Head of Singapore, Applied AI

Anthropic Limited

Singapore

Híbrido

SGD 220.000 - 340.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Anthropic Limited is seeking a founding leader for Applied AI Solutions Architecture in Singapore. You will build and lead a team of Solutions Architects, Product Engineers, and Finetuning Engineers, driving frontier AI adoption across ANZ enterprises and digital-first organizations.

You will oversee pre-sales engagements, set team goals, and collaborate with global and local teams to deliver high-impact AI deployments while upholding Anthropic's safety standards.

Formación

  • 15+ years as a Solutions Architect, Sales Engineer, or similar pre-sales role.
  • 5+ years of technical go-to-market management, specifically managing pre-sales teams.
  • Experience with Singapore enterprise customers and regional dynamics (Australia & New Zealand).
  • Familiarity with regulatory landscape impacting enterprise AI deployments.
  • Experience with enterprise AI deployments, API integrations, and production LLM use cases.

Responsabilidades

  • Build and lead the Singapore Applied AI team (Solutions Architects and Product Engineers).
  • Set goals and reviews for the team, promoting growth and output.
  • Lead pre-sales engagements including use case scoping, POC execution, and ROI validation.
  • Collaborate with GTM leadership to drive Singapore enterprise adoption.
  • Represent Anthropic as a technical lead in partnerships across ANZ.
  • Drive cross-functional alignment to achieve business outcomes.

Conocimientos

Solutions Architect
Sales Engineer
Pre-sales leadership
Enterprise AI

Educación

Bachelor's degree

Herramientas

APIs
LLM deployments

Descripción del empleo

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 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

As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic’s products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital‑first organizations. You’ll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers’ business needs, meets their technical requirements, and provides a high degree of reliability and safety.

You’ll be responsible for building and leading the Singapore Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region’s technical pre‑sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand.

In collaboration with the Sales, Product, and Engineering teams globally and locally, you’ll help enterprise partners across Singapore incorporate leading‑edge AI systems into their cutting‑edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non‑technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best‑in‑class safety standards.

Responsibilities
  • Build and manage the foundational team of Applied AI professionals in Singapore (Solutions Architects and Product Engineers) providing both technical guidance and career development
  • Set goals and reviews for your team, promoting growth and output
  • Work with a handful of highest‑value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre‑sales technical excellence including use case scoping, technical champion building, and POC execution
  • Partner closely with your aligned GTM leadership to understand customer requirements & co‑build GTM strategies to drive adoption for Singapore enterprise customers
  • Contribute to thought leadership through conference presentations, webinars, and technical content creation within the Singapore market
  • Own the technical portions of pre‑sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
  • Drive collaboration from cross‑functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
  • Travel regularly to customer sites across Australia and New Zealand for executive‑level sessions, technical workshops, and building relationships
  • Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
  • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities
  • Stay current with emerging AI/ML trends and competitive landscape in the Singapore enterprise tech sector, including the region’s highly regulated industries (financial services, government, resources)
You may be a good fit if you have
  • 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre‑sales technical role
  • 5+ years of technical go‑to‑market management experience, specifically managing pre‑sales teams
  • Experience working with Singapore enterprise customers and understanding local business culture, procurement processes, and decision‑making dynamics across Australia and New Zealand
  • Familiarity with the Singapore regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
  • Experience with the unique technical requirements and technical procurement process of enterprise tech companies
  • Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
  • Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
  • Have excellent communication, collaboration, and coaching abilities
  • Are comfortable dealing with highly uncertain, ambiguous, and fast‑moving environments typical of the tech industry
  • Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
  • Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
  • Experience with prompt engineering, LLM evaluation, and architecting AI‑powered systems
  • Make ambiguous problems clear and identify core principles that can translate across scenarios
  • Have a passion for making powerful technology safe and societally beneficial
  • Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
  • Stay up‑to‑date and informed by taking an active interest in emerging research and industry trends
  • Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
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.comemail 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.

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