Deployment Strategist

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