Senior Forward Deployment Strategist

Responsibilities

Partner Closely with Customers

• Build trusted relationships with enterprise stakeholders across business, engineering, operations, risk, compliance, and security teams
• Understand customer workflows, operational pain points, and AI deployment priorities
• Identify and shape high-impact AI use cases aligned to measurable business outcomes
• Partner with customers to redesign business and operational processes around AI adoption, helping organizations streamline governance, evaluation, and approval workflows to accelerate the path from experimentation to production deployment

Drive Strategic AI Deployments

• Work closely with product and engineering teams to operationalize Dynamo’s products within enterprise environments
• Translate customer requirements into deployment strategies and implementation plans
• Help customers design scalable workflows around AI governance, evaluation, observability, and real-time guardrails
• Navigate ambiguity and unblock cross-functional execution across internal and customer teams
• Balance speed, technical feasibility, governance, and business impact during deployments

Bridge Business and Technical Teams

• Develop a strong understanding of enterprise AI systems, LLM deployment patterns, evaluation methodologies, and guardrail architectures
• Communicate technical concepts clearly to both executive and technical audiences
• Surface customer insights and deployment learnings back into product, engineering, and go-to-market teams
• Help shape scalable deployment playbooks and best practices across customer engagements

Support Commercial and GTM Efforts

• Partner with sales teams during strategic customer engagements, workshops, and pre-sales discussions
• Help customers understand the operational and organizational requirements for successful AI adoption
• Support enterprise expansion opportunities by identifying additional deployment pathways and use cases
• Drive measurable customer outcomes that contribute to long-term account growth and adoption

Requirements

• 5+ years of experience in strategy consulting, enterprise technology, solutions engineering, technical account management, product strategy, customer success, or related customer-facing roles
• Strong understanding of enterprise AI systems, APIs, cloud technologies, or deployment architectures
• Ability to engage credibly in both commercial and technical discussions
• Experience managing complex enterprise stakeholders and cross-functional initiatives
• Excellent communication, problem-solving, and executive presentation skills
• Demonstrated ability to drive initiatives from ambiguity to execution

Nice to Have

• Experience with Generative AI, LLM deployments, AI governance, AI evaluation, or guardrail systems
• Familiarity with enterprise AI observability, monitoring, or security workflows
• Experience working with regulated industries such as financial services, healthcare, or government
• Background in management consulting, enterprise SaaS, or technical implementation environments

Compensation

• Base Salary Range: $130,000 - $185,000 USD base