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Dynamo AI

Secure, compliant generative-AI infrastructure for enterprises

AI Compliance Strategy Manager

Implementation & Technical Account ManagementUpdated on Nov 11
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Approximately 3–6 years of relevant experience in financial services, a regulated-industry environment, or a consulting/advisory firm serving regulated clients.
  • Hands-on experience in one or more of the following: business controls or a control office; process, risk and control frameworks; operational or non-financial risk; compliance assurance; internal audit; or risk and controls consulting.
  • Working understanding of the three lines of defense model and the practical distinction between owning and operating controls, providing independent oversight and challenge, and delivering independent assurance.
  • Experience helping to design, document, test, monitor, or evidence controls, including control narratives, risk-and-control matrices, risk assessments, test plans, issues or exceptions, or remediation tracking.
  • Ability to analyse ambiguous regulatory, policy, or operational requirements and convert them into structured, actionable controls and clear client materials.
  • Strong written and verbal communication skills, with confidence engaging senior stakeholders across risk, compliance, legal, technology, and business teams.
  • Strong project-management skills and demonstrated ability to drive multiple workstreams from research through implementation and reporting.
  • Comfort working in a fast-moving, high-growth environment, both remotely and in person, with travel of up to 30%.

Responsibilities

  • Advise prospective and current financial-services customers on deploying Dynamo AI controls to manage legal, regulatory, conduct, operational, and reputational risk.
  • Assess each customer’s current AI governance, risk, and control environment; map Dynamo guardrails into relevant processes, risk taxonomies, control libraries, risk-and-control self-assessments, and evidence workflows.
  • Help customers define pragmatic AI-risk target operating models, including decision rights, RACI matrices, governance forums, escalation paths, and lifecycle responsibilities across business and technology owners, second-line oversight functions, and independent assurance.
  • Apply a practical understanding of the three lines of defense model to position controls correctly: first-line ownership and operation; second-line policy, risk, and compliance oversight and challenge; and third-line independent assurance.
  • Lead workshops, demonstrations, and training sessions that enable senior and operational stakeholders to adopt Dynamo and operate controls consistently.
  • Translate applicable UK, EU, and global laws, regulations, supervisory expectations, and customer policies into clear guardrail objectives, requirements, and test cases.
  • Design, document, and validate AI guardrails and evaluations, defining the control objective, risk addressed, coverage, thresholds, limitations, ownership, and required evidence.
  • Build and refine datasets, scenarios, and review cycles that test guardrails against relevant regulatory, conduct, privacy, security, and operational-risk use cases.
  • Partner with product, engineering, and deployment teams to monitor guardrail behaviour in production, investigate trends, and recommend enhancements to controls, workflows, reporting, and user guidance.
  • Help define and, where agreed with the customer, support control-alert and exception-triage workflows: assess materiality and severity, distinguish false positives from actionable findings, route matters to accountable owners, document rationale, and track remediation through closure.
  • Help customers design auditable controls by establishing clear evidence standards, testing approaches, issue-management routines, and documented approvals.
  • Support customers in developing control design and operating effectiveness; suggest strategies to identify gaps, assist with remediation plans, and communicate residual-risk considerations to appropriate stakeholders.
  • Prepare client-facing artefacts, including control narratives, risk-and-control matrices, test plans, management reporting, and audit or assurance-readout material to facilitate use of Dynamo.
  • Bring market and customer insight to Dynamo’s product roadmap, including improvements to guardrail creation, reporting, observability, and usability.

Desired Qualifications

  • Experience with AI governance, AI risk management, model risk management, data governance, privacy, responsible AI, automated decisioning, or related technology-risk disciplines.
  • Familiarity with UK financial-services regulation and supervisory expectations, including the FCA and PRA, and with relevant UK and EU AI, data-protection, or digital-resilience considerations.
  • Experience preparing for, conducting, or responding to assurance reviews, internal audits, external audits, or regulatory examinations.
  • Experience designing operational triage, exception-management, incident-management, or issue-remediation workflows, including appropriate escalation and management information.
  • Familiarity with enterprise AI observability, monitoring, security workflows, governance tooling, or controls automation.
  • Foundational knowledge of machine learning, large language models, or AI evaluation concepts.

About the Company

Dynamo AI

Secure, compliant generative-AI infrastructure for enterprises

Dynamo AI builds end-to-end infrastructure for secure and compliant generative AI in enterprise settings. Its tools let organizations test AI programs to identify risks, prevent leakage of sensitive data, and ensure safety and governance before deployment. The platform runs in any on-premise or cloud environment, giving clients control over their data and models while meeting security, safety, and regulatory requirements. Dynamo AI differentiates itself by focusing on enterprise-grade risk management, data privacy, governance, and compliance across production AI systems, rather than offering generic AI capabilities. The company’s goal is to help organizations deploy cutting-edge AI applications safely and reliably, with strong controls for security, privacy, and regulatory adherence.

Company size
51-200
Company stage
Series A
Total funding
$19.4M
Headquarters
San Francisco, CA
Founded
2021

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