AI Principal Product Manager

at  Zellis

SKILLS & EXPERIENCE

Essential skills and behaviours:

• Able to influence / communicate with senior stakeholders.
• Have a passion for solving customer needs with AI technology.
• Strategic and structured thinking to develop and drive product strategy.
• A creative force yourself, but equally able to facilitate a creative dialog and stimulate others to be creative drivers, as well to identify new solutions to customers’ needs.
• Ability to build strong relationships within Zellis and with partners.
• Persistent in bringing strong evidence, with clear communication and influence to mobilise Zellis to deliver great solutions to customer needs.
• Bring a growth mindset, challenging team members to move to best practice and being open to learning from others.
• Smart and restlessly curious to learn new products, technology and business processes (with a solid understanding of these and the commercials of a software organisation).
• Able to pivot from 30,000ft product strategy with senior leadership to 1,000ft product detail with a development team.

Critical competencies:

• Experience operating as a senior member of a product management team.
• Ability to develop and manage a product roadmap end-to-end from discovery to delivery. Able to demonstrate delivery across multiple Engineering teams.
• Experience in HR software / payroll / fintech sectors.
• Preferably knowledge of B2B2C.
• Experience working with external partners across multiple geographic locations.
• Experience communicating and managing senior stakeholders across the business (including Chief Product Officer and Engineering Directors).
• Significant curiosity into AI and how to operationalise from proof of concept.

People leadership:
As a Principal Product Manager you will not directly manage any other colleagues, but we will be looking to you to provide support and potentially mentorship to others. You may well coordinate and prioritise the tasks of others who are not direct reports.

As Principal Product Manager for AI you’ll be a leading member of Zellis’ agile Product Management team and will be responsible for leading our ambitious project to incorporate AI into our HR products and services. You’ll work with our own Engineering teams as well as a third-party development partner to deliver innovative and effective AI solutions that meet our customers’ needs and expectations. You’ll also coordinate other Zellis teams and functions to ensure a smooth and successful launch of our AI offering. This role will require strong product and project management experience, an excitement and curiosity for the potential of AI, and effective communication skills.

Key responsibilities will include:

• AI product discovery: Maintaining the product vision, strategy and roadmap for AI and developing it with the CPO and other stakeholders. Working closely with Product colleagues and Engineering to identify and validate the most impactful and feasible AI use cases and solutions for our applications and services. Leveraging customer input and market research to support this.
• AI product prioritisation: Turning the product vision into action by working with the Engineering teams and the third-party development partner to ensure that planned work is underpinned by clear user stories and acceptance criteria. Managing the dependencies and risks between the internal and external teams and stakeholders.
• AI product delivery: Supporting Engineering teams by helping to remove blockers, and ensuring that product delivery is on time and meets customer needs. Ensuring that the AI solutions are aligned with our quality standards, ethical principles, and regulatory requirements.
• AI product go-to-market: Coordinating other Zellis functions to ensure successful product release and adoption by initial customers and the market. Owning and executing the overall launch plan, including marketing, sales, training, customer implementation, IT and support activities.
• AI product in-life: Monitoring product performance, including NPS and usage, identifying opportunities for improvement to feed into the product backlog.