Companies
Spotify
Product category (jev): Not a vendor 65% confident
Org type (jev): End-user enterprise 99% confident
Conferences sponsored6
Events sponsored9
Speaker slots6351 distinct people
Conferences present at22sponsor or speaker
Years active2019–2027
Circuit mix
Where Spotify shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps25%12 events
- Python & R data science20%10 events
- Research13%4 events
- Streaming11%4 events
- Software engineering & trading tech11%5 events
- Modern data stack & practitioner9%5 events
- Enterprise, analyst & AI expos9%5 events
- Microsoft data platform2%1 event
- Cloud providers2%1 event
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. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
5
3
2
7
6
5
3
12
1
Distinct speakers
People from this company on a program that year, each counted once.
5
4
1
14
8
6
3
19
1
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Gold
- Silver
- Other / unlabeled
1
2
2
1
3
Where they've grown or pulled back
UpSponsored 3 conferences in 2026, up from 2 in 2022.
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.
New 3
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, unranked tier
- MCP Dev Summit / AGNTCon + MCPConfirst sponsored 2026, Silver
- QConfirst sponsored 2026, Silver
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- NeurIPS (Conference on Neural Information Processing Systems)Gold 2020 → Silver 2025
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyDataonce, 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).
- Uber0.76
- JPMorgan Chase0.75
- OpenAI0.74
- Runpod0.74
- Netflix0.74
- Thomson Reuters0.73
- Shopify0.72
- Figma0.71
11 Cluster: NeurIPS · ACM SIGKDD circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 9 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 7 | 78% | |
| Amazon Web Services | 4 | 44% |
| IBM | 4 | 44% |
| Microsoft | 4 | 44% |
| OpenAI | 4 | 44% |
| Runpod | 4 | 44% |
| Alibaba Cloud | 3 | 33% |
| Apple | 3 | 33% |
| Arm | 3 | 33% |
| Bloomberg | 3 | 33% |
| Cambridge University Press | 3 | 33% |
| Capital One | 3 | 33% |
| Citadel | 3 | 33% |
| The D. E. Shaw Group | 3 | 33% |
| G-Research | 3 | 33% |
Neighborhood: companies with nearby conference footprints
Spotify (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 9
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| AGNTCon + MCPCon North America 2026 | Oct 22–23, 2026 | San Jose, United States | Silver | Silver |
| AI Engineer Europe 2026 | Apr 8–10, 2026 | London, United Kingdom | SUPPORTING PARTNERS | Other |
| QCon London 2026 | Mar 16–18, 2026 | London, United Kingdom | Silver | Silver |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Silver Pavilion | Silver |
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Platinum | Platinum |
| Beam Summit 2022 | Jul 18–20, 2022 | Austin, United States | Gold | Gold |
| NeurIPS 2020 | Dec 6–12, 2020 | — | Gold | Gold |
| Beam Digital Summit 2020 | Aug 24–28, 2020 | — | Gold | Gold |
| PyData Córdoba 2019 | Sep 27–29, 2019 | Córdoba, Argentina | Gold | Gold |
Speakers 63
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Reza Khanzadi | Data Innovation Summit 2027 | featured | — | — |
| Reinoud Kruithof | AGNTCon + MCPCon Europe 2026 | speaker | Spotify’s Bet on MCP and Investment in Open Source | — |
| Yannick Epstein | AGNTCon + MCPCon Europe 2026 | speaker | Spotify’s Bet on MCP and Investment in Open Source | — |
| Timothy Leonard | dbt Summit 2026 | keynote | dbt Summit 2026 Keynote: Level Up | Video |
| Aamir Anwar | Ray Summit 2026 | featured | Ray in Production: Engineering Lessons from Spotify's Hendrix Framework for Training LLMs | — |
| Paul Bennett | KDD 2026 (32nd ACM SIGKDD Conference) | ADS invited talk | — | — |
| Jacqueline Wood | AI Engineer World's Fair 2026 | speaker | Spotify LLM Recsys | — |
| Yves Raimond | AI Engineer World's Fair 2026 | speaker | Spotify LLM Recsys | — |
| Kian Mehrabani | DuckCon #7 | talk | How we built a SQL layer over our user listening history for agentic access | — |
| Thomas Ogden | PyData London 2026 | talk | No Ropes on a Boat: Coherent Forecasting | — |
| Pratik Rasam | QCon AI Boston 2026 | speaker | Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform | — |
| Henrik Lindström | Data Innovation Summit 2026 | featured | — | — |
| Dan Shetty | Data Engineering Open Forum 2026 | speaker | Lightning Talks: Data Lineage in 2026: From Compliance Checkbox to Critical Platform Investment | — |
| Shivam Verma | AI Engineer Europe 2026 | speaker | Personalization in the Era of LLMs | — |
| Guillaume Perchais | AI Product Day 2026 | speaker | Construire un produit d’IA fiable : L’exemple de Vedder, la plateforme Text-to-Insights de Spotify | — |
| Aleksandar Mitic | QCon London 2026 | speaker | Rewriting All of Spotify's Code Base, All the Time | — |
| Jo Kelly-Fenton | QCon London 2026 | speaker | Rewriting All of Spotify's Code Base, All the Time | — |
| Mike Lewis | QCon London 2026 | speaker | From Prompt to Production: How Spotify Builds Internal Tools in Days with AI and Platform Engineering | — |
| Stuart Clark | QCon London 2026 | speaker | From Prompt to Production: How Spotify Builds Internal Tools in Days with AI and Platform Engineering | — |
| Yorgos Askalidis | DataTune 2026 | talk | Shaping Insight in an Age of Abundance: Data Science Beyond the Tools | — |
| Shireen Kheradpey | PyTorch Conference 2025 | speaker | Sponsored Session: Everything Everywhere all at Once: vLLM Hardware Optionality with Spotify and Google | — |
| Lynn Root | PyCon US 2025 | keynote | — | Video |
| Peter Sobot | PyCon US 2025 | speaker | Working with Audio in Python (feat. Pedalboard) | Video |
| Henrik Lindström | NDSML Summit 2024 (9th edition) | speaker | — | — |
| Tim Leonard | Coalesce 2024 | speaker | Needle in the (data) stack: How Spotify powers Salesforce | Video |
| Lynn Root | PyCon US 2024 | speaker | The Design of Everyday APIs | Video |
| Oskar Stål | Data Innovation Summit 2024 | keynote | — | — |
| Mike Lewis | QCon London 2024 | speaker | Everything Is a Plugin: How the Backstage Architecture Helps Platform Teams at Spotify and Beyond Spread Ownership and Deliver Value | — |
| Pia Nilsson | QCon London 2024 | speaker | Everything Is a Plugin: How the Backstage Architecture Helps Platform Teams at Spotify and Beyond Spread Ownership and Deliver Value | — |
| Mihai Tabara | AWS re:Invent 2023 | breakout | Transforming deployment: Deep dive into Backstage on AWS | Video |
| Alon Nir | PyCon UK 2023 | talk | 3 Lessons Data Scientists Can Learn from World War II | — |
| David Xia | Ray Summit 2023 | speaker | How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience | — |
| Keshi Dai | Ray Summit 2023 | speaker | How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience | — |
| Alon Nir | PyData Amsterdam 2023 | talk | Power Users, Long Tail Users, and Everything In Between: Choosing Meaningful Metrics and KPIs for Product Strategy | — |
| Divita Vohra | QCon New York 2023 | speaker | Introducing the Hendrix ML Platform: An Evolution of Spotify’s ML Infrastructure | — |
| Matt Clarke | QCon New York 2023 | speaker | Demystifying Kubernetes Platforms with Backstage | — |
| Mike Seid | QCon New York 2023 | speaker | Introducing the Hendrix ML Platform: An Evolution of Spotify’s ML Infrastructure | — |
| Emil Pedersen | Data Innovation Summit 2023 | featured | — | — |
| Brian Pei | Coalesce 2022 New Orleans | speaker | How the Content Analytics team at Spotify avoids data indigestion in BigQuery with dbt | Video |
| Mitchell Silverman | Coalesce 2022 New Orleans | speaker | How the Content Analytics team at Spotify avoids data indigestion in BigQuery with dbt | Video |
| Nick Baker | Coalesce 2022 New Orleans | speaker | How the Content Analytics team at Spotify avoids data indigestion in BigQuery with dbt | Video |
| David Xia | Ray Summit 2022 | speaker | How Spotify sped up ML research and prototyping with Ray | — |
| Keshi Dai | Ray Summit 2022 | speaker | How Spotify sped up ML research and prototyping with Ray | — |
| Annica Ivert | Beam Summit 2022 | workshop | Scio in-depth workshop | Video |
| Claire McGinty | Beam Summit 2022 | workshop | Scio in-depth workshop | Video |
| Kellen Dye | Beam Summit 2022 | workshop | Scio in-depth workshop | Video |
| Michel Davit | Beam Summit 2022 | workshop | Scio in-depth workshop | Video |
| Rickard Zwahlen | Beam Summit 2022 | speaker | Tailoring pipelines at Spotify | Slides · Video |
| Lynn Root | EuroPython 2022 | talk | The Design of Everyday APIs | Video |
| Peter Sobot | EuroPython 2022 | talk | Working with Audio in Python (feat. Pedalboard) | Video |
| Gandalf Hernandez | 3rd Annual MLOps World 2022 | speaker | Becoming An ML Platform Power Builder Powered by ML Observability | — |
| Anders Nyman | Data Innovation Summit 2022 | featured | — | — |
| Alon Nir | EuroPython 2021 Online | talk | Sliding into Causal Inference, with Python! | Video |
| Alon Nir | PyCon US 2021 (Online) | speaker | Getting an Edge with Network Analysis with Python | Video |
| Filipe Regadas | Flink Forward Global 2020 | speaker | Data processing at Spotify - Why portability matters | — |
| Julien Tournay | Flink Forward Global 2020 | speaker | Data processing at Spotify - Why portability matters | — |
| Luis Armando Bianchin | Beam Digital Summit 2020 | speaker | DBeam: exporting SQL tables into Avro records using Beam SDK | Video |
| Lynn Root | Beam Digital Summit 2020 | speaker | Wiggly air and data processing at Spotify | Video |
| Tony Jebara | TensorFlow World 2019 | keynote | Personalization of Spotify Home and TensorFlow | — |
| Vladan Radosavljevic | PyData Córdoba 2019 | keynote | Homepage Personalization Behind-the-Scenes | — |
| Lynn Root | EuroPython 2019 | talk | Advanced asyncio: Solving Real-world Production Problems | Video |
| Kristian Lindwall | QCon New York 2019 | speaker | Breaking Hierarchy - How Spotify Enables Engineer Decision Making | — |
| Gleb Kanterov | Beam Summit Europe 2019 | speaker | Schema-aware PCollections and Beam SQL | Video |