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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading engineering teams to deliver AI-enabled SaaS products, with a strong focus on customer engagement and cross-functional collaboration. Proficient in cloud-native architecture, particularly with Azure and MongoDB, while fostering a culture of continuous improvement in engineering practices.
Highest-signal resume keywords
10+ Years In Software Engineering5+ Years In Engineering LeadershipAI-Enabled Product DevelopmentCloud-Native SaaS ArchitectureStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C#.NETMongoDBAI Reliability In ProductionBuild-Versus-Buy Decision MakingCI/CD ImprovementCode Review CultureObservabilityIncident LearningLangGraph
Soft Skills
Customer OrientationTeam DevelopmentCross-Functional CollaborationProblem-SolvingCommunication
Tools & Technologies
AzureMongoDB AtlasAgentic-Surface PlatformAutodeskMCPAgentic Orchestration Frameworks
Industry Keywords
SaaSFabrication TechnologyConstruction TechnologyManufacturing SoftwareSupply Chain SoftwareField Operations Software
Tech Stack
Tools & technologiesAzureCloudMongoDB.NET
About the role
Key responsibilities & impact- Lead product-focused engineering teams delivering against the Stratus roadmap
- Bring engineering and AI capability together to ship customer-dependent solutions
- Own engineering delivery and what ships
- Lead PODs building solutions customers notice and rely on
- Set delivery cadence, clear obstacles, and maintain quality standards
- Engage directly with fabrication-shop customers through product conversations and workflow-grounded design reviews
- Stay involved when production issues reach customers
- Translate real workflow problems into durable product solutions with Product and users
- Apply engineering judgment to feature, architecture, and simplification decisions
- Partner with the CTO and engineering leadership on Azure, MongoDB Atlas, and agentic-surface platform decisions
- Build an AI-forward engineering culture across design, development, and production deployment
- Improve CI/CD, code review culture, observability, and incident learning
- Partner with Product, Data, and Customer Success on cross-functional delivery
- Bring customer and field insights back into engineering practices
- Report to the CTO and collaborate with Directors, Senior Directors, Product, and GTM leadership
Requirements
What you’ll need- 10 or more years in software engineering
- 5 or more years in engineering leadership at a SaaS product company
- Direct experience building and shipping AI-enabled products customers depend on in production
- Experience keeping AI reliable in production
- Experience making build-versus-buy decisions
- Cloud-native SaaS architecture experience
- Azure experience preferred
- Comfortable in C# or .NET
- MongoDB or document database experience is a plus
- Experience in a fast-growing customer environment where bad releases had real consequences
- Experience developing a team to higher impact without losing existing strengths
- Experience hiring at least one exceptional employee and explaining the hiring rationale
- Customer and product orientation
- Strong communication skills
- Ability to work with distributed and cross-functional teams
- MEP, fabrication, or construction technology experience is a strong plus
- Experience with Autodesk or similar is nice to have
- Exposure to manufacturing, supply chain, or field operations software is nice to have
- Hands-on experience with LangGraph, MCP, or agentic orchestration frameworks is nice to have
- Eligibility to work in the U.S. is verified after hire through E-Verify
Benefits
Comp & perks- Comprehensive and competitive health benefits plan
- Matching 401k contributions
- 20 days annual PTO
- Primarily remote work
- Occasional annual team onsites
