Conferences / QCon
QCon AI New York 2026
Dec 15–16, 2026 · The Westin Jersey City Newport, Jersey City, NJ, United States Announced
- Conference
- QCon Software engineering
- Dates
- Dec 15, 2026 – Dec 16, 2026
- Venue
- The Westin Jersey City Newport
- Place
- Jersey City, NJ, United States
- Format
- In person
- Status
- Announced
- Attendance
- —
- Website
- newyork.qcon.ai
- Recorded
- 4 sponsors · 36 speaker appearances
- Notes
- Announced for Dec 15-16, 2026 at the Westin Jersey City Newport (479 Washington Blvd), marketed as New York. Program as published on newyork.qcon.ai/sessions/newyork2026 on 2026-11-08 (partial; speakers still being added). Sponsors from the live sponsors page on 2026-11-08 (Platinum Dynatrace; Gold Equal Experts, Freshworks; Silver Sonar), likely to grow.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Conference (2 days), early | $1,705 | Nov 10, 2026 | newyork.qcon.ai | |
| Conference (2 days) | $1,790 | Dec 8, 2026 | newyork.qcon.ai | |
| Conference (2 days), from Dec 9 | $1,875 | — | newyork.qcon.ai |
Sponsors 4
Speakers and talks 36
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Nancy Wang | 1Password | Keynote | When Software Becomes a User: Identity and Authorization for Agents in Production | — |
| Tara Sainath | Keynote | Audio Processing with Large Language Models | — | |
| Brian Yang | OpenAI | Speaker | Making AI Adoption Work Across an Engineering Team | — |
| Bryan Qiu | — | Speaker | How To Orchestrate, Govern, and Operate AI Coding Agents | — |
| Clémence Burnichon | Datadog | Speaker | With Great Tooling Comes Great Responsibilities | — |
| Cristian Lopez | Speaker | Building Pinterest’s VLM Serving Stack on NVIDIA Dynamo | — | |
| Diego Iruretagoyena | Microsoft | Speaker | Supercomputers and AI Agents for Self-Remediation at Azure High Performance Computing | — |
| Emrick Donadei | Speaker | Agent Evals Your Whole Org Can Write and Keep Running | — | |
| Eric Johanson | LangChain | Speaker | Building Agents for Production: Lessons from a LangChain SRE Agent in Production | — |
| Fabio Flores | DoorDash | Speaker | From Signal To Impact: The Eval Loop Behind Doordash’s Agentic Ordering System | — |
| Fan Yang | Netflix | Speaker | One Infrastructure, Every Model: How Netflix Scales ML & GenAI | — |
| Francisco Javier Arceo | Baseten | Speaker | Open Source Agentic Inference: Unlocking the Harness with vLLM | — |
| Ian Carrasco | Baseten | Speaker | From Speech Models to Voice Agents | — |
| Jason Zhou | OpenAI | Speaker | How AI Reshapes Organizations: Lessons from Enterprise Adoption | — |
| Joey Wang | Harvey | Speaker | Be Your Toughest Customer: Shipping Collaborative Agents Twice, to Our Own Org and to Lawyers | — |
| Kevin Kelley | Anthropic | Speaker | Navigating Agentic Standards: What to Build On Now and What to Watch | — |
| Lei Pan | Baseten | Speaker | From Speech Models to Voice Agents | — |
| Liz Fong-Jones | Honeycomb | Speaker | Reflections on the 2x Initiative at Honeycomb | — |
| Mehrnoosh Sameki | Microsoft | Speaker | From Intent to Enforcement: Open-Source Evaluation and Governance for AI AgentsPresentation | — |
| Meryem Arik | Doubleword | Speaker | The Software Factory: How a Swarm of Open Models Can Out-Code the Frontier | — |
| Min Chen | Speaker | High-Signal AI Code Review That Adapts to Your Codebase at Scale | — | |
| Nathen Harvey | — | Speaker | Building in the AI-First World: Scale Brilliance, Not Bottlenecks | — |
| Nina Thigpen, PhD | Speaker | Building On-Device Health Models with Small, Medium, and Massive Datasets | — | |
| Peter Bell | — | Speaker | The Future of the Engineering Org | — |
| Pratik Agarwal | Figma | Speaker | Beyond the Sandbox: Provisioning and Securing Production AI Agents at Figma | — |
| Raghav Saboo | DoorDash | Speaker | The New Architecture for Generative Search and Recommendations | — |
| Rajat Shah | Netflix | Speaker | One Infrastructure, Every Model: How Netflix Scales ML & GenAI | — |
| Rebecca Murphey | Honeycomb | Speaker | Reflections on the 2x Initiative at Honeycomb | — |
| Ronak Nathani | Speaker | Inside LinkedIn's Kubernetes Ops Agent: Skills, Tools, and Guardrails | — | |
| Sahil Vashishat | BlackRock | Speaker | Building an AgentOps Stack for Financial Services | — |
| Salina Wu | Speaker | Building Pinterest’s VLM Serving Stack on NVIDIA Dynamo | — | |
| Serena Ruan | — | Speaker | How To Orchestrate, Govern, and Operate AI Coding Agents | — |
| Shruti Nair | Speaker | Session-Tenant Compute & Sandbox Density with AX & Substrate | — | |
| Shuangfeng Li | Speaker | Bring the Power of On-Device AI to Life with Google AI Edge and Gemma | — | |
| Simon Maple | Tessl | Speaker | A Software Factory Build Report: What Worked, What Broke, What I'd Do Again | — |
| Tejas Chopra | Headroom Labs | Speaker | Make Each Token Count: Compression, Caching, and Retrieval for Production LLM Context | — |