Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the vision for an innovative analytics platform, shaping data-driven decisions across AI and SaaS.
- Company: Join a fast-scaling SaaS innovator focused on redefining analytics with AI technology.
- Benefits: Enjoy hybrid work options, a dynamic team culture, and opportunities to shape industry-leading products.
- Why this job: Be at the forefront of next-gen analytics, creating impactful tools for developers and users alike.
- Qualifications: 8+ years in product management with a focus on analytics platforms and developer-oriented data tooling.
- Other info: Stax values diversity and encourages applicants from all backgrounds to apply.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Overview
Senior Director of Product Analytics – AI + SaaS Scale-up – London (Hybrid). Stax Recruitment is partnering with a fast-scaling SaaS innovator to appoint a Director / Senior Director of Product for their Analytics Platform.
This is a hands-on leadership role, responsible for shaping the foundation that powers data-driven decisions across the company’s platform, applications, and AI agent experiences. This isn’t analytics as usual—this is about defining an AI-native, developer-first analytics platform where real-time data, customer context, and machine reasoning converge to deliver insights beyond dashboards.
You’ll own the product vision and roadmap for a modern analytics engine—one built for both humans and agents to query, visualize, and act on data. You’ll also take ownership of the client’s in-app SDK for instrumentation and engagement analytics, transforming raw telemetry into high-impact insights across product, support, and engineering workflows.
This is a rare opportunity to define the future of embedded and agentic analytics at scale.
Key Responsibilities
- Own the Analytics Platform Vision & Roadmap: Define and scale a high-performance, low-latency analytics engine that supports embedded dashboards, cross-source joins, and both human and AI-native querying (e.g., Text-to-SQL).
- Productize the PLuG SDK as a Data Platform: Leverage in-app instrumentation (session replays, logs, engagement events) to power observability, anomaly detection, and customer experience analytics.
- Build AI-Enabled Interactions: Drive the development of agentic features including natural language queries, AI-generated dashboards, and real-time recommendations—bridging structured data with intelligent systems.
- Deliver Embedded & In-Process Analytics: Utilize modern query engines (e.g., DuckDB) to support fast, secure, and local analytics inside app environments and notebooks.
- Design for Multiple Personas: Create adaptable tools and views for developers, product managers, GTM teams, and support leaders—prioritizing usability and flexibility.
- Treat analytics as a product for builders. Focus on modular architecture, documentation, API quality, and extensibility.
- Integrate Across the Stack: Ensure seamless interoperability with knowledge graph data, customer 360s, product workflows, and AI agents.
Candidate Profile
- 8+ years in product management or related experience with deep focus on analytics platforms, embedded BI, or developer-oriented data tooling
- Experience with SDK-based instrumentation, session replay, or in-app analytics
- Familiarity with technologies like DuckDB or embedded query engines for in-process analytics
- Understanding of modern AI-native analytics patterns such as Text-to-SQL, natural language querying, and agentic workflows
- Ability to design for both technical (engineers, analysts) and non-technical (support, GTM) stakeholders
- Proven ability to work hands-on with engineering, AI/ML, and design teams to deliver performant, scalable systems
Why This Role
This role goes far beyond dashboards. You’ll help define a next-generation analytics experience where intelligent agents, embedded visualizations, and real-time data power every decision and workflow. With an extensible SDK, a powerful AI foundation, and a unified graph of customer and product data, you’ll have a unique canvas to build something industry-defining.
Stax encourages applicants from all backgrounds. Due to the expected volume we are unable to respond to all applicants but will message selected candidates for an introduction call.
#J-18808-Ljbffr
Senior Director of Product Analytics - AI + SaaS Scale-up - London (Hybrid) employer: Stax - Deeptech Talent
Contact Detail:
Stax - Deeptech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Director of Product Analytics - AI + SaaS Scale-up - London (Hybrid)
✨Tip Number 1
Familiarise yourself with the latest trends in AI-native analytics and embedded BI. Understanding how these technologies work will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the SaaS and analytics space. Attend industry events or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your hands-on experience with SDK-based instrumentation and in-app analytics. Be ready to share specific examples of how you've transformed data into actionable insights in previous roles.
✨Tip Number 4
Showcase your ability to design for multiple personas by preparing case studies or examples that highlight your adaptability in creating user-friendly tools for both technical and non-technical stakeholders.
We think you need these skills to ace Senior Director of Product Analytics - AI + SaaS Scale-up - London (Hybrid)
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description to grasp the key responsibilities and candidate profile. Highlight your relevant experience in product management, analytics platforms, and AI-native solutions.
Tailor Your CV: Customise your CV to reflect your experience with SDK-based instrumentation, session replay, and in-app analytics. Emphasise your hands-on work with engineering and AI/ML teams, showcasing specific projects that align with the role.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's vision for an AI-native analytics platform. Discuss your approach to building developer-oriented tools and how you can contribute to their goals.
Showcase Relevant Projects: Include examples of past projects where you defined product vision and roadmap, particularly those involving real-time data and customer context. Use metrics to demonstrate the impact of your contributions.
How to prepare for a job interview at Stax - Deeptech Talent
✨Understand the Product Vision
Before the interview, make sure you have a solid grasp of the company's product vision and roadmap. Familiarise yourself with their analytics platform and how it integrates AI and developer-first principles. This will help you articulate how your experience aligns with their goals.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SDK-based instrumentation and in-app analytics. Highlight specific projects where you've implemented similar technologies, such as DuckDB or other embedded query engines, to demonstrate your hands-on knowledge.
✨Emphasise Collaboration Skills
This role requires working closely with engineering, AI/ML, and design teams. Share examples of how you've successfully collaborated with cross-functional teams in the past, focusing on your ability to bridge technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time data environments. Think about challenges you've faced in previous roles and how you approached them, particularly in relation to building AI-enabled interactions and delivering embedded analytics.
