Sales Engineer, Enterprise

Hex; San Francisco, New York (CA, NY); Hybrid; USD 210,000 - 265,000; Full time

Benefits offered by this job

Equity

Health benefits

Flexible PTO

Job summary

Hex is redefining how teams work with data by combining notebooks, apps, BI, and AI-native workflows into a single platform. We seek an Enterprise Sales Engineer to shape evaluations, own the technical sales cycle, and partner with the sales team to win deals.

You will engage with data teams and executives, guiding technical decisions, delivering compelling demos, and influencing product direction while growing enterprise logos and relationships.

Qualifications

• 5+ years experience in a technical Pre-Sales role.
• Experience with enterprise customers with over 2500 employees.
• Familiarity with data science tooling and workflows including Python, SQL and BI tools.
• Strong track record talking to customers and solving their problems.

Responsibilities

• Serve as a trusted technical advisor to data teams & C-level executives and build relationships to maximize Hex evaluations.
• Own the technical sales cycle from discovery to demos, proofs of concept and initial deployment.
• Partner with Account Executives to develop opportunity strategy, run evaluations, and relay feedback.
• Inform the product roadmap by sharing prospect feedback with Engineering & Product teams.
• Project manage architecture, security, and technical reviews required by prospects.
• Develop content to support evaluation users, e.g., demo projects, documentation and videos.
• Travel to customer sites and marketing events to deliver demos and build relationships.

Skills

Pre-Sales experience

Enterprise customers

POC & deployment

Data science tooling

Customer communication

Communication skills

Broad technical skills

Startup experience

Job description

Hex's user base is continuing to grow rapidly. We are hiring a Sales Engineer to partner with potential customers to support their Hex evaluations.

About the role

Hex is redefining how teams work with data - combining notebooks, apps, BI, and AI-native workflows into a single collaborative analytics platform. Enterprises like StubHub, Rivian and Reddit, rely on Hex as a core part of how their data teams operate.

We’re at an exciting stage of growth. Hex is scaling rapidly, and ready to build on our foundation of Enterprise logos. This is a high-impact moment to join: our go-to-market motion is accelerating, our AI capabilities are changing the foundation of data work, and Sales Engineers play a central role in shaping how we win.

As an Enterprise Sales Engineer, you will leverage your product, ecosystem, and technical expertise to shape how our potential customers evaluate and adopt Hex. You will partner with the Sales team to help prospects understand the challenges in their current state, connect Hex’s value to those challenges, own the technical evaluation, and set them up for long-term success as a customer. This is a consultative, highly technical position where you’ll influence deal strategy, inform product direction, and act as the voice of the customer.

If you want to learn more about the team, what we do, and how we work, please check out our team page!

What you will do

• Serve as a trusted technical advisor to data teams & C-level executives (think: Data Scientists, Analytics Engineers, CIOs, AI deployment leads) and build strong relationships to help them get the most out of Hex during their evaluations
• Own the technical sales cycle and work with Hex end users throughout the Sales cycle: discovery, product demos, proofs of concept & initial deployment
• Partner closely with Account Executives to develop opportunity-level strategy, execute evaluations, and share feedback to improve your partnership
• Inform the product roadmap by synthesizing product feedback from prospects to share with internal Engineering & Product teams
• Project manage the architecture, security, and technical reviews that prospects require
• Develop content to support users who are a part of evaluations ie. demo projects, documentation, videos, etc.
• As needed, travel to customer on-sites and marketing events to deliver demos and build strong customer relationships

Who you might be

You might be a fit for this role if you have:

• 5+ years experience in a technical Pre-Sales role
• Experience working with Enterprise customers with over 2500 employees
• Experience with POC/Technical Sales Motions/Deployment Engineering to land new logos
• Familiarity with data science tooling and workflows, including Python, SQL, and BI tools (Bonus points if you have spent lots of time in notebooks, SQL IDEs, or semantic modeling tools)
• A strong track record of talking to customers - from IC users to senior stakeholders - and solving their problems
• You're an excellent communicator who builds empathy, shares feedback, and grows successful relationships with internal and external stakeholders
• A generalist technical skillset: you don't need a CS degree, but should have a passion and interest for technology and be a creative problem solver
• Experience or interest in working in an early-stage startup environment

In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.

The OTE (base + variable) range for this role is: $210,000 - $265,000
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the process.

By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.