Yodeck operates a SaaS digital signage platform built on Python, Django, React, and PostgreSQL, with a data stack anchored in Snowflake, dbt, and reverse ETL flows back to HubSpot. The hiring narrative is unmistakably sales-driven: 7 of 15 active roles are in sales, with 3 VP-level positions open, while engineering headcount remains lean (2 roles). This mix signals a shift from product-led to partner and indirect-sales motion — projects confirm it, with active work on partner ecosystem rollout, PRM adoption, and partner program scaling alongside core work on customer lifecycle analytics and revenue metrics.
Yodeck is a cloud-based digital signage platform enabling teams to create, manage, and distribute content to screens across physical locations. The product combines a web-based content management layer with Linux appliance hardware (Raspberry Pi–based), serving mid-market and enterprise customers in retail, hospitality, corporate, and public-sector verticals. Founded in 2015 and headquartered in San Francisco, Yodeck operates with 51–200 employees and is now actively building out a partner-led go-to-market function, with concurrent investment in data infrastructure (dbt, Snowflake, reverse ETL) to support subscription metrics, churn modeling, and revenue attribution.
Yodeck runs on Python, Django, React, and PostgreSQL for the core platform, with Snowflake + dbt for analytics, HubSpot for CRM, and reverse ETL to sync analytics back into sales systems. They are migrating from dbt Core to dbt Cloud.
Yes — 7 of 15 active roles are in sales, with hiring velocity accelerating. Open positions span mid-level, senior, and VP-level sales roles across the United States, Greece, and Cyprus.
Active projects include rolling out scalable partner programs and PRM adoption, building customer lifecycle analytics and core revenue models (MRR, churn, CAC), implementing data quality monitoring in dbt, and setting up reverse ETL flows to sync insights into HubSpot.
Yodeck's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.