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Director, Engineering
GoodwinDirector of Engineering leading a high-performing team of engineers at Goodwin, driving technical vision for AI-enabled systems and ensuring architectural integrity. Collaborating with multi-disciplinary teams in a dynamic, global environment.
Posted 5/22/2026full-timeBoston • California, District of Columbia, Massachusetts, New York • 🇺🇸 United StatesLead💰 $225,000 - $300,000 per yearWebsite
About the role
Key responsibilities & impact- Provide direct, empathetic, and growth-oriented leadership to an expanding engineering organization.
- Attract, mentor, and retain top-tier talent while fostering a high-accountability, inclusive, and collaborative team culture.
- Define the technical roadmap, engineering standards, and architectural blueprints for AI-enabled systems and backend services.
- Ensure all solutions are scalable, maintainable, resilient, and seamlessly aligned with enterprise architecture.
- Oversee the lifecycle design, rapid development, and production deployment of AI-driven applications and full-stack services, ensuring robust integration between modern AI frameworks and core backend infrastructure.
- Champion rigorous development practices—including advanced CI/CD pipelines, robust automated testing, thorough code reviews, and comprehensive operational readiness—to guarantee the highest standards of code quality and system reliability.
- Establish, track, and optimize key engineering metrics (e.g., DORA metrics, system latency, model inference performance, and infrastructure cost efficiency) to drive continuous operational improvement.
- Supervise agile resource allocation, sprint prioritization, and capacity planning across multiple cross-functional initiatives to balance velocity with engineering health.
- Partner with security and compliance teams to ensure all AI system deployments adhere to stringent corporate policies, security protocols, data privacy standards, and evolving regulatory requirements.
- Act as a strategic liaison between engineering, product management, and business stakeholders to translate organizational vision into executable technical roadmaps.
- Drive internal innovation by spearheading engineering guilds or communities of practice focused on emerging AI paradigms, agentic workflows, and modern backend architectures.
- Partner with recruiting to build a highly competitive hiring pipeline, design technical evaluation frameworks, and lead onboarding strategies for incoming engineering talent.
Requirements
What you’ll need- Deep, hands-on understanding of modern AI system architectures, LLM orchestration frameworks (e.g., LangChain, LlamaIndex), vector databases, secure API design, and distributed full-stack application development.
- A tracking record of scaling engineering teams and developing technical leaders (Managers and Principal/Staff Engineers) within fast-paced environments.
- Exceptional ability to translate ambiguous, high-level business requirements into structured, phased, and executable engineering sprints.
- Outstanding communication skills, with the proven ability to articulate complex technical architectures to non-technical executive stakeholders and align diverse teams toward a unified technical vision.
- Typically requires a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, alongside 8+ years of progressive engineering experience, with 3+ years in a dedicated engineering management or leadership capacity.
- Occasional travel.
Benefits
Comp & perks- Health, dental, and vision insurance
- Life and disability insurance
- Retirement & Savings Plan
- Emergency back-up child and adult care
- Paid vacation, sick time off, and holidays
- Professional development and career advancement opportunities
- Employee recognition and reward programs
- Employee wellness and assistance programs
- Employee discounts and perks
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI system architecturesLLM orchestration frameworksLangChainLlamaIndexvector databasessecure API designdistributed full-stack application developmentCI/CD pipelinesautomated testingcode reviews
Soft Skills
leadershipmentoringcommunicationcollaborationstrategic liaisonproblem-solvingorganizational vision alignmentteam culture fosteringcapacity planningoperational improvement
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Engineering