Discord

Discord

Associate Product Counsel, Safety

San Francisco Bay Area · Mid · Full-time

Sponsorship not specified$200k-$225kDetected 3 days ago
Machine LearningData ScienceProject Management

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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 intent detected

Discord Inc. obtained a prevailing wage determination for Marketing Managers in San Francisco, CALIFORNIA on 2026-06-10. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-07), and a green-card filing must follow before then or the employer starts over.+1 more active determination on file

Files H-1B transfers

18 transfer filings in the last year, covering 18 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

  • We help teams navigate complex legal landscapes while achieving their product goals by seeing around corners to identify risks and opportunities before they become roadblocks.
  • As Associate Product Counsel, Safety, you'll be a key member of our Product Legal team, partnering directly with our Safety Product organization.
  • You'll advise on a range of topics such as how users report harm, how those reports are routed and remediated, as well as how Discord's safety detection models are built and deployed.

Responsibilities

  • Support the development lifecycle and the guardrails governing deployment of models powering Discord's safety systems-partnering closely with Safety ML on how detection models are built, validated, and shipped.
  • Review and assess new safety features and practices from the early design stages and forward.
  • Partner cross-functionally with Product, Engineering, Data Science, Trust & Safety operations, and Policy to translate complex safety regulations into practical, scalable solutions.
  • Collaborate across the Discord Legal team - including regional Regulatory, Privacy, and Litigation Counsel-to develop aligned positions on cross-cutting safety obligations and drive strategic decisionmaking about how Discord meets them.
  • Ability to turn complex regulatory text into clear, operational guidance that product and engineering teams can actually implement
  • Proven ability to build trusted relationships with cross-functional partners and communicate complex legal concepts to non-legal audiences
  • Knowledge of online safety regulations and frameworks in the United States (Take It Down Act, COPPA, US-state age appropriate design or age assurance laws)
  • Exposure to child safety regulation and age-appropriate design requirements.
  • Experience developing legal operations infrastructure (playbooks, reviewer guidance, training, tracking systems).

Requirements

  • Experience with gaming platforms, social platforms, or UGC platforms.
  • Experience with Trust & Safety operations, content moderation systems, or detection/classifier model development.

Compensation

  • The US base salary range for this full-time position is $200,000 to $225,000 + equity + benefits.
  • Our salary ranges are determined by role and level.

Company info

  • Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

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