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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.
Were hiring a Founding Technical Account Executive to own the complete customer journey for enterprise accountsfrom initial prospecting and discovery through pilot management deal closure and post-sale success. This role perfect for someone who combines deep technical fluency with enterprise sales expertise and thrives in the ambiguity of early-stage startups.
As one of our first go-to-market hires youll work directly with the Head of Revenue and CEO to define and execute our sales strategy. Youll lead deep discovery conversations tailor demos to customer needs and navigate complex enterprise buying processes. Youll work closely with our Sales Engineering Product and Marketing teams to ensure every interaction moves the deal forward and sets customers up for long-term success.
Your goal: help prospects see the transformative potential of autonomous data products powered by Nextdata OS guide them through successful pilots and close deals that become our foundational reference customers.
Full-Cycle Sales Execution
Drive enterprise prospecting through to deal closurebuild pipeline from scratch via outbound sales networking and strategic outreach while managing complex 6-12 month sales cycles involving security reviews procurement and multi-stakeholder decision-making
Lead deep discovery conversations and high-value demos with C-level executives data leaders and technical teams bridging business problems with technical solutions
Technical Proof & Implementation
Coordinate with engineering to design execute and troubleshoot technical proof cycles POCs and pilotsdefining success criteria managing timelines and bridging product gaps
Speak credibly with CTOs data architects and engineering teams about complex data infrastructure challenges while navigating enterprise buying committees
Account Growth & Success
Ensure successful post-sale adoption and implementation while managing renewals expansion opportunities and ongoing stakeholder relationships as strategic advisor
Gather customer feedback to inform product roadmap and go-to-market strategy
Go-to-Market Foundation Building
Partner with founding team to build scalable repeatable sales processes while creating collateral case studies and documentation on the fly
Evangelize the autonomous data vision at industry events and collaborate across Product Engineering and Marketing to refine messaging and drive product-market fit
You have 5 years of B2B enterprise software sales experience selling complex technical solutions like data infrastructure cloud platforms or developer tooling.
You are an entrepreneurial self-starter with a proven track record of managing complete sales cycles from prospecting and cold calling leads holding effective discovery strategizing and managing sales and technical demos through to renewal and expansion.
You have a technical foundation with either a technical degree (e.g. Computer Science) or significant technical fluency from selling to buyers at companies like AWS Snowflake or Databricks.
You can speak credibly with technical stakeholders including CTOs and engineering teams and understand complex data and cloud challenges.
You have experience guiding technical proof-of-concepts (POCs) and can articulate complex concepts to both technical and non-technical audiences.
You have early-stage startup experience building functions from 0 to 1 at Seed to Series A companies. Youre comfortable operating in high-ambiguity environments and have a builders mindset to create minimum viable processes and playbooks while executing deals.
You have a consultative selling approach with a hunter mentality and strong discovery skills to build your pipeline through prospecting.
You are adept at navigating long sales cycles (6-12 months) and complex deal structures with strong negotiation skills to manage enterprise procurement.
You possess exceptional storytelling abilities and can craft compelling narratives that connect business problems to technical solutions.
You can present to and influence C-level executives while maintaining a process-oriented mindset and scrappy execution.
Experience selling at data infrastructure companies (ex. Snowflake Databricks Confluent Fivetran Starburst dbt Labs etc.)
Background with Kubernetes containerization and cloud-native data architectures
Knowledge of data mesh data fabric or distributed data architecture concepts
Experience with enterprise data governance security and compliance requirements
Previous founding AE or early sales hire experience at technical startups
We believe the best founding AEs come from diverse paths because this hybrid role demands both technical depth and commercial excellencequalities that can be developed through different experiences. At the core were looking for grit and ingenuity. Were open to candidates with the following backgrounds:
technical builders who evolved into sales (CS Engineering or Data Science degrees progressing from solutions engineering or technical consulting into enterprise sales)
business professionals with deep technical fluency (MBA or business degrees who built technical credibility selling to technical buyers at companies like AWS Snowflake or Databricks)
industry insiders who transitioned from hands-on roles (former data engineers architects or IT leaders who moved into sales and bring authentic understanding of enterprise data pain points).
What matters most is demonstrated ability to bridge technical complexity with business value regardless of which path brought you here. If you arent sure of your fit we encourage you to apply!
Senior AE-level compensation (base salary/OTE/Commission) with strong equity package reflecting early-stage risk and upside
Comprehensive Health Benefits (medical dental vision) for you and your dependents
$2000 Home office Stipend
Unlimited PTO (this is not a trojan horse we mean it!)
*Note: this role is remote but we are looking for candidates located within 2 hours of the SF Bay Area.
Required Experience:
IC
Full-Time