Director, Engineering

Adobe

16 - 20 years

20 - 25 Lacs

bengaluru

Posted:6 days ago| Platform:

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Skills Required

product management lms analytical director engineering cloud data structures adobe distribution system analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead teams across multiple execution horizons from AI-first, fail-fast innovation to sustained evolution of a critically important core platform.

Operate in a hands-on leadership model, diving deep where needed to unblock teams and raise the technical bar.
Design and evolve high-scale, low-latency systems that can grow on demand.
Drive R&D-led rethinking of existing architectures, leveraging modern cloud, data, and GenAI technologies.
Define and continuously refine a multi-horizon engineering strategy, grounded in best-in-class software practices and emerging industry shifts.
Partner closely with Product Management to bring AI-powe'red assistive experiences to life, influencing roadmaps by articulating what is possible now and what s next.

Foster strong collaboration across engineering teams to maximize reuse, efficiency, and shared ownership.
Hire, develop, and lead high-performing, diverse engineering teams, owning end-to-end delivery and execution.
Build a culture rooted in rigorous engineering practices, customer empathy, and data-driven decision-making.
Manage scope, dependencies, and risk using analytics, judgment, and creative problem solving.

What you need to succeed

Strong technology depth paired with business acumen.
Excellent analytical and problem-solving skills, with the ability to bring clarity in ambiguous, fast-changing environments.
Clear, concise communication skills and the ability to partner effectively with globally distributed teams.
Proven ability to attract, hire, mentor, and retain top engineering talent.
Deep understanding of Data structures, Algorithms, Distributed systems, Concurrency, and Data Lakehouse architectures.
Hands-on experience with GenAI technologies and AI-driven product development.
A self-starter mindset with a strong bias toward collaboration and ownership across functions.

Ideal Candidate Profile:

16+ years of experience, including 10+ years building and scaling large, web-based systems.
Bachelors or masters degree in computer science or a related engineering discipline.
Proven experience delivering enterprise-grade SaaS platforms.
Track record of building high-scale transactional systems, data platforms, and GenAI-powe'red products from the ground up.
Comfortable operating in ambiguity, adapting to evolving priorities, and leading with autonomy and accountability.
Demonstrated ability to influence both technical and non-technical stakeholders.
Strategic thinker who can set direction across quarters, years, and longer-term horizons.
Deep commitment to exceptional customer experiences and continuous product improvement.

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