PagerDuty

PagerDuty

Senior Internal Communications Manager - Go To Market (GTM)

San Francisco · Senior

Sponsorship not specified$114k-$191kDetected 43 days ago
LLMsAgentic AIAccessibilityProject ManagementSalesforceCustomer SuccessLeadershipCommunicationPublic Speaking

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations.
  • The base salary range for this position is 114,000 - 191,400 USD.
  • Our base salary ranges are determined by role, level, and location.

Responsibilities

  • The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises.
  • With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations.

Requirements

  • Bachelor's or Master's degree in Business, Marketing, Communications, or equivalent experience.
  • 7+ years in communications, spanning internal, external, executive, or enablement communications.
  • Track record launching and managing communication plans/campaigns, with metrics-driven iteration.
  • Experience partnering with GTM or executive leaders on positioning and change management.
  • Exceptional writing and editing skills, with the ability to think strategically and creatively across matrixed content (multiple personas, industries, products).

Nice to have

  • Hands-on experience with generative AI tools (e.g., Claude, Gemini) to accelerate content creation.
  • Experience managing a communications calendar and distribution lists across groups.
  • Comfort operating in a fast-paced, agile, results-oriented environment.
  • Program and project management fundamentals.
  • Familiarity with Zoom Webinars, Google Apps or Microsoft Suite, Slack, and email tools.
  • Hesitant to apply?
  • We encourage you to submit your resume even if you don't meet every requirement.
  • We value potential and consider each candidate's full professional story.

Compensation

  • The base salary range for this position is 114,000 - 191,400 USD.
  • Our base salary ranges are determined by role, level, and location.
  • Competitive salary

Benefits

  • As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations.
  • Learn more, including country-specific offerings, on our benefits site.
  • Comprehensive benefits package
  • Flexible work arrangements
  • Company equity*
  • ESPP (Employee Stock Purchase Program)*
  • Retirement or pension plan*
  • Generous paid vacation time
  • Paid holidays and sick leave
  • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
  • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
  • Paid volunteer time off: 20 hours per year

Company info

  • Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more.
  • What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations.

Equal opportunity

  • PagerDuty is an equal opportunity employer.
  • Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.

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