Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Steven Pu is a seasoned product leader with extensive experience in artificial intelligence, machine learning, and enterprise software. He is recognized for his ability to drive product strategy, define innovative solutions, and lead cross-functional teams to deliver impactful products at scale. Steven has a strong background in developing and launching cutting-edge technologies, particularly within large tech organizations, focusing on creating user-centric and commercially successful AI applications. He is passionate about the intersection of technology, business, and user experience, and is a respected voice in the AI product community.
Steven Pu's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the product vision, strategy, and execution for core AI/ML platforms and tools, enabling thousands of engineers and data scientists to build and deploy machine learning models more efficiently and effectively. Drove significant improvements in model development velocity and platform adoption.
Frequently invited to speak at industry conferences and internal company events on topics related to AI product management, MLOps, responsible AI, and the future of intelligent applications. Contributed thought leadership through articles and presentations.
Successfully led the end-to-end lifecycle for several enterprise AI products, from ideation and market research through development, launch, and go-to-market strategy, resulting in substantial revenue growth and customer adoption.
Pioneered the application of machine learning techniques to solve complex business problems in earlier roles, demonstrating a consistent ability to identify and leverage emerging technologies for practical impact.
Stanford University - Year 2004
Stanford University - Year 2000
Richard Montgomery High School - Year 1996
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Taraxa is a Layer-1 public ledger platform designed for audit logging of informal transactions and machine-state data. It aims to provide a fast, scalable, and decentralized infrastructure utilizing a blockDAG (Directed Acyclic Graph) architecture to achieve true finality, low transaction fees, and high concurrency. Taraxa is EVM-compatible, allowing for easy migration of Ethereum-based applications. The project focuses on making real-world, off-chain data more trustworthy and auditable, particularly for IoT (Internet of Things) applications, supply chains, and complex operational tracking, by anchoring data immutably on its ledger.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.