Head of Asset & Wealth Management, GTM Sales
Anthropic
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.
As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals within the Asset & Wealth Management industry. You'll leverage your leadership and consultative sales expertise within AWM to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help customers embed and deploy AI while uncovering its full range of capabilities in portfolio management, client advisory, research, and operations. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with AWM decision-makers and ensure differentiated value across the Asset & Wealth Management landscape.
The ideal candidate will have a passion for developing people, identifying market opportunities within Asset & Wealth Management, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help AWM institutions obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
- Build and lead a high-performing team of Enterprise Account Executives focused on Asset & Wealth Management, providing coaching, mentorship, and guidance to drive team success
- Develop and implement sales strategies tailored to AWM procurement cycles and budgeting processes to meet and exceed team revenue quotas
- Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
- Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on AWM buying cycles and decision-making processes
- Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for wealth management and investment applications
- Enable your team to have credible technical conversations about AI applications in Asset & Wealth Management while maintaining appropriate guardrails
- Build strong partnerships across the organization to drive strategic initiatives within the AWM sector
- Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within portfolio management, research, client advisory, and operational functions
- Help your team navigate complex AWM stakeholder ecosystems including CIOs, CTOs, portfolio managers, research heads, compliance officers, and procurement offices to build consensus
- Gather and synthesize customer feedback from AWM users to inform product direction and enhance customer experience
- Build and continuously refine the AWM sales methodology by incorporating learnings into playbooks and best practices
You may be a good fit if you have:
- 15+ years of enterprise sales experience in Asset & Wealth Management technology, preferably driving adoption of SaaS or emerging technologies
- 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on AWM
- Proven track record of building and leading high-performing sales teams selling into asset managers, wealth managers, private banks, and family offices, with demonstrated success in coaching and developing AEs
- Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving AWM
- Strong technical acumen and ability to understand complex AI solutions and their applications in portfolio management, research, and client advisory, with experience enabling teams to have credible technical conversations with AWM stakeholders
- Track record of successful partnership with technical teams throughout the customer journey within financial institutions
- Deep understanding of AWM buying cycles, procurement frameworks, and key pain points across hedge funds, asset managers, wealth managers, and private banks
- Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
- Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals
- Strong operational rigor in pipeline management, forecasting, and sales metrics specific to AWM sales cycles
- Excellent communication skills and ability to build relationships across all levels, from analysts and portfolio managers to CIOs and senior executives in AWM
- Strategic approach to market analysis combined with tactical excellence in execution
- Passion for AI technology and commitment to its safe, responsible development for financial use cases
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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. 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