
501 - 1000 employees
Founded 2000
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Egen is a company that specializes in engineering innovative solutions using platforms, data, and generative AI. They focus on harnessing the potential of data to empower organizations and individuals, providing services across various sectors including communications, healthcare, and public sector solutions. Their customizable platforms address critical challenges in urban management, customer engagement, clinical care, and operational excellence, aiming to drive impactful outcomes for clients.
🕒 September 21
🇺🇸 United States – Remote
💵 $218k - $265k / year
⏰ Full Time
🔴 Lead
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on Egen's careers page, not through a job board
First seen by Remote Rocketship September 21
Still open on Egen's site. Checked 5 hours ago.

501 - 1000 employees
Founded 2000
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Egen is a company that specializes in engineering innovative solutions using platforms, data, and generative AI. They focus on harnessing the potential of data to empower organizations and individuals, providing services across various sectors including communications, healthcare, and public sector solutions. Their customizable platforms address critical challenges in urban management, customer engagement, clinical care, and operational excellence, aiming to drive impactful outcomes for clients.
• Lead a dedicated span of roughly twenty engineers • Drive performance management, professional growth, career paths, and promotion pathways • Serve as the primary escalation point for engineering challenges • Direct team staffing strategy with Resource Management and the practice lead • Oversee contractor operations, onboarding, contract extensions, and engagement delivery • Mentor and coach team leads • Lead the practice-wide hiring engine, interviewer calibration, and partnership with Talent Acquisition • Champion career progression, mentorship, management enablement, and performance review cycles • Lead the internal accelerator program and define production-ready client standards • Maintain an active billable portfolio of approximately 50% across advisory and platform consulting roles • Provide technical leadership on AI SDLC initiatives and AI tooling adoption • Drive AI governance solutions, evaluation frameworks, observability platforms, audit trails, and production safety controls • Architect enterprise platform and pipeline deployments, including agentic AI frameworks and automated promotion pipelines • Advise client engineering leaders and challenge technical approaches when needed
• 12+ years of progressive engineering experience, including significant leadership experience guiding full engineering organizations • Demonstrated experience managing engineering leaders and managers, with a track record of scaling teams and organizational structures • Proven ability to build recruiting engines, onboarding programs, engineering standards, and career pathways with measurable outcomes • Deep technical strength in platform, pipeline, and infrastructure architecture • Hands-on expertise deploying production AI/ML systems, especially platform architecture, MLOps/LLMOps pipelines, governance, and operational resilience • Deep Google Cloud Platform (GCP) experience, or proven technical agility to master a GCP-centric delivery stack rapidly • Sharp consulting acumen, including managing ambiguity, client-facing dynamics, concurrent engagements, and business drivers • Professional services experience preferred • Collaborative mindset and comfort partnering with practice leadership • Exceptional communication and executive presence • Subject to background checks, employment verification, and other relevant hiring checks
• Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Sick Leave • Parental Leave • Bereavement Leave • 401(k) Employer Match • Employee Referral Bonuses • Reasonable accommodations during the selection process
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