Also listed as 2 other names
Pinterest Inc · Pinterest, Inc
Circuit mix
Where Pinterest shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research21%9 events
- Streaming15%13 events
- Modern data stack & practitioner11%8 events
- Open-source data infrastructure11%10 events
- AI engineering & MLOps10%8 events
- Vendor flagships & roadshows8%7 events
- Cloud providers7%6 events
- Software engineering7%6 events
- Python & R data science5%3 events
- Postgres & open-source databases3%3 events
- Enterprise, analyst & AI expos1%1 event
The year around now
Conferences where Pinterest sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
DownSponsored 1 conference in 2026, down from 2 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- Toronto Machine Learning Summit (TMLS)last sponsored 2021; the conference ran again in 2022–26
Steady 3
Sponsored in most years of its span at the same tier.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)6 of 8 years 2019–26, mostly Silver
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)3 of 4 years 2022–25, Silver
- Women in Data Science (WiDS) Conferenceevery year 2023–24, tier not listed
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyCon (national Python conferences)once, 2019, Gold
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
17 Cluster: Current · Data Streaming Summit circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 13 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 11 | 85% | |
| Meta | 10 | 77% |
| Baidu | 9 | 69% |
| Apple | 8 | 62% |
| Two Sigma | 8 | 62% |
| Alibaba Cloud | 7 | 54% |
| ByteDance | 7 | 54% |
| Microsoft | 7 | 54% |
| Amazon Web Services | 6 | 46% |
| Bloomberg | 6 | 46% |
| Capital One | 6 | 46% |
| Intuit | 6 | 46% |
| 6 | 46% | |
| Springer Nature | 6 | 46% |
| Tencent | 6 | 46% |
Neighborhood: companies with nearby conference footprints
Pinterest (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 13
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| KDD 2026 (32nd ACM SIGKDD Conference) | Aug 9–13, 2026 | Jeju, South Korea | Silver | Silver |
| KDD 2025 (31st ACM SIGKDD Conference) | Aug 3–7, 2025 | Toronto, Canada | Gold | Gold |
| CVPR 2025 | Jun 11–15, 2025 | Nashville, United States | Silver | Silver |
| KDD 2024 (30th ACM SIGKDD Conference) | Aug 25–29, 2024 | Barcelona, Spain | Gold | Gold |
| CVPR 2024 | Jun 17–21, 2024 | Seattle, United States | Silver | Silver |
| WiDS Stanford Conference 2024 | Mar 8, 2024 | Stanford, United States | — | Unlabeled |
| KDD 2023 (29th ACM SIGKDD Conference) | Aug 6–10, 2023 | Long Beach, United States | Silver | Silver |
| WiDS Stanford Conference 2023 | Mar 8, 2023 | Stanford, United States | — | Unlabeled |
| KDD 2022 (28th ACM SIGKDD Conference) | Aug 14–18, 2022 | Washington, United States | Silver | Silver |
| CVPR 2022 | Jun 19–24, 2022 | New Orleans, United States | Silver | Silver |
| TMLS 2021 Annual Virtual Conference | Nov 15–18, 2021 | — | Silver Sponsors | Silver |
| KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | Aug 4–8, 2019 | Anchorage, United States | Exhibitor | Other |
| PyCon US 2019 | May 1–9, 2019 | Cleveland, United States | Gold | Gold |
Speakers 123
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Cristian Lopez | QCon AI New York 2026 | speaker | Building Pinterest’s VLM Serving Stack on NVIDIA Dynamo | — |
| Salina Wu | QCon AI New York 2026 | speaker | Building Pinterest’s VLM Serving Stack on NVIDIA Dynamo | — |
| Jordan Cutler | QCon San Francisco 2026 | speaker | Use AI to Multiply Your Team as a Staff Engineer | — |
| Vahid Hashemian | Current San Francisco 2026 | speaker | The MirrorMaker That Lies to Kafka (and Gets Away With It) | — |
| John Grass | TiDB SCaiLE 2026 | speaker | How Pinterest Runs TiDB at Fleet Scale | — |
| Tailin Lyu | TiDB SCaiLE 2026 | speaker | How Pinterest Runs TiDB at Fleet Scale | — |
| Liang Mou | Data Streaming Summit 2026: The Data+Agent Conference | speaker | Next-Generation DB Ingestion at Pinterest: From CDC + Iceberg to Agentic Onboarding | Video |
| Owen Zhang | Data Streaming Summit 2026: The Data+Agent Conference | speaker | Next-Generation DB Ingestion at Pinterest: From CDC + Iceberg to Agentic Onboarding | Video |
| Vahid Hashemian | Data Streaming Summit 2026: The Data+Agent Conference | speaker | The MirrorMaker That Lies to Kafka (and Gets Away With It) | Video |
| Faisal Farooq | KDD 2026 (32nd ACM SIGKDD Conference) | ADS invited talk | — | — |
| Istvan Podor | Percona Live 2026 Bay Area | speaker | Pinterest's AI DBA | Slides · Video |
| Jeff Xiang | Current London 2026 | speaker | Handling Surges in Petabyte-Scale Streaming Systems by Doing Nothing | — |
| Anna Juchnicki | AI Engineer Miami 2026 | speaker | From Tickets to PRs: Shipping a Governed Snowflake Ops Agent with LangGraph and MCP | — |
| Drasko Profirovic | Data Engineering Open Forum 2026 | speaker | Lightning Talks: SparkMedic: First Aid for Failing Jobs | Video |
| Lu Niu | Iceberg Summit 2026 | speaker | Expanding Iceberg Engine Support: Storage Partitioned Joins (SPJ) for Flink Batch at Pinterest | Video |
| Tucker Harvey | Iceberg Summit 2026 | speaker | Expanding Iceberg Engine Support: Storage Partitioned Joins (SPJ) for Flink Batch at Pinterest | Video |
| Ashish Singh | AWS re:Invent 2025 | lightning talk | Scaling Pinterest: Iceberg solutions for petabyte-scale challenges | Video |
| Faye Zhang | QCon San Francisco 2025 | speaker | From Content to Agents: Scaling LLM Post-Training Through Real-World Applications and Simulation | — |
| Sebastian Vasquez | Data Con LA 2025 | speaker | Swerve! A Career-Pivot Story: From Comms to Data | — |
| Chia-Wei Chen | JupyterCon 2025 | lightning talk | Lightning Talk: GitHub-First Jupyter: How Pinterest Solved Notebook Collaboration at Scale | — |
| Nikhil Kagita | JupyterCon 2025 | lightning talk | Lightning Talk: GitHub-First Jupyter: How Pinterest Solved Notebook Collaboration at Scale | — |
| Chia-Wei Chen | PyTorch Conference 2025 | speaker | Fault Tolerance Training at Pinterest | — |
| Karthik Anantha Padmanabhan | PyTorch Conference 2025 | speaker | Fault Tolerance Training at Pinterest | — |
| Kousik Rajesh | PyTorch Conference 2025 | speaker | Scaling Inference of O(10K)-length Sequence Recommendation Models Using CudaGraph and Triton Kernels | — |
| Saurabh Vishwas Joshi | PyTorch Conference 2025 | speaker | Scaling Inference of O(10K)-length Sequence Recommendation Models Using CudaGraph and Triton Kernels | — |
| Lu Niu | Flink Forward Barcelona 2025 | speaker | Unifying Batch and Streaming: Scalable Feature Engineering at Pinterest | — |
| Tucker Harvey | Flink Forward Barcelona 2025 | speaker | Unifying Batch and Streaming: Scalable Feature Engineering at Pinterest | — |
| Alberto Ordonez Pereira | TiDB SCaiLE 2025 | speaker | — | — |
| John Grass | TiDB SCaiLE 2025 | speaker | — | — |
| Qi Li | TiDB SCaiLE 2025 | speaker | — | — |
| Rachel Sun | Airflow Summit 2025 | talk | How Pinterest Uses Ai to Empower Airflow Users for Troubleshooting | — |
| Yuan Gao | TiDB SCaiLE 2025 | speaker | — | — |
| Nan Zhu | Data + AI Summit 2025 | speaker | Saving Millions From Millions: Navigating Towards Cost-Efficiency in Pinterest's Spark Jobs | — |
| Han Wang | AI Engineer World's Fair 2025 | speaker | What We Learned from Using LLMs in Pinterest Search | Video |
| Mukuntha Narayanan | AI Engineer World's Fair 2025 | speaker | What We Learned from Using LLMs in Pinterest Search | Video |
| Hanyi Zhang | Current London 2025 | speaker | Building a scalable and efficient real-time event counter framework with Flink(SQL) and Kafka | — |
| Heng Zhang | Current London 2025 | speaker | FlinkSQL Powered Asynchronous Data Processing in Pinterest’s Rule Engine Platform | — |
| Heng Zhang | Current London 2025 | speaker | Building a scalable and efficient real-time event counter framework with Flink(SQL) and Kafka | — |
| Rong Xie | Current London 2025 | speaker | FlinkSQL Powered Asynchronous Data Processing in Pinterest’s Rule Engine Platform | — |
| Felix Loesing | VeloxCon 2025 | speaker | Enhancing Pinterest's Data Platform: A 2025 Update on Gluten Integration | Video |
| Heng Zhang | Iceberg Summit 2025 | speaker | Apache Iceberg as Unified Storage Stack to Power Batch and Stream Processing at Pinterest | Video |
| Kanchi Masalia | Iceberg Summit 2025 | speaker | Apache Iceberg as Unified Storage Stack to Power Batch and Stream Processing at Pinterest | Video |
| Pucheng Yang | Iceberg Summit 2025 | speaker | Scaling Iceberg Adoption at Pinterest with Gravitino | Video |
| Tucker Harvey | Iceberg Summit 2025 | speaker | Apache Iceberg as Unified Storage Stack to Power Batch and Stream Processing at Pinterest | Video |
| Madhuri Racherla | AWS re:Invent 2024 | breakout | Modernization at scale made easy with Netflix and Pinterest (sponsored by AMD) | Video |
| Faye Zhang | QCon San Francisco 2024 | speaker | Search: from Linear to Multiverse | — |
| Vahid Hashemian | Data Streaming Summit 2024 | speaker | Pinterest Tiered Storage for Apache Kafka | — |
| Chen Qin | Flink Forward Berlin 2024 | speaker | Customize Flink for Pinterest User Cases at Scale | — |
| Lu Niu | Flink Forward Berlin 2024 | speaker | Customize Flink for Pinterest User Cases at Scale | — |
| Tucker Harvey | Flink Forward Berlin 2024 | speaker | Customize Flink for Pinterest User Cases at Scale | — |
| Aria Wang | Community Over Code North America 2024 | speaker | Harnessing The Power of Apache Celeborn for Efficient and Scalable Shuffle Systems at Pinterest | Slides |
| Nan Zhu | Community Over Code North America 2024 | speaker | Harnessing The Power of Apache Celeborn for Efficient and Scalable Shuffle Systems at Pinterest | Slides |
| Ke Chen | HTAP Summit 2024 | speaker | PinGraph: Graph Service on TiDB at Pinterest | — |
| Ashish Singh | Iceberg Summit 2024 | speaker | Unleashing Analytical Productivity at Pinterest with Apache Iceberg | Video |
| Yi He | Iceberg Summit 2024 | speaker | Unleashing Analytical Productivity at Pinterest with Apache Iceberg | Video |
| Aayush Mudgal | Data Innovation Summit 2024 | featured | — | — |
| Zaheen Aziz | VeloxCon 2024 | speaker | Unlocking Data Query Performance @ Pinterest: Integrating Spark SQL with Gluten and Velox | — |
| Carlos Benavides | Trino Summit 2023 | speaker | Pinterest journey to achieving 2x efficiency improvement on Trino | Video |
| Ambud Sharma | AWS re:Invent 2023 | breakout | Performance & efficiency at Pinterest: Optimizing the latest instances (sponsored by Intel) | Video |
| Ambud Sharma | AWS re:Invent 2023 | breakout | [NEW LAUNCH] Coming soon | — |
| Ambud Sharma | AWS re:Invent 2023 | breakout | AWS Graviton: The best price performance for your AWS workloads | Video |
| Dave Burgess | AWS re:Invent 2023 | innovation talk | Putting your data to work with generative AI | Video |
| Karthik Anantha Padmanabhan | AWS re:Invent 2023 | breakout | Large model training on AWS Deep Learning AMIs & PyTorch, ft. Pinterest | Video |
| Saurabh Vishwas Joshi | AWS re:Invent 2023 | breakout | Cutting-edge AI with AWS and NVIDIA | Video |
| Soam Acharya | AWS re:Invent 2023 | breakout | Data processing at massive scale on Amazon EKS | Video |
| Divye Kapoor | Flink Forward Seattle 2023 | speaker | Tuning Flink Clusters for Stability and Efficiency | — |
| Heng Zhang | Flink Forward Seattle 2023 | speaker | Next generation DB ingestion at Pinterest | — |
| Liang Mou | Flink Forward Seattle 2023 | speaker | Next generation DB ingestion at Pinterest | — |
| Aayush Mudgal | 4th Annual MLOps World Conference & Expo 2023 | speaker | Evolution of ML Training and Serving Infrastructure at Pinterest | — |
| Rainie Li | Community Over Code North America 2023 | speaker | Running Large-Scale Spark Applications on Kubernetes with YuniKorn: Lessons from Pinterest | — |
| Aayush Mudgal | QCon San Francisco 2023 | speaker | Unpacking how Ads Ranking Works @Pinterest | — |
| Alberto Ordonez Pereira | HTAP Summit 2023 | speaker | How Pinterest Leverages TiDB to Support Multiple Data Models | Video |
| Chia-Wei Chen | Ray Summit 2023 | speaker | Last Mile Data Processing for ML Training using Ray | — |
| Quingxian Lai | Ray Summit 2023 | speaker | Last Mile Data Processing for ML Training using Ray | — |
| Raymond Lee | Ray Summit 2023 | speaker | Last Mile Data Processing for ML Training using Ray | — |
| Ernie Souhrada | Percona Live 2023 | speaker | No Passwords, Please, We're Pinterest: Secure Identity-Based Authentication for MySQL | — |
| David Chaiken | AWS re:Invent 2022 | breakout | Sustainability and AWS silicon | Slides · Video |
| Ankita Girish Wagh | HTAP Summit 2022 | speaker | — | — |
| Chunyan Wang | Current 2022: The Next Generation of Kafka Summit | featured | — | — |
| Kanchi Masalia | Flink Forward San Francisco 2022 | speaker | Flink powered stream processing platform at Pinterest | — |
| Rainie Li | Flink Forward San Francisco 2022 | speaker | Flink powered stream processing platform at Pinterest | — |
| Charles Huang | 3rd Annual MLOps World 2022 | speaker | Managing Human in the Loop Systems Without Burning Out Your Engineers | — |
| Ace Haidrey | Airflow Summit 2022 | talk | Airflow at Pinterest | Slides · Video |
| Dinghang Yu | Airflow Summit 2022 | talk | Airflow at Pinterest | Slides · Video |
| Yulei Li | Airflow Summit 2022 | talk | Airflow at Pinterest | Slides · Video |
| Oleksandr Kuzminskyi | Percona Live 2022 | speaker | ProxySQL at Scale on AWS | — |
| David Chaiken | AWS re:Invent 2021 | leadership session | Driving innovation and insight with cloud data on AWS storage | Slides · Video |
| Wei Zhu | AWS re:Invent 2021 | breakout | What's new in Amazon OpenSearch Service | Slides · Video |
| Chen Qin | Flink Forward Global 2021 | keynote | KEYNOTE: Sharing what we love: The Apache Flink story at Pinterest | — |
| Divye Kapoor | Flink Forward Global 2021 | speaker | NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest | — |
| Fanshu Jiang | Flink Forward Global 2021 | speaker | DrSquirrel - A self-service diagnosis tool for Flink jobs | — |
| Heng Zhang | Flink Forward Global 2021 | speaker | NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest | — |
| Lu Niu | Flink Forward Global 2021 | speaker | DrSquirrel - A self-service diagnosis tool for Flink jobs | — |
| Ace Haidrey | Airflow Summit 2021 | talk | Pinterest’s Migration Journey | Video |
| Ace Haidrey | Airflow Summit 2021 | talk | Usability Improvements: Debugging & Inspection Tooling | Video |
| Ashim Shrestha | Airflow Summit 2021 | talk | Usability Improvements: Debugging & Inspection Tooling | Video |
| Ashim Shrestha | Airflow Summit 2021 | talk | Pinterest’s Migration Journey | Video |
| Dinghang Yu | Airflow Summit 2021 | talk | Pinterest’s Migration Journey | Video |
| Dinghang Yu | Airflow Summit 2021 | talk | Usability Improvements: Debugging & Inspection Tooling | Video |
| Euccas Chen | Airflow Summit 2021 | talk | Pinterest’s Migration Journey | Video |
| Euccas Chen | Airflow Summit 2021 | talk | Usability Improvements: Debugging & Inspection Tooling | Video |
| Yulei Li | Airflow Summit 2021 | talk | Pinterest’s Migration Journey | Video |
| Yulei Li | Airflow Summit 2021 | talk | Usability Improvements: Debugging & Inspection Tooling | Video |
| Nadia Fawaz | TMLS Annual Conference & Expo 2020 | speaker | Inclusive Search and Recommendations | — |
| Chen Qin | Flink Forward Global 2020 | speaker | Growing a managed Flink streaming platform from scratch | — |
| Ashish Kumar Singh | PrestoCon 2020 | speaker | Presto at Pinterest | — |
| Lianghong Xu | Distributed SQL Virtual Summit 2020 | speaker | Pinterest’s Exploration of Distributed SQL | — |
| Ace Haidrey | Airflow Summit 2020 | talk | Airflow as the next gen of workflow system at Pinterest | Slides · Video |
| Dinghang Yu | Airflow Summit 2020 | talk | Airflow as the next gen of workflow system at Pinterest | Slides · Video |
| Yulei Li | Airflow Summit 2020 | talk | Airflow as the next gen of workflow system at Pinterest | Slides · Video |
| Pucheng Yang | Presto Summit 2020 (virtual webinar series) | speaker | Presto: A key component for analytics at Pinterest | Slides · Video |
| Yi He | Presto Summit 2020 (virtual webinar series) | speaker | Presto: A key component for analytics at Pinterest | Slides · Video |
| Prasun Ghosh | AWS re:Invent 2019 | breakout | [NEW LAUNCH!] [REPEAT 1] New Amazon SageMaker notebook experience: Share & collaborate at scale | Slides · Video |
| Ayana Miller | QCon San Francisco 2019 | speaker | Managing Privacy & Data Governance for Next Generation Architecture | Video |
| Ayana Miller | QCon San Francisco 2019 | panelist | Panel: Ethics in Software Engineering | Video |
| Ben Liu | Flink Forward Europe 2019 | speaker | Real-time Experiment Analytics at Pinterest with Apache Flink | — |
| Parag Kesar | Flink Forward Europe 2019 | speaker | Real-time Experiment Analytics at Pinterest with Apache Flink | — |
| Steven Bairos-Novak | Flink Forward Europe 2019 | panelist | Panel Discussion: Building Self Service Platforms for Apache Flink | — |
| Steven Bairos-Novak | Flink Forward Europe 2019 | speaker | Building a Self-Service Streaming Platform at Pinterest | — |
| Julie Trier | PyData Córdoba 2019 | speaker | Demystifying SEO with experiments | — |
| Joe Gordon | PyCon US 2019 | speaker | Migrating Pinterest from Python2 to Python3 | Video |
| Joe Gordon | PyCon US 2019 | speaker | Syntax Trees and Python - Automated Code Transformations | Video |
| Jordan Adler | PyCon US 2019 | speaker | Migrating Pinterest from Python2 to Python3 | Video |