Next Step Systems - National IT Recruiting Firm logo
Next Step Systems - National IT Recruiting Firm

We place all disciplines of IT Professionals. Programmers, Software Engineers, Network Engineers, Cloud Engineers, SAP.

Head of Internal Tools Engineering, Artificial Intelligence

Engineering ManagerEngineering ManagerFull TimeRemoteLeadTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

17 hours ago

Salary

$170K - $225K / year

Seniority

Lead

Job Description

Head of Internal Tools Engineering, Artificial Intelligence

Next Step Systems - National IT Recruiting Firm

• Own the end-to-end strategy and roadmap for all internal tools, platforms, and automation treating internal technology as a product, not a cost center. • Make strategic build-vs-buy decisions, knowing when a custom-built solution creates a lasting advantage and when a SaaS tool is the right answer. • Map current and next-state process flows across the entire internal toolchain and lead systems transformation for internal teams. • Architect and maintain the full engineering lifecycle for internal platforms from ideation and design through deployment, iteration, and deprecation. • Build seamless, API-first ecosystems that integrate internal tools across HR systems, finance platforms, knowledge management, CRM, and developer infrastructure. • Own system reliability and operational resilience: establish success metrics for uptime, performance, and employee productivity. • Design scalable, secure architectures using cloud-native principles, microservices, and modern integration patterns. • Lead the strategy for integrating AI and LLMs into internal workflows reimagining how knowledge is shared, decisions are supported, and work is executed across the organization. • Deploy intelligent automation tools including AI where appropriate to streamline internal processes and improve decision-making. • Evaluate and integrate AI-assisted troubleshooting, proactive recommendations, and intelligent automation into the internal platform layer. • Stay ahead of technology trends and drive continuous experimentation you build prototypes, not slide decks. • Reduce cognitive load for internal users by providing golden paths, standardized workflows, and self-service capabilities. • Ensure frictionless onboarding and seamless integration across the tool ecosystem. • Measure platform success through adoption rates, user satisfaction, DORA metrics, and productivity impact not feature count. • Build, lead, and mentor a high-performing team of engineers and engineering managers. • Cultivate a collaborative engineering culture rooted in ownership, speed, and craftsmanship. • Provide technical mentorship and create growth paths for individual contributors and managers alike. • Foster psychological safety and a feedback-driven environment that empowers people to do their best work. • Partner with People, Finance, Engineering, Legal, and Operations leadership to translate complex business needs into a unified technical vision. • Serve as the bridge between business stakeholders and the engineering team you speak both languages fluently. • Align internal platform investments with broader company strategy and demonstrate measurable ROI.

Job Requirements

  • 12+ years of experience in software engineering, with at least 5 years in engineering leadership (managing teams or managing managers).
  • Artificial Intelligence (AI) experience required.
  • Strong hands-on technical background; you’ve built production systems and can still credibly review architecture, code, and system design.
  • Deep understanding of cloud-based systems (AWS, GCP, or Azure), APIs, microservices, data pipelines, and modern infrastructure.
  • Proven track record of building and scaling internal tools or platforms that serve cross-functional business teams not just engineering.
  • Experience making build-vs-buy decisions and managing a portfolio of custom-built and third-party tools.
  • Strong experience designing and building internal platforms and automation systems.
  • Strong product thinking: you define success in terms of user outcomes and business impact, not technical output.
  • Experience navigating the full SDLC from ideation through deprecation you know when to build, iterate, and retire.
  • Excellent communication skills: you can articulate complex technical concepts to non-technical executives and translate business problems into engineering roadmaps.
  • Experience at a high-growth technology or AI-native company that scaled rapidly is a plus.
  • Background in platform engineering, developer experience, or internal developer platforms (IDPs) is a plus.
  • Familiarity with HRIS, ERP, and business systems integration (Workday, Salesforce, NetSuite, etc.) is a plus.
  • Experience with cybersecurity best practices and compliance frameworks for internal systems is a plus.
  • Prior experience leading internal technology through M&A integrations or multi-entity consolidation is a plus.
  • Exposure to knowledge management systems, internal search, and enterprise AI assistants is a plus.
  • Experience integrating AI/LLMs into internal workflows or productivity tools is a plus.

Benefits

  • medical insurance
  • Dental
  • Vision
  • Savings Plan Options
  • PTO

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