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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams through the AI-DLC process, delivering software solutions across DevX/SDLC, and driving internal adoption of new tools and platforms. Possesses strong technical knowledge to guide technology decisions while fostering team culture and engagement in high-growth environments.
Highest-signal resume keywords
AI-Assisted Software DevelopmentEnd-to-End SaaS Product DevelopmentCloud-Based TechnologiesTeam Culture DevelopmentPerformance Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ToolingSoftware Development Life Cycle (SDLC)DevXTechnical KnowledgePerformance ReportingProject ManagementAgile MethodologiesSaaS DevelopmentCloud TechnologiesCapacity Management
Soft Skills
Excellent CommunicationEmpathyPositivitySelf-AwarenessMultitasking
Industry Keywords
AI-DLC ProcessInternal AdoptionTeam EngagementHigh-Growth CompaniesBenevity Standards
Tech Stack
Tools & technologiesCloudSDLC
About the role
Key responsibilities & impact- Lead multiple teams in the AI-DLC process and champion AI-forward ways of working
- Deliver software solutions across DevX/SDLC and core business work
- Own delivery outcomes, set commitments, track progress and follow through
- Lead recruiting, performance management, team culture, engagement, budget and cost control
- Develop and coach team leads and senior engineers
- Move people and capacity between teams as priorities shift
- Identify and escalate resourcing issues to senior leadership
- Own internal adoption and enablement of releases
- Partner with Product, Support, Customer Success and other internal teams on readiness, documentation, training and communication
- Guide technology decisions balancing business, engineering and architectural objectives with Benevity standards, governance and controls
- Coordinate prioritization and scheduling with product management
- Provide weekly and monthly performance measures and reporting aligned to the Benevity Scorecard and Playbook
- Use AI tooling for planning, reporting, analysis and communication, and coach teams to do the same
- Ensure engineering-led innovation time and carry promising PI projects through completion
Requirements
What you’ll need- Hands-on experience with agentic and AI-assisted software development
- Experience using AI tooling to scale leadership work
- Successful track record leading multiple engineering teams working with cloud-based technologies
- End-to-end SaaS product development experience at scale in enterprise environments
- Strong delivery mindset and accountability across competing priorities
- Track record driving internal adoption and enablement of new tools, platforms or releases
- Comfort leading teams across DevX/SDLC and product-facing work, and shifting capacity between them
- Excellent written and verbal communication, including with non-technical stakeholders
- Ability to multitask and reprioritize
- Experience developing people, building team culture and engagement, and building technology teams in high-growth companies
- Technical knowledge, including at code level, to validate assumptions and guide technology decisions
- Empathy, positivity and self-awareness
- Passion for adaptable development methodologies
- Curiosity about latest technologies and best practices
Benefits
Comp & perks- Bonus
- Flexible hybrid work approach
- Opportunities for onboarding, project work, team alignment and in-person collaboration
- Innovative work
- Growth opportunities
- Caring co-workers
- Purpose-driven work
- Employee resource groups
- Equal opportunities and accessible hiring process
- Accommodations throughout the hiring or assessment process for candidates with disabilities
