Zeta Global jobs, judged for you, free

What they do

Zeta Global is an AI marketing technology company. The Zeta Marketing Platform joins customer data, identity, and analytics, so that brands can find, grow, and keep customers. Athena, its AI agent, gives marketers insights and next steps. Zeta's data covers more than 245 million US consumer profiles. It also sells media, including LiveIntent ad serving.

What they value

• Grow: always learn, and raise the bar.
• Humanize: be authentic, and lead with empathy.
• Commit: do not settle, and own the result.
• Truth fosters trust: listen to understand, and debate with an open mind.
• Win together: let the best idea win.
• Fearless exploration: have the courage to pursue big new ideas.

Where they hire

Most roles are in India, in Bengaluru and Hyderabad, and in the United States, in New York, San Francisco, and Atlanta. Some are in London, Berlin, Prague, Copenhagen, Paris, and Toronto. About a quarter are remote, mostly in the US. Many office roles are hybrid. The Postings do not mention visa sponsorship.

Teams and roles

The board lists 105 openings. Engineering is the largest team, with 42.

• Engineering: backend, full stack, data platform, identity, real-time ad serving, site reliability, application security, and QA roles.
• Client management, customer success, and sales: account and partnership roles for marketing and media clients.
• Data science and analytics: data scientists and programmatic analysts, who work on automated ad buying.
• Product and design: product managers and product designers.
• Finance and operations: accounting, revenue, and treasury roles, mostly in Hyderabad.
• Media activation: paid search roles.

US Postings give a salary range, for example $150,000 to $200,000 for the lead identity engineer. Benefits include unlimited paid time off and employee equity.

What they look for

Engineering roles ask for many years of backend or full stack work, often 5 to 10 years or more. They ask for Python, Java, Ruby, or Scala, and distributed systems. Many name Kafka, AWS, Kubernetes, and NoSQL or columnar databases such as Aerospike and Snowflake. Several Postings ask for hands-on use of AI tools at work. Product roles ask for SaaS or marketing technology experience and a technical background. Customer success roles ask for account growth and renewals. Postings often ask for strong communication and ownership.