Lead Paid Search Strategist

Responsibilities

• Own and govern global paid search strategies, analysis, optimization, and best practices.
• Drive in-house search automation and bidding strategy: scaling custom bid algorithms, value-based bidding, and next-generation automated campaign formats.
• Direct agency partners on tactical search execution, campaign buildouts, day-to-day pacing, and strict quality assurance standards across all regional and product accounts.
• Partner with Data Science to execute causal lift experiments (incrementality and attribution) and embed search data into enterprise MMM, MTA, and customer lifetime value models.
• Lead search forecasting and budget reallocations across product lines to maximize efficiency and capture high-intent demand.
• Evolve paid search strategies for AI Overviews, shifting SERP layouts, and conversational answer engines like ChatGPT and Perplexity to defend and expand high-intent nonbrand real estate.
• Collaborate with Ad Ops lead to define data resilience requirements, aligning first-party data capture and server-side tracking architectures under shifting privacy standards.
• Monitor auction insights, define aggressive brand defense strategies, and deploy automated counter-conquesting logic against market competitors.
• Direct ad copy experimentation, asset group strategy for AI-driven formats, and end-to-end message alignment from search query to landing page.
• Communicate search performance insights to executive leadership and collaborate with Product Marketing (PMM) and Web teams to align search capture with product roadmaps.

Requirements

• Experience: 8+ years of Paid Search (SEM/PPC) experience in high-growth B2B SaaS or enterprise technology environments.
• Budget Authority: Proven track record of autonomously managing and forecasting multi-million-dollar annual search budgets at enterprise scale.
• Technical Direction: Demonstrated ability to define requirements and direct technical implementation/QA for Conversion APIs, offline conversion pipelines, custom attribution models, and value-based bidding architectures (without needing to write custom code yourself).
• Measurement & Experimentation: Expertise in causal experimentation (geo-lift, holdouts), attribution modeling (MMM), and tracking customer journeys across product-led Growth (PLG) and enterprise sales-assisted funnels.
• Agency & Stakeholder Leadership: Experience directing media agencies and effectively communicating performance narratives, trade-offs, and business cases to senior/executive leadership.

Preferred

• Working knowledge of SQL, BigQuery, Google Apps Scripts, or enterprise BI dashboards (Tableau, Looker).
• Hands-on familiarity with international search expansion and multi-lingual campaign governance.

Benefits

• Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
• Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .