As an AI Deployment Strategist at Scale, you will be at the centre of developing reliable AI systems for the world's most important decisions. You will help 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.
Key responsibilities include:
- 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: Synthesise 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.
- 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 organisation 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 on customer and deployment needs.
Nice to have:
- Exposure to enterprise AI or data infrastructure products.
- Deeper industry knowledge in healthcare, consumer, financial services.
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