Overview
As an AI Strategist, you are the embedded AI leader for Cresta's customers. You connect customer conversations, business needs, and Cresta's AI capabilities into a prioritized plan and measurable results. You will not build AI Agents from scratch; Forward Deployed Engineers and Forward Deployed Product Managers create and deploy them.
What you'll do
- Identify automation and augmentation opportunities across the customer's contact center and wider customer experience operation.
- Prioritize initiatives by expected ROI and build a business case for each one.
- Build and maintain the customer's enterprise AI roadmap, keeping it current as priorities and Cresta capabilities change.
- Align stakeholders across CX, Operations, Product, Sales, and IT on priorities, sequencing, and success criteria.
- Use conversation data to surface customer friction and emerging trends before they show up in other metrics.
- Identify operational inefficiencies and the changes that would reduce them.
- Share Voice of Customer insights with customer leadership and with Cresta product teams.
- Measure business impact and report it in terms executives care about, such as containment, handle time, conversion, CSAT, and cost to serve.
- Stay current on new Cresta features and bring relevant ones to customers early.
- Pilot emerging AI capabilities, define how success will be judged, and decide with the customer whether to scale them.
- Optimize live AI Agents by analyzing performance, reviewing conversations, and recommending changes to prompts, workflows, and configurations.
- Coordinate deployments with FDEs, FDPMs, and customer teams, including milestones, timelines, and dependencies.
- Measure realized value after launch and report it back against the original business case.
What you'll need
- 5+ years in technology consulting, strategy, product, analytics, implementation, or customer success roles, ideally with AI or LLM-first products.
- A track record of building roadmaps, prioritizing by ROI, and writing business cases that senior stakeholders approve.
- Strong data skills: comfortable analyzing conversation or operational data, designing experiments such as A/B tests, and monitoring performance to refine solutions.
- Working knowledge of how LLM-based AI agents function, including prompts, tools or function calling, and retrieval-augmented generation.
- Experience leading cross-functional work and influencing senior customer stakeholders across CX, Operations, Product, Sales, and IT.
- Excellent written, verbal, and presentation skills; able to explain a complex finding to an executive in plain language.
- Strong project management skills and a bias for action.
- Curious, self-driven, and comfortable learning quickly in a fast-moving startup environment.
- Bachelor's degree in Business, Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
- Familiarity with customer support and contact center operations, including metrics such as AHT, FCR, containment, and QA.
- Experience with conversation intelligence, speech analytics, or voice-of-customer programs.
- Background in management consulting, product management, or forward deployed roles.
- Experience in a startup or high-growth SaaS environment.
- Comfort with SQL or a BI tool for self-serve analysis.
- Hands-on experience with an agent project, even a personal one.
Details
- Location: United States (Remote).
- Compensation: OTE range $150,000 to $200,000, plus equity, based on location and individual qualifications.
Read the full description and apply on the company’s own careers page.