Sr. Director Engineering

Job Title: Sr. Director of Engineering

About the Organization

We are a fast-paced, rapidly growing AI-led product organization focused on transforming how the world makes interconnected and automated decisions across demand and supply. Our mission is to help global enterprises unlock growth, optimize operations, and move toward intelligent, adaptive decision-making through a next-generation autonomic decisioning platform.

Our culture is built on care, collaboration, continuous learning, and innovation. We believe that while technology enables, people truly create impact. Here, you will work with talented peers, cutting-edge technology, and a leadership team committed to helping you thrive both personally and professionally.

Why Join Us?

• Be part of an innovation-driven environment where AI solutions are built to create real-world impact at scale.

• Work with modern technologies and contribute to platforms that redefine how global CPG and enterprise operations function.

• Enjoy a culture that blends high performance with camaraderie, where learning, collaboration, and fun are deeply valued.

• Build meaningful relationships with some of the brightest professionals in the industry.

• Grow your career in a stable, high-growth product organization that encourages ownership, experimentation, and excellence.

Role Overview: Sr. Director of Engineering

We are seeking a seasoned and dynamic Sr. Director of Engineering to lead our core product engineering organization. This is a high-impact leadership role responsible for shaping technology strategy, driving architectural direction, and ensuring world-class engineering execution across backend, frontend, and data engineering teams.

You will partner closely with Product, Design, Data Science, and Business stakeholders to build scalable, intelligent, and high-performing systems that power our next-generation decisioning platform. The ideal candidate brings a blend of deep technical expertise, strong execution discipline, and a passion for building and mentoring exceptional engineering teams.

Key Responsibilities
Team Leadership

• Lead, coach, and scale a high-performing engineering team across multiple technical domains.
• Foster a culture of ownership, accountability, innovation, and continuous improvement.
• Collaborate with HR and Talent teams on recruitment, onboarding, and capability development.

Technology & Architecture

• Drive architectural direction for scalable, distributed, cloud-native systems.
• Work closely with architects to evolve platform and application architecture.
• Uphold engineering excellence across code quality, design reviews, testing, observability, and infrastructure best practices.

Engineering Delivery

• Own roadmap execution in close partnership with Product and cross-functional leaders.
• Ensure timely, reliable, secure, and high-quality delivery of product features and platforms.
• Advance engineering velocity through automation, tooling, and refined development processes.

Cross-Functional Collaboration

• Align engineering priorities with Product, Data Science, Design, and Go-to-Market teams.
• Represent Engineering in strategic planning and organization-wide initiatives.
• Translate product vision into actionable engineering plans and measurable outcomes.

Operational & Technical Excellence

• Champion a metrics-driven engineering culture (SLAs, availability, latency, error rates, etc.).
• Own system reliability, incident management, scalability, and technical debt governance.
• Promote continuous improvement through retrospectives, tooling advancements, and innovation.

Required Qualifications

• 16+ years of experience in software engineering, including 5+ years leading high-performing engineering teams.
• Demonstrated success delivering large-scale, production-grade platforms or applications.
• Strong hands-on expertise in backend development, distributed systems, and cloud-native architectures (AWS/GCP/Azure).
• Experience leading multi-disciplinary engineering teams (backend, frontend, data engineering).
• Deep knowledge of engineering management, agile delivery, and architectural best practices.
• Ability to blend technical depth with strategic leadership and organizational influence.

Preferred Qualifications

• Experience in SaaS or AI/Data-driven platforms.
• Familiarity with Generative AI, agentic systems, and modern AI-driven architectures.
• Understanding of CI/CD, DevOps, and automation practices.
• Strong communication skills, with experience partnering with executive leadership.