At a Glance
- Tasks: Lead the development of innovative AI products and collaborate with diverse teams.
- Company: Join TIAAGO, a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced culture with a commitment to continuous improvement and user-centric solutions.
- Why this job: Make a significant impact in AI and transform ideas into valuable products.
- Qualifications: Experience in product management with a focus on AI and strong communication skills.
The predicted salary is between 60000 - 75000 £ per year.
Description
TIAAGO is seeking a dynamic and visionary AI Product Manager to join our innovative team and lead the development and execution of cutting-edge AI-driven products.
In this role, you will play a pivotal part in shaping the future of our AI offerings by bridging the gap between advanced technology and user-centric solutions.
You will collaborate closely with cross-functional teams including engineering, design, data science, and marketing to drive product strategy, define roadmaps, and ensure successful product delivery that meets market demands and exceeds customer expectations.
The ideal candidate has a strong understanding of artificial intelligence technologies combined with robust product management experience, excellent communication skills, and a passion for innovation.
As an AI Product Manager at TIAAGO, you will be responsible for identifying new opportunities, analyzing market trends, prioritizing features based on user feedback and business goals, and fostering a culture of continuous improvement.
Join us to be at the forefront of AI innovation, helping to transform ideas into impactful products that create real value for our users and stakeholders worldwide.
This is an exciting opportunity for a motivated professional wanting to make a significant impact in a fast-paced, forward-thinking company.
Responsibilities
- Define and execute the AI product strategy and roadmap in alignment with company goals and market needs.
- Collaborate with engineering, design, and data science teams to develop and deliver AI-driven product features.
- Conduct market research and competitive analysis to identify new product opportunities and enhance existing offerings.
- Gather and prioritize product requirements from customers, stakeholders, and internal teams.
- Monitor product performance using data-driven metrics and make informed decisions to optimize user experience and business outcomes.
- Lead cross-functional teams through all phases of the product lifecycle, from conception to launch and iteration.
- Communicate effectively with stakeholders at all levels to ensure alignment and manage expectations.
Requirements
- Proven experience as a Product Manager, preferably with a focus on AI or machine learning products.
- Strong understanding of artificial intelligence concepts, technologies, and applications.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and market trends.
- Demonstrated ability to manage multiple priorities and deliver results in a fast-paced environment.
- Exceptional communication and interpersonal skills to collaborate with technical and non-technical teams.
- Experience with agile methodologies and product management tools.
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field; advanced degree is a plus.
AI Product Manager employer: Tiaago
TIAAGO is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an AI Product Manager to thrive. With a commitment to employee growth, TIAAGO offers numerous opportunities for professional development and encourages team members to push the boundaries of technology while delivering impactful solutions. Located in a vibrant tech hub, employees benefit from a dynamic work environment that values creativity and forward-thinking, ensuring that every contribution is recognised and rewarded.
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 Tiaago!
✨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 Tiaago 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 Tiaago 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 Tiaago. 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 Tiaago
✨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.
