π Core Information
πΉ Job Title: Product Manager - Marketing Business Performance
πΉ Company: Expedia Group
πΉ Location: Bangalore, KarnΔtaka, India
πΉ Job Type: Full-Time
πΉ Category: Product Management
πΉ Date Posted: April 15, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: On-site (Hybrid)
π Job Overview
Key aspects of this role include:
- Leading the Marketing Business Performance domain to define revenue KPIs and guide capital allocation decisions.
- Building strong relationships with stakeholders across various teams to understand their needs and shape the data strategy.
- Collaborating with engineering teams to turn ideas into impactful data solutions.
- Championing data products and ensuring their value is understood and adopted across the organization.
- Staying current with industry trends and best practices to continually enhance data products.
ASSUMPTION: This role requires a balance of strategic thinking, technical understanding, and strong communication skills. The ideal candidate will have a background in data product management, preferably in the marketing or finance domain.
π Key Responsibilities
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Build and maintain strong relationships with stakeholders across Commerce, Finance, Brand Operations, Analytics, and Governance teams to deeply understand their needs and shape the data strategy, priorities, and roadmap for the Marketing Business Performance domain.
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Collaborate across Product, Program, Engineering, and Leadership teams, making transparent decisions while balancing diverse and sometimes competing priorities.
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Partner closely with engineering teams to turn ideas into impactful data solutions, ensuring they meet the needs of stakeholders and align with the product vision.
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Write clear and compelling product specs, user stories, acceptance criteria, hypotheses, and success metrics for new features or product enhancements.
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Champion your products, caring deeply about them, advocating effectively for their value, and believing passionately in their potential to drive business impact.
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Stay current with industry trends, best practices, and emerging technologies, using this knowledge to continually enhance data products and maintain a competitive edge.
ASSUMPTION: The responsibilities listed above are based on the provided job description. However, the role may evolve over time, and additional or different responsibilities may be assigned as needed.
π― Required Qualifications
Education: Bachelorβs or Masterβs degree in Computer Science, Mathematics, Engineering, Statistics, or a related technical field.
Experience: 5+ years of experience in technical product management, with a focus on data products, ideally in the marketing or finance domain.
Required Skills:
- Strong foundation in data engineering, data analysis, or related disciplines, with proficiency in SQL, Python, or similar languages for data manipulation.
- Excellent technical acumen, enabling participation in detailed technical design discussions.
- Strong communication skills, capable of articulating a compelling product vision to peers and senior leadership alike.
- A strategic thinker and problem solverβanalytically rigorous yet always focused on the big picture.
- Proven ability to develop and execute multi-year product strategies.
Preferred Skills:
- Familiarity with analytics best practices and digital marketing.
ASSUMPTION: While the job listing does not specify preferred qualifications, familiarity with analytics best practices and digital marketing would be beneficial for this role.
π° Compensation & Benefits
Salary Range: INR 2,000,000 - 3,500,000 per annum (Estimated, based on industry standards for a Product Manager with 5-10 years of experience in the Bangalore area)
Benefits:
- Travel Perks
- Generous Time Off
- Parental Leave
- Flexible Work Model (Hybrid)
- Career Development Resources
Working Hours: Full-time (40 hours per week, with flexibility for a hybrid work arrangement)
ASSUMPTION: The salary range provided is an estimate based on industry standards for a Product Manager with 5-10 years of experience in the Bangalore area. Actual compensation may vary based on factors such as skills, experience, and performance.
π Applicant Insights
π Company Context
Industry: Expedia Group operates in the travel technology industry, powering global travel for everyone, everywhere. They design cutting-edge tech to make travel smoother and more memorable, and they create groundbreaking solutions for their partners.
Company Size: Expedia Group has 10,001+ employees globally, providing a large and diverse work environment.
Founded: Expedia Group was founded in 1996 and has since grown into a leading global travel platform.
Company Description:
- Expedia Group brands power global travel for everyone, everywhere.
- They design cutting-edge tech to make travel smoother and more memorable, and they create groundbreaking solutions for their partners.
- Expedia Group fosters an open culture where everyone belongs, differences are celebrated, and success is shared.
Company Specialties:
- Technology
- Travel
- Ecommerce
- Sales
- Hotels
- Big Data
- Mobile
- Business Development
- SEO
- SEM
- Hospitality
- and Airfare
Company Website: careers.expediagroup.com
ASSUMPTION: Expedia Group is a well-established company in the travel technology industry, with a strong focus on innovation and customer experience.
π Role Analysis
Career Level: This role is at the mid-level management stage, with opportunities for growth and progression within the organization.
Reporting Structure: The Product Manager reports to the Director of Marketing Data Engineering.
Work Arrangement: This role follows a hybrid work arrangement, with a combination of on-site and remote work.
Growth Opportunities:
- Progression to senior or leadership roles within the Marketing Data Engineering team or other departments.
- Expansion of responsibilities and influence within the Marketing Business Performance domain.
- Development of skills in areas such as data science, machine learning, or team leadership.
ASSUMPTION: Growth opportunities in this role are likely to be focused on career progression within the Marketing Data Engineering team or related departments, as well as the development of technical and leadership skills.
π Location & Work Environment
Office Type: Expedia Group's Bangalore office is a modern, collaborative workspace designed to foster innovation and creativity.
Office Location(s): DLF City Phase 1 Road, Gurgaon, Haryana 122002, IN
Geographic Context:
- Bangalore is the capital of the Indian state of Karnataka and is known for its vibrant tech industry.
- The city offers a mix of urban and natural environments, with numerous parks, gardens, and historical sites.
- Bangalore has a tropical savanna climate, with warm and humid weather throughout the year.
Work Schedule: The work schedule for this role is Monday to Friday, with flexibility for a hybrid work arrangement.
ASSUMPTION: The work environment at Expedia Group's Bangalore office is likely to be dynamic and collaborative, with a strong focus on innovation and customer experience.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a recruiter or hiring manager
- Technical interview with a team member from the Marketing Data Engineering team
- Behavioral interview with the hiring manager
- Final interview with the Director of Marketing Data Engineering
Key Assessment Areas:
- Technical skills and knowledge of data products, data engineering, and data analysis
- Communication and presentation skills
- Strategic thinking and problem-solving abilities
- Cultural fit and alignment with Expedia Group's values
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role.
- Be prepared to discuss your experience with data products, data engineering, and data analysis in detail.
- Demonstrate your understanding of the Marketing Business Performance domain and how your skills and experience make you a strong fit for this role.
ATS Keywords: Data Product Management, Data Engineering, Data Analysis, SQL, Python, Technical Design, Communication, Strategic Thinking, Problem Solving, Product Strategy, Analytics Best Practices, Digital Marketing
ASSUMPTION: The application process for this role is likely to be competitive, with a focus on technical skills and cultural fit. Applicants should be prepared to demonstrate their expertise in data products, data engineering, and data analysis, as well as their understanding of the Marketing Business Performance domain.
π οΈ Tools & Technologies
- SQL
- Python
- Data visualization tools (e.g., Tableau, Power BI)
- Project management tools (e.g., JIRA, Asana)
- Collaboration tools (e.g., Microsoft Office Suite, Google Workspace)
ASSUMPTION: The tools and technologies listed above are based on industry standards for data product management. However, the specific tools used by Expedia Group may vary.
π Cultural Fit Considerations
Company Values:
- We are a force for good β we believe travel is a force for good, opening minds, building connections, and bridging divides.
- We create transformative tech β we design cutting-edge tech that enables unforgettable experiences for all travelers, everywhere.
- We power more trips than anyone else β we power more trips than anyone else, creating groundbreaking solutions for our partners.
Work Style:
- Collaborative β we work together to achieve our goals, fostering a culture of open communication and teamwork.
- Inclusive β we celebrate diversity and foster an environment where everyone belongs and can bring their authentic selves to work.
- Innovative β we embrace change and continuously seek new ways to improve our products, services, and processes.
Self-Assessment Questions:
- How do you align with Expedia Group's value of being a force for good, and how have you demonstrated this in your previous roles?
- How do you approach collaboration and teamwork, and how have you successfully worked with diverse teams in the past?
- How do you stay current with industry trends and best practices, and how have you applied this knowledge to enhance your products or services in previous roles?
ASSUMPTION: Cultural fit is an important consideration for Expedia Group, and applicants should be prepared to demonstrate their alignment with the company's values and work style.
β οΈ Potential Challenges
- Balancing the needs and priorities of multiple stakeholders, including Commerce, Finance, Brand Operations, Analytics, and Governance teams.
- Keeping up with the fast-paced and ever-evolving data landscape, including new tools, technologies, and best practices.
- Ensuring the scalability and reliability of data products to support the needs of a large and growing organization.
- Navigating a hybrid work environment, with a mix of on-site and remote work.
ASSUMPTION: The potential challenges listed above are based on the nature of the role and the work environment at Expedia Group. Applicants should be prepared to address these challenges and demonstrate their ability to succeed in this dynamic and fast-paced environment.
π Similar Roles Comparison
- This role is similar to other data product management positions, but with a focus on the Marketing Business Performance domain.
- Compared to other data product management roles, this position requires a strong understanding of marketing and finance, as well as the ability to work with a wide range of stakeholders.
- Career progression in this role may lead to senior or leadership positions within the Marketing Data Engineering team or other departments, with a focus on data product management and strategy.
ASSUMPTION: The comparison points listed above are based on the nature of the role and the work environment at Expedia Group. Applicants should be prepared to discuss their relevant experience and how it makes them a strong fit for this role.
π Sample Projects
- Developing a data product to track and analyze marketing campaign performance, enabling data-driven decision-making and optimization.
- Creating a data visualization dashboard to communicate marketing KPIs and insights to stakeholders across the organization.
- Building a data pipeline to integrate marketing data from various sources, ensuring data quality, accuracy, and consistency.
ASSUMPTION: The sample projects listed above are based on the responsibilities and required skills for this role. Applicants should be prepared to discuss their relevant experience and how it makes them a strong fit for this role.
β Key Questions to Ask During Interview
- How does this role fit into the overall Marketing Data Engineering team and the organization's data strategy?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Expedia Group support the professional development and growth of its employees, particularly in the Marketing Data Engineering team?
- What are the biggest challenges facing the Marketing Business Performance domain, and how can this role help address them?
- How does Expedia Group foster a culture of innovation and continuous learning, and how can this role contribute to that culture?
ASSUMPTION: The key questions listed above are designed to help applicants better understand the role, the team, and the organization, as well as to demonstrate their interest and engagement in the interview process.
π Next Steps for Applicants
To apply for this position:
- Submit your application through the following link: careers.expediagroup.com/jobs/
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role, including your expertise in data products, data engineering, and data analysis.
- Prepare for interviews by researching Expedia Group's company culture, values, and work style, as well as the Marketing Business Performance domain and the data landscape.
- Follow up with the recruiter or hiring manager after your interview to express your interest in the role and ask any remaining questions.
- If you are offered the position, carefully review the offer and benefits package, and negotiate as needed to ensure it meets your expectations and requirements.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.