Manager Software Engineering
Role details
Job location
Tech stack
Job description
- Engineer Insights Platform Services: You'll lead the Insights team, which is responsible for developing and delivering complex data products that provide actionable insights to customers. The team's goal is to help organizations transition from "What happened?" to "What should I do now?" by surfacing clear, action-driven recommendations.
- Architect an "Always-On" Foundation: You own the critical core services Identity, Permissions, and Multi-tenancy. You will lead Tech Leads to build a high-resiliency IAM capability that serves as the bedrock for our platform. If this layer fails, road safety will stop, and you will lead the team that ensures it doesn't
- Drive AI-First Engineering: You will set rigorous AI-driven engineering standards, leveraging Generative AI to accelerate your team's velocity. Lead your Tech Leads in adopting an AI-centric SDLC to maintain a leadership position in productivity.
- Mentor senior engineers and Tech Leads. Build leadership, instill ownership, learning, and craftsmanship.
- Translate strategy into clear roadmaps and predictable delivery. Manage dependencies and drive measurable outcomes.
- Advance scalability, quality, observability, incident response, and cost/performance optimization., * Senior engineers grow into trusted tech leads under your coaching, owning the domains.
- Programs deliver on time and on target, with increased reliability and cost efficiency.
- Teams adopt AI-enhanced SDLC, cutting the time from concept to commercial insight.
- Cross-functional partners see your teams as accountable, predictable, and innovative.
Requirements
- 10+ years building scalable distributed systems with 5+ years managing teams and growing senior-level talent.
- Experience reviewing and guiding everything from UI flows to API contracts and data models. You understand how the "front-end stuff" connects to the "back-end data" to create a seamless experience.
- Proven success with cloud-native microservices, high-scale systems, and the nuances of building granular, multi-tenant permission models.
- A clear perspective on using Generative AI to eliminate inefficiency in both the product and the engineering process.
- A track record of owning complex roadmaps and ensuring predictable, high-quality delivery in a fast-paced environment.
Preferred Qualifications
- Deep knowledge of the AWS Ecosystem, C#/.NET, and Kubernetes.
- Experience managing "zero-failure" services where high availability is the baseline.
Benefits & conditions
- Medical, dental and vision insurance
- Health Savings Account
- Flexible Spending Accounts
- Telehealth
- 401(k) and 401(k) match
- Life and AD&D insurance
- Short-Term and Long-Term Disability
- FTO or PTO
- Employee Well-Being program
- 11 paid holidays plus 1 inclusive holiday per year
- Volunteer Time Off
- Employee Referral program
- Education Reimbursement Program
- Employee Recognition and Appreciation program
- Additional perk and voluntary benefit programs
Salary is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position is also eligible for an incentive compensation plan. The expected hiring salary for this position is: $183,500.00 - $232,500.00
You're driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other.
If you're looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we'd love to meet you.
Together, we're helping make roadways safer and saving lives!