An agent can be built in two days, but its value depends on how well an enterprise adopts it, whether that enterprise is a customer or the company's own engineering organization. Engineering leaders from Salesforce, Atlassian, and HPE will share what has worked from both perspectives: delivering agents to enterprise customers and driving adoption within their own teams. Panelists will discuss how to assess organizational readiness, why implementation determines whether an agent is used, and how to expand agent scope within compliance and risk requirements. Attendees will leave with practical steps to improve adoption and outcomes for the agents they build, whether those agents serve their own teams or their enterprise customers.
Summary
Speakers
Chris Chiu
VP of Engineering, Agentforce @ Salesforce
Chris Chiu is a VP of Engineering at Salesforce, where he helps build Agentforce, a platform for building enterprise AI agents. Prior to Salesforce, Chris was Head of Engineering at Moonhub, building AI recruiting agents. He has experience building and scaling product engineering teams that consistently deliver great products through rapid growth and change. Earlier in his career, he led engineering teams across companies ranging from early-stage startups to late-stage growth companies, including Figma, Flexport, and OpenGov.
Hari Lingamagunta
VP and Head of Dev Infra @ Atlassian
Hari Lingamagunta is the Head of Engineering for Developer Infrastructure at Atlassian, where he’s currently leading the company’s AI-first engineering transformation. Hari leads a global team building the platform, developer loop, and tooling behind Jira, Confluence, and Trello. With 18+ years across Amazon, Concur, and SAP, Hari is known for building high-performance teams and obsessing over reliability, scalability, and performance at scale.
Sadeepa Wijesekara
VP of Engineering, AI software @ HPE
Sadeepa Wijesekara is Vice President of Engineering at Hewlett Packard Enterprise (HPE), where he leads the AI software organization for the Private Cloud AI portfolio. He is responsible for building enterprise-grade AI platforms that enable secure, scalable deployment of generative and machine learning workloads in private cloud environments.
With more than 25 years of experience, Sadeepa has led global teams across engineering, product, data, security, and IT. Prior to HPE, he served as CTO of The Princeton Review, where he drove enterprise AI transformation and launched GenAI-powered learning applications. He has also held senior leadership roles at TaskRabbit, Intuit, Advantage Solutions, and JPMorgan Chase.
He holds an MS in Systems Engineering from the University of Pennsylvania and a BS in Computer Engineering from the University of Bridgeport.
Lizzie Matusov
Co-Founder & CEO @ Quotient
Lizzie Matusov is the co-founder and CEO of Quotient, an engineering intelligence platform that measures and improves the ROI of AI on software delivery. Quotient analyzes signals from developer workflows to quantify AI's impact and recommend research-backed changes.
Lizzie also authors Research-Driven Engineering Leadership, a newsletter that translates academic research into practical insights for engineering leaders. Before founding Quotient, she worked in engineering roles at Red Hat and Invitae. She holds an MS in Engineering Sciences and an MBA from Harvard, and lives in San Francisco.
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