Sr. Manager, Performance Marketing - Lifecycle

Company: Atlassian

Location: San Francisco, CA (Remote)

Salary: $145.8k - $229.1k per year

Type: Full-time

Level: Senior

Remote: Yes

Posted: 2026-02-05

About this role

Overview
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.


Responsibilities
What You’ll Do

  • Own the strategy for converting large and medium size flywheel customers into long-term Enterprise relationships
  • Manage a team who develops lifecycle programs that includes light sales touch at at key moments plus higher-touch demand gen campaigns (buying team nurtures, content syndication, webinars, ABM-style outreach) to match customer need while the grow with Atlassian and move through their buyer journey
  • Design and optimize PLG and lifecycle journeys across Jira, Confluence, Loom, and JSM—from free → paid to expansion (upsell, cross-sell, seat expansion)
  • Build tight partnership with scaled and Enterprise sales: define PQL criteria, routing, and SLAs; jointly own pipeline and incremental ACV goals
  • Use data, experimentation, and dashboards to prioritize investments and prove business impact
  • Lead and grow a high-performing team and collaborate with Product Marketing, Growth, Sales, Marketing Ops, and Data Science

Your Background

  • 12+ years in B2B SaaS marketing; 7+ years in PLG/self-serve and lifecycle marketing
  • Proven ownership of self-serve funnels from sign-up through activation and expansion across multiple products
  • Hands-on lifecycle programs that drive expand motions (upsell, cross-sell, seat expansion) as well as traditional demand gen experience (lead generation through driving TOFU, MOFU & BOFU nurtures and programming)
  • Significant experience partnering with Growth, Sales and Operations to turn PQLs into opportunities and revenue with clear SLAs and routing
  • Strong analytical and experimentation mindset; comfortable with cohorts, A/B tests, hold outs attribution, and incremental ...

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