At a Glance
- Tasks: Lead the development of AI-powered products from strategy to launch and collaborate with diverse teams.
- Company: Join a forward-thinking company that values innovation and teamwork.
- Benefits: Enjoy health insurance, flexible work arrangements, paid time off, and a learning budget.
- Other info: Dynamic team culture focused on continuous learning and collaboration.
- Why this job: Make a real impact in the AI space while developing your skills and career.
- Qualifications: Experience in product management and understanding of AI/ML capabilities is essential.
The predicted salary is between 63000 - 77000 £ per year.
The AI Product Manager will define product strategy and lead the development of AI-powered products from discovery through launch. The role involves translating customer and business needs into product requirements, prioritising the product roadmap, collaborating with engineering and data science teams, and evaluating AI product performance.
The successful candidate should understand AI/ML capabilities and limitations, communicate effectively with technical and non-technical stakeholders, and deliver measurable customer and business value.
- Responsibilities:
- Define product vision, strategy, roadmap, and measurable objectives.
- Gather customer requirements and identify product opportunities.
- Convert business needs into user stories and acceptance criteria.
- Prioritise features using business value, effort, risk, and customer impact.
- Collaborate with AI engineers, ML engineers, designers, and data scientists.
- Define success metrics and monitor product performance.
- Coordinate product testing, user acceptance testing, and product launches.
- Evaluate AI output quality, reliability, and user experience.
- Maintain product documentation and communicate roadmap changes.
- Collect feedback and continuously improve released features.
What we evaluate against:
- Product Strategy and Roadmap Ownership:
- Sets a clear product vision and strategy aligned to business goals.
- Builds and maintains a prioritised roadmap with measurable objectives.
- Leads products through the full lifecycle from discovery to launch.
- Requirements Gathering and Feature Prioritisation:
- Gathers customer requirements and identifies product opportunities.
- Converts business needs into user stories and acceptance criteria.
- Prioritises features using value, effort, risk, and customer impact criteria.
- Understanding of AI/ML Capabilities and Limitations:
- Demonstrates working knowledge of AI/ML capabilities, constraints, and failure modes.
- Evaluates AI output quality, reliability, and user experience.
- Makes product trade-offs informed by model behaviour and data considerations.
- Cross-Functional Collaboration and Communication:
- Collaborates effectively with engineering, data science, and design teams.
- Communicates roadmap changes and product decisions to diverse stakeholders.
- Performance Measurement and Continuous Improvement:
- Defines success metrics and monitors product performance against them.
- Coordinates product testing, user acceptance testing, and launches.
- Collects feedback and iterates on released features to deliver measurable value.
Team dynamics:
- Cross-functional collaboration with data scientists, AI engineers, software developers, and product teams.
- Weekly sprint planning, model performance reviews, technical discussions, and progress updates.
- Data-driven collaboration focused on experimentation, knowledge sharing, and joint problem-solving.
- Clear, evidence-based communication of model performance, technical risks, and recommendations.
- Decisions supported by model evaluation results, experimental evidence, data quality, and business requirements.
- Documented experiments, model versions, evaluation metrics, technical decisions, and implementation processes.
Company culture:
- Ownership: Employees take responsibility for AI initiatives, technical decisions, and measurable business outcomes.
- Feedback: Teams share constructive feedback through model reviews, code reviews, and product retrospectives.
- Transparency: AI decisions, model limitations, experiment results, and project risks are communicated openly.
- Learning Culture: Employees continuously develop skills in machine learning, data science, model evaluation, and responsible AI.
What success looks like:
- First 30 days: The AI Product Manager has reviewed existing product strategy, roadmap, and backlog, met with engineering, data science, and design stakeholders, and identified early opportunities and risks in current AI product performance.
- 90 days: The AI Product Manager has established or refined a prioritised roadmap with clear success metrics, translated key customer and business needs into actionable user stories, and coordinated at least one round of testing or a feature launch with cross-functional teams.
- Outcomes: The AI Product Manager consistently delivers AI-powered features that meet defined success metrics, maintains a roadmap that balances customer impact with technical feasibility, and drives continuous improvement through feedback-informed iteration and reliable cross-team collaboration.
AI Product Manager employer: PathwaysX, Inc.
PathwaysX, Inc. provides a supportive work culture with a focus on employee wellbeing and professional development. The company offers competitive benefits, including private healthcare and stock options, making it an attractive employer for those looking to grow in the AI sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like PathwaysX, Inc.!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at PathwaysX, Inc. would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at PathwaysX, Inc. through your school's career services!
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager position at PathwaysX, Inc.. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at PathwaysX, Inc.
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
