Anthropic Logo

Anthropic

Amazon GTM Partnership, Startups

Reposted 6 Hours Ago
In-Office
New York, NY, USA
265K-365K Annually
Senior level
In-Office
New York, NY, USA
265K-365K Annually
Senior level
Drive startup partnerships through Amazon/AWS, develop GTM strategies, forecast revenue, maintain executive relationships, and execute joint marketing initiatives.
The summary above was generated by AI
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

Anthropic is seeking a candidate to drive our startup partnerships through Amazon/AWS. You'll own this key relationship, generate revenue opportunities, and work with senior leadership across both organizations to accelerate Anthropic's AI adoption for startups through AWS's global ecosystem.

In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships.

Key responsibilities
  • Develop and execute a GTM strategy for Anthropic's startup ecosystem initiatives through the Amazon/AWS partnership, including co-selling motions, enablement programs, and joint business plans
  • Build and own forecasting, pipeline development, and revenue targets for the partnership
  • Cultivate and maintain executive-level relationships across the AWS organization
  • Drive strategic planning and execution of joint marketing and sales initiatives
  • Design and implement scalable processes for partnership operations, including escalation management and performance reporting
  • Provide market intelligence and competitive insights to inform product and business strategy
  • Develop and execute segment-specific sales plays and enablement programs for startup audiences
  • Participate in annual business reviews with key stakeholders across both organizations
  • Identify and develop opportunities to expand the scope and impact of the partnership over time
Minimum qualifications
  • Experience in enterprise sales, business development, or strategic partnerships, with a focus on the startup ecosystem
  • Demonstrated ability to build and execute co-selling or joint GTM strategies with a major cloud or technology partner
  • Track record of building and maintaining executive-level relationships and influencing senior stakeholders
  • Strong command of strategic planning, business operations, and program management
  • Ability to translate complex technical capabilities into clear business value for a range of audiences
  • Comfort balancing long-term strategic thinking with near-term tactical execution
  • 25% travel is required
Preferred qualifications
  • 8+ years of enterprise sales or business development experience
  • Prior experience working directly with Amazon/AWS partnership programs
  • Background in AI/ML technologies or enterprise software
  • Experience scaling partnerships in emerging or fast-moving technology markets
  • Track record of building enterprise GTM strategies in a zero-to-one or foundational capacity

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$265,000$365,000 USD
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.

Similar Jobs

An Hour Ago
In-Office
New York, NY, USA
165K-242K Annually
Senior level
165K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate high-performance multi-tenant distributed file and block storage. Implement control-plane services (provisioning, tenancy, quota, snapshots), improve NFS data path and CSI driver features, enhance reliability and observability, debug production issues, and collaborate with compute, platform, and infrastructure teams.
Top Skills: BeegfsC++Ceph/RbdClickhouseCockroachdbCsiDaosGoGpfsGpudirect StorageGrafanaGrpcInfinibandKubernetesLustreNfsPosixPrometheusProtobufRdmaRoceRustSpdkTemporalWeka
An Hour Ago
In-Office
New York, NY, USA
188K-275K Annually
Expert/Leader
188K-275K Annually
Expert/Leader
Cloud • Information Technology • Machine Learning
Lead design and delivery of multi-tenant, high-performance file and block storage systems for AI workloads. Own architecture from data path to control plane, optimize IO patterns, integrate RDMA/GPU Direct/SPDK, ship Kubernetes-native storage (CSI, controllers, CRDs), and drive reliability, observability, and mentoring across the storage stack.
Top Skills: C++CephControllersCrdCsiDashboardsDistributed FilesystemsGoGpu Direct StorageInfinibandKubernetesLustreMetricsNfsOperatorsRdmaRoceRustS3SpdkTelemetry
An Hour Ago
In-Office
New York, NY, USA
153K-224K Annually
Senior level
153K-224K Annually
Senior level
Cloud • Information Technology • Machine Learning
Build and improve CoreWeave's multi-tenant file and block storage: control plane services in Go, NFS file data path, CSI driver features, telemetry/observability, and production debugging for distributed, high-performance systems. Collaborate cross-functionally with compute, platform, and infrastructure teams.
Top Skills: C++ClickhouseCockroachdbCsiGoGrafanaKubernetesNfsPosixPrometheusRocksdbRust

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account