Atlassian
Senior Product Marketing Manager - Teamwork Graph Adoption
$129K–$203K
Remote, Americas +6 · Manager · Full-time · Posted Oct 28, 2026
- Location
- Remote, Americas
San Francisco, United States
Austin, United States
New York, United States
Washington DC, United States
Seattle, United States
Salt Lake City, United States - Experience
- 6+ years of product marketing experience in B2B SaaS, focused on platform, data, developer, or infrastructure products.
About the job
Leads positioning, go-to-market strategy, and adoption programs to increase customer activation and ongoing use of Atlassian’s Teamwork Graph platform capabilities.
What you'll do
- Own adoption strategy, positioning, go-to-market motions, and programs that improve onboarding, activation, and platform usage.
- Translate platform, data, and AI concepts into value propositions and adoption content for technical and business audiences.
- Partner across Product, Engineering, Growth, and Field teams to reduce onboarding friction, enable adoption, and measure program impact.
What they ask for
- 6+ years of product marketing experience in B2B SaaS focused on platform, data, developer, or infrastructure products.
- Demonstrated success developing positioning, go-to-market strategies, and adoption programs that measurably increase activation and usage.
- Ability to market to technical audiences and business stakeholders, with fluency in data concepts, APIs, and modern developer workflows.
- Strong storytelling and communication skills, cross-functional collaboration, and analytical ability to measure impact.
Nice to have
- Experience with developer marketing, developer relations, or product-led growth (PLG).
- Exposure to graph technologies, data platforms, semantic layers, enterprise AI/agentic ecosystems, or the Atlassian product suite; MBA or other relevant degree or certification.
Pay
$155,700 - $203,275 USD base salary; $140,130 - $182,948 USD base salary; $129,231 - $168,718 USD base salary
Tools
Teamwork Graph, APIs
AI focus
Markets platform data and context capabilities that support AI usefulness in complex enterprise environments; translates platform, data, and AI concepts for technical and business audiences.
Model-written summary · the original posting is authoritative