Founding Field Engineering Lead
The Company
The future of data–especially for agentic/LLM consumption–lies in decentralization, and autonomous data products are the proven approach for implementing it at enterprise scale. Nextdata OS is an autonomous data product operating system built to meet the challenge of safely decentralizing data at scale for humans and agents.
We envision a world where AI systems can safely and reliably act on data because the context of the business travels with the data itself. In this world, domain teams own the meaning, quality, and policies of their data, while the enterprise maintains interoperability and trust across organizational and technological boundaries.
Our purpose is to transform how organizations create, share, discover, and use data—so that data becomes a trusted, governed product that both people and AI systems can use directly. By turning fragmented datasets into autonomous data products, we enable organizations to move from brittle pipelines and manual coordination to governed, machine-usable data at scale.
Nextdata OS makes data products first-class primitives of the data architecture. Autonomous data products carry their own semantics, policies, quality signals, and delivery interfaces, exposing domain-centric context that applications, analytics, and AI agents can safely consume. A shared control plane ensures that while domains operate independently, semantics, governance, and interoperability remain coherent across the enterprise.
The world of enterprise data is inherently complex. Data lives across platforms, organizations, and trust boundaries. It is constantly evolving, used in many different modes, and increasingly consumed by machines rather than humans. Traditional approaches—centralizing data, enforcing governance through process, and managing meaning through documentation—struggle to keep pace with this reality.
Our mission is to make data capable of governing and describing itself, so that both humans and AI can discover, trust, and use it correctly. By embedding semantics, policies, and context directly into autonomous data products, we help organizations transform fragmented data estates into reliable foundations for analytics, applications, and AI.
About The Role
As a founding field engineering lead, you will own the full post-sales customer success process, from the development of PoCs to the production deployments of Nextdata OS in customer environments. You will collaborate with all levels of stakeholders within the customer organization to define clear success criteria for PoCs and production deployments. You will lead a team of engineers and drive the design, build, and deployment of customers’ domain-specific data products and custom analytics/ML applications using those data products to successfully realize the power of autonomous data products in Nextdata OS.
The Impact you will have:
You will work closely with the sales counterparts and engage early in the sales process to understand our customers' needs, their businesses, and how they define success, ensuring that we exceed expectations in delivery and the value of the solutions we develop.
Consult with and run workshops with customers to understand the scope of engagement, requirements, time, cost, and benefits. You will be responsible for estimating, scoping, and developing the statement-of-work documents.
Resolve delivery challenges, address resource contentions, scoping issues, and manage expectations.
Leverage your deep understanding and passion for our product to communicate its value to customers and system Integrators.
Partner with your product counterparts to both develop and inform a deep understanding of features, roadmaps, and gaps.
Always be looking for new opportunities, as you will be asked to go after new parts of customer organizations and grow existing accounts.
You Are The Right Fit If You Have
7+ years running a Professional Services and Training Services line of business with a focus on data enablement solutions.
7+ years in customer-facing roles that require a mix of influencing, validating, handling negotiations, understanding, and execution.
3+ years of experience with the application and deployment of early-stage startup products in the field.
Data and AI domain experience working with Fortune 1000 enterprises to realize business value through to production implementations.
Excellent customer-facing skills, including working with Executives and other team members.
Experience partnering with System Integrators (SIs) on product and service strategies.
Service delivery and program management skills with the ability to summarize customer success outcomes into well-structured program plans.
Travel is required up to 25%, with higher rates during peak times.
Ideal to have familiarity and experience with Data Mesh implementations.
Our Benefits
We are an early-stage company, but we don't subsist on ramen! We are an experienced team with families. We provide $2,000 for your home workspace setup, company laptop, premium health, vision, and dental insurance coverage for you and your family. As an early-stage start-up, you will receive a compensation package that includes a competitive salary and equity i