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Pune, Maharashtra, India
Hybrid
SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.
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About the Organisation & Role:
You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.
The Engineering Manager is accountable for engineering delivery, roadmap execution, operational excellence, and engineering team development. Partnering with Product Owners, Data Engineering & Analytics, Tech Leads, and peer engineering teams, you will enable predictable delivery, grow engineering talent, and build a high-performing culture focused on ownership, accountability, and continuous improvement.
Enable delivery of scalable, reliable, and reusable services that power personalisation, recommendations, and consumer engagement experiences.
Drive adoption of experimentation and data-driven decision making to continuously improve consumer experiences.
Drive planning and execution against team objectives and key results (OKRs), ensuring alignment, accountability and transparent reporting.
Own sprint execution, delivery planning, capacity management, dependency management, and risk management.
Partner with Product Owners, Data Engineering and Tech Leads to deliver business outcomes.
Drive engineering excellence through strong development practices, quality standards, operational discipline and continuous improvement.
Coach engineers through regular feedback, mentoring, performance management, and career development.
Build a high-performing engineering culture focused on ownership, accountability, collaboration, and learning.
Establish effective engineering metrics and use data to improve team productivity, quality, and delivery predictability.
Drive adoption of AI-assisted engineering practices and automation to improve productivity, quality, and delivery efficiency.
Identify opportunities to leverage AI across software development, testing, documentation, knowledge management and onboarding.
Collaborate with engineering leadership on hiring, staffing, onboarding, talent development, and succession planning.
Manage delivery partners and vendors where applicable and ensure alignment with team objectives.
10+ years of software engineering experience, with experience leading engineering teams in an agile delivery environment.
3+ years of people leadership experience.
Strong experience leading roadmap execution, delivery planning, dependency management, and stakeholder engagement.
Experience working with consumer data, behavioural signals, and event-driven architectures.
Familiarity with personalisation, recommendations, consumer intelligence, experimentation, search, or decisioning platforms.
Strong people leadership skills with experience in hiring, mentoring, developing, and retaining high-performing engineering teams.
Strong understanding of modern software engineering practices including software architecture & engineering principles, code quality, automated testing, CI/CD, and AI-assisted development.
Strong communication, collaboration, decision-making, and organisational leadership skills.
Experience driving engineering quality, operational excellence, reliability, security, and continuous improvement.
Experience working in Agile delivery environments using tools such as Jira & Confluence or equivalent.
A data-driven mindset with the ability to use engineering, delivery, and operational metrics to improve team effectiveness and predictability.
Experience leveraging coding agents, LLMs, and AI-assisted engineering tools to improve software delivery and team productivity will be a strong advantage.
Experience working with personalisation, recommendation, experimentation, search, or AI-powered consumer products will be a strong advantage
PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,
gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at
PUMA and we do not tolerate any form of harassment or discrimination.
At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal
opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.
PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000
employees worldwide.