Partnerships Lead - ANZ

Reposted 16 Hours Ago
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Sydney, New South Wales, AUS
In-Office
Expert/Leader
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
Lead the buildout and scaling of Anthropic's consulting and AI-native boutique partner ecosystem in Australia and New Zealand. Own partner strategy, KPIs, revenue outcomes, joint GTM, partner training/certification, and region-specific market development while ensuring regulatory/data-sovereignty compliance and long-term customer success.
Summary Generated by Built In
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

This is a critical leadership role responsible for building and scaling Anthropic's consulting partner ecosystem and AI-native boutique partners across Australia and New Zealand (ANZ) region. You will own the strategic roadmap, investment prioritization, development plans, and revenue accountability for a portfolio of partnerships that will collectively become critical drivers of Anthropic's enterprise growth. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones.

Key responsibilities
  • Partnership development and execution: 
    • You will treat each partner as a structured sales pursuit with detailed stakeholder mapping, account plans, and targeted engagement strategies. 
    • You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services.
  • Performance and KPI ownership:
    • Own and drive key performance indicators: partner-sourced pipeline, partner-influenced revenue, consultants trained and certified, joint proposals submitted
    • Establish clear success metrics with each partner and drive regular business reviews against targets
    • Report on partnership health, progress, and commercial outcomes with data-driven insights
    • Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement. 
  • Market Development & Brand Building
    • Amplify the Anthropic brand across ANZ through strategic partner relationships
    • Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances
    • Navigate regional regulatory, compliance, and data sovereignty considerations
    • Create competitive differentiation through unique partner capabilities and joint value propositions
Minimum qualifications
  • 15+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses
  • Demonstrated track record of building and scaling enterprise technology partnerships from zero to meaningful, repeatable revenue
  • Experience driving partner-sourced and partner-influenced pipeline through consulting, systems integrator, or platform partners
  • Hands-on proficiency with CRM and pipeline management tools (e.g., Salesforce) and with building account plans, stakeholder maps, and partner business reviews
  • Ability to work cross-functionally across sales, product, marketing, and regional teams
  • Based in, and authorized to work in, the ANZ region
Preferred qualifications
  • Deep existing relationships at VP+ level within target partners
  • Track record of driving incremental revenue through partnerships specifically in ANZ
  • History of delivering exceptional customer success and brand protection through partner channels
  • Strong data-driven orientation toward measurable outcomes and KPI attainment
  • A builder mentality, comfortable starting from zero; a competitive drive obsessed with winning and differentiation; and a passion for AI aligned with Anthropic's mission of beneficial AI development
Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Skills Required

  • Builder mentality — proven experience creating and scaling partnerships from zero
  • 15+ years of experience in enterprise technology partnerships (cloud, AI/ML, or platform businesses)
  • Deep existing relationships at VP+ level within target partners in ANZ
  • Data-driven mindset with track record of driving incremental revenues through partnerships in ANZ
  • History of delivering exceptional customer success and brand protection through partner channels
  • Ability to create repeatable customer solutions and joint value propositions across industries
  • Collaborative approach; ability to work cross-functionally across sales, product, marketing, and regional teams
  • Competitive drive and obsession with winning and creating differentiation
  • Passion for AI and alignment with Anthropic's mission of beneficial AI development
  • Bachelor's degree or equivalent combination of education, training, and/or experience

Anthropic Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.

  • Strong & Reliable Incentives Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
  • Healthcare Strength Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
  • Parental & Family Support Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.

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The Company
HQ: San Francisco, California
2,500 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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