Senior Engineering Manager

Join our team as a Senior Engineering Manager, where you will lead the development of assistive and autonomous AI-native products. You will be responsible for the growth, health, and delivery outcomes of your teams, as well as setting architectural direction and ensuring quality and reliability. You will collaborate with various stakeholders and have the opportunity to make a significant impact in the IT operations management space.

• Lead and manage engineering teams to architect and build assistive and autonomous AI-native products.
• Own technical strategy and delivery for the teams, set architectural direction, and ensure quality and reliability.
• Hire, coach, and develop engineers, tech leads, and managers, building inclusive, high-performing teams.

• 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
• Experience mentoring senior engineers, raising engineering standards, and building reusable patterns that create leverage across teams
• Experience leveraging or critically evaluating how AI can be integrated into work processes, decision-making, or problem-solving. This includes using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's impact on the business or industry
• Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness
• Strong experience building and operating large-scale distributed systems, enterprise platforms, data-intensive products, cloud-scale infrastructure
• Strong technical depth in Java, Golang or similar programming languages
• 10+ years of related engineering experience, including 3+ years leading and managing engineering teams (including managers or team leads), or equivalent practical experience
• Ability to lead through formal authority and technical credibility alike, building alignment across peer engineering, Product, Design, Security, Operations, Sales, and Customer Success organizations
• Experience with enterprise IT operations management, Agentic AI, Harness engineering, is a strong plus
• Strong judgment in balancing long-term architecture with pragmatic execution, customer impact, engineering velocity, and business priorities
• Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans