Manager, Firefly FDE
Adobe · Bengaluru · onsite · Posted today
Undisclosed8–13 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Team Leadership
Customer Engagement Technical Delivery
Technical Leadership Standards
Thought Leadership Cross-Team Enablement
What You Bring
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Join our DevOps for Content revolution, where we partner with global brands and agencies to transform their end-to-end creative workflows-from ideation through activation-to unlock the GenAI-powered Content Supply Chain.
As a Manager, Forward Deployed AI Engineering, you will lead, mentor, and inspire a team of Forward Deployed AI Engineers (FDEs) - creative technologists who prototype, build, and launch GenAI-powered solutions and products directly with customers. Your mission is to cultivate top engineering talent, instill a culture of rapid innovation and delivery excellence, and ensure every engagement drives measurable business impact.
This role requires strong, hands-on technical leadership, people mentorship, and the ability to scale GenAI adoption in enterprise environments. you ll partner closely with the Director, Forward Deployed AI Engineering, to build a world-class product engineering org with customer-facing DNA. If you thrive on growing talent, scaling engineering excellence, and translating latest AI research into real-world solutions, this is your stage.
Responsibilities
Team Leadership
- Recruit, coach, and empower a high-performing team of Forward Deployed AI Engineers (and select Forward Deployed AI Architects).
- Act as both mentor and peer-level engineer-reviewing code, shaping architectures, and guiding engineers on technical depth, delivery velocity, and customer impact.
- Cultivate a culture of engineering excellence, experimentation, and AI tinkering, ensuring the team stays at the frontier of generative AI and enterprise delivery.
- Develop future leaders by strengthening technical judgment, customer-facing confidence, and multi-functional influence.
Customer Engagement Technical Delivery
- Sponsor and engage directly in strategic customer programs. Roll up your sleeves to build, prototype, and launch solutions and products with your engineers when customer concerns or critical achievements arise.
- Ensure your teams apply Forward Deployed Engineering principles: embedded collaboration, rapid prototyping, iterative feedback, and production-grade handoffs.
- Serve as the point of contact for technical and delivery challenges, balancing innovation with governance, reliability, and scale when addressing blocking issues.
- Champion delivery excellence-every engagement must tie back to measurable value realization and customer adoption.
Technical Leadership Standards
- Define and enforce engineering standards across pods, including CI/CD pipelines, reusable frameworks, architecture playbooks, and model governance practices.
- Partner with Directors of Forward Deployed Engineering and Architecture to align technical approaches across the org and codify patterns into scalable, reusable assets.
- Funnel field-proven innovations and standards into Adobe Firefly and GenStudio roadmaps-ensuring product strategy is shaped by customer reality.
Thought Leadership Cross-Team Enablement
- Stay at the forefront of generative AI, creative automation, and enterprise integration-keeping your teams current and inspired.
- Foster internal knowledge sharing-publishing playbooks, reusable modules, and lessons learned that accelerate the entire organization.
- Represent your team in customer workshops, internal reviews, and external forums, showcasing the engineering craft and thought leadership of the FDE org.
What You Bring
- Technical Credibility - 8+ years of software engineering, AI/ML, or technical consulting experience, with recent hands-on development in full-stack, cloud, and GenAI applications. You can dive into code, architecture, or delivery sprints when needed.
- People Leadership - More than 3 years in managing people or leading technical teams. Experienced in mentoring, coaching, and developing engineers and architects into highly capable technical and customer-facing talent.
- GenAI Mastery - Direct experience with modern AI technologies, including LLMs (OpenAI, Anthropic, Meta Llama, Mistral), diffusion models (Firefly, Stable Diffusion, DALL E), RAG pipelines, vector databases, and agent frameworks (LangChain, LlamaIndex, AutoGen).
- Adobe Platform Fluency - Strong working knowledge of Adobe Firefly APIs, Creative Cloud SDKs, GenStudio for Performance Marketing, and enterprise integration patterns.
- DevOps Delivery Excellence - Expertise in cloud deployments (AWS, Azure), CI/CD, containerization (Docker, Kubernetes), and enterprise-grade delivery with governance, security, and monitoring.
- Customer-Facing Leadership - Track record of engaging directly with enterprise customers, simplifying technical complexity, and earning trust as both an engineer and a strategic partner.
- Culture Builder - Ability to cultivate a high-performance, customer-obsessed culture grounded in engineering excellence, continuous learning, and open collaboration.
- Startup DNA - Thrives in fast-paced, ambiguous environments; relentless about finding faster, better, more innovative ways to deliver impact for customers and scale patterns across the org.
- Flexibility Presence - Adaptable and energized by balancing hands-on engineering with people leadership. Willingness to travel up to 30% to support customers and teams in person.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Customer EngagementAutomationDevopsDockerCraftCI/CD Pipelinesapisadobe experience platformamazon web servicesai technologiesadobe experience managerAi ResearchEmbedded SystemscloudArchitectureMicrosoft AzureArtificial IntelligenceAnthropic SDK
About Adobe
Adobe
Software Product
8.5k+
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1982
44 years old
San Jose,California
United States
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