Job Opportunities API

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  ensuring  we ship the right things at pace.  You’ll  bring  technical  credibility  to every  conversation and  into product decisions that matter. ​   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 ,  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.   What will you be doing: Ship ping  Voice AI products end-to-end: From discovery and definition  through to  delivery and iteration.  F ocus ing  on shipping value to customers, not just features. That means owning the success definition for key product areas: choosing the right  metrics and  using data to drive iteration. ​   Speak ing  directly to customers: Run ning  your own interviews with users building with our Speech APIs for use cases such as voice agents, medical scribes and more. Understand ing  their needs and communicat ing  them to the business. ​ Evolv ing  the product roadmap for your area: Bringing customer and market insight as well as technical context to build defendable  prioritisation  decisions. ​ Partner ing  closely with ML researchers and engineers: To translate technical requirements  and  realities  into  product decisions. Understand ing  what trade-offs need to be agreed and how to deliver efficiently. ​ Work ing  with sales and GTM: Defin ing  how we package and position what we build, so that what we ship stands out in a competitive   market.  ​ Help ing  define what  great product  looks like at  Speechmatics : Be ing  part of a product culture built on  rigour ,  speed  and  deep  curiosity.  ​   Who  we’re  looking for: Product experience:  You've  taken a product from problem definition to delivery multiple times and measured the impact.   Technical depth:  You’ve  worked in software engineering, ML, data  science  or a related technical field.  You're  comfortable building scripts and quick prototypes, using the latest AI tools to move fast and  validate  ideas before committing engineering resource. ​ APIs and deployment: Familiarity with API-based products and SaaS or on-premise  deployments  would certainly help .  ML Product fluency: You understand that shipping an ML model isn't  like shipping a software feature.  The  definition of " ready to ship " is  not black and white , evaluation   isn’t  pas s  or fail. ​ Experience working directly with teams that train, evaluate and ship models is a real advantage. If your background is outside ML, we'll  want to understand how you build technical fluency quickly and any relevant experience. ​ Data instinct: You are comfortable digging into model evaluation results, asking whether the test data reflects real-world conditions, and understanding what a benchmark result does and doesn't