Enterprise Sales Manager, Digital Native Business
Apply at source. Anthropic handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.
What the team is looking for.
As a Sales Manager at Anthropic, you'll lead a team of Account Executives driving the adoption of safe, frontier AI among digital-native businesses. You'll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs focused on technology companies, SaaS platforms, and other digitally mature organisations.
Working closely with Applied AI Engineering and Product teams, you'll help DNB customers integrate and deploy AI while unlocking its full range of capabilities across their products, platforms, and operations. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with technical leaders and ensure differentiated value across the DNB landscape.
Responsibilities
- Build and lead a high-performing team of Account Executives focused on digital-native businesses, providing coaching, mentorship, and guidance to drive team success
- Develop and implement sales strategies tailored to DNB buying cycles and technical evaluation 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 DNB sales motions and technical buyer personas
- Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimise solutions post-sales for DNB use cases
- Enable your team to have credible technical conversations about AI applications with engineering leaders, CTOs, and technical founders
- Build strong partnerships across the organisation to drive strategic initiatives within the DNB segment
- Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within technology companies, developer platforms, and digital-first organisations
- Help your team navigate complex stakeholder ecosystems including technical leaders, product teams, procurement, and executive sponsors to build consensus
- Gather and synthesise customer feedback from DNB users to inform product direction and enhance customer experience
- Build and continuously refine the DNB sales methodology by incorporating learnings into playbooks and best practices
Requirements
- 10+ years of enterprise sales experience selling into technology or digital-native companies, preferably driving adoption of SaaS, API-first, or emerging technologies
- 5+ years of sales leadership experience, ideally leading teams selling into DNB or technology-first organisations
- Proven track record of building and leading high-performing sales teams selling into technical buyers, with demonstrated success in coaching and developing AEs
- Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organisations
- Strong technical acumen and ability to understand complex AI solutions and their applications, with experience enabling teams to have credible conversations with CTOs, VP Engineering, and technical founders
- Track record of successful partnership with technical teams throughout the customer journey
- Deep understanding of how digital-native companies evaluate and adopt new technologies, including developer-led and product-led buying motions
- Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
- Experience managing enterprise sales cycles and helping AEs secure strategic, high-velocity deals
- Strong operational rigor in pipeline management, forecasting, and sales metrics
- Excellent communication skills and ability to build relationships across all levels, from individual engineers to C-suite executives
- Passion for AI technology and commitment to its safe, responsible development
The annual compensation range for this role is £280,000-£330,000 GBP.
- AI
- sales leadership
- technical sales
- pipeline management
- forecasting
- CRM systems
- sales strategy
- DNB sales motions
- technical buyer personas
- SaaS
- API-first
- emerging technologies
- digital-native businesses
- technical acumen
- complex AI solutions
Other roles you might consider.
Filtered through the same AI-companies allowlist.
Strategic Account Executive for APJ
Cursor
Strategic Business Development Representative - Singapore (Korean-speaking)
OpenAI
Account Director, Insurance
OpenAI
Incubation Team Member
Cursor
Strategic Partnerships & Growth Lead — COCOM / SOF
Cursor
ANZ Partnerships Lead
Anthropic
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.