jobctl

Senior Threat Intelligence Analyst, Safety Intelligence

Roblox - San Mateo, CA, United States - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
154,970-184,570 USD / year
Categories
Moderation
Tech
pythondatasenior
Source
roblox
First observed
2026-09-08 23:49 UTC
Last seen
2026-10-09 16:24 UTC
Source claims posted
2026-04-13 18:01 UTC
Consecutive misses
0 of 3

What the posting says

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

As a Senior Threat Intelligence Analyst on the Safety Intelligence team, you'll proactively hunt for emerging threats to Roblox's community before they become incidents. You'll work across harm domains, following actors, networks, and tactics as they move between child endangerment, violent extremism, extortion, fraud, and other critical harms to surface connections that single-domain efforts can miss. You'll combine internal platform data, open-source and off-platform collection, and AI-assisted tooling to turn weak signals into finished intelligence that drives detection, enforcement, product changes, and partnerships. You'll report to the Manager, Safety Intelligence and Investigations and partner closely with Investigations, Moderation Operations, Policy, Product, Engineering, Data Science, and Law Enforcement Operations.

Please note: This role requires reviewing graphic, controversial, and offensive content in accordance with Roblox's handling policies.

You will:

Lead proactive, hypothesis-driven threat hunts across harm domains, using internal data, open-source intelligence, and off-platform collection to find the unknown unknowns: new actors, tactics, and evasion techniques, before they scale.

Identify cross-domain connections by tracking actors, networks, and behaviors that span multiple harm types, and assess how co-occurring harms reinforce one another on and off the platform.

Produce clear, multi-sourced finished intelligence (threat assessments, trend analyses, and briefings) for audiences from analysts to senior leaders, with stated confidence levels and actionable recommendations.

Turn findings into action by partnering with Data Science, Engineering, and Moderation Operations to develop detection signals and behavioral indicators, and by handing off high-risk leads to Investigations and Law Enforcement Operations.

Help define and maintain priority intelligence requirements and collection plans, and track how intelligence changes decisions so we can show its impact.

Build repeatable hunting methods, including playbooks, queries, and AI-assisted workflows, and mentor other analysts in tradecraft, analytic standards, and writing.

You have:

6+ years of experience in threat intelligence, trust and safety investigations, cybersecurity, extremism or counter-terrorism analysis, or a related intelligence discipline.

A track record of proactively hunting threat actors, not only responding to reports: forming hypotheses, collecting across multiple sources, and validating findings.

Working knowledge of more than one harm domain (for example child safety, violent extremism, fraud, extortion, or illicit goods) and the ability to see how they overlap.

Advanced proficiency with SQL, scripting (such as Python), and open-source intelligence methods to analyze large datasets, recognize behavioral patterns, and pivot between data sources.

Excellent written and verbal communication skills, with experience delivering finished intelligence to both technical and executive audiences.

Experience working across matrixed teams (such as Product, Engineering, Policy, Legal, and law enforcement) to turn analysis into action, and comfort operating in ambiguity.

Bonus: experience on an online platform, social media, or gaming trust and safety or intelligence team; experience applying AI or LLM tools to investigative workflows; experience with industry or law enforcement information sharing; relevant foreign language skills.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$154,970—$184,570 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Quality

Completeness: 80%
Honesty: 90%

Based on 61 observation(s).

Timeline

  1. *
    #645932 2026-09-08 23:49 UTC
    Published
  2. ~
    #651288 2026-09-09 07:49 UTC
    Modified
    • source_updated_at
      2026-09-08T17:56:32-04:00->2026-09-09T02:42:37-04:00
  3. ~
    #662807 2026-09-09 19:54 UTC
    Modified
    • source_updated_at
      2026-09-09T02:42:37-04:00->2026-09-09T14:43:47-04:00
  4. ~
    #672745 2026-09-10 07:54 UTC
    Modified
    • source_updated_at
      2026-09-09T14:43:47-04:00->2026-09-10T02:42:41-04:00
  5. ~
    #685513 2026-09-10 19:55 UTC
    Modified
    • source_updated_at
      2026-09-10T02:42:41-04:00->2026-09-10T14:42:54-04:00
  6. ~
    #694233 2026-09-11 07:56 UTC
    Modified
    • source_updated_at
      2026-09-10T14:42:54-04:00->2026-09-11T02:41:32-04:00
  7. ~
    #706565 2026-09-11 21:18 UTC
    Modified
    • source_updated_at
      2026-09-11T02:41:32-04:00->2026-09-11T14:43:17-04:00
  8. ~
    #719927 2026-09-12 21:19 UTC
    Modified
    • source_updated_at
      2026-09-11T14:43:17-04:00->2026-09-12T14:42:13-04:00
  9. ~
    #726777 2026-09-13 09:19 UTC
    Modified
    • source_updated_at
      2026-09-12T14:42:13-04:00->2026-09-13T02:41:50-04:00
  10. ~
    #733189 2026-09-13 21:19 UTC
    Modified
    • source_updated_at
      2026-09-13T02:41:50-04:00->2026-09-13T14:41:58-04:00
  11. ~
    #740119 2026-09-14 09:28 UTC
    Modified
    • source_updated_at
      2026-09-13T14:41:58-04:00->2026-09-14T02:42:06-04:00
  12. ~
    #753140 2026-09-14 21:29 UTC
    Modified
    • source_updated_at
      2026-09-14T02:42:06-04:00->2026-09-14T14:42:46-04:00
  13. ~
    #764683 2026-09-15 09:29 UTC
    Modified
    • source_updated_at
      2026-09-14T14:42:46-04:00->2026-09-15T02:42:28-04:00
  14. ~
    #777323 2026-09-15 21:30 UTC
    Modified
    • source_updated_at
      2026-09-15T02:42:28-04:00->2026-09-15T14:43:02-04:00
  15. ~
    #788061 2026-09-16 09:30 UTC
    Modified
    • source_updated_at
      2026-09-15T14:43:02-04:00->2026-09-16T02:42:29-04:00
  16. ~
    #800449 2026-09-16 21:31 UTC
    Modified
    • source_updated_at
      2026-09-16T02:42:29-04:00->2026-09-16T14:43:17-04:00
  17. ~
    #810688 2026-09-17 09:32 UTC
    Modified
    • source_updated_at
      2026-09-16T14:43:17-04:00->2026-09-17T02:43:20-04:00
  18. ~
    #820281 2026-09-17 21:32 UTC
    Modified
    • source_updated_at
      2026-09-17T02:43:20-04:00->2026-09-17T14:43:01-04:00
  19. ~
    #830625 2026-09-18 09:36 UTC
    Modified
    • source_updated_at
      2026-09-17T14:43:01-04:00->2026-09-18T02:42:24-04:00
  20. ~
    #846847 2026-09-18 21:37 UTC
    Modified
    • source_updated_at
      2026-09-18T02:42:24-04:00->2026-09-18T14:43:23-04:00
  21. ~
    #867125 2026-09-19 21:38 UTC
    Modified
    • source_updated_at
      2026-09-18T14:43:23-04:00->2026-09-19T14:41:49-04:00
  22. ~
    #874421 2026-09-20 09:39 UTC
    Modified
    • source_updated_at
      2026-09-19T14:41:49-04:00->2026-09-20T02:41:34-04:00
  23. ~
    #882142 2026-09-20 21:40 UTC
    Modified
    • source_updated_at
      2026-09-20T02:41:34-04:00->2026-09-20T14:41:20-04:00
  24. ~
    #889027 2026-09-21 09:49 UTC
    Modified
    • source_updated_at
      2026-09-20T14:41:20-04:00->2026-09-21T02:42:00-04:00
  25. ~
    #905535 2026-09-21 21:49 UTC
    Modified
    • source_updated_at
      2026-09-21T02:42:00-04:00->2026-09-21T14:42:49-04:00
  26. ~
    #918788 2026-09-22 09:53 UTC
    Modified
    • source_updated_at
      2026-09-21T14:42:49-04:00->2026-09-22T02:42:25-04:00
  27. ~
    #930317 2026-09-22 21:53 UTC
    Modified
    • source_updated_at
      2026-09-22T02:42:25-04:00->2026-09-22T15:45:12-04:00
  28. ~
    #941129 2026-09-23 09:54 UTC
    Modified
    • source_updated_at
      2026-09-22T15:45:12-04:00->2026-09-23T02:42:41-04:00
  29. ~
    #956678 2026-09-23 21:54 UTC
    Modified
    • source_updated_at
      2026-09-23T02:42:41-04:00->2026-09-23T14:43:40-04:00
  30. ~
    #967204 2026-09-24 09:59 UTC
    Modified
    • source_updated_at
      2026-09-23T14:43:40-04:00->2026-09-24T02:43:36-04:00
  31. ~
    #980223 2026-09-24 22:03 UTC
    Modified
    • source_updated_at
      2026-09-24T02:43:36-04:00->2026-09-24T14:43:17-04:00
  32. ~
    #994182 2026-09-25 10:08 UTC
    Modified
    • source_updated_at
      2026-09-24T14:43:17-04:00->2026-09-25T02:42:12-04:00
  33. ~
    #1007501 2026-09-25 22:13 UTC
    Modified
    • source_updated_at
      2026-09-25T02:42:12-04:00->2026-09-25T14:43:24-04:00
  34. ~
    #1022943 2026-09-26 22:19 UTC
    Modified
    • source_updated_at
      2026-09-25T14:43:24-04:00->2026-09-26T14:42:19-04:00
  35. ~
    #1029551 2026-09-27 10:19 UTC
    Modified
    • source_updated_at
      2026-09-26T14:42:19-04:00->2026-09-27T02:41:36-04:00
  36. ~
    #1036560 2026-09-27 22:19 UTC
    Modified
    • source_updated_at
      2026-09-27T02:41:36-04:00->2026-09-27T14:41:53-04:00
  37. ~
    #1043768 2026-09-28 10:25 UTC
    Modified
    • source_updated_at
      2026-09-27T14:41:53-04:00->2026-09-28T02:42:44-04:00
  38. ~
    #1054321 2026-09-28 22:26 UTC
    Modified
    • source_updated_at
      2026-09-28T02:42:44-04:00->2026-09-28T14:43:11-04:00
  39. ~
    #1063497 2026-09-29 10:34 UTC
    Modified
    • source_updated_at
      2026-09-28T14:43:11-04:00->2026-09-29T02:42:58-04:00
  40. ~
    #1077149 2026-09-29 22:36 UTC
    Modified
    • source_updated_at
      2026-09-29T02:42:58-04:00->2026-09-29T16:09:38-04:00
  41. ~
    #1082756 2026-09-30 02:36 UTC
    Modified
    • source_updated_at
      2026-09-29T16:09:38-04:00->2026-09-29T20:00:55-04:00
  42. ~
    #1088376 2026-09-30 10:37 UTC
    Modified
    • source_updated_at
      2026-09-29T20:00:55-04:00->2026-09-30T02:42:41-04:00
  43. ~
    #1099694 2026-09-30 22:37 UTC
    Modified
    • source_updated_at
      2026-09-30T02:42:41-04:00->2026-09-30T14:43:39-04:00
  44. ~
    #1109366 2026-10-01 10:41 UTC
    Modified
    • source_updated_at
      2026-09-30T14:43:39-04:00->2026-10-01T02:42:42-04:00
  45. ~
    #1118223 2026-10-01 18:47 UTC
    Modified
    • source_updated_at
      2026-10-01T02:42:42-04:00->2026-10-01T14:42:54-04:00
  46. ~
    #1129633 2026-10-02 07:06 UTC
    Modified
    • source_updated_at
      2026-10-01T14:42:54-04:00->2026-10-02T02:42:40-04:00
  47. ~
    #1140531 2026-10-02 19:24 UTC
    Modified
    • source_updated_at
      2026-10-02T02:42:40-04:00->2026-10-02T14:43:41-04:00
  48. ~
    #1159786 2026-10-03 19:33 UTC
    Modified
    • source_updated_at
      2026-10-02T14:43:41-04:00->2026-10-03T14:41:48-04:00
  49. ~
    #1167553 2026-10-04 07:47 UTC
    Modified
    • source_updated_at
      2026-10-03T14:41:48-04:00->2026-10-04T02:42:06-04:00
  50. ~
    #1174036 2026-10-04 19:55 UTC
    Modified
    • source_updated_at
      2026-10-04T02:42:06-04:00->2026-10-04T14:41:38-04:00
  51. ~
    #1180244 2026-10-05 08:04 UTC
    Modified
    • source_updated_at
      2026-10-04T14:41:38-04:00->2026-10-05T02:42:15-04:00
  52. ~
    #1192160 2026-10-05 22:42 UTC
    Modified
    • source_updated_at
      2026-10-05T02:42:15-04:00->2026-10-05T14:43:35-04:00
  53. ~
    #1204102 2026-10-06 10:23 UTC
    Modified
    • source_updated_at
      2026-10-05T14:43:35-04:00->2026-10-06T02:42:41-04:00
  54. ~
    #1220357 2026-10-06 22:40 UTC
    Modified
    • source_updated_at
      2026-10-06T02:42:41-04:00->2026-10-06T14:44:44-04:00
  55. ~
    #1230137 2026-10-07 10:41 UTC
    Modified
    • source_updated_at
      2026-10-06T14:44:44-04:00->2026-10-07T02:42:30-04:00
  56. o
    #1238348 2026-10-07 18:46 UTC
    Not seen
    Miss 1 in a row
  57. o
    #1242205 2026-10-07 22:46 UTC
    Not seen
    Miss 2 in a row
  58. o
    #1245870 2026-10-08 02:47 UTC
    Not seen
    Miss 3 in a row
  59. x
    #1245871 2026-10-08 02:47 UTC
    Closed
  60. ^
    #1278744 2026-10-09 16:24 UTC
    Reopened
  61. ~
    #1278745 2026-10-09 16:24 UTC
    Modified
    • Title
      Safety Threat Investigator, Safety Investigations->Senior Threat Intelligence Analyst, Safety Intelligence
    • Description
      Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital...->Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital...
    • Locations
      San Mateo, CA, United States, Washington, District of Columbia, United States->San Mateo, CA, United States
    • source_updated_at
      2026-10-07T02:42:30-04:00->2026-10-09T11:34:16-04:00