Zendesk

Zendesk

Product Manager, MarTech & Digital Systems

San Francisco, California

Sponsorship not specified$220k-$330kDetected 126 days ago
Zendesk

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • At Zendesk, we are dedicated to accelerating revenue growth and optimizing our Go-To-Market strategy through innovative technology.

Compensation

  • $220k-$330k

Company info

  • Job Description At Zendesk, we are dedicated to accelerating revenue growth and optimizing our Go-To-Market strategy through innovative technology.
  • We are actively scaling our MarTech ecosystem and embedding artificial intelligence across our platforms to deliver highly personalized, seamless customer journeys at scale.
  • As part of our ongoing evolution, we are expanding our capabilities to support modern monetization models-including usage-based and consumption-based pricing.

This listing is sourced directly from Zendesk's careers page and normalized into a canonical job model.