Sr Manager, Software Engineering

Reposted 20 Days Ago
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Draper, UT, USA
Hybrid
149K-248K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Building a better future for this generation and the next.
The Role
Lead multiple application and data engineering teams to deliver customer-facing SaaS products and analytics. Own product development lifecycle, cloud-native operations, data platform delivery, partner integrations, and observability. Drive AI-assisted development, spec-driven practices, hiring and organizational design, cross-functional collaboration, and measurable engineering metrics to improve performance, reliability, and customer outcomes.
Summary Generated by Built In
Sr Manager, Software Engineering - Xtime
Leads multiple Engineering Development teams across application and data disciplines, with accountability for customer-facing products and the data and analytics that support them. Drives improvements in functionality, performance, reliability, and usability while standing up new teams to deliver customer outcomes in a SaaS environment. Champions and operationalizes an AI-first model, embedding AI-assisted development, agentic workflows, and intelligent product capabilities into how teams build, ship, and operate software.
Directs the product-development lifecycle - research, new development, modification, security, re-engineering, and ongoing maintenance - across an integration-heavy cloud stack and a modern data and analytics platform, operated to enterprise engineering standards. Provides both team and technical leadership and guides key technology decisions for core platforms and client-facing offerings. Partners with Product, Architecture, QE, DBA, and data counterparts on cross-domain delivery, and identifies and implements organizational and process improvements to drive efficiency and effectiveness. Demonstrates strong use of AI-assisted tools and workflows to accelerate delivery, improve quality, and generate insights, while keeping teams current with emerging technologies and industry trends.
Primary Duties / Key Responsibilities
  • Provides leadership and direction to Engineering teams and leaders across application development and data engineering, including managers and senior individual contributors.
  • Plans short-term efforts requiring contributions from multiple team members and participates in planning medium- to long-term initiatives, including quarterly and annual team plans and large-scale projects.
  • Leads mentoring and performance development, fostering innovation, continuous improvement, and high-quality service delivery.
  • Prioritizes client, technical, and business requirements into a roadmap that defines strategy, timelines, and feature delivery; makes informed trade-off decisions across features, resources, and timelines.
  • Defines and tracks team success metrics, including delivery reliability, defect rates, customer adoption, and operational health.
  • Contributes to staffing strategy and organizational design. Engages with internal and external clients to identify and resolve issues and serves as a technical advisor to cross-functional teams.
  • Contributes to budget management, vendor expense approvals, and agreement negotiations; may also act as a product evangelist for internal and external stakeholders.
  • Owns engineering delivery in emerging, high-traffic Xtime product areas supporting technician and service-advisor workflows, where pricing, parts, and integration accuracy directly impact customer experience. Evaluates system impact and downstream dependencies across Xtime products and partner ecosystems.
  • Stands up and matures a data engineering function alongside application development teams, with accountability for delivering customer-facing reporting, BI, and partner data outcomes. Defines the operating model, hiring strategy, and support structure.
  • Directs the design, build, deployment, and operation of data solutions, including real-time and batch pipelines, dimensional models, and secure data access layers supporting BI, partner integrations, and analytics.
  • Engages with Product, Architecture, Data, and external partners (e.g., OEMs, DMS vendors) to balance application delivery with foundational data platform needs and ensure consistent customer-facing outcomes.
  • Drives adoption of AI-assisted and spec-driven development practices across engineering teams, with measurable improvements in productivity and quality.

Minimum Requirements
  • Bachelor's degree in a related discipline and 8 years' experience in a related field with at least 3 years' experience in a management or lead role; or a different combination, such as a master's degree and 6 years' experience; or PhD and 3 years' experience; or 12 years' experience in a related field with no degree.
  • 4+ years' experience in production operation of cloud-native SaaS platforms on AWS (EKS, S3, IAM, Secrets Manager) with Terraform / Terragrunt IaC.
  • 4+ years working with Java / Spring Boot applications at scale, paired with modern web front-ends; experience with brownfield modernization (e.g., monolith decomposition, legacy-to-Aurora-PostgreSQL migration).
  • Ownership of modern data warehouse and pipeline solutions, including Snowflake (or equivalent), change-data-capture, orchestrated ELT, dimensional modeling, and external data-sharing.
  • Experience managing multi-tenant, multi-partner integrations, including OEM data feeds, DMS contracts, and data isolation requirements.
  • Strong observability and resiliency practices, including APM, structured logging, on-call rotations, readiness reviews, and SLO-based health management.
  • Strong analytical, communication, and leadership skills, with the ability to manage multiple priorities and develop high-performing teams.
  • Experience managing teams in a regulated, customer-facing SaaS environment with regular release cadence and urgent escalation paths.
  • Experience standing up new functions (hiring plans, operating models, success metrics) while maintaining existing delivery streams.
  • Cross-functional partnership with Product, Architecture, DBA, QE, Data Governance, and external partners; experience managing vendor integrations and cloud spend.
  • Experience operating within Agile Release Train environments, including backlog planning, KTLO vs. investment prioritization, and delivery traceability.

Preferred
  • Experience with enterprise data catalog tools (e.g., Collibra) and modernization of legacy reporting platforms.
  • Experience supporting BI and analytics products for dealer, OEM, or regulated consumer environments.
  • Familiarity with AI-assisted engineering and spec-driven development workflows.

USD 148,500.00 - 247,500.00 per year
Compensation:
Compensation includes a base salary in the range of $148,500.00 - $247,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

Skills Required

  • Bachelor's degree in related discipline with 8 years' related experience (or equivalent combinations listed)
  • 4+ years production operation of cloud-native SaaS on AWS (EKS, S3, IAM, Secrets Manager)
  • 4+ years with Terraform / Terragrunt IaC
  • 4+ years working with Java and Spring Boot applications at scale
  • Experience with modern web front-ends paired with backend services
  • Ownership experience of data warehouse and pipeline solutions (Snowflake or equivalent, CDC, orchestrated ELT, dimensional modeling)
  • Experience managing multi-tenant, multi-partner integrations (OEM data feeds, DMS vendors, data isolation)
  • Strong observability and resiliency practices (APM, structured logging, on-call rotations, readiness reviews, SLO-based health management)
  • Strong analytical, communication, and leadership skills with ability to manage multiple priorities and develop teams
  • Experience managing teams in a regulated, customer-facing SaaS environment with regular release cadence and escalation paths
  • Experience standing up new functions including hiring plans, operating models, and success metrics
  • Cross-functional partnership experience with Product, Architecture, DBA, QE, Data Governance and vendor/cloud spend management
  • Experience operating within Agile Release Train environments (backlog planning, KTLO vs investment prioritization, delivery traceability)
  • Experience with enterprise data catalog tools (e.g., Collibra) and modernization of legacy reporting platforms
  • Experience supporting BI and analytics for dealer, OEM, or regulated consumer environments
  • Familiarity with AI-assisted engineering and spec-driven development workflows

What the Team is Saying

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Cox Enterprises Compensation & Benefits Highlights

  • Healthcare Strength Healthcare coverage is positioned as robust with multiple medical plan options (PPOs and an HSA‑eligible HDHP), in‑network preventive care at 100%, and expanded mental health and virtual care access. Specialized offerings such as fertility benefits, gender‑affirming care, and wellness programs (e.g., Calm, FitnessOnDemand, Hinge Health) further bolster breadth.
  • Retirement Support The 401(k) program features an enhanced employer contribution for most newer hires—dollar‑for‑dollar matching up to 6% and an automatic 2% contribution after 90 days, with legacy formulas for earlier hire dates. Financial tools and student‑debt support via Candidly deepen long‑term savings support.
  • Parental & Family Support Paid parental leave of eight weeks, adoption assistance (up to $5,000 per adoption), and resources like backup care and childcare discounts are highlighted. Family‑building and caregiving supports (e.g., fertility coverage, Milk Stork, Care.com access) are emphasized across materials.

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The Company
HQ: Atlanta, Georgia
50,000 Employees
Year Founded: 1898

What We Do

Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!

Why Work With Us

Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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