

How is AI Changing Tech Jobs?
AI is changing the way tech teams are built, the work they do, and the skills employers value. As AI becomes part of everyday workflows, roles across software engineering, product management, and data are evolving in ways that go far beyond simply learning the latest tools.
For this August's DataScienceSG Meetup, join us for a panel discussion exploring how AI is changing the nature of work across software engineering, product management, data, and beyond.
Join leaders from engineering, product, data, and hiring as we explore how AI is reshaping tech careers, what hiring managers are looking for today and how aspiring and experienced professionals alike can stay relevant in an AI-first world.
Panelists
Max is the co-founder and CEO of Symplehost.ai, an AI operating system for vacation rental owners that lets small teams deliver five-star guest experiences without large operations teams or expensive custom builds. He is also Anthropic's Ambassador in Singapore, where he runs meetups, workshops and hackathons to grow the local AI community.
Before Symplehost, Max spent over a decade building and leading product teams across Asia — as Chief Product Officer at MoneySmart Group and Bubblegum, and Senior Director of Product Management at Zinier — scaling organisations across product, design, engineering and data. Having hired at scale and now built an AI-native company with a small team, he has a first-hand view of how AI is reshaping tech roles and what people entering the field should be optimising for.
Trung Vo is a seasoned web developer and Google Developer Expert in Web Technologies. He scales web apps to millions of users and frequently speaks at international conferences, sharing insights on frontend architecture, performance, and modern web practices. As founder of Angular Singapore, he also drives the growth of the local web developer community.
At Ascenda, he builds loyalty and rewards platforms for financial institutions worldwide.
Ivan is the Head of Applied AI & Data Engineering at SPH Media, where he oversees AI strategy, data infrastructure, and engineering teams. Previously leading Data & AI at Tech In Asia, he helped scale the company's AI & analytics capabilities and supported its technical integration through its acquisition by SPH Media. Outside of his core role, Ivan serves as a startup advisor, angel investor, and co-organizer for the DataScience SG community.
Koo is currently a consultant & trainer in the space of Data & Artificial Intelligence. He does mentoring to data professionals, undergrads and fresh grads as well. Koo has over 20 years of experience, seeing the industry moved from Business Intelligence, Data Analytics, Data Science to the current Artificial Intelligence. He likes to discuss anything related to Data and Artificial Intellligence. He is also the co-founder of DataScience SG, founded in late 2013.
Schedule
6:30 PM – 7PM: Registration & Networking
7PM – 8:15 PM: Panel Discussion
Panelists
Max Del Vita (Symplehost.ai) - Product Management
Trung Vo (Ascenda) - Software Engineering
Ivan Tan - Hiring Manager
Koo (DataScience SG) - Data Analytics & Data Scientist
8:15 PM – 8:45 PM: Q&A & Closing
Community Partners
Raffles Venture Partners
Raffles Venture Partners is a Singapore-based venture capital firm supporting high-growth startups across technology, AI, fintech, and emerging industries. Through strategic investments and industry networks, they help founders scale innovative businesses while contributing to the growth of Singapore’s startup and innovation ecosystem.
Lorong AI
Lorong AI brings together government, industry, and research to build Singapore’s AI ecosystem. A collaborative hub for AI practitioners connect, innovate, and shape the future of AI in Singapore throughout curated programs and a supportive community.
More About the Series
After Dark is Lorong AI’s evening meetup series for the AI community. Bringing together talks, demos, and community sharing sessions, the series creates opportunities to connect, explore emerging technologies, and exchange insights across the ecosystem
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