Autodesk is a company focused on building a diverse workplace and an inclusive culture. The Manager – Solution Engineering leads a critical engineering function responsible for productizing consulting IP and scaling digital advisory capabilities, while driving multi-year strategy and managing multiple workstreams and senior engineers/architects.
Responsibilities:
- Build, lead, and evolve a high-performing engineering organization
- Establish clear team structure, roles, and growth paths
- Lead performance management, succession planning, and talent development
- Create an inclusive, accountable, and high-ownership culture
- Coach leaders and senior SAs on outcome-driven execution OKR & Execution Excellence
- Define and operationalize quarterly and annual OKRs aligned to Technical Advisory strategy
- Translate strategic priorities into measurable engineering outcomes
- Implement structured review cadences and progress tracking
- Drive alignment between individual, team, and organizational OKRs
- Use metrics and data to continuously improve delivery predictability and business impact
- Own and drive the multi-quarter Solution Engineering roadmap
- Scale the Tools Program lifecycle from submission through standardization, hardening, validation, and publication
- Improve time-to-productization and operational maturity
- Define and track KPIs such as: Tool adoption and activation rates, Platform scalability, Reliability and incident reduction, Engineering throughput and cycle time
- Partner with Consulting, Sales, and Product leadership to align investment with business value
- Provide architectural oversight across advisory tools and platform capabilities
- Ensure compliance with Autodesk technical, security, privacy, and operational standards
- Champion modern cloud-native, API-first, and scalable design principles
- Drive DevOps maturity, automation, CI/CD, and observability practices
- Lead modernization efforts to convert bespoke engagement artifacts into production-ready services
- Guide build vs. buy decisions and promote reuse of inner-source components
- Lead team members to adopt AI tools responsibly in their job functions
- Establish strong SDLC governance and quality frameworks
- Ensure clear ownership models, SLAs, and lifecycle management
- Oversee risk management, root cause analysis, and mitigation planning
- Drive predictability across multiple concurrent initiatives
- Manage resource planning aligned to capacity and strategic priorities
Requirements:
- Bachelor's or master's degree in engineering, Computer Science, or related field
- 12+ years of experience in software engineering, solution architecture, or technical consulting
- 7+ years of progressive people leadership experience
- Proven experience operating at organizational leadership level (managing senior engineers and/or managers)
- Demonstrated success implementing and scaling OKR-based execution frameworks
- Strong background in: Full-stack engineering and API-driven architecture
- Cloud platforms (AWS, Azure, or GCP)
- DevOps, CI/CD, automation, and observability
- Distributed systems and scalable service design
- Experience leading multiple concurrent, cross-functional initiatives
- Strong executive-level communication and stakeholder management skills
- Experience productizing consulting IP into scalable SaaS or platform solutions
- Experience within Professional Services, Technical Advisory, or Enterprise SaaS environments
- Strong understanding of adoption, retention, and recurring revenue drivers
- Experience leading cloud modernization or platform transformation initiatives
- Financial acumen and experience managing budget or investment trade-offs
- Exposure to AI/ML-enabled solution development