US Job AtlasSearch jobs
Menu — navigation
← Choose another opportunity

Opportunity Intelligence · Evidence at a glance

Product Operations Manager

Datadog · On-site · Operations

Analysis calculated Oct 15, 2026, 8:20 PM UTC. Records can change after this page loads.

Opportunity reality

Fresh

The record was verified within the past 24 hours.

Why we're showing this

Stored status: Active. Known expiry: Not available. The rule also considers verification recency and first detection.

Freshness

Recently verified

First detected by US Job Atlas
Oct 15, 2026, 5:05 PM UTC
Last verified
Oct 15, 2026, 5:05 PM UTC
Why we're showing this

Based on stored first_seen_at and last_verified_at timestamps. First detected is not necessarily the employer's posting date.

Apply timing

Strong timing

First detected within 7 days, verified within 24 hours, and the source has a recent successful sync.

Why we're showing this

Source activity: Recent successful sync. A strong timing label uses a 7-day detection window and verification within 24 hours. This is not a hiring probability.

Source trail

Where this opportunity came from.

  1. First detectedOct 15, 2026, 5:05 PM UTC
  2. Last verifiedOct 15, 2026, 5:05 PM UTC
  3. Current recordActive
Primary source
Greenhouse
Provider last successful sync
Oct 15, 2026, 8:05 PM UTC
Original posting
Open original source ↗
Employer board reference supplied by source
datadog
Provider posting date
Oct 15, 2026, 2:43 PM UTC
Known expiration
Not available
Why we're showing this

These milestones come from stored timestamps, not a reconstructed event history. Verification of the canonical record and each source's last observation are separate facts.

Greenhouse

Source status: Active · First detected: Oct 15, 2026, 5:05 PM UTC · Last observed: Oct 15, 2026, 5:05 PM UTC

View this source ↗

Multi-source evidence

Limited source evidence

1 linked providers · 1 with an active source record · 1 active and observed within 72 hours.

0 providers with recorded closure and no active record in this read.

Repost: insufficient evidence. Multiple linked providers do not prove that an employer reposted this role.

Why we're showing this

Providers are counted once from existing links to this canonical job. Recently observed means an active source record, no recorded closure, and a non-future last observation within 72 hours. It is not a fresh URL check or a guarantee of availability. Historical sources remain visible; unknown and contradictory records are not promoted to recent evidence. No duplicate matching or merging is performed.

Location clarity

On-site

  • New York, NY, US · physical
Why we're showing this

Locations are read from the canonical location records. Remote status alone does not establish where you are eligible to work. Check the source's authorization and residency requirements.

Salary transparency

Not disclosed

Not disclosed in the available structured record

Employment type: Not supplied

Why we're showing this

Only non-estimated structured salary values are shown. Missing salary or employment data is not inferred.

Your fit · Source evidence

Requirements worth reading closely.

Deterministic extraction finds explicit mentions and preserves source wording. Mentions, including negative or optional statements, are not automatically mandatory requirements. Review the complete description.

Experience mention

Minimum Qualifications • 4+ years of experience in product operations, program management, or a related relevant experience • Experience collaborating across multiple departments (Product, Engineering, Marketing, Sales, etc.) and aligning stakeholders with different priorities toward shared outcomes. • Experience communicating with and presenting to senior leadership at the Director+ level, both in writing and live settings. • Hands-on experience with product management and engineering tools (Jira, Confluence, GitHub, or similar), with a willingness to build and improve tooling as needs evolve.
Read in the job description →

Preferred skills

• 2+ years of software engineering, technical product management, or other relevant technical experience. • Experience with GitHub for CI/CD, documentation workflows, or collaboration with engineering teams. • Proficiency in programming languages or SQL for data analysis, automation, or scripting • Experience building or deploying AI agents or automated workflows using frameworks • Professional use of AI tools such as Claude, ChatGPT, or Cursor, including prompt engineering and integrating AI into day-to-day workflows.
Read in the job description →
Why we're showing this

Only source sentences matching defined skill, qualification, experience, education, license, clearance, authorization, or location phrases are included. Coverage is incomplete; missing excerpts are not proof that a requirement does not exist.

Optional · Browser-only comparison

Your fit, without a fake score.

Application effort

Effort level unavailable

Applications continue on an external employer or provider website. The number of steps, fields, and completion time have not been verified.

No explicit cover letter, portfolio, assessment, account creation, or questionnaire mention was extracted.

Why we're showing this

Provider: Greenhouse. A known ATS does not establish how long this particular application will take. Excerpts are mentions, not a validated application checklist.

Next best move

Optimize first

Review the source requirements and compare your resume evidence before applying.

Why we're showing this: The record was verified within the past 24 hours. Resume overlap is a text comparison and does not confirm mandatory eligibility. Verify location, authorization, licenses, and clearance yourself before proceeding.

Review and apply at the source ↗

We do not recommend skipping an opportunity solely because it is old or because your resume omits a term.

Keep your options open

Similar verified opportunities

Related active listings from current inventory; ordered using the existing category, title, workplace, and location matching.

Evidence, not a prediction.

This analysis reflects the records available when loaded. It cannot establish employer intent, guarantee availability, or predict an application outcome.

Read the full methodology →