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B5 Recruiting

Full Stack Engineering Manager – Privacy, Security, AI Governance

B5 Recruiting

. Translate client goals, risk considerations, and policy requirements into solution architectures, product specifications, engineering backlogs, and implementation plans .

Posted 9/25/2026full-timeRemote • United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityElasticSearchJavaJavaScriptKubernetesMicroservicesNeo4jNext.jsNode.jsPythonPyTorchReactTensorflowTypeScript

About the role

Key responsibilities & impact
  • Translate client goals, risk considerations, and policy requirements into solution architectures, product specifications, engineering backlogs, and implementation plans
  • Lead the design, development, integration, testing, deployment, and troubleshooting of production applications and services
  • Build APIs, automated workflows, integrations, dashboards, and supporting components
  • Incorporate governance into development and deployment through automated checks, controls-as-code, policy enforcement, and ongoing monitoring
  • Develop prototypes, test approaches, refine solution direction, and support proofs of concept, technical demonstrations, effort estimates, and pricing inputs
  • Manage delivery scope, schedules, quality, engagement financials, and client satisfaction
  • Resolve implementation challenges across applications, integrations, data, and deployment processes
  • Lead multidisciplinary delivery teams and mentor engineers
  • Establish reusable tools, documentation, knowledge-sharing practices, and engineering standards
  • Deliver solutions addressing privacy, online safety, AI governance, sensitive data protection, data discovery, classification, DLP, encryption, PKI, and cryptographic capabilities

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or equivalent demonstrated experience
  • At least 7 years of experience translating client requirements into solution architectures using REST APIs, microservices, event-driven patterns, or serverless services
  • At least 7 years of experience developing and deploying production solutions with Python, Java, or Node.js
  • At least 2 years of experience delivering solutions on AWS, Microsoft Azure, or Google Cloud, including containers, CI/CD pipelines, and version control
  • At least 1 year of experience designing or deploying generative AI or large language model (LLM) solutions in a client or production setting
  • Experience in at least one relevant domain: digital trust, online protection, trust and safety, security, product compliance, privacy, AI governance, data protection, or cryptography
  • Experience leading technical workstreams, multidisciplinary teams, or engineering delivery teams
  • Experience managing scope, schedules, quality, risks, dependencies, and client communications
  • Experience coaching or mentoring professionals and contributing to solution proposals, estimates, prototypes, technical demonstrations, or business development efforts
  • Willingness to travel approximately 25–50%
  • Limited immigration sponsorship may be available
  • Preferred: JavaScript or TypeScript and React or Next.js
  • Preferred: Technical controls for generative AI, LLM, or agentic AI applications
  • Preferred: AI-use-case inventories, risk classification, human oversight, tool access restrictions, prompt-injection protections, logging, monitoring, or controls-as-code
  • Preferred: Regulated-environment experience involving SOX, PCI DSS, FFIEC, HIPAA, or GDPR
  • Preferred: Kubernetes, GitOps, Elasticsearch, OpenSearch, Neo4j, PyTorch, or TensorFlow
  • Preferred: Product roadmaps, technical backlogs, or reusable engineering assets
  • Preferred: Senior client stakeholder engagement for architecture and risk decisions

Benefits

Comp & perks
  • Remote work arrangement
  • Limited immigration sponsorship may be available
  • Opportunity to work on privacy, security, online safety, AI governance, and sensitive data protection projects
  • Mentoring and knowledge-sharing opportunities
  • Technical leadership and client delivery experience
  • Approximately 25–50% travel depending on client and project needs