Lead Paid Search Strategist

Atlassian•San Francisco, CA

1d•$116,100 - $182,125•Remote

About The Position

Atlassian is seeking a senior individual contributor to lead its global Paid Search program across products including Jira, Confluence, Trello, and Loom. The role owns channel vision, technical governance, and portfolio performance, with no direct reports. The position defines global brand and non-brand strategies and advances bidding, attribution, and measurement systems. The role includes governing search strategy and optimization, scaling in-house automation and bidding approaches, and directing agency partners on execution and quality assurance. It partners with Data Science and other teams on experimentation, measurement, forecasting, privacy-resilient tracking, and alignment between search activity and product roadmaps. It also adapts strategy to evolving search experiences and communicates performance insights to executive leadership. Atlassian allows employees to work from an office, from home, or in a combination of both. Hiring is available in countries where Atlassian has a legal entity. The role may be eligible for benefits, bonuses, commissions, and equity. U.S. base pay ranges vary by geographic zone: Zone A $139,500–$182,125; Zone B $126,000–$164,500; Zone C $116,100–$151,575.

Requirements

At least 8 years of Paid Search (SEM/PPC) experience in high-growth B2B SaaS or enterprise technology environments.
Proven ability to autonomously manage and forecast multi-million-dollar annual search budgets at enterprise scale.
Ability to define requirements and direct technical implementation and quality assurance for Conversion APIs, offline conversion pipelines, custom attribution models, and value-based bidding architectures; custom coding is not required.
Expertise in causal experimentation, including geo-lift and holdouts, and attribution modeling such as MMM.
Experience tracking customer journeys across product-led growth and enterprise sales-assisted funnels.
Experience directing media agencies and communicating performance narratives, trade-offs, and business cases to senior or executive leadership.

Nice To Haves

Working knowledge of SQL, BigQuery, Google Ads Scripts, or enterprise BI dashboards such as Tableau or Looker.
Hands-on familiarity with international search expansion and multilingual campaign governance.

Responsibilities

Own and govern global paid search strategies, analysis, optimization, and best practices.
Drive in-house search automation and bidding strategy, including custom bid algorithms, value-based bidding, and automated campaign formats.
Direct agency partners on tactical search execution, campaign builds, daily pacing, and quality assurance across regional and product accounts.
Partner with Data Science on causal lift experiments, incrementality, attribution, and incorporation of search data into enterprise MMM, MTA, and customer lifetime value models.
Lead search forecasting and budget reallocations across product lines to improve efficiency and capture high-intent demand.
Evolve paid search strategy for AI Overviews, changing search engine results pages, and conversational answer engines such as ChatGPT and Perplexity.
Collaborate with the Ad Ops lead on data resilience requirements, first-party data capture, and server-side tracking architectures in response to changing privacy standards.
Monitor auction insights, define brand defense strategies, and deploy automated counter-conquesting logic against competitors.
Direct ad copy experimentation, asset group strategy for AI-driven formats, and message alignment from search query to landing page.
Communicate search performance insights to executive leadership and collaborate with Product Marketing and Web teams to align search capture with product roadmaps.