Deployment Strategist

Open Systems Technologies; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Open Systems Technologies in San Francisco seeks a customer deployments leader to drive AI programs from discovery to production, owning execution, risk management, and delivery. You will partner with customers to translate goals into scalable AI workflows and become an expert in our platform and voice AI practices.

You will design deployment architectures, build prototypes, and guide ROI-focused decisions across product, engineering, and customer success teams, ensuring measurable business

Qualifications

• Exceptional communication skills with executives, operators, and technical teams.
• Ability to balance technical implementation details with business outcomes and strategic thinking.
• Experience in deployment, solutions consulting, product management, or other customer-facing technology roles.

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 company'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 company platform.
• Develop repeatable deployment playbooks, best practices, and frameworks that enable customers to deploy voice AI successfully at scale.

Skills

Executive communication

Stakeholder management

Business process analysis

Strategic thinking

Problem solving

Job description

• 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 company'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 company platform.
• Develop repeatable deployment playbooks, best practices, and frameworks that enable customers to deploy voice AI successfully at scale.

Qualifications:

• Exceptional communication skills and can quickly build credibility with executives, operators, and technical teams.
• Enjoy acting as a trusted advisor and influencing decisions across multiple stakeholders.
• Have strong product intuition and enjoy understanding customer workflows, identifying pain points, and designing scalable solutions.
• Can balance technical implementation details with business outcomes and strategic thinking.
• Thrive in ambiguous environments and enjoy creating structure where none exists.
• Have a strong ownership mentality and are willing to do whatever is necessary to drive successful outcomes.
• Enjoy managing complex projects with multiple stakeholders and competing priorities.
• Are highly organized, execution-oriented, and able to move initiatives from concept to production.
• Have experience in deployment, implementation, solutions consulting, product management, forward deployed engineering, strategic consulting, or other customer-facing technology roles.
• Have experience writing requirements, implementation plans, PRDs, or project specifications.
• Have experience building business cases, performing ROI analysis, or conducting value-based solution scoping.
• Are excited about AI, LLMs, voice technology, and helping customers adopt cutting-edge technologies.
• Enjoy learning new systems, becoming a domain expert, and solving difficult customer problems.
• Are comfortable navigating technical conversations even if you are not a full-time engineer.
• Want to operate at the intersection of technology, product, strategy, and customer success at one of the fastest-growing AI companies.