Strategy & Operations
About The Position
Our partner helps brands improve how they appear in AI search. They combine AI research, custom software, and hands-on execution to measure and increase a brand’s visibility across conversational AI platforms. The company works with a low volume of high-ACV enterprise customers and differentiates through deep customization, enterprise-grade attribution systems, and software that connects insights to real business outcomes. At the time of intake, the company was at roughly $1.5M ARR, had a $5–10M pipeline, and had raised $5M, operating with a lean, high-talent team in New York. They are building a category-defining business with a very high bar for talent, strong early traction, and meaningful enterprise adoption. This is a ground-floor opportunity for someone who wants direct founder exposure, real ownership, and the chance to work on high-impact problems at the intersection of AI, enterprise strategy, and product. This is a founding, full-stack operator role. From day one, you will work directly with founders, enterprise clients, and engineers to help turn the company’s software, data, and insights into meaningful outcomes for customers. The role is roughly a hybrid of consulting-style client work and product management. You will help manage enterprise customer relationships, onboard clients to the platform, drive strong results for those accounts, and help run highly customized client workflows. You will also work closely with the product and engineering teams to identify customer needs, shape product roadmap priorities, and help prototype ideas that allow the company to scale faster.
Requirements
- Strong academic and/or professional background
- Likely backgrounds include consulting, investment banking, private equity, venture capital, product management, analytics, data science, or startup strategy & ops
- Comfortable interfacing with enterprise clients
- Strong analytical thinker with a bias toward research, experimentation, and structured problem solving
- Comfortable working with large datasets and incomplete information
- Clear, concise communicator, especially in writing
- High-ownership and highly proactive
- Energized by fast-paced, high-expectation environments
- Curious about AI systems, search, attribution, and how companies win visibility in emerging channels
Nice To Haves
- Prior client-facing experience
- Experience in junior banking, consulting, or startup strategy/ops roles
- Strong interest in the AI search / attribution space
- Prestigious or high-performance background preferred
- Someone who is smart, practical, and able to move quickly in unstructured environments
Responsibilities
- Own relationships with a small number of enterprise customers
- Help onboard customers and guide them through the platform and customization process
- Use the platform and underlying data to drive meaningful business results for clients
- Translate real customer needs into product and platform improvements
- Partner closely with founders and engineers on roadmap and product decisions
- Research and test AI search strategies
- Extract insights from large datasets, research outputs, and imperfect information
- Help design new internal processes, products, or agents that improve scalability
- Operate in ambiguity and take ownership of strategic, analytical, and execution-heavy work
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
