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For Companies At a Glance
- Tasks: Lead product innovation and manage the lifecycle of intelligent document processing solutions.
- Company: Join a forward-thinking tech company focused on AI-driven products and services.
- Benefits: Enjoy flexible work options, professional development opportunities, and a vibrant team culture.
- Why this job: Be at the forefront of AI technology, driving impactful solutions and collaborating with diverse teams.
- Qualifications: Bachelor's degree or equivalent, with extensive experience in product management and data-driven decision making.
- Other info: Willingness to travel up to 50% is required for this role.
The predicted salary is between 43200 - 72000 £ per year.
The Product Manager will manage the direction and market delivery of existing products and will identify new products, product features, product strategy, and relevant services.
What you will be doing
- Drive product innovation to establish and maintain the platform product roadmap and program-level features backlog; prioritise appropriate features to maximise resource utilisation and meet customer needs.
- Use industry data to quantify market opportunities and product profitability; participate in customer sessions and primary analyst research to develop product vision and roadmap.
- Manage work prioritisation across the program aligned with current and future priorities and business plans.
- Lead the product lifecycle management of platform capabilities and features; use data to build business cases and inform investment decisions.
- Determine effective delivery methods for products and capabilities; validate and present buy, build, and partner options.
- Collaborate with technical teams to define business features and requirements; ensure backlog management and development progress adhere to timelines.
- Communicate the concept of a minimally viable product to software architecture leads for execution.
- Coordinate release readiness activities across departments to ensure successful launches.
- Support product launch through training, evangelisation, and assisting in sales and marketing efforts.
- Build and maintain strategic relationships with customers and advisory groups; promote product adoption.
- Mentor, coach, and train team members.
- Contribute as an innovative thought leader, sharing knowledge and best practices to enhance department growth and quality.
What will make you successful
- Bachelor's degree or equivalent experience.
- Extensive experience making data-driven decisions that enable high growth.
- Comprehensive experience with product lifecycle management from conception to launch.
- Deep expertise in technology product management.
- Strong knowledge of the software development lifecycle.
- Experience in Intelligent Document Processing.
- Analytic and strategic thinking skills, with solid decision-making abilities.
- Excellent communication skills, demonstrating professionalism and the ability to interact with cross-functional teams and leadership.
- Ability to influence, motivate, and mobilise teams and partners.
- Proven collaboration skills across different organisational levels.
- Expertise in system and procedure analysis and problem resolution.
- Exceptional organisational and prioritisation skills in dynamic environments.
- Leadership and business acumen capable of engaging senior leadership.
- Ability to drive product vision, go-to-market strategies, and design discussions.
- Passionate, competitive, and intellectually curious.
- Commitment to continuous professional learning.
- Willingness to travel up to 50% of the time.
AI Product Manager - Intelligent Document Processing employer: Hyland
Contact Detail:
Hyland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager - Intelligent Document Processing
✨Tip Number 1
Familiarise yourself with the latest trends in Intelligent Document Processing. Understanding the current market landscape and emerging technologies will help you speak confidently about product innovation during interviews.
✨Tip Number 2
Network with professionals in the AI and product management fields. Attend industry events or webinars to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss your experience with data-driven decision-making. Be ready to share specific examples of how you've used analytics to drive product strategy and improve outcomes in previous roles.
✨Tip Number 4
Showcase your leadership skills by preparing examples of how you've successfully collaborated with cross-functional teams. Highlight instances where you've influenced stakeholders and driven product vision to align with business goals.
We think you need these skills to ace AI Product Manager - Intelligent Document Processing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, especially in areas like Intelligent Document Processing. Use specific examples that demonstrate your ability to drive product innovation and manage the product lifecycle.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and product management. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your experience with data-driven decision-making and collaboration with technical teams.
Showcase Your Analytical Skills: Provide examples of how you've used data to inform product strategy and decision-making. Highlight any experience you have with market analysis or quantifying product profitability, as these are key aspects of the role.
Prepare for Potential Questions: Think about how you would answer questions related to product vision, go-to-market strategies, and your approach to mentoring team members. Be ready to discuss your leadership style and how you influence cross-functional teams.
How to prepare for a job interview at Hyland
✨Showcase Your Data-Driven Decision Making
As an AI Product Manager, you'll need to demonstrate your ability to make data-driven decisions. Prepare examples from your past experiences where you used data to influence product strategy or improve outcomes. This will show your analytical skills and strategic thinking.
✨Understand the Product Lifecycle
Familiarise yourself with the entire product lifecycle, especially in the context of Intelligent Document Processing. Be ready to discuss how you've managed products from conception to launch, and how you prioritised features based on customer needs and market opportunities.
✨Communicate Effectively with Cross-Functional Teams
Excellent communication skills are crucial for this role. Practice articulating complex ideas clearly and concisely, especially when discussing technical requirements with software architecture leads. Highlight any past experiences where you successfully collaborated with diverse teams.
✨Demonstrate Leadership and Mentorship Skills
The role requires mentoring and coaching team members. Prepare to discuss your leadership style and provide examples of how you've motivated and influenced teams in previous roles. This will showcase your ability to engage and mobilise others towards a common goal.
