Associate, AI Product Strategy & Operation
The Opportunity: Learn to Drive AI at the Intersection of Tech & Finance
At Brightstar.AI, 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.
What You’ll Do
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.
What You’ll Need
3–5 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.
Nice-to-Haves
Background in private equity, VC, or digital transformation consulting.
Hands-on coding or scripting ability (Python preferred).
Familiarity with cloud/ML platforms (AWS Sagemaker, Azure ML, Databricks).
MBA or MS in a technical field is a plus.
Average salary estimate
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