Product Manager - Machine Learning

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PolyAI

WebsiteLinkedInAll Job Openings

Machine Learning • Conversational AI • Voice experiences • Voice Assistants • Customer experience

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🏢 Enterprise

📡 Telecommunications

Description

• 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. • We seek an innovative, design-focused, growth-focused product manager to help make PolyAI the best conversational AI platform. • You will guide roadmap planning for our user-facing products, and oversee go-to-market activities for new features in the portfolio. • You will need to influence peers on new product introductions, run the operational practices, and oversee execution for your product areas.

Requirements

• 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

Benefits

• 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