Morgan Stanley asesora a empresas, instituciones, gobiernos y particulares en banca de inversión, mercados financieros, gestión patrimonial y gestión de inversiones.
Developer Engagement Lead - AI Coding Tools - MSDE
El puesto de Developer Engagement Lead se incorpora al equipo Firmwide developer tools de Morgan Stanley en Londres. Consiste en fomentar la adopción de herramientas de programación con IA mediante demostraciones, talleres, guías y recomendaciones para los equipos de ingeniería. Se requiere experiencia en desarrollo de software, especialmente con flujos de trabajo modernos y herramientas como GitHub Copilot, Codex, Cursor o Claude Code.
Datos sobre Morgan Stanley
- Dominio oficial
- morganstanley.com
- Ofertas abiertas
- 88
Detalles de la oferta
La descripción completa publicada por Morgan Stanley.
Description de l’offre
We’re seeking someone to join our team as hands-on Developer Engagement
Lead to join the Firmwide developer tools group, MSDE. MSDE is responsible for shaping the SDLC within Morgan Stanley by implementing the tools, systems, and processes used by 25,000+ developers in the Firm for software development and deployment. This role sits at the intersection of software engineering, developer experience, and AI coding tool adoption. You'll help ensure developers don't just get access to agentic AI capabilities — they use them well, safely, and meaningfully in real workflows.
You'll work with engineering teams, platform owners, risk partners, and senior technology leaders to scale adoption across the firm.
The ideal candidate
is a hands-on developer who enjoys helping others succeed, explains technical concepts clearly, and thrives in ambiguity and fast-moving change. This is an opportunity to shape how a global engineering organization adopts one of the most significant shifts in software development. You'll be close to developers, close to the tools, and close to the real-world challenges of using them well in a complex enterprise environment.
If you're excited by AI coding tools and want to play a visible role in changing how software gets built, this role offers a unique combination of technical depth, influence, and organizational impact. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a
- Lead position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you’ll do in the role: Engage Developers
- Run demos, workshops, office hours, and enablement sessions
- Help teams identify practical use cases for AI coding tools across coding, testing, refactoring, documentation, and code review
- Create reusable examples, patterns, and guidance that accelerate adoption
- Gather developer feedback and translate it into actionable insights for platform and product teams
- Drive Practical Adoption
- Develop clear guidance for responsible, productive use of AI coding tools
- Help teams distinguish where agentic AI accelerates work from where human judgment remains essential
- Surface and share successful usage patterns across teams and business areas
- Partner with engineering leaders to identify blockers and define what good usage looks like in a regulated enterprise Advocate for Developers
- Represent the developer perspective in discussions with platform, tooling, risk, training, and leadership teams
- Foster a community of AI coding tool champions and encourage cross-team knowledge sharing
- Create Enablement Content
- Guides, FAQs, playbooks, demo scripts, workshop materials, and short-form updates for engineers and senior stakeholders
- Prioritize clarity and usefulness over corporate polish Shape the Adoption Strategy
- Contribute to rollout planning, usage analysis, and continuous improvement
- Identify patterns, success stories, and risks to inform training, communications, and support models What you’ll bring to the role: Technical Experience
- Software development experience with exposure to modern engineering workflows (PRs, CI/CD, developer tooling)
- Practical experience with AI coding tools (e.g., GitHub Copilot, Codex, Cursor, Claude Code)
- Ability to evaluate where AI tools add value
- and where they introduce risk
- Familiarity with enterprise SDLC practices or regulated technology environments is a plus Engagement & Communication
- Comfort leading demos, workshops, and enablement sessions for varied audiences
- Clear, credible written and verbal communication
- Ability to synthesize feedback and usage patterns into recommendations
- Skill in building trust with engineers by being honest, practical, and technically grounded Mindset
- Genuine enthusiasm for AI coding tools and curiosity about how developers work
- Bias toward action, experimentation, and practical outcomes
- Comfort with evolving tools, policies, and best practices
- Collaborative approach across teams, regions, and experience levels #LI-LM1 #LI-Hybrid
What you can expect from morgan stanley
At Morgan Stanley, we raise, manage and allocate capital for our clients
- helping them reach their goals. We do it in a way that’s differentiated
- and we’ve done that for 90 years. Our values
- putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back
- aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Certified Persons Regulatory
Requirements
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.
Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .
Requisitos
- Experiencia en desarrollo de software
- Experiencia práctica con herramientas de programación con IA
- Comunicación oral y escrita clara y creíble
Ventajas mencionadas
- beneficios y ventajas para empleados
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