Account Executive at Chalk

At Chalk, we are building the data platform that powers the next generation of machine learning applications. By removing barriers related to complexity, latency, and scale, we enable our users to push the boundaries of what is possible with ML. From stopping fraudulent transactions to maximizing clean energy capture, our platform provides the speed of Rust alongside tools that developers genuinely enjoy using. We are backed by a 50 million dollar Series A investment led by Felicis, and we are looking for passionate people to help us scale our impact.

The role

We are seeking a Senior Account Executive to join our team on a full-time basis. This is an on-site position based in our Los Angeles office, where we work together in person from Monday through Friday. Reporting directly to our Head of Revenue, you will play a pivotal role as an early employee, driving our growth by managing technical, consultative sales processes for high-growth, venture-backed companies.

Core responsibilities

• Identify new business opportunities and prospective customers while actively generating and converting your own pipeline.
• Develop and execute dynamic sales strategies to consistently meet and exceed revenue targets.
• Lead technical presentations and product demonstrations, collaborating closely with our engineering and machine learning teams to shepherd complex proofs of concept to successful outcomes.

Skills and experience

To be successful in this role, you should possess a strong background in technical sales and a passion for developer tools. We are looking for the following qualifications:

• At least 5 years of experience in technical sales, with a minimum of 2 years in a startup environment.
• A proven track record of exceeding quotas and developing effective sales processes within high-growth organizations.
• Expertise in using tools such as Salesforce, HubSpot, and Outreach to manage and optimize your sales workflow.
• Strong communication skills and the ability to present complex technical concepts to diverse audiences.
• A bachelor’s degree is required.
• Bonus points if you have specific experience selling machine learning or data infrastructure products.

Compensation and benefits

We provide a competitive compensation package that includes a salary and equity to ensure our team members share in our success. Our benefits package is designed to support your health, well-being, and daily life:

• Comprehensive medical, dental, and vision insurance.
• Generous paid time off and 15 company holidays per year.
• Commuter benefits to assist with your daily travel.
• Daily catered lunch and dinner provided at the office.
• A fully stocked kitchen with snacks and drinks.
• Support for late nights, including coverage for rideshare services.

How to apply

If you are an entrepreneurial professional who thrives in a fast-paced environment and wants to help shape the future of machine learning infrastructure, we would love to hear from you. Please reach out to our team with your resume and a summary of your experience in technical sales to begin the conversation.