Senior Sales Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
The future of data is autonomous. Nextdata OS makes it real. Our platform is built for the challenge of creating and sharing autonomous data products at scale giving developers a new responsible way to deliver data that is portable secure and ready for use anywhere.
We imagine a world where AI ML and analytics run on trustworthy self-protecting dataacross organizations technologies and most importantly across boundaries of trust.
Our mission is to transform how data is created shared discovered and usedmaking it connected fast and fair.
Nextdata OS is designed for data developers users and owners to treat data products as first-class citizens with trust built in from the start. We embrace the reality that data is complex and messy: models go stale fast ownership spans trust boundaries storage lives on many platforms and usage spans many modes. Most importantly data cannot protect itself.
Past approaches have tried and failed to solve thisoften creating brittle systems that are hard to scale and impossible to trust. Were here to reimagine the data world with you.
About the Role
Were hiring a Senior Sales Engineer to lead the technical side of our sales motionfrom 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 customers unique needs.
As our first dedicated Sales Engineer youll work closely with the Head of Revenue and CEO to shape how we engage with prospects. Youll 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 Youll 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 skills: you can command a room simplify the complex and adapt to your audience
Strong customer empathy and consultative selling approachcomfortable 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
Required Experience:
Senior IC
Key Skills
- Presentation Skills
- Ruby
- S3
- Data Analytics
- SAAS
- Product Demos
- Teradata
- OpenStack
- Pre-sales
- MPLS
- MongoDB
- HBase
About Company
Automate and scale data management with autonomous data products. Simplify management, ensure compliance, and power AI, apps, and analytics—fast.
