Head of Product - Agentic Engineering

SAP·Bengaluru·Onsite

DirectorEcommerceAILogistics

Experience

Not specified

Employment

Full Time

Work mode

Onsite

Level

Director

Location

Bengaluru

Posted

6 days ago

About the role

Job Description

Role Purpose

As a pivotal leader in our product organization, you will bridge the gap between enterprise-wide AI strategy and hands-on operational execution. You will design, build, and evolve next-generation, AI-native enterprise applications and multi-agent systems that accelerate AI adoption for SAP and its customers. You will combine strategic technical governance with AI-assisted engineering methods. This will help you deliver intelligent solutions that are secure, scalable, and reliable. These solutions will provide measurable business value.

What you'll do

Product vision and strategy
Establish clear product boundaries and integration strategy across Joule, Joule Work, Joule Studio and SAP Business AI.
Identify emerging technology shifts and translate them into differentiated product capabilities.
Drive the evolution from low-code/no-code automation toward AI-native, agentic and pro-code development.
Establish Joule Studio as SAP's strategic platform for enterprise agent and agentic application development.
Define the long-term vision and multi-year product strategy for Agentic Engineering.
Agentic engineering platform
Enable extensibility across SAP and non-SAP business applications.
Establish a cohesive runtime strategy covering identity, execution, context, memory, observability and security.
Drive integration of MCP, A2A, APIs and enterprise systems.
Define capabilities for agent creation, multi-agent orchestration, skills, reusable components, workflows and tools.
Own product strategy across the complete agent development lifecycle: design, build, test, evaluate, deploy, operate and govern.

What you'll bring

Strategic & Technical Expertise: A solid background in enterprise architecture and distributed systems. Experience with AI-native application platforms. This includes LLMs, advanced RAG, and multi-agent systems.
Proven Leadership: Experience in creating and carrying out large-scale engineering and AI transformation strategies. Solid ability to influence executive stakeholders. Can align technology choices with business results.
Modern Engineering Mindset: You should have solid hands-on experience with AI-assisted engineering patterns. You also need experience with automated code generation, context engineering, and modern CI/CD delivery pipelines.
Governance & Quality Focus: Proven ability to set engineering standards. Can create evaluation frameworks and benchmarking strategies. These frameworks ensure security, compliance, and reliability as we scale.
People & Culture Leadership: Experience in mentoring senior technical leaders. Proven ability to build robust engineering teams. Skilled at creating a culture of continuous improvement.