Job Title: Head of Product (AI)
Reports To: CEO/Chief Product Officer
DW005
Role Overview:
As the Head of Product (AI), you will be responsible for shaping and executing the AI product strategy to drive value across our business. You will lead cross-functional teams in product development, work closely with key stakeholders across the business, and manage a growing AI product portfolio. You will ensure that AI initiatives are aligned with the company’s strategic goals, drive operational efficiencies, and foster innovation to deliver breakthrough solutions that have a measurable impact.
Key Responsibilities:
AI Product Strategy & Vision:
- Lead the AI product strategy, defining clear product roadmaps, aligning AI initiatives with the company’s overall business goals, and identifying market opportunities for AI-driven products and services.
Product Development & Lifecycle Management:
- Oversee the end-to-end lifecycle of AI products, from concept to launch, and ensure successful integration with existing business operations. Manage the iterative process of product innovation, balancing short-term and long-term goals.
Cross-functional Collaboration:
- Collaborate with key stakeholders, including senior leadership, engineering, data science, marketing, and sales teams, to ensure alignment and successful execution of AI product initiatives.
Customer-Centric Innovation:
- Develop a deep understanding of customer needs, behaviors, and pain points to ensure AI products address real-world problems, are user-centric, and deliver measurable value to the business.
Team Leadership & Development:
- Build and lead a high-performing product team, including AI specialists, product managers, and technical staff. Mentor and develop talent within the team and foster a culture of innovation, collaboration, and accountability.
Metrics & KPIs:
- Define and track key performance indicators (KPIs) to measure the success of AI products, ensuring that AI-driven solutions are aligned with business outcomes such as revenue growth, cost savings, customer satisfaction, and retention.
Private Equity Partnership:
- Work closely with private equity stakeholders to provide updates on AI product development, investment plans, and market trends. Communicate the value and strategic impact of AI initiatives to investors and help secure future funding to expand product offerings.
Market Research & Competitive Analysis:
- Stay up-to-date with emerging AI technologies, industry trends, and competitive landscape to maintain the company’s leadership in AI innovation.
Qualifications:
Experience:
- 7+ years of experience in product management, with a strong focus on AI or data-driven products in a fast-paced, high-growth environment.
- Proven track record of successfully leading AI product teams, developing AI solutions, and bringing them to market in a private equity-backed or tech-driven company.
- Strong experience working with private equity or venture capital stakeholders and understanding the dynamics of growing a business through investment.
Education:
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field. MBA or advanced degree preferred.
Skills & Expertise:
- Deep understanding of AI technologies, including machine learning, deep learning, natural language processing, and data analytics.
- Proven ability to translate complex technical concepts into clear business strategies and product roadmaps.
- Strong leadership, interpersonal, and communication skills with the ability to inspire and influence across all levels of the organization.
- Excellent analytical and problem-solving skills, with a focus on data-driven decision-making.
- Familiarity with Agile product development methodologies.
Leadership:
- A visionary leader who can manage multiple stakeholders, inspire teams, and influence the overall direction of AI strategy within the company.
- Strong business acumen, capable of balancing product goals with financial, operational, and customer objectives.
Private Equity/Investment Experience:
- Prior experience working with private equity-backed organizations and an understanding of how to drive value creation within a portfolio company.
- Comfort with managing high-level strategic discussions with investors and aligning product initiatives to broader business objectives.
