At a Glance
- Tasks: Lead the development of innovative Voice AI products from concept to delivery.
- Company: Join a forward-thinking AI company with a collaborative and inclusive culture.
- Benefits: Flexible working, training support, generous holiday allowance, and health benefits.
- Other info: Dynamic hybrid work environment with opportunities for career growth and development.
- Why this job: Make a real impact in the exciting field of AI while growing your technical skills.
- Qualifications: Experience in product management and a strong technical background in software or ML.
The predicted salary is between 60000 - 80000 £ per year.
As a Technical Product Manager, you’ll be defining our product direction in close collaboration with our talented Engineering teams. You’ll own product areas end‑to‑end and ensure we ship the right things at pace, bringing technical credibility to every conversation and product decision. You’ll work alongside the VP, Product in a product function that punches well above its size, complementing our engineering and ML teams with product leadership and aligning our roadmap across sales, research and GTM. This is a role for someone with genuine technical depth who wants to grow into more, using their hands‑on background to drive product impact in one of the most technically interesting areas in AI today.
Responsibilities
- Ship Voice AI products end‑to‑end: from discovery and definition through to delivery and iteration. Focus on shipping value to customers, not just features.
- Own the success definition for key product areas, choosing the right metrics and using data to drive iteration.
- Speak directly to customers: run interviews with users building with our Speech APIs for use cases such as voice agents, medical scribes, and more to understand needs and communicate them to the business.
- Evolve the product roadmap for your area: bring customer and market insight as well as technical context to build defensible prioritisation decisions.
- Partner closely with ML researchers and engineers to translate technical requirements and realities into product decisions.
- Work with sales and GTM to define how we package and position what we build so that what we ship stands out in a competitive market.
- Help define what great product looks like at Speechmatics: be part of a product culture built on rigour, speed and deep curiosity.
- Product experience: have taken a product from problem definition to delivery multiple times and measured the impact.
Qualifications
- Product experience: have taken a product from problem definition to delivery multiple times and measured impact.
- Technical depth: have worked in software engineering, ML, data science or a related technical field; comfortable building scripts and quick prototypes, using the latest AI tools to move fast and validate ideas before committing engineering resources.
- APIs and deployment: familiarity with API‑based products and SaaS or on‑premise deployments helps.
- ML product fluency: understand that shipping an ML model is not like shipping a software feature; the definition of “ready to ship” is not black and white, and evaluation isn’t pass or fail.
- Experience working directly with teams that train, evaluate and ship models is an advantage. If background outside ML, must demonstrate rapid technical fluency and relevant experience.
- Data instinct: comfortable digging into model evaluation results, questioning whether test data reflects real‑world conditions, and understanding what a benchmark result does and doesn't tell.
- Engineering credibility: can engage with ML engineers, researchers and developers from day one, earning trust by listening and learning rather than relying on title.
- Comfortable with ambiguity: AI is moving quickly; bring enough market and technical awareness to shape roadmap decisions rather than merely react.
Benefits
- No matter what stage of your career—from paid internships to senior positions—we support training and development to reach your career aspirations.
- Flexible working, regular company lunches and birthday celebrations; private medical and dental for you and your family, global working opportunities, generous holiday allowance and pension/401 K matching.
- Working‑from‑home allowance for office equipment beyond laptop and accessories.
- Parental leave support globally, including adoption assistance and reproductive health services.
We have a hybrid approach with 2–3 designated office days each week, balancing the advantages of remote work with the connection and synergy of in‑person interactions. Speechmatics is an equal‑opportunity employer. We welcome different experiences, viewpoints and identities, and actively support inclusion for all employees.
Technical Product Manager employer: Speechmatics Limited
At Speechmatics, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Technical Product Manager, you'll benefit from flexible working arrangements, comprehensive training and development opportunities, and a supportive environment that values diverse perspectives. Our commitment to employee well-being is reflected in our generous benefits package, including private medical care, global working opportunities, and a strong focus on work-life balance, making us an ideal place for those looking to make a meaningful impact in the AI space.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Product Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Speechmatics. A friendly chat can open doors and give you insider info on what it’s really like to work there.
✨Tip Number 2
Show off your technical chops! When you get the chance, share examples of how you've tackled product challenges in the past. This will help us see your hands-on experience and how you can bring value to our team.
✨Tip Number 3
Prepare for those interviews by diving deep into our products. Understand our Voice AI offerings and think about how you’d approach product decisions. This will show us you’re genuinely interested and ready to hit the ground running.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Technical Product Manager
Some tips for your application 🫡
Show Your Technical Depth:As a Technical Product Manager, we want to see your hands-on experience. Make sure to highlight any relevant projects or roles where you've worked closely with engineering teams and tackled technical challenges head-on.
Focus on Impact, Not Just Features:When detailing your past experiences, emphasise how you’ve shipped products that delivered real value to customers. We’re looking for someone who understands the difference between just adding features and creating meaningful impact.
Engage with Customer Insights:We love candidates who can speak directly to users. If you’ve conducted user interviews or gathered customer feedback in your previous roles, make sure to mention it! It shows you understand the importance of aligning product decisions with user needs.
Tailor Your Application:Take a moment to customise your application for us. Use language from the job description and connect your experiences to the responsibilities listed. This shows you’re genuinely interested in the role and have done your homework!
How to prepare for a job interview at Speechmatics Limited
✨Know Your Product Inside Out
Before the interview, dive deep into the products and features related to Voice AI. Understand how they work, their benefits, and the technical aspects behind them. This will help you speak confidently about your experience and how you can contribute to the product direction.
✨Showcase Your Technical Credibility
Be prepared to discuss your technical background in software engineering, ML, or data science. Share specific examples of how you've used your technical skills to drive product impact. This will demonstrate that you can engage with engineers and researchers effectively.
✨Prepare for Customer Conversations
Since you'll be speaking directly to customers, think about how you would approach user interviews. Prepare questions that uncover user needs and pain points, and be ready to discuss how you would translate those insights into actionable product decisions.
✨Embrace Ambiguity and Adaptability
AI is a fast-evolving field, so be ready to discuss how you've navigated uncertainty in past projects. Share examples of how you've adapted your product strategies based on market changes or new technical insights, showcasing your ability to shape roadmaps proactively.
