Senior Sales Engineer

About the Role

We’re hiring a Senior Sales Engineer to lead the technical side of our sales motion—from discovery through demo and proof-of-concept. This role is perfect for someone who thrives in early-stage environments, combines deep technical knowledge with consultative sales acumen, and can tailor complex data architecture solutions to each customer’s unique needs.

As our first dedicated Sales Engineer, you’ll work closely with the Head of Revenue and CEO to shape how we engage with prospects. You’ll own technical conversations, build demo environments, and develop solution architectures that help prospects see the transformative potential of Nextdata OS.

This role is remote but limited to candidates in the San Francisco Bay Area.

What You’ll Do

• Lead technical discovery calls and understand customer architecture, pain points, and success criteria

  Showcase Nextdata OS through customized demos, tailored storytelling, and clear articulation of product value

  Build and manage demo environments that simulate real-world data scenarios

  Own and deliver PoCs, partnering with prospects to prototype integrations and data product workflows

  Create technical sales collateral, including diagrams, solution briefs, and architecture overviews

  Respond to technical assessments and security reviews, guiding buyers through integration and deployment conversations

  Collaborate with Sales, Product, and Engineering to inform roadmap and improve technical GTM assets

  Represent Nextdata externally in webinars, briefings, and field events as a technical voice of the company
  

• 7+ years in technical roles (Sales Engineer, Solutions Architect, Data Engineer)

  3+ years of customer-facing experience selling to enterprise data teams

  Proficiency with Python, SQL, Spark, and familiarity with GenAI tooling and cloud platforms (AWS, GCP, Azure)

  Strong grasp of modern data infrastructure (data lakes, warehouses, orchestration, governance)

  Familiarity with Data Mesh, data product thinking, and distributed data architectures

  Ability to build PoCs quickly, with an eye for product impact and usability

  Exceptional presentation skills: you can command a room, simplify the complex, and adapt to your audience

  Strong customer empathy and consultative selling approach—comfortable digging into architecture and business context

  Comfortable working in a fast-paced, ambiguous environment with a bias toward action
  

• Experience at a high-growth startup or scaling a technical sales motion from the ground up

  Experience with AI/ML platforms, MLOps, DataOps or developer platforms

  Cloud and data engineering certifications

  Public speaking or thought leadership experience in data infrastructure or architecture