销售工程师，企业级
Sales Engineer, Enterprise
Hex正在扩大我们的团队，致力于让每个人都能成为数据专家。我们的平台解决了当今数据和分析工具的关键痛点，使任何人都能通过自然语言探索数据，无论是否有代码，都在可信的上下文中进行。Ramp、Figma、Stubhub、Anthropic和Gamma等数千家客户喜欢Hex，因为它的美观界面、代理式超级功能以及无限的灵活性。
Hex已从Sequoia、a16z、Snowflake和Amplify等领先投资者处筹集了超过1亿美元。我们在旧金山和纽约设有办公室，同时在美国和英国还有远程员工。我们是一个高自主性的团队，快速交付并享受工作过程。请观看我们的Hex简介视频和员工手册，了解更多关于在Hex工作的内容。
Hex的用户群正在迅速增长。我们正在招聘一名销售工程师，与潜在客户合作以支持他们的Hex评估。
职位描述
Hex正在重新定义团队处理数据的方式——将笔记本、应用、BI和AI原生工作流整合到一个协作分析平台中。StubHub、Rivian和Reddit等企业将Hex作为其数据团队运作的核心部分。
我们正处于增长的激动人心阶段。Hex正在快速扩展，并准备在企业标志的基础上继续建设。这是一个高影响力的时刻，加入我们：我们的市场进入策略正在加速，我们的AI能力正在改变数据工作的基础，而销售工程师在塑造我们如何赢得客户方面起着核心作用。
作为一名企业销售工程师，您将利用您的产品、生态系统和技术专长，来影响潜在客户对Hex的评估和采用方式。您将与销售团队合作，帮助客户了解他们当前的挑战，将Hex的价值与这些挑战联系起来，主导技术评估，并为客户长期成功奠定基础。这是一项咨询性质的高技术职位，您将影响交易策略，为产品方向提供信息，并充当客户的代言人。
如果您想了解更多关于团队、我们的工作内容以及我们的工作方式，请查看我们的团队页面。
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ABOUT HEX
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp https://hex.tech/customers/ramp/, Figma https://hex.tech/customers/figma/, Stubhub https://hex.tech/customers/stubhub/, Anthropic, and Gamma love Hex https://www.g2.com/products/hex-tech-hex/reviews for our beautiful UI, agentic superpowers, and boundless flexibility.
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video https://www.youtube.com/watch?v=qAXsnrNlavk and employee handbook https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6 to learn more about what it’s like to work at Hex.
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 https://hexhq.notion.site/the-customer-team-hex!
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
The OTE (base + variable) range for this role is: $210,000 - $265,000
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 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 interview 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.