Location Details: Gurugram, India

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

Join our Team

Data is the most valuable asset in GoDaddy, and our FORGE team is at the center of building an enriched and valuable ecosystem of AI-based data products and services that drives innovation for our partners and clients, serving as integral platforms for generating revenue and competitive advantages within GoDaddy and globally!

We're looking for a Senior Engineering Manager who is excited about applying AI to complex data challenges! You'll bring strong experience in Agentic AI, workflow automation, and modern data engineering, while helping shape scalable data platforms and AI-powered solutions. This role requires a balance of hands-on technical depth, long-term thinking, and collaboration across teams to drive adoption of data and AI capabilities. If you enjoy solving ambiguous problems, working with large-scale data systems, and building technology that has real business outcomes, we'd love to hear from you!

What you'll get to do...

Lead, coach, grow, and retain a multidisciplinary team of AI and Data Engineers, providing technical leadership and people management across AI/ML, agentic systems, and platform development
Drive the design, delivery, scalability, reliability, and operational readiness of agent-based capabilities, ensuring high-quality production deployments and business value without compromising engineering standards
Conduct architecture, design, and code reviews to ensure compliance with established standards, encouraged quality, and guidelines for model operationalisation and agentic architectures
Operate effectively in fast-paced, high-ambiguity environments by demonstrating quantitative analysis, business judgment, and agile engineering practices to make informed decisions
Partner closely with Product, Business Analysis, Data Science, Security, Privacy, Legal, and peer teams in the US region to understand data challenges and deliver scalable, compliant solutions aligned with GoDaddy security and privacy policies

Your experience should include...

10+ years of experience in data architecture and building data ecosystems, including 5+ years developing big data solutions and deep expertise in optimising distributed computing systems
2+ years of strong experience in Agentic AI development, building and deploying autonomous agents across complex data ecosystems, with expertise in data modelling, metadata management, and data quality
5+ years of experience leading, managing, and developing diverse, highly motivated engineering teams
Strong interpersonal, communication, and multitasking skills, with the ability to effectively collaborate with both business and technical stakeholders while balancing competing priorities
Demonstrated ability to thrive in fast-paced, ambiguous environments where continuous innovation is occurring

You might also have...

A Bachelor’s degree in CS or related technical field
Proficient in Python, Scala, and Java, with strong experience building Agentic AI systems, including autonomous workflows, agent harnesses, memory management, and orchestration frameworks
Strong understanding of the modern AI stack, including LLM architectures, frontier and open-source models, prompt engineering, token economy, embeddings, and RAG patterns
Strong experience developing big data solutions using Apache Spark, EMR, and Databricks for batch and stream processing, with a proven track record of delivering end-to-end analytics solutions on AWS (S3, Athena, Kinesis, Redshift, EMR, MWAA, Bedrock)
Good knowledge of standard machine learning techniques, including Regression, Classification, Anomaly Detection, and Forecasting, using Spark, Python, and related ML libraries

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us .

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page .

We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

GoDaddy is proud to be an equal opportunity employer . GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.   Refer to our full

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Senior Engineering Manager - Data & AI

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