Engineering Manager - Consumer Intelligence & Engagement

PUMA Group; Maharashtra; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

PUMA Group is seeking a seasoned Head of Engineering to guide the Consumer Intelligence & Engagement platforms. You will lead scalable personalisation, recommendations, experimentation, and AI-driven decisioning, while driving OKRs and delivering across digital channels.

Lead roadmap execution, manage teams, and partner with Product, Data Eng, and Tech Leads to achieve business outcomes. A strong focus on engineering quality, mentoring, and data-driven improvements is essential.

Qualifications

• 10+ years of software engineering with leadership experience.
• 3+ years in people leadership and team growth.
• Experience with personalization, recommendations, experimentation and AI-driven decisioning.
• Proficient in Agile delivery, metrics, and stakeholder engagement.

Responsibilities

• Own sprint execution, delivery planning, capacity and risk management.
• Drive engineering excellence, quality, and operational discipline.
• Partner with Product, Data Eng and Tech Leads to deliver outcomes.
• Coach engineers through feedback, mentoring and performance planning.
• Build a high-performing engineering culture focused on ownership and collaboration.

Skills

Engineering leadership

Roadmap execution

Stakeholder mgmt

Agile delivery

People leadership

CI/CD & automated testing

AI-assisted development

Hiring & mentoring

Jira & Confluence

Cloud platforms (AWS/Azure)

Tools

Jira

Confluence

AWS/Azure

Job description

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 BE YOU to let our individual talent and experience shine. All genders are welcome.

YOUR MISSION:

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.

• 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.

YOUR TALENT:

• 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.