This panel puts three different vantage points on one stage: the team that gets paged when AI-written code breaks in production, the team that watches what that code does once it's live, and the team that built the tool writing the code in the first place. Engineering leaders from PagerDuty, Arize and Salesforce talk through where accountability sits once the novelty of AI adoption wears off, who signs off on AI-written code shipping without a human check, and what changes when the vendor making your coding tool is also, in effect, deciding how your team works. Less a highlight reel, more three people discussing unresolved questions in real time.
Summary
Speakers
Rukmini Reddy
SVP of Engineering @ PagerDuty
Rukmini Reddy is the Senior Vice President of Engineering, responsible for managing product and platform delivery, infrastructure and data science. Reddy joins PagerDuty from Slack where she guided the vision, strategy and execution of a comprehensive re-architecture, transforming the messaging software into an automation platform that empowered users to streamline their work.
Additionally, Rukmini spent over a decade in senior executive roles at various enterprise companies, where she built a strong track record in driving engineering and product strategy during periods of hyper-growth and product transformation across SaaS, B2B and B2C business models.
Rukmini has a master of science degree in computer engineering from the University of Arkansas and earned a bachelor’s degree from Osmania University in computer science and engineering.
Aparna Dhinakaran
Co-Founder & Chief Product Officer @ Arize AI
Aparna Dhinakaran is the Co-Founder and Chief Product Officer at Arize AI, a pioneer in AI observability and evaluation trusted by Fortune 100 companies. A frequent speaker at top conferences and a top-read technical voice in AI, her perspectives on AI engineering and agent infrastructure on X receive millions of views every month. Before Arize, she built for and led teams at Uber, Apple, and TubeMogul (acquired by Adobe), including Uber's core ML infrastructure platform, Michelangelo. She holds a B.S. in Electrical Engineering and Computer Science from UC Berkeley, where she published research with the Berkeley AI Research group.
Ananya Helmich
VP Engineering, Search, AI, Machine Learning @ Slack
Ananya Helmich is a Vice President of Software Engineering at Slack, leading the AI, Search, and ML organization. In nearly a decade at Slack, she has guided the company through hyper-growth, landing 0-to-1 business unlocks, scaling infrastructure massively, and building Slack's AI capabilities from the ground up. Ananya's teams build the AI & ML platform underpinning Slack, as well as the search, ranking, and retrieval systems behind Slack AI, including the launch of Slackbot, Slack's context-aware AI agent. Ananya holds a master's degree in computer science from the University of Southern California. Beyond her engineering role, she is Slack's executive sponsor for people of color, a culture carrier who champions uplevelling engineering talent, and a vocal advocate for women in engineering leadership, having spoken on panels supporting women pursuing leadership roles in tech.
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