Senior Product Manager, Machine Learning (must be UK based)

As a Senior Product Manager in Machine Learning at PolyAI, your key responsibilities include guiding the product roadmap for user-facing applications, overseeing go-to-market activities for new features, and maintaining a market-aware perspective to deliver differentiated product experiences. You'll also build evaluation frameworks for machine learning features and collaborate with cross-functional teams to solve client requests swiftly.

To qualify for the Senior Product Manager role in Machine Learning at PolyAI, candidates should have at least 4 years of experience in product management or a related field, with a robust understanding of machine learning paradigms. A Bachelor’s degree in Computer Science, Engineering, Statistics, or a related discipline is essential. Additional experience with statistical systems and deep learning will greatly benefit applicants.

At PolyAI, we believe in continuous learning and professional development. As a Senior Product Manager, you'll have access to a yearly learning budget and an annual learning and development allowance, allowing you to attend seminars, workshops, and courses that enhance your skills in product and machine learning management.

The work environment at PolyAI is dynamic and supportive, designed to foster collaboration and innovation. As a Senior Product Manager, you'll work in a flexible setting with remote work options, and a focus on building a positive team culture across various disciplines, including engineering and design.

As a Senior Product Manager at PolyAI, you'll have the chance to shape the future of our conversational AI platform and impact our strategic direction. With our focus on talent development, there are ample opportunities for career progression within the company, especially in high-growth areas related to AI and customer service.

When prioritizing features, I assess them based on customer impact, alignment with business goals, and the resources required. I also collaborate with stakeholders to understand their needs and integrate feedback, ensuring we focus on high-value items that drive our product success.

In my previous roles, I've actively worked with machine learning models, where I build frameworks for evaluating their performance. I'm experienced in identifying the strengths and weaknesses of different models, and I understand when to apply specific models to meet product requirements effectively.

I believe effective communication and fostering relationships are essential. I facilitate regular meetings, document discussions, and ensure transparency among team members. By creating an environment that encourages open dialogue, I help align goals and cultivate collaboration across functions.

My leadership style is collaborative and inclusive. I empower team members by valuing their insights while focusing on creating a shared vision. I encourage innovative thinking and hold regular feedback sessions to enhance team engagement and performance.

I actively stay informed through industry blogs, research papers, and conferences. I also participate in webinars and professional networks that specialize in AI and ML discussions, helping me integrate new trends and best practices into my product strategies.

In a previous position, I led a project that faced significant scope changes mid-way. To manage this, I reassessed timelines and collaborated closely with my team, refocused on key priorities, and effectively communicated with stakeholders to maintain alignment and ensure project success.

I utilize a mix of quantitative and qualitative metrics, including user engagement analytics, customer feedback, and performance indicators. Post-launch, I review these metrics regularly and make data-driven adjustments to enhance the user experience and product value.

I identify potential risks early in the product lifecycle by engaging with the team and analyzing past projects. I maintain a risk register, perform assessments regularly, and develop mitigation strategies to address any emerging issues proactively.

Customer feedback is crucial in my process. I prioritize gathering insights through surveys, interviews, and usability testing sessions. This feedback informs my decision-making and ensures our product features genuinely meet user needs and expectations.

I encourage a culture of innovation by creating a safe environment where team members can share ideas without judgment. I regularly hold brainstorming sessions and innovation workshops to ignite creativity, and I recognize and reward innovative contributions to motivate my team.