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Dynamo AI

Forward Deployed Strategist

Posted 22 Days Ago
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In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
Drive enterprise AI deployments from experimentation to production by identifying use cases, shaping implementation strategies, redesigning operational workflows, and coordinating customers, sales, product, and engineering teams. Translate technical AI capabilities into business outcomes while addressing governance, reliability, security, observability, and performance requirements. Support strategic engagements, workshops, expansion opportunities, and scalable deployment playbooks.
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About Dynamo AI

At Dynamo AI, we help enterprises deploy AI systems that are reliable, secure, observable, and production-ready.


As organizations accelerate adoption of Generative AI, they face growing challenges around reliability, governance, latency, safety, compliance, and operational control. Dynamo AI provides the infrastructure, evaluation frameworks, and real-time guardrails that allow enterprises to confidently operationalize AI at scale.


We work with enterprises and regulated industries to bridge the gap between AI experimentation and production deployment — enabling organizations to deploy AI systems safely, efficiently, and responsibly.


The Forward Deployment Strategist (FDS) is a high-impact, technical-commercial hybrid responsible for the successful operationalization of Dynamo within our most strategic accounts. You will act as the bridge between Dynamo’s engineering capabilities and our customers’ business imperatives. You are ensuring that Dynamo is not just "installed," but deeply integrated into the customer’s value chain.


About the Role

We are looking for Forward Deployed Strategists to help enterprise customers successfully deploy and operationalize AI systems in real-world environments.


This role sits at the intersection of customer strategy, technical deployment, and commercial execution. You will work directly with enterprise customers to identify high-impact AI opportunities, shape deployment strategies, and drive successful implementation of Dynamo AI’s platform across customer environments.


Forward Deployed Strategists act as the connective layer between customers, sales, product, and engineering teams. You will help organizations move from experimentation toward durable production adoption — ensuring deployments deliver measurable business outcomes while meeting enterprise requirements around governance, reliability, security, and performance.


This is a highly cross-functional role for individuals who enjoy solving ambiguous operational problems, working closely with customers, and translating complex AI capabilities into practical enterprise value.

In This Role You’ll 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
You Might Thrive In This Role If You
  • Enjoy operating at the intersection of strategy, technology, and execution
  • Are highly customer-oriented and comfortable working directly with senior enterprise stakeholders
  • Can build credibility with both executives and engineers
  • Thrive in fast-moving, ambiguous environments with high ownership
  • Are excited about translating frontier AI capabilities into real-world operational impact
  • Prefer solving messy operational problems over narrowly scoped responsibilities
Preferred Qualifications
  • 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 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


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

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