Asana

Asana

Senior Privacy Engineer

US - Remote · Senior

Sponsorship not specified$235k-$267kDetected 1 day ago
Machine LearningData EngineeringCybersecurityIncident ResponseComplianceCommunicationCollaboration

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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 follow-through: 70%

Of 10 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

8 transfer filings in the last year, covering 8 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

  • This role reports to Asana's Head of Global Privacy, Data Protection, and Compliance.
  • This role can either be fully remote depending on which US state you live in, or based in our San Francisco office with an office-centric hybrid sche dule.
  • If based in-office: The standard in-office days are Monday, Tuesday, and Thursday.

Responsibilities

  • Proven experience building technical controls for data governance, including classification, lineage, retention, and deletion at scale.
  • Strong foundation in privacy-by-design principles and hands-on experience applying them throughout product development.

Requirements

  • Experience with cryptographic techniques, anonymization, and de-identification frameworks.

Skills

  • Evaluate and mitigate privacy risks in AI/ML systems, including training data pipelines and model outputs.
  • Conduct privacy impact assessments and threat modeling for high-risk data processing activities.

Compensation

  • What we'll offer Our comprehensive compensation package play s a big part in how we recognize you for the impact you have on our path to achieving our mission.

Company info

  • We are a tightly-knit and cooperative group committed to supporting teams throughout the organization, ensuring they have the necessary resources for success while protecting Asana's core values and interests.
  • To ensure pay is fair and not i mpacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
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This listing is sourced directly from Asana's careers page and normalized into a canonical job model.