At a Glance
- Tasks: Lead the vision for our AI platform and enhance developer experience through hands-on engagement.
- Company: Join Sand Technologies, a global leader in Physical AI transforming critical industries.
- Benefits: Competitive salary, flexible working, and opportunities for travel across EMEA.
- Other info: Collaborative environment with a focus on innovation and personal growth.
- Why this job: Make a real-world impact by harnessing AI to solve humanity's biggest challenges.
- Qualifications: 5+ years in technical product management with a software engineering background.
The predicted salary is between 54000 - 66000 £ per year.
Senior Technical Product Manager
You used to write the code; now you define the vision. We’re looking for a Senior Technical Product Manager who still loves getting their hands dirty.
About Sand
Sand Technologies is a global Physical AI company using data and AI to make critical industries work better.
We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.
Our work delivers proven real-world impact.
We have built AI systems that help manage London’s water supply, supported telecom network planning across hundreds of cities, and developed digital healthcare platforms serving tens of millions of people across Africa.
From intelligent command centers to AI-powered infrastructure platforms, we help organizations sense, analyze and act in complex environments.
Our people are ambitious, curious and relentlessly practical.
Our teams work alongside clients in the field, solving hard problems and deploying solutions that last.
With colleagues across Africa, Europe, the UK and the US, we operate across the full stack - from research and engineering to deployment and capability building.
Our mission is simple: to harness AI to solve humanity’s most pressing challenges.
About the role
We are looking for a
Senior Technical Product Manager to take end-to-end ownership of our core developer and AI platform experience.
This is a deeply hands-on role designed for a former engineer who transitioned into product management.
You won’t be managing from a distance.
You will experiment with our APIs daily, deploy models, build prototypes using the latest AI agents, analyze system telemetry, and speak directly with our technical users.
- What you’ll do
- Own the product vision for our core technical platform, ensuring it is highly performant, secure, and provides an unmatched developer experience (DX).
- Live in the product daily - dogfooding APIs, deploying test environments, catching regressions early, and validating the end-to-end user journey firsthand.
- Maintain and develop reference applications and infrastructure-as-code templates that double as showcase demos for clients and living regression tests for engineering.
- Build proofs-of-concept and prototypes utilizing the latest AI capabilities and LLMs to validate new feature ideas before committing engineering resources.
- Manage and adapt the roadmap across immediate feature releases, medium-term platform integrations, and long-term architectural initiatives.
- Align product planning with engineering sprints, infrastructure upgrades, and the complex constraints of enterprise client deployments.
- Define clear problem statements, success criteria, and technical scopes, then collaborate closely with engineering leads to design the right solutions.
- Champion our core user personas (Data Engineers, Dev Ops, Enterprise Developers, ML Engineers) and prioritize solving their biggest pain points, from clunky integrations to slow deployment cycles.
- Run a consistent pipeline of user interviews with technical stakeholders to ground your roadmap decisions in real-world workflows.
- Coordinate cross-functionally with engineering, data science, marketing, and sales architecture teams.
Who you are
- Has a professional background in software engineering (e. g., Python, Type Script) prior to transitioning into product management.
- Has 5+ years of experience in technical product management or a comparable product leadership role within a complex, highly technical domain (B2B Saa S, Data, or AI platforms).
- Is a hands-on product builder who still loves diving into documentation, running queries, or testing endpoints, rather than operating solely through status reports.
- Has experience with AI development workflows and a deep curiosity about how AI agents are reshaping software engineering and data analysis.
- Can distill complex technical challenges into clear roadmaps, crisp Product Requirements Documents (PRDs), and actionable engineering tasks.
- Possesses exceptional communication skills - capable of translating deep technical constraints to executive stakeholders and overarching business goals to engineering teams.
- Is ready to act as a product evangelist externally, representing Sand Technologies in community interactions and technical forums.
- Take Developer Experience (DX) personally - you view a confusing API payload or an unhelpful error message as a bug that needs to be fixed immediately.
Willing to travel 50 - 75% to be on-site with clients in the EMEA region.
How we work
Due to the highly collaborative and internationally distributed nature of our work, successful candidates must be comfortable operating in small teams while contributing to larger, globally coordinated efforts.
A strong sense of ownership, self-motivation and discipline in maintaining clear and consistent communication through virtual collaboration tools and video conferencing is essential.
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Senior Technical Product Manager in London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think this is how you could land Senior Technical Product Manager in London
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We think you need these skills to ace Senior Technical Product Manager in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SwiftCruit.
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Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SwiftCruit
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SwiftCruit uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
