Scale’s Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world’s most important decisions. As an AI Deployment Strategist you will be right at the center of it, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take full ownership of our deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results.
In this role, you will work directly with data, engineering, business and AI leaders at some of the world’s top Enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery.
This is a fast-moving, high-impact role that blends customer strategy, operations, product strategy and execution. You will lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects.
You will own:
- Client Leadership & Growth: Own relationships with key enterprise customers and ensure every engagement runs smoothly, delivers value, and grows over time.
- Flawless Delivery & Execution: Manage delivery across multiple workstreams, ensuring timelines, quality standards, and SLAs are met.
- Strategic Account Expansion: Identify and pursue new opportunities within existing accounts that drive measurable business impact.
- Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations to remove blockers, drive efficiency, and continuously improve how we deliver.
- Strategic Feedback Loop: Synthesize and communicate insights from customer engagements to help inform the long-term product roadmap and strategic direction.
- Mastering Complexity & Ambiguity: Bring structure, clarity, and momentum to complex projects in dynamic environments.
Ideally, you’d have:
- 5+ years of work experience in high-growth, high-ambiguity environments. Successful candidates have had experience in MBB consulting, banking or private equity or as a technical product or program management role in the tech industry, but we are open to alternative profiles.
- A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field)
- Exposure to GenAI solutions via your current role or personal projects
- A proven track record in building and expanding client relationships
- Ability to understand the ML concepts and build great relationships with technical customers
- Great cross-functional experience and collaborative ability
- Excellent verbal and written communications
- A track record of structured, analytics-driven problem solving
- A history of diligence and organization across multiple work streams
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
- Willingness to travel up to 50% depending customer and deployment needs
Nice to have:
- Exposure to enterprise AI or data infrastructure products.
- Deeper industry knowledge in healthcare, consumer, financial services
