Full Stack Engineering Manager – Privacy, Security, AI Governance

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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B5 Recruiting

WebsiteLinkedInAll Job Openings

2 - 10 employees

🎯 Recruiter

🤝 B2B

Recruitment • B2B

B5 Recruiting is a staffing and recruiting firm that positions itself as a partner and extension of client teams. It offers strategic staffing to fill full-time roles, nearshore development teams (talent from Latin America and Canada that work within client timezones), and embedded recruiting services where recruiters are placed inside client organizations. B5 emphasizes rapid delivery, industry-agnostic solutions, and scaling hiring functions to meet business needs.

📋 Description

• 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

• 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

• 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