Product Manager, Machine Learning (must be UK based)

PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents.

Our customers, which include the world’s leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows.

We seek an innovative, design-focused, growth-focused product manager who can join our team and help make PolyAI the best conversational AI platform.

In this role, you will guide roadmap planning for our user-facing products, and oversee go-to-market activities for new features in the portfolio. You will be up to speed on the market landscape in order to articulate a market-differentiated product experience that addresses the sophisticated needs of our customer base. You will need to influence peers on new product introductions, run the operational practices, and oversee execution for your product areas.

Responsibilities:

• Demonstrate exemplary product management skills, organizational agility, and a strong ability to execute ML initiatives.
• Build statistically-sound evaluation framework for ML features in production settings and drive continuous improvements with data feedback loop
• Identify strength and weakness in given ML models and know when to apply them when building customer-facing products
• Drive data collection and annotation initiatives so that we continuously supply ML models with high quality training data
• Capable of solutioning with deployment team to fix urgent client requests, knowing the failure mode of the underlying ML models and ways to patch them
• Lead and inspire a cross-functional team of engineers, data scientists, and other stakeholders, fostering a positive and productive team culture.
• Maintain a deep understanding of PolyAI’s strategic goals and competitive landscape to deliver capabilities that set industry standards and advance our mission.
• Optimize efficiency in a dynamic environment where adaptability and creative problem-solving are key.
• Independently source, analyze, and derive insights from data to inform decisions effectively, avoiding analysis paralysis and maintaining momentum.

The ideal candidate will demonstrate characteristics and experiences to include:

• 2+ years of product management or related industry experience, with a strong track record of expertise in Machine Learning.
• Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Statistics, or related background that involve AI/ML or statistical systems, or relevant industrial experiences in similar roles.
• Experiences in working with statistical systems and deep learning, demonstrating strong intuitions on how ML systems work
• Demonstrate the ability to run statistical experiments and evaluation, and deeply value the role of data and labels plays in these systems
• Demonstrated execution capabilities in fast-paced settings.
• Entrepreneurial mindset, thriving in high-growth environments with a willingness to take risks, iterate rapidly, and pursue ambitious objectives.
• High degree of self-motivation and commitment to continuous learning, along with strong ethical standards and integrity.
• Exceptional interpersonal skills with proven success in team-building, relationship management, and cross-functional collaboration.
• Proven communication skills

💰 Participation in the company’s employee share options plan

🏝 25 days holiday, plus bank holidays

🏡 Flexible working from home policy plus a one-off WFH allowance when you join

🌎 Work from outside of the UK for up to 6 months each year

🧡 Enhanced parental leave

📚 Yearly learning budget

🚲 Bike2Work scheme

📚 Annual learning and development allowance

🏡 One-off WFH allowance when you join

👨‍👩‍👧 Company-funded fertility and family-forming programmes

🌸 Menopause care programme with Maven

🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Equal Opportunity Statement:

PolyAI is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.