Software Engineering Manager

Be an Early Applicant Remote Hiring Remotely in USA Expert/Leader Remote Hiring Remotely in USA Expert/Leader Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI. The summary above was generated by AI, We’re looking for a hands-on engineering manager to lead a team building a cloud data platform that gives customers and partners new ways to turn their data into actionable business insight. This is a strong fit for someone who is deep in modern cloud data technologies (analytics, big data, warehouses, and lakes) and enjoys a fast-moving environment with new technology., * Lead and grow a software engineering team, including hiring, mentoring, and developing your people.

• Manage both onshore and offshore engineering staff.
• Provide technical leadership across architecture, design, build, documentation, and testing for the data and analytics platform and its products.
• Work closely with Product to keep a shared vision and drive continuous improvement across the platform and multiple products.
• Own the data and analytics roadmap, from strategy through to the technical delivery of scalable platform and product rollouts.
• Contribute to product roadmaps, sprint planning, and release planning, including leading grooming sessions and helping the team estimate effort.
• Stay hands-on: strong coding and data modeling, code reviews, quality documentation, and setting the technical standard for the team.
• Follow agile SDLC, data architecture, and engineering best practices and governance.
• Deliver fixes and service packs on a repeatable, efficient cycle.
• Partner with security leadership to meet corporate data security standards.
• Own the KPIs tied to software and data quality, with a focus on raising release frequency and engineering confidence.
• Manage third-party vendor relationships for tools, outsourcing, and consulting alongside the wider engineering management team., Build and lead GM’s Core OS engineering organization for vehicle compute platforms. Define the team charter, hire engineers, establish architecture, and deliver production software supporting hypervisors, virtualization, containers, secure boot, safety monitoring, and Linux, Android, and QNX guest operating systems. Own roadmaps, KPIs, cross-functional integration, vendor partnerships, risk management, and vehicle-program milestones while ensuring scalable, reliable, and updateable platform software. Top Skills: Adaptive AutosarAndroidAndroid AutomotiveAospCi/CdContainer RuntimesGitGitGunyahHil TestingHypervisorsIso 26262Iso/Sae 21434Kvm/ArmLinuxOtaQnxQnx HypervisorQnx SdpQualcomm Automotive SocsSoafeeVirtioXenYocto Linux FloQast

Software Engineering Manager

3 Days Ago Remote or Hybrid Senior level Senior level Artificial Intelligence * Fintech * Software Leads multiple software engineering teams and managers responsible for scaling B2B SaaS products. The role combines people management, technical leadership, recruiting, mentoring, performance development, and engineering culture improvement. Responsibilities include promoting software quality, automated testing, CI/CD, DevOps, Agile practices, and cross-functional collaboration with product, QA, security, sales, marketing, HR, and customer success teams. Top Skills: AgileAWSCi/CdDevOpsExpressExtreme Programming (Xp)KanbanMongoDBNode.jsReactScrumTest-Driven Development (Tdd) General Motors

• BS/MS in Engineering or equivalent.
• Hands-on depth in data and analytics technologies plus cloud-native data architecture design and best practices.
• 10+ years in technical roles, with 7+ years managing people and leading increasingly complex projects to delivery.
• 7+ years designing and maintaining data architecture, data models, and standards for data integration and warehousing.
• 7+ years programming in web, object-oriented, or functional environments.
• Solid grounding in enterprise and cloud-native BI architecture.
• Comfortable with git and team branching strategies.
• Broad range across data architecture, ETL, security, performance, and analytics.
• Experience building highly scalable, data-driven SaaS applications in close partnership with product and engineering.
• Hands-on with Azure or AWS.
• Hands-on building data and analytics products with Microsoft Fabric or Snowflake, feeding reporting tools such as Power BI with real-time or near-real-time sync.
• Familiar with release and deployment processes., Leadership qualities
• Excellent written and verbal communication, attention to detail, and strong organization.
• Proven remote team leadership across multiple time zones, able to work independently.
• Ownership mentality and entrepreneurial approach, comfortable with smart risk-taking.
• Good delegation and Agile/Scrum leadership experience.
• Able to build relationships with senior stakeholders and team members.
• Results-oriented self-starter who needs little supervision, and a confident, flexible communicator.

Flexible PTO, medical/dental/vision, supplemental and paid sick coverage, health savings account, and a retirement savings match., Remote or Hybrid Michigan, USA 189K-291K Annually Senior level 189K-291K Annually Senior level Automotive * Big Data * Information Technology * Robotics * Software * Transportation * Manufacturing Leads a team of 3D artists and pipeline engineers delivering content and simulation framework engineering for autonomous vehicle simulation. Provides technical leadership, manages execution, assigns priorities, reviews deliverables and documentation, removes roadblocks, and collaborates cross-functionally. Responsibilities also include hiring, staffing, employee development, training, performance management, compensation planning, and communicating team strategy and organizational policies. Top Skills: 3D ContentAutonomous Vehicle SimulationSimulation Frameworks

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

An established software company serving professional services firms across North America. Its platform combines practice management, workflow automation, and integrated payments, helping firms run more efficiently and spend more time on higher-value work. The data and analytics function is a growing area of investment.