At a Glance
- Tasks: Lead voice strategy and integrate voice into AI workflows for a cutting-edge platform.
- Company: Fast-scaling AI platform transforming enterprise knowledge capture and automation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Be part of a team driving significant impact in modern business workflows.
- Why this job: Join a pivotal role at the intersection of voice, AI, and enterprise innovation.
- Qualifications: 5-8+ years in product management with hands-on voice and AI experience.
The predicted salary is between 75600 - 92400 £ per year.
Stax is partnering with a fast-scaling AI platform transforming how enterprises capture knowledge, take action, and automate work. Voice is becoming one of the most powerful input modalities within their product ecosystem — and they’re hiring a Senior Product Manager to own and scale this pivotal area. If you’re excited by the intersection of voice, AI agents, and enterprise workflows, this is one of the most influential roles you can take on in the market today.
Why Voice Matters
Some of the most valuable information inside modern companies lives in conversations — customer calls, internal meetings, sales discussions, onboarding sessions, and field interactions. Turning this spoken content into structured, actionable insight unlocks enormous potential. Voice enables the platform to deliver:
- Voice → Action: turning spoken insights directly into tasks, updates, and decisions
- Voice → Memory: converting calls and meetings into structured knowledge objects
- Voice → Reach: allowing the product to be used seamlessly across calls, shop floors, vehicles, and live environments
As the Senior Product Manager for Voice, you will define how voice integrates into real-time AI agent workflows, knowledge systems, and a rapidly evolving enterprise automation platform.
What You’ll Lead
- Lead voice strategy across internal and customer-facing workflows
- Conduct market and competitive intelligence across:
- Industry verticals (e-commerce, fintech, telco, logistics, SaaS, etc.)
- Product verticals (support, sales, onboarding, internal ops)
- Regional factors (ASR quality, regulatory nuances, telephony norms across NA/EU/APAC)
- Identify the fastest paths to adoption and ROI
- Design seamless transitions between voice interactions, AI agent responses, and human intervention
- Safe, reversible actions
- Clear escalation thresholds
- Preservation of real-time context
- Full auditability within the platform
Go-to-Market Partnership
- Partner closely with Sales, Solutions, and Customer Success to:
- Identify where voice creates the highest commercial leverage
- Shape demos, narratives, and customer value cases
- Support PoCs with measurable, trackable outcomes
- Influence packaging, pricing, and launch readiness
Roadmap Ownership & Technical Depth
- Own the end-to-end roadmap for voice: capture, interpretation, and action layers
- Work with engineering to build reusable components and infrastructure
- Ensure voice becomes a first-class surface within the product, fully integrated into its knowledge and agent layers
Metrics & Measurement
- Define and track success metrics such as:
- Quality: accuracy, latency, safety, action correctness
- Outcomes: automation impact, time saved, adoption growth
- Experience: continuity of handoff flows, user satisfaction
What Success Looks Like
- Voice capabilities adopted across key workflows and customer segments
- Significant uplift in platform usage through voice-first capture and actions
- Meaningful reduction in manual conversational follow-up or data entry
What We’re Looking For
Must-Haves
- 5–8+ years PM experience in AI, SaaS, or highly technical product environments
- Hands-on experience with voice, ASR, NLU, or conversational AI
- Strong cross-functional execution across engineering and GTM teams
- Exceptional skills in product discovery, customer engagement, and writing clear product specs
Nice-to-Haves
- Experience with telephony or CCaaS ecosystems
- Background in LLMs, agentic workflows, or real-time systems
Please be advised that, owing to the expected volume of applications, we may only be able to contact candidates selected for further consideration.
Senior Product Manager - Voice - B2B AI SaaS - London employer: Stax - Deep Tech Talent
At Stax, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that fosters growth and collaboration. As a Chief Financial Officer in our rapidly expanding AI DeepTech platform, you will be at the forefront of transformative technology, with access to meaningful equity options and a highly competitive compensation package. Our hybrid work model in London supports a healthy work-life balance while providing ample opportunities for professional development as we scale globally.
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We think this is how you could land Senior Product Manager - Voice - B2B AI SaaS - London
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We think you need these skills to ace Senior Product Manager - Voice - B2B AI SaaS - London
Some tips for your application 🫡
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 Stax - Deep Tech Talent.
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How to prepare for a job interview at Stax - Deep Tech Talent
✨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 Stax - Deep Tech Talent 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.
