Zendesk
Circuit mix
Where Zendesk shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner30%3 events
- Cloud providers30%2 events
- Vendor flagships & roadshows20%2 events
- Python & R data science20%2 events
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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| AWS re:Invent | ||||||||||
| Coalesce | ||||||||||
| DASH | ||||||||||
| Data Council | ||||||||||
| PyCon (national Python conferences) | ||||||||||
| PyData |
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
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
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2025.
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.
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).
- Okta0.76
- SentinelOne0.75
- Chick-fil-A0.74
- FanDuel0.72
- Nixtla0.71
- Slack0.70
- PagerDuty0.67
- Nationwide0.67
14 Cluster: AWS re:Invent · Google Cloud Next circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
Neighborhood: companies with nearby conference footprints
Zendesk (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 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| AWS re:Invent 2025 | Dec 1–5, 2025 | Las Vegas, United States | Gold | Gold |
Speakers 12
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Hannah Deveney | AWS re:Invent 2026 | lightning talk | From AI that responds to AI that delivers measurable outcomes with Zendesk and AWS | — |
| Ayan Putatunda | dbt Summit 2026 | speaker | AI-powered data development: how agentic SDLC & dbt-MCP transformed our data engineering workflow | Video |
| Suhas Jangoan | dbt Summit 2026 | speaker | AI-powered data development: how agentic SDLC & dbt-MCP transformed our data engineering workflow | Video |
| Isaac Chung | PyCon Italia 2026 | talk | Reproducibility in Embedding Benchmarks | Video |
| Abhinay Kathuria | AWS re:Invent 2025 | breakout | [NEW LAUNCH] Nova 2: Enterprise intelligence optimized for the real world | Video |
| Jonathan Barouch | AWS re:Invent 2025 | lightning talk | How AI is rewriting the contact center play book (sponsored by Zendesk) | Video |
| Nick Hefty | AWS re:Invent 2025 | breakout | Finding the Noisy Neighbor: Patterns for Per‑Customer Performance at Scale (sponsored by Datadog) | Video |
| Chad Isenberg | Coalesce 2025 | speaker | How Zendesk built a cross-domain, multi-platform data strategy | Video |
| Isaac Chung | PyData London 2025 | talk | Reproducibility in Embedding Benchmarks | — |
| Fred Moyer | Dash 2021 | speaker | No Average Customers: Delivering customer happiness with customer specific SLOs | — |
| Chris Hausler | Data Council Singapore 2019 | talk | Building Data Products with Machine Learning at Zendesk | — |
| Blake Scrivner | Dash 2019 | speaker | Lead Lead and Not Lead Follow | — |