Forward Deployed 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.
• Redesign business and operational processes around AI adoption, including governance, evaluation, and approval workflows.

Drive Strategic AI Deployments

• Work 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 an understanding of enterprise AI systems, LLM deployment patterns, evaluation methodologies, and guardrail architectures.
• Communicate technical concepts clearly to executive and technical audiences.
• Surface customer insights and deployment learnings to product, engineering, and go-to-market teams.
• Help shape scalable deployment playbooks and best practices.

Support Commercial and GTM Efforts

• Partner with sales teams during strategic customer engagements, workshops, and pre-sales discussions.
• Explain 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

• 2+ 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 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-Haves

• 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.