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.
Requirements
- 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
- Ability to understand the ML concepts and build great relationships with technical customers
- Exposure to enterprise AI or data infrastructure products.
Responsibilities
- Guide projects from the first conversation through delivery, expansion, and measurable business outcomes.
- Collaborate with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery.
- Lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects.
- Own relationships with key enterprise customers and ensure every engagement runs smoothly, delivers value, and grows over time.
- Manage delivery across multiple workstreams, ensuring timelines, quality standards, and SLAs are met.
- Identify and pursue new opportunities within existing accounts that drive measurable business impact.
- Collaborate with EPD, Finance, and Operations to remove blockers, drive efficiency, and continuously improve how we deliver.
Other
- 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 proven track record in building and expanding client relationships
- 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
- Deeper industry knowledge in healthcare, consumer, financial services
