Dark Wolf Solutions is seeking a dynamic and experienced Product Manager to lead the vision, strategy, and execution for our AI/ML Data Factory. You will be responsible for understanding customer needs, defining product requirements, and working collaboratively with engineering, data science, and other stakeholders to deliver a best-in-class AI/ML platform. You will be the advocate for the product, driving its adoption and ensuring its success. Tasks may include assisting with:

• Defining and communicating the product vision, strategy, and roadmap for the AI/ML Data Factory.
• Conducting market research and competitive analysis to identify opportunities and unmet needs.
• Gathering and prioritizing product requirements from users, customers, stakeholders, and internal teams.
• Working closely with product design to create product workflows to meet user needs.
• Creating and maintaining product specifications, user stories, and acceptance criteria.
• Managing the product backlog and prioritizing features based on business value and customer impact.
• Working closely with engineering, data science, and other teams to ensure successful product development and launch.
• Tracking user adoption and product scaling requirements.
• Monitoring product performance and identifying areas for improvement.
• Developing and executing roll out strategies for new features and capabilities.
• Serving as a product evangelist and educating internal and external stakeholders on the benefits of the AI/ML Data Factory.
• Tracking key performance indicators (KPIs) and reporting on product progres, performance, and resources.

Required Qualifications:

• 5+ years of experience in product management, with a focus on data platforms, AI/ML solutions, or cloud services
• 2+ years of experience working with AI/ML technologies and concepts
• Strong understanding of the AI/ML lifecycle and the challenges of building and deploying AI/ML solutions
• Proven ability to define and launch successful products. Excellent communication, presentation, and interpersonal skills
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team
• Experience with Agile development methodologies
• Ability to translate complex technical concepts into clear and concise language
• Comfortable in a project startup environment, demonstrating adaptability and initiative
• US Citizenship and a Top Secret Security clearance.

DESIRED QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Business Administration, or related field
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services
• Experience with data governance and data security principles
• Technical proficiency in AI/ML concepts and technologies
• Experience working with data scientists and AI/ML engineers
• Previous experience supporting the DoD
• This is an exciting opportunity to shape the future of AI/ML within our organization
• If you are a passionate and experienced Product Manager with a strong understanding of the AI/ML landscape, we encourage you to apply
  This role is based out of Tampa, FL. The salary range for this position is estimated to be between $150,000.00 - $170,000.00, commensurate on experience and technical skillset.
  We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

• Defining and communicating the product vision, strategy, and roadmap for the AI/ML Data Factory.
• Conducting market research and competitive analysis to identify opportunities and unmet needs.
• Gathering and prioritizing product requirements from users, customers, stakeholders, and internal teams.
• Working closely with product design to create product workflows to meet user needs.
• Creating and maintaining product specifications, user stories, and acceptance criteria.
• Managing the product backlog and prioritizing features based on business value and customer impact.
• Working closely with engineering, data science, and other teams to ensure successful product development and launch.
• Tracking user adoption and product scaling requirements.
• Monitoring product performance and identifying areas for improvement.
• Developing and executing roll out strategies for new features and capabilities.
• Serving as a product evangelist and educating internal and external stakeholders on the benefits of the AI/ML Data Factory.
• Tracking key performance indicators (KPIs) and reporting on product progres, performance, and resources