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AI Product Manager (The Innovation Strategist) - job 1 of 2

Are you a visionary product leader who thrives on bringing cutting-edge AI solutions to life? Do you have a passion for driving innovation and turning complex machine learning concepts into user-friendly, impactful products? If you’re excited about shaping the future of AI-driven solutions and delivering real business value through product development, then our client has the perfect opportunity for you. We’re looking for an AI Product Manager (aka The Innovation Strategist) to guide the development of AI-powered products that transform industries and solve critical challenges.

As an AI Product Manager at our client, you’ll be the bridge between AI technology and business strategy. You’ll work closely with data scientists, engineers, and stakeholders to define product roadmaps, prioritize features, and ensure successful execution of AI initiatives. Your leadership will be essential in bringing AI projects from concept to reality, delivering products that users love and that drive tangible results.

Key Responsibilities:

  1. Product Vision and Strategy:
    • Develop and articulate a compelling product vision and strategy for AI-driven products. You’ll translate business objectives and market opportunities into a clear roadmap for AI products, ensuring alignment with company goals and user needs.
  2. Define Product Requirements:
    • Collaborate with data scientists, engineers, and business stakeholders to define detailed product requirements. You’ll specify the features, functionality, and technical constraints that guide the development of AI models and systems.
  3. Lead Cross-Functional Teams:
    • Work closely with engineering, data science, and design teams to ensure successful execution of AI projects. You’ll provide clear direction, remove roadblocks, and keep teams focused on delivering high-quality AI-powered solutions.
  4. Market Research and Competitive Analysis:
    • Conduct market research and competitive analysis to identify opportunities and trends in the AI landscape. You’ll ensure that your AI products are ahead of the curve, addressing market needs and differentiating from competitors.
  5. Prioritize Features and Manage Roadmaps:
    • Prioritize features and initiatives based on business impact, technical feasibility, and user value. You’ll manage the product roadmap, balancing short-term delivery with long-term strategic goals to ensure continuous progress.
  6. Data-Driven Decision Making:
    • Leverage data and analytics to guide product decisions and optimize performance. You’ll use data to measure the success of AI features, gather feedback, and refine product strategies to ensure continuous improvement.
  7. Stakeholder Communication:
    • Communicate product updates, timelines, and performance metrics to stakeholders, including executives, partners, and customers. You’ll ensure alignment across teams and manage expectations for the delivery of AI projects.

Required Skills:

  • AI and Machine Learning Knowledge: Strong understanding of AI technologies, including machine learning, natural language processing (NLP), and computer vision. You’re comfortable discussing AI concepts with data scientists and translating them into business value.
  • Product Management Expertise: Proven experience in managing the full product lifecycle, from ideation to execution, with a focus on AI or technology-driven products. You excel at defining product roadmaps, gathering requirements, and leading cross-functional teams.
  • Strategic Thinking and Market Insights: Ability to develop a strategic vision for AI products, based on market trends, user needs, and competitive analysis. You have a deep understanding of the AI landscape and know how to position products for success.
  • Data-Driven Decision Making: Experience using data and analytics to make informed product decisions. You’re skilled at setting KPIs, tracking performance, and adjusting strategies based on quantitative insights.
  • Collaboration and Communication: Excellent communication skills, with the ability to collaborate effectively with technical and non-technical teams. You can clearly explain complex AI concepts to stakeholders and ensure alignment across teams.

Educational Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Data Science, or a related field. MBA or equivalent experience in product management is highly desirable.
  • Certifications or coursework in AI, machine learning, or data science are a plus.

Experience Requirements:

  • 5+ years of experience in product management, with at least 2 years working on AI-driven or data-intensive products. You’ve successfully delivered AI solutions that had a measurable impact on business or user outcomes.
  • Proven experience working closely with data scientists and engineers to build and launch AI products in production environments.
  • Experience conducting market research, competitive analysis, and identifying product opportunities in the AI space.
  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.

Average salary estimate

$140000 / YEARLY (est.)
min
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$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Product Manager (The Innovation Strategist), Unreal Gigs

Are you an innovative trailblazer in the realm of AI, excited to lead product development with The Innovation Strategist? Our client is on the lookout for an AI Product Manager who embodies this visionary spirit and is ready to transform ideas into reality. As an AI Product Manager, your role will encompass defining product roadmaps while ensuring they align perfectly with business objectives and user experiences. Your journey will involve collaborating with data scientists, engineers, and business stakeholders, to craft detailed product requirements that guide the development of cutting-edge AI models. You’ll dive into market research and competitive analysis, making sure our AI products are not only relevant but also ahead of the curve. Your leadership will shine through as you work with cross-functional teams, removing roadblocks and navigating the complexities of AI technologies like machine learning and NLP. Plus, your adept use of data-driven decision-making will empower you to optimize product performance continuously. If you have over 5 years of product management experience and a passion for AI, this is the perfect opportunity to step into a role where your vision can have a significant impact on industries globally. Let’s shape the future of AI solutions together!

Frequently Asked Questions (FAQs) for AI Product Manager (The Innovation Strategist) Role at Unreal Gigs
What are the responsibilities of an AI Product Manager at The Innovation Strategist?

As an AI Product Manager at The Innovation Strategist, your responsibilities include developing a compelling product vision, defining product requirements, leading cross-functional teams, and conducting market research. You will prioritize features based on business impact and maintain the product roadmap to ensure alignment with user needs and strategic goals.

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What qualifications do I need to become an AI Product Manager with The Innovation Strategist?

To qualify as an AI Product Manager at The Innovation Strategist, candidates should have a Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field. Additionally, having 5+ years of product management experience, particularly in AI-driven or data-intensive products, is essential.

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How does The Innovation Strategist support the professional development of AI Product Managers?

The Innovation Strategist prioritizes professional development through training opportunities, certification reimbursements, and career advancement programs. This ensures that AI Product Managers can stay updated on the latest technologies and enhance their skill sets.

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What type of collaboration can an AI Product Manager expect at The Innovation Strategist?

An AI Product Manager at The Innovation Strategist is expected to collaborate closely with data scientists, engineers, and various business stakeholders. This cross-functional teamwork is vital for successfully executing AI projects and ensuring that product developments align with market trends.

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What benefits does The Innovation Strategist offer for AI Product Managers?

AI Product Managers at The Innovation Strategist enjoy a comprehensive benefits package, including medical, dental, and vision insurance, paid time off, flexible work schedules, and access to wellness programs, contributing to an excellent work-life balance.

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Common Interview Questions for AI Product Manager (The Innovation Strategist)
What experience do you have in managing AI-driven product lifecycles?

When answering this question, provide specific examples of AI products you've managed, detailing the full product lifecycle from ideation to execution. Discuss measurable outcomes to illustrate your impact.

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Can you explain how you prioritize features in a product roadmap?

A solid answer should highlight your decision-making process, emphasizing criteria such as business impact, user feedback, and technical feasibility. Be ready to provide instances where your prioritization significantly affected product success.

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How do you ensure cross-functional teams stay aligned on AI projects?

Discuss your communication strategies, such as regular check-ins, clear documentation, and tools used for tracking project progress. Share specific examples of how these practices helped maintain alignment.

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Describe a challenging project you handled in AI product management.

Focus on the competitive and technical challenges you faced. Describe the actions you took to overcome these obstacles, what you learned, and how it improved your product management skills.

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What is your approach to conducting market research for AI products?

Explain your methods for gathering market insights, including using relevant tools, customer interviews, and analyzing competitor strategies. Highlight a successful application of your research to drive product success.

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How do you integrate user feedback into the product development process?

Detail how you collect and analyze user feedback and how it influences your product iterations. Providing a real-world example where feedback led to a product enhancement would strengthen your answer.

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What metrics do you consider most important for measuring the success of an AI product?

Discuss key performance indicators (KPIs) such as user engagement, retention rates, and quantitative user feedback. Emphasize how these metrics inform your decisions and strategies.

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Can you give an example of a time you had to pivot in product development?

Share a specific experience where market conditions or feedback necessitated a change in your product’s strategy. Explain how you managed the transition and what was the outcome.

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How do you stay updated on the latest trends and developments in AI technology?

Mention your methods, such as following industry leaders, participating in forums, attending conferences, or taking courses. This showcases your commitment to continuous learning in the evolving AI landscape.

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What is your experience working with data scientists and engineers?

Highlight your collaborative approaches with technical teams, focusing on how you bridge the gap between technical requirements and business needs. Include examples of successful partnerships that led to thriving AI products.

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DATE POSTED
December 25, 2024

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