Deployment Strategist
Lead end-to-end deployments of AI voice agents for enterprise customers, guiding strategy through execution while partnering with Product, Engineering, and Sales. Requires strong customer-facing experience in implementation, solutions consulting, or product roles.
About the job
Key Responsibilities
- Lead end-to-end customer deployments from discovery through production launch, owning project execution, stakeholder communication, risk management, and successful delivery.
- Partner directly with customers to understand business goals, gather requirements, and translate them into scalable AI-powered workflows.
- Become a subject matter expert in Retell's platform, voice AI best practices, and LLM prompting techniques.
- Design conversational workflows, automation strategies, and deployment architectures that deliver measurable business outcomes.
- Build prototypes, validate use cases, and guide customers through implementation tradeoffs and optimization opportunities.
- Act as a trusted advisor to executives and operational leaders, helping them identify opportunities to leverage AI across their organizations.
- Lead discovery sessions, business process reviews, and strategic planning conversations with customer stakeholders.
- Build ROI models and business cases that quantify the impact of AI automation and help customers prioritize initiatives.
- Partner closely with Sales during pre-sales engagements, solution scoping, and customer presentations.
- Coordinate across Product, Engineering, and Customer Success teams to unblock deployments and ensure customer success.
- Communicate project progress, risks, recommendations, and next steps clearly to both technical and non-technical audiences.
- Translate customer feedback into actionable product recommendations and help shape the future direction of the Retell platform.
- Develop repeatable deployment playbooks, best practices, and frameworks that enable customers to deploy voice AI successfully at scale.
Requirements
- Exceptional communication skills and ability to quickly build credibility with executives, operators, and technical teams.
- Experience acting as a trusted advisor and influencing decisions across multiple stakeholders.
- Strong product intuition and experience understanding customer workflows, identifying pain points, and designing scalable solutions.
- Ability to balance technical implementation details with business outcomes and strategic thinking.
- Experience thriving in ambiguous environments and creating structure where none exists.
- Strong ownership mentality and willingness to drive successful outcomes.
- Experience managing complex projects with multiple stakeholders and competing priorities.
- Highly organized, execution-oriented, and able to move initiatives from concept to production.
- Experience in deployment, implementation, solutions consulting, product management, forward deployed engineering, strategic consulting, or other customer-facing technology roles.
- Experience writing requirements, implementation plans, PRDs, or project specifications.
- Experience building business cases, performing ROI analysis, or conducting value-based solution scoping.
- Excitement about AI, LLMs, voice technology, and helping customers adopt cutting-edge technologies.
- Comfort navigating technical conversations even if not a full-time engineer.
- Experience learning new systems, becoming a domain expert, and solving difficult customer problems.
Nice-to-Haves
- Experience operating at the intersection of technology, product, strategy, and customer success at a fast-growing AI company.
Compensation & Benefits
- Cash: $170k - $260k
- Equity provided
- 100% coverage for medical, dental, and vision insurance
- $70/day DoorDash credit
- $200/month wellness reimbursement
- $300/month commuter reimbursement
- $75/month phone bill reimbursement
- $50/month internet reimbursement
Skills
Ai Deployment, Llm Prompting, Roi Modeling, Business Case Development, Project Management, Stakeholder Management, Solutions Consulting, Workflow Design, Voice Ai, Customer Success
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