, and analytics-heavy products to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI-native analytics. Share specific examples of how you've driven success in previous roles, especially in cross-functional teams.
Showcase Your Communication Skills: As a Senior Product Manager, clear communication is key. Make sure your application materials are well-structured and articulate your thoughts clearly. We want to see your spec writing prowess!
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 exciting opportunity!
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 processes, as this will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Product Management Experience
Prepare to discuss specific examples from your 5–8+ years of PM experience. Highlight projects where you successfully led cross-functional teams and drove execution, especially in SaaS or analytics-heavy products. This will help illustrate your capability to handle the responsibilities of the role.
✨Prepare for Customer Discovery Questions
Expect questions about your approach to customer discovery and how you’ve led proof of concepts (PoCs) to measurable success. Be ready to share insights on how you identify high-value use cases and translate them into actionable analytics solutions.
✨Communicate Clearly and Confidently
As a Senior Product Manager, clear communication is key. Practice articulating your thoughts on product roadmaps and specifications. Use examples to demonstrate your ability to convey complex ideas simply, which will resonate well with the interviewers.
