Associate, AI Product Strategy & Operations

Associate, AI Product Strategy & Operations

The Opportunity:

Learn to Drive AI at the Intersection of Tech & Finance

• , Associates under the CAIO are apprentice product leaders. You will work directly with AI Product Managers and Engineers on high‑stakes transformation projects inside portfolio companies — building AI systems that create millions in EBITDA uplift and measurable ROI.
• This role is designed for early‑career professionals (3–5 years) with a mix of technical grounding, exposure to AI/ML, and experience in private equity, venture capital, or consulting environments. Associates are expected to learn fast, contribute immediately, and grow into full Product Manager or Engineer roles within 24 months.

• Support Product Strategy:
  Assist in building AI product roadmaps, business cases, and financial models.
• Contribute to AI Builds:
  Work with engineers to define requirements, test prototypes, and support deployments.
• Bridge Business & Tech:
  Translate business challenges into structured product requirements and user stories.
• Analyze Impact:
  Track performance of deployed AI systems and link results directly to P&L impact.
• Shadow & Learn:
  Work alongside senior Product Managers and Engineers to learn full‑lifecycle product delivery.
• Stakeholder Support:
  Participate in C‑suite workshops, capturing insights and translating them into action items.

• 2–5 years in consulting, product, investment, or engineering roles.
• Exposure to AI/ML concepts (LLMs, RAG, predictive analytics) and business applications.
• Strong financial literacy (ROI, P&L, EBITDA) with the ability to build Excel or SQL‑based models.
• Experience with digital product workflows (agile sprints, user stories, testing).
• Strong communication skills, especially for translating complex technical topics into business terms.

• Background in private equity, VC, or digital transformation consulting.
• Hands‑on coding or scripting ability (Python preferred).
• Familiarity with cloud/ML platforms (AWS Sage Maker, Azure ML, Databricks).
• MBA or MS in a technical field is a plus.