Summary written by USA Jobs 24 from Atlassian's advert and our data on 16,857 current US jobs. How we check every job
At a glance
Atlassian is hiring a Head of Sourcing - Cloud and AI in San Francisco, CA; Seattle, WA. It is a full-time role in Data, AI & Analytics, first listed on November 13. The description mentions AWS, Google Cloud and Azure. Atlassian has 99 other openings in the US, 66 of them in San Francisco, CA. Across all employers on USA Jobs 24 there are 412 Data & AI openings in San Francisco, CA today; the typical one asks for 5 years and advertises about $235,000 a year at the midpoint.
How the pay compares
Atlassian has not published pay for this job, or we could not find it in the advert. Of the 792 data & AI jobs in California on USA Jobs 24, 74% show pay, and the typical yearly midpoint among them is $228,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,783 data & AI jobs we list today. AWS is the most widely requested (18% of jobs), while Google Cloud is the least common (9%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Atlassian's Atlassian Careers site on November 13 and checked it again November 13, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in San Francisco, CA (or one of 1 other locations). If you would need to move, ask whether relocation help is offered.
- Tailor your resume. Use the advert's own words, such as AWS, Google Cloud and Azure, wherever they are true for you. Our resume guide shows how.
- Apply only through Atlassian's own site. Our Apply button goes straight to Atlassian's Atlassian Careers page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Atlassian
Atlassian has 100 openings on USA Jobs 24 today across 5 states. Most are in software & IT (31), data & AI (26) and sales & BD (17). The biggest locations are San Francisco, CA (67), Seattle, WA (39) and New York, NY (18). 88% of them are remote, 18% are open to entry-level candidates and 14% show pay. We collect Atlassian's jobs every day straight from its own careers system (Atlassian Careers), never from job boards or agencies.
The employer's advert
This is Atlassian's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from AtlassianHide the advert968 words
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
This role leads Atlassian's Cloud and AI sourcing pillar as a people leader reporting to the Director, Head of Global Strategic Sourcing. The Head of Sourcing - Cloud and AI sets the category direction and is accountable for outcomes across the hyperscaler and AI portfolios, directly with people management responsibilities. The role develops their capability, guides negotiation strategy and deal governance, steps into the most consequential negotiations and escalations, and partners with Engineering, Finance, Legal, Security, Risk, and FinOps. It contributes to broader Technology Sourcing strategy as the leader of the Cloud and AI team.
People Leadership & Influence
Own the Cloud & AI category strategy, priorities, annual roadmap, and team outcomes, aligned to engineering and financial objectives and the broader Global Strategic Sourcing direction.
Directly manage two specialists: one responsible for the hyperscaler portfolio and one responsible for AI sourcing. Establish clear ownership, goals, decision rights, and a collaborative operating cadence across both domains.
Hire and onboard as needed; conduct regular 1:1s, set goals, coach negotiation and stakeholder skills, provide feedback, support career development, and manage performance for both direct reports.
Lead through influence across departments, shaping high-complexity sourcing decisions affecting architecture, cost, resilience, and commercial flexibility.
Raise craft standards through playbooks, negotiation frameworks, market intelligence, and practical guidance on cloud commercial architectures, AI pricing, and category management.
Lead deal governance for major Cloud & AI transactions: review specialist-led negotiation plans, approval gates, risk trade-offs, and executive escalations; step in directly on pivotal deals.
Embed AI and automation into team workflows such as spend analytics, benchmarking, intake, and contract review to reduce cycle time and manual effort.
Own and report team and category outcomes, including savings, cost avoidance, cycle time, stakeholder satisfaction, compliance, contract effectiveness, and specialist development, to the Director, Head of Global Strategic Sourcing and senior stakeholders.
Drive continuous improvement in procurement policy, security, data privacy, and regulatory adherence for Cloud & AI sourcing.
Represent Procurement as a trusted commercial advisor on Cloud & AI in senior forums, bringing market, cost, contract, and team perspectives to enterprise decisions.
Deal Leadership: Cloud & AI
The Head of Sourcing - Cloud and AI sets negotiation strategy and governance for the team, coaches the hyperscaler and AI specialists as day-to-day deal owners, and personally leads or joins the most material, high-risk negotiations and executive escalations when needed.
Enterprise hyperscaler agreements: Guide the hyperscaler specialist’s negotiations across AWS (EDP/PPA), Google Cloud commitments, and/or Microsoft Azure (MACC), including cloud marketplace terms and co-sell/partner credits; lead executive-level negotiations when warranted.
Commitment structuring: Review and approve the team's approach to term length, ramp milestones, committed-use and reserved-capacity structures, savings plans, burst and flex clauses, and shortfall protection.
Frontier AI and inference agreements: Guide the AI specialist on model-provider contracts covering token and throughput pricing, provisioned concurrency, rate limits, deprecation notice periods, data usage, and IP indemnities.
Compute and GPU capacity: Oversee sourcing for dedicated GPU and accelerator availability across hyperscalers and specialist neocloud providers, balancing price, region locality, and vendor lock-in risk.
Contractual risk ownership: Partner with Legal and Security to review team proposals on SLAs, penalty credits, liability limits, data residency and sovereignty, audit rights, and exit and portability terms.
TCO and competitive leverage: Coach the team in deal strategies grounded in consumption telemetry, multi-cloud pricing benchmarks, and architecture-driven competitive tension.
Supplier executive governance: Lead executive relationships, business reviews, joint roadmaps, and escalations for the most material Cloud & AI suppliers, while specialists manage day-to-day vendor engagement.
Category Strategy, FinOps & Stakeholder Partnership
End-to-end category strategy: Balance cost, delivery speed, system resilience, and architectural flexibility across Cloud & AI spend.
FinOps alignment: Collaborate with FinOps, Platform Engineering, and Finance to forecast consumption, manage commit burn rates, and track contract utilization.
Cost optimization: Drive structural savings through rightsizing, commitment coverage, workload placement, intelligent model routing, and vendor rationalization.
Unit economics and transparency: Build granular spend visibility so product and engineering teams understand cloud and model inference unit costs.
Executive advisory: Serve as a commercial advisor VP+ engineering and finance leaders on build-versus-buy decisions and vendor selection.
Market intelligence: Monitor cloud and AI industry trends, hardware roadmaps, and pricing adjustments to identify commercial opportunities early and inform category direction.
Qualifications
Benefits & Perks
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.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
USA Jobs 24 copied this listing from Atlassian's official careers site on November 13, 2026 and checked it again November 13, 5:17 AM ET. Atlassian will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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