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

What You Bring

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 ***** 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

Bonus Points

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

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