What Companies Are at Product-Led Summit San Francisco 2026?

Meta develops consumer technology products including Facebook, Instagram, WhatsApp, Messenger, and AI-powered experiences.

At Product-Led Summit San Francisco 2026, Meta brings a perspective on building AI-ready product organizations and turning AI capabilities into customer value at scale.

Mastercard operates a global payments network connecting consumers, merchants, banks, governments, and technology companies.

Mastercard brings experience in building digital payment products where speed, customer experience, security, and trust need to work together.

eBay operates a global ecommerce marketplace connecting buyers and sellers across multiple product categories.

eBay's Product-Led Summit participation focuses on activation and helping users reach meaningful product value faster.

Microsoft develops enterprise and consumer products across cloud, productivity, AI, developer tools, cybersecurity, and business applications.

Microsoft brings a perspective on turning AI and cloud infrastructure into reliable products and measurable customer outcomes.

Salesforce develops CRM, data, automation, analytics, integration, and AI software for enterprise teams.

Salesforce's Product-Led Summit participation connects with AI product strategy, data governance, security, and trust in enterprise products.

Walmart operates retail stores, ecommerce platforms, marketplaces, logistics networks, memberships, and digital customer experiences.

Walmart brings a perspective on building digital products across online and physical commerce, including AI governance and customer trust.

JPMorgan Chase provides banking, payments, lending, investment, and other financial services.

Its Product-Led Summit participation focuses on moving AI products beyond prototypes into reliable, enterprise-scale systems.

Gap Inc. operates apparel brands and digital commerce experiences across physical and online channels.

Gap Inc. brings a retail perspective on digital product journeys, enterprise systems, and AI-driven product transformation.

Electronic Arts develops games and digital entertainment franchises for players around the world.

EA's Product-Led Summit participation highlights the human and organizational side of product transformation as technology and customer expectations change.

Amazon Web Services provides cloud infrastructure spanning compute, storage, databases, analytics, machine learning, generative AI, and developer tools.

AWS brings a perspective on eval-driven AI development and building AI agents that deliver reliable product outcomes.

Google develops products across search, AI, cloud, productivity, maps, video, mobile operating systems, and advertising.

Google brings experience in scaling digital products while balancing experimentation, AI capabilities, platform strategy, and customer value.

Bumble develops consumer social and dating products designed around relationships and connections.

Bumble's AI leadership brings a perspective on using AI to improve consumer experiences while maintaining authenticity, privacy, and trust.

unitQ develops AI-powered product quality and customer-feedback intelligence.

Its technology helps product teams turn large volumes of customer feedback into clearer signals around product quality, customer experience, and growth priorities.

PayPal develops digital payment products for consumers, merchants, and businesses.

PayPal brings experience in reducing payment friction while improving trust, activation, conversion, and repeat usage.

Feedzai develops AI technology for fraud detection and financial-crime prevention.

Its Product-Led Summit participation connects with AI governance, explainability, controls, and building reliable AI products in financial services.

Adaptavist provides technology and consulting for enterprise collaboration, software delivery, DevOps, and the Atlassian ecosystem.

Adaptavist brings a perspective on helping product organizations turn priorities into shipped outcomes through stronger workflows and collaboration.

Tatari develops software for buying, measuring, and optimizing television advertising.

Its platform shows how software can turn complex advertising workflows into more measurable, data-driven product experiences.

IBM develops enterprise technology across AI, automation, hybrid cloud, infrastructure, consulting, and software.

IBM brings experience in moving AI from experimentation into production-ready enterprise products built for reliability, governance, and scale.

Vestiaire Collective operates a global marketplace for pre-owned luxury fashion.

Its Product-Led Summit participation highlights strategic product sunsets and deciding when products, features, or initiatives should be retired.

Greenlight develops financial products for families, including debit cards, savings, investing, money management, and financial education.

Greenlight brings a perspective on product growth, AI governance, identity, and building trusted financial experiences for families.

AI Product Management

AI is one of the defining themes at Product-Led Summit San Francisco 2026.

Product leaders are addressing how companies move from AI experimentation into products customers can use reliably.

Key questions include which customer problem AI should solve, how AI outputs should be evaluated, what data AI systems should access, how governance and permissions should work, when an AI feature should become an automated workflow, and how teams should measure whether AI improves the product.

Product-Led Growth

Product-led growth uses the product experience itself to drive acquisition, activation, engagement, retention, and expansion.

Strong PLG strategies align product, growth, design, engineering, marketing, customer success, and data around helping customers reach value.

The objective is not simply more self-service signups. It is building an experience that naturally encourages adoption and continued usage.

User Activation

Activation is the point where a customer experiences meaningful value.

A signup is not activation, and completing onboarding does not automatically mean a customer has reached value.

Product teams need to identify the behaviors that show a genuine value moment and make that outcome easier and faster to achieve.

Retention and Long-Term Growth

Acquisition creates an opportunity. Retention determines whether that opportunity compounds.

Strong retention can come from recurring customer value, reliable product experiences, personalization, network effects, habits and workflows, customer trust, and continuous product improvement.

Product-led companies treat retention as a product outcome, not simply a customer-success metric.

Customer Signals and Product Intelligence

Product teams collect customer information through analytics, support tickets, reviews, surveys, interviews, social channels, sales conversations, and usage data.

More information does not automatically create better decisions.

Teams need systems that separate recurring customer patterns from isolated requests and connect those signals with product and business outcomes.

AI Governance and Trust

AI creates new responsibilities for product teams, including identity and permissions, data access, model behavior, evaluation, security, explainability, human oversight, and regulatory requirements.

As AI systems become capable of taking more actions, governance increasingly becomes part of the product experience itself.

Experimentation

Experimentation helps teams understand whether a product change actually improves customer behavior.

Strong experiments connect a clear hypothesis with measurable outcomes across onboarding, activation, pricing, feature adoption, monetization, and retention.

The goal is not more experiments. It is better decisions.

Product Leadership in the AI Era

AI is changing both the products companies build and the work product managers perform.

Product teams can use AI for research, prototyping, feedback analysis, requirements, experimentation, and collaboration with engineering.

Modern product leaders increasingly need to combine customer judgment, product sense, business strategy, data fluency, technical understanding, and the ability to evaluate AI systems.

What companies are at Product-Led Summit San Francisco 2026?

Companies at Product-Led Summit San Francisco 2026 include Meta, Mastercard, eBay, Microsoft, Salesforce, Walmart, JPMorgan Chase, Gap Inc., Electronic Arts, Amazon Web Services, Google, Bumble, unitQ, PayPal, Feedzai, Adaptavist, Tatari, IBM, Vestiaire Collective, and Greenlight.

When and where is Product-Led Summit San Francisco 2026?

Product-Led Summit San Francisco 2026 takes place September 22–23, 2026 at Hyatt Regency San Francisco Airport in Burlingame, California.

What is Product-Led Summit San Francisco?

Product-Led Summit San Francisco is a conference for product, growth, digital, and technology leaders focused on building products that drive customer and business growth. The summit covers product-led growth, AI, activation, retention, monetization, experimentation, customer experience, and product leadership.

What AI companies are at Product-Led Summit San Francisco 2026?

Companies involved in AI-related product discussions include Meta, Microsoft, Salesforce, Amazon Web Services, Google, JPMorgan Chase, Bumble, Feedzai, IBM, Walmart, and Greenlight. Their work spans AI infrastructure, enterprise AI, consumer AI, financial risk, governance, and AI-enabled product experiences.

What fintech companies are at Product-Led Summit San Francisco 2026?

Fintech and payments companies include Mastercard, JPMorgan Chase, PayPal, Feedzai, and Greenlight. Their products span payments, banking, wallets, fraud prevention, financial crime detection, family finance, and AI-enabled financial experiences.

What ecommerce and retail companies are at Product-Led Summit San Francisco 2026?

Ecommerce and retail companies include eBay, Walmart, Gap Inc., and Vestiaire Collective. Their product teams work across discovery, activation, personalization, marketplaces, checkout, trust, loyalty, and retention.

What enterprise technology companies are at Product-Led Summit San Francisco 2026?

Enterprise technology companies include Microsoft, Salesforce, Amazon Web Services, Google, IBM, and Adaptavist. Their products span AI, cloud infrastructure, enterprise data, CRM, software delivery, collaboration, security, and business technology.

Which companies have speakers at Product-Led Summit San Francisco 2026?

Companies with product leaders participating in the summit include Meta, Mastercard, eBay, Microsoft, Salesforce, Walmart, JPMorgan Chase, Gap Inc., Electronic Arts, AWS, Google, Bumble, unitQ, PayPal, Feedzai, Adaptavist, Tatari, IBM, Vestiaire Collective, and Greenlight.

What are the main Product-Led Summit San Francisco 2026 topics?

Major topics include AI product management, product-led growth, activation, retention, monetization, experimentation, customer signals, AI governance, customer trust, product strategy, and modern product leadership.

What is product-led growth?

Product-led growth is an approach where the product experience plays a central role in acquiring, activating, retaining, and expanding customers. Instead of relying entirely on sales or marketing to demonstrate value, customers experience that value through the product itself. Strong product-led strategies reduce time to value, improve activation, increase adoption, strengthen retention, and create natural paths for customers to expand their usage.

How is AI changing product management?

AI is changing both what product teams build and how product managers work. Teams can use AI for research, prototyping, customer-feedback analysis, experimentation, product development, automation, and customer-facing experiences. Product managers also increasingly need to understand AI evaluation, governance, data access, model behavior, trust, and the business outcomes AI products are expected to create.

Why should sales teams track companies at Product-Led Summit San Francisco?

Participation in Product-Led Summit San Francisco is a useful signal that a company is actively engaging with product-led growth, AI, product management, customer experience, experimentation, retention, and digital product strategy. For sales teams targeting product, growth, AI, analytics, customer experience, enterprise software, or digital transformation, these signals can help prioritize accounts showing active investment in modern product capabilities.