ANSR is hiring for one of its clients.

ABOUT UNDER ARMOUR:

Our story is a classic American entrepreneurial journey, born from a simple, unmet need identified by an athlete. In 1996, founder Kevin Plank, then captain of the University of Maryland football team, set out to solve the problem of sweat-soaked cotton shirts by creating a moisture-wicking synthetic alternative. That innovation – HeatGear – redefined the athletic base layer and laid the foundation for what is today a global leader in performance apparel, footwear, and accessories.

Headquartered in Baltimore, Maryland, Under Armour is driven by a clear mission – to make all athletes better. This relentless pursuit of better defines who we are, shaping our focus on performance, innovation, and continuous improvement.

OUR PURPOSE:

Building on this global foundation, Under Armour India is purpose-built to access India’s top-tier talent and embed the brand’s culture into scalable, tech-driven solutions. At its core, this is about empowering those who strive for more – a belief reflected in our values: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality.

These values serve as a shared framework that guides how we think, build, and collaborate. They connect teams across geographies, reinforce our purpose, and ensure that everything we do is aligned to a common goal – enabling better outcomes for athletes and the business.

At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. Teams are empowered to develop and deliver state-of-the-art products and digital solutions that enhance performance and drive impact at scale.

VALUES & INNOVATION:

Across Under Armour globally, our values act as the thread that unites every teammate, shaping a culture grounded in purpose, accountability, and shared ambition. They are not just principles, but active drivers of how we operate, innovate, and grow together.

This culture is deeply anchored in innovation – a continuous pursuit of better that pushes boundaries and challenges convention. Whether through product innovation or digital transformation, teams are enabled to create solutions that elevate performance and redefine possibilities for athletes everywhere.

PURPOSE OF ROLE:

The Manager – Software Engineering is a technical player/coach responsible for building and scaling enterprise automation through re-engineering, AI, and agentic solutions from concept through production. The role combines hands-on engineering, architecture, people leadership, and delivery accountability.

The role leads engineering across intelligent and workflow automation, AI/ML, and agentic solutions, making pragmatic technology choices based on business value, scalability, security, reliability, and long-term maintainability. The manager establishes reusable engineering patterns, technical standards, and production practices while developing a high-performing team and partnering with business, product, data, and technology stakeholders.

YOUR IMPACT (Job Responsibilities):

At Under Armour,



we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law.

Under

Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodations are available for applicants with disabilities upon request.

Accommodation is available for applicants with disabilities upon request.

- Hands-on Engineering: Design, Re-engineer, build, and maintain scalable AI automations that reach production and improve the speed of business through effective use of AI and automation.
- People Management: Manage and develop a team of engineers through 1:1s, coaching, feedback, performance management, and career development; build engagement, clarity, and accountability.
- Hiring & Team Scaling: Own hiring plans, interviewing, and onboarding to grow team capacity; ensure role clarity, leveling, and skill coverage across workstreams.
- Technical Leadership & Quality Bar: Set and enforce engineering standards via design reviews, testing strategy, observability, security, reliability, and operational readiness; unblock teams on critical technical decisions.
- Delivery Management: Own planning and execution across AI workstreams—scope, milestones, dependencies, and risks—ensuring predictable delivery while remaining hands-on for critical path work.
- Progress & Stakeholder Communication: Provide regular updates to business and technology stakeholders, translating technical work into outcomes, timelines, tradeoffs, and next steps; maintain lightweight reporting (status, KPIs, rollout readiness).
- Staffing & Prioritization: Allocate people to squads and priorities; balance roadmap demands with team capacity; drive healthy rituals (planning, standups, demos) and continuous improvement.
- Low-code Methodology: Implement low-code solutions intentionally, using them where they improve speed and maintainability—not as a constraint or shortcut—and guiding the team on the right low-code vs. pro-code choices.
- Modular Designs: Enable creation of reusable components and reference architectures that speed delivery, reduce duplication, and standardize patterns.
- Agentic Solutions: Architect, deploy, and monitor autonomous agentic workflows and solutions, ensuring they operate safely and effectively within business constraints.
- Collaboration: Act as a technical liaison across data science, data engineering,



and product/program partners to ensure experimental models are translated into production-grade systems aligned with business goals.

QUALIFICATIONS:

- Bachelor’s degree in computer science, Engineering, Applied Mathematics, or a related field with typically 8+ years of relevant experience OR Master’s degree with typically 6+ years of relevant experience OR 12+ years of relevant experience.
- Typically, 1 - 3 years of management experience; or equivalent experience as the subject matter lead or expert in area of expertise.
- Strong software engineering and system design fundamentals; proficiency in Python, Java, JavaScript/TypeScript, or similar.
- Hands on experience in microservices (architectural patterns and implementation), MongoDB, API gateway, containerization, Kafka and data streams.
- Proven implementation on telemetry and observability frameworks.
- Hands-on experience with AI/ML, GenAI, RAG, or agentic systems, including production deployment.
- Solid understanding of Security framework, integrations, cloud, CI/CD, testing, observability, and production engineering.
- Strong understanding on intelligent automation and agentic systems
- Applied AI Experience: Proven experience applying GenAI in either RAG workflows or agentic workflows.
- Delivery & Project Leadership: Experience leading delivery for complex initiatives (planning, prioritization, milestone management, dependency/risk management) and partnering effectively with product/program stakeholders.
- People Leadership (Direct Management): Proven experience as a direct people manager (hiring, onboarding, performance management, compensation input, coaching, and career development) for engineers or technical leads.
- Automation Testing: Knowledge of how to design automations for automated testing.
- Communication: Ability to provide written and oral interpretation of highly specialized technical terms to non-technical stakeholders and decision-makers; able to communicate status, tradeoffs, and risks clearly.
- Lead the adoption of AI-enabled ways of working, promoting experimentation, responsible use, and continuous capability building across teams

WORKPLACE LOCATION:

Location: This individual must reside within commuting distance from our office.

Work Schedule: This role follows a hybrid work schedule, requiring 4 days in-office per week.

OUR COMMITMENT TO EQUAL OPPORTUNITY:

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law.

Under

Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodation is available for applicants with disabilities upon request.

📌 Manager Engineering, Agentic AI and Automation-30739] (Bengaluru)
🏢 ANSR
📍 Bengaluru