Director of Software Engineering Management

Who you are

• This role requires people leadership, thought leadership, deep technical expertise, strong architectural judgment, and a keen understanding of the scientific method to ship and refine real product through iterative experimentation
• 15+ years of related engineering experience, including 5+ years leading and managing engineering teams (including managers or team leads), or equivalent practical experience
• Strong experience building and operating large-scale distributed systems, enterprise platforms, workflow systems, data-intensive products, integration frameworks, or cloud-scale infrastructure
• Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness
• Strong technical depth in Java, Python, or similar programming languages
• Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans
• Demonstrated success hiring, developing, and retaining engineers and engineering leaders, and managing performance, career growth, and team health
• Ability to lead through formal authority and technical credibility alike, building alignment across peer engineering, Product, Design, Security, Operations, Sales, and Customer Success organizations
• Strong judgment in balancing long-term architecture with pragmatic execution, customer impact, engineering velocity, and business priorities
• Experience mentoring senior engineers, raising engineering standards, and building reusable patterns that create leverage across teams
• Experience with AI-powered products, automation platforms, AI-assisted workflows, or agentic systems is strongly preferred
• Ability to reason about AI-assisted enterprise workflows, including data quality, workflow correctness, evaluation, observability, safety controls, and human-in-the-loop review
• Experience with enterprise service management, IT operations, CMDB, discovery, service mapping, AIOps, observability, workflow automation, endpoint management, or operational intelligence is a strong plus
• Experience working with large-scale enterprise customers, production systems, and complex migration or modernization efforts is a plus What the job involves
• As a Director of Engineering, you will lead the teams that architect and build assistive and autonomous AI-native products to usher customers (IT departments using our IT service and operations management applications) into an agentic-first era
• The work will span large-scale distributed systems, data ingestion, context creation and utilization, agentic harnesses, cost optimization, and agentic feedback loops to ensure value realization for our customers
• You will be accountable for the growth, health, and delivery outcomes of your teams
• Lead and grow the engineering teams responsible for assigned problem areas within ITSM/ITOM products, working with product and engineering leaders to understand blockers and opportunities around AI-native evolution and value realization
• Own technical strategy and delivery for your teams. Set architectural direction, hold the bar on quality and reliability, and stay close enough to the work to validate hypotheses through evidence, not theory
• Hire, coach, and develop engineers, tech leads, and managers. Build inclusive, high-performing teams with clear career paths and durable ownership
• Drive evidence-based decision-making: formulate hypotheses, run experiments, measure outcomes, and use data to guide architectural decisions and product direction
• Lead the evolution of current solutions toward AI-native capabilities—identifying where agentic patterns, data utilization, or autonomous workflows can unlock customer value—and translate those recommendations into staffed, executable work
• Identify and address value realization gaps in agentic products that exist but aren’t delivering expected outcomes. Diagnose root causes (architecture, UX, data quality, feedback loops, cost) and direct targeted improvements
• Establish architecture patterns, engineering standards, and operating rhythms specific to your problem domain. Document tradeoffs, rationale, and implementation guidance to help teams move faster and make consistent decisions
• Collaborate across ITSM/ITOM engineering teams to share learnings, validate approaches, and accelerate adoption of patterns that work
• Collaborate with stakeholders across Product, Design, Security, Operations, Sales, and Customer Success — aligning on roadmap and release readiness, meeting security and compliance requirements, and feeding field and customer signal back into engineering priorities Benefits
• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time