Engineering Manager (Machine Learning, Voice)

Engineering Manager (Machine Learning, Voice) YOUR TURN TO START THE CONVERSATION. WRITE THE FUTURE AT RASA. Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion. To find the connection between our differences. It keeps us close together across borders and backgrounds. Rasa means tight-knit. We get to the point and have the courage to ask why. Because through relentless experimentation, verve, and vision, we’re transforming how people interact with organisations through AI. That’s Rasa. That’s our message. Join us and add yours. SUMMARY We’re looking for an Engineering Manager to lead our Voice team at Rasa, reporting directly to the Director of Engineering. You’ll work closely with a product manager to shape and deliver features that push the boundaries of Voice capabilities by solving core ML challenges. Your mission: grow an empowered, high-performing engineering team that thrives in a fast-moving, remote-first environment. ABOUT THIS ROLE - Own team structure, processes, and ways of working, tailoring them to support speed and quality - Mentor and coach engineers in their technical and professional development - Drive cross-functional alignment across engineering, product, and design - You are responsible for your team’s ability to ship, holding them accountable while providing continuous feedback - Champion strong async communication practices and help your team operate autonomously in a remote-first setup - Actively contribute to improving DEI in hiring, team dynamics, and leadership practices - You’ll support your team by removing blockers, reviewing PRs, and occasionally contributing features or prototypes yourself. Our tech stack includes Python, Sanic, Async programming and Event-driven systems. Protocols and patterns the team works with include websockets, SIP and RTP, streaming, audio processing. Machine learning elements focus on ML as a service, ML evaluation and prompt engineering. ABOUT THE TEAM This team has a Product Manager, a Tech Lead, 2 backend engineers, 1 QA engineer. We currently work in sprints, value proactive communication, iterative & data-driven product development, prototyping & POCs. We often work on open ended problems where research and explorations are key. The focus area of this team for the next 6 months is to enable teams to build Multilingual Voice agents while providing a High-fidelity Audio experience, with first-class support for Pause Handling. This team has a strategic impact and tightly coordinates with other squads in Rasa. ABOUT YOU Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all the requirements, yet you are passionate about this role: we absolutely want to get to know you! - You have 1+ year of experience managing engineering teams, ideally in startup environments - You previously worked as a senior ML engineer on complex, scalable systems and are still confident being hands-on and navigating technical discussions - You have experience building and shipping software products end-to-end - You are comfortable navigating and exploring wide solution spaces with unclear requirements - You are a strong communicator and educator, showing empathy, and coaching others to do the same - You can motivate others to reach their potential. - You thrive in dynamic environments, balancing speed and quality while adapting to evolving priorities - You have strong product and business sense, you understand the “why” behind the work and how your team’s output impacts customers and the market - You are excited about generative AI and large language models (LLMs) - You want to work at a fast-paced startup and default to action - Experience with Voice AI is considered a plus WHAT YOU CAN EXPECT FROM US - Flexible hours and a dedicated remote budget - A stipend for professional development & 6 paid education days to he ... (truncated, view full listing at source)