Forward Deployed Engineer

Posted 2 Days Ago
Be an Early Applicant
Raleigh, NC
Hybrid
116K-145K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Software • Business Intelligence
Collibra powers possibility with trusted data and the people who turn clarity into impact.
The Role
The Software Engineer will lead the deployment of Unstructured AI solutions, managing technical delivery, customer integration, and enhancing product functionality while working collaboratively across teams.
Summary Generated by Built In
Joining Collibra’s Unstructured AI Team

We’re shaping the way some of the largest organizations in the world manage data by helping customers connect the right data and insights for all Data Citizens. We are building a team of exceptional people to help us deliver on that promise. As a Deployed Engineer, you are the guiding force behind bringing Collibra's product and vision to customers and prospects. Engineers establish knowledgeable and trusted relationships from day one and serve as thoughtful technical advisors.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Forward Deployed Engineer at Collibra are responsible for
  • Own end-to-end technical delivery of Unstructured AI deployments — from first prototype to stable production across enterprise environments.
  • Build and scale full-stack systems that process and enrich large volumes of unstructured content (PDFs, contracts, reports, and other document types).
  • Embed closely with customer and field teams to understand their metadata, governance, and security needs - guiding how Unstructured AI integrates into their broader Collibra stack.
  • Scope work, sequence delivery, and remove blockers early to ensure fast iteration cycles between product, research, and deployment teams.
  • Balance scope, speed, and quality - making clear trade-offs to keep pilots moving and convert them into production rollouts.
  • Codify repeatable patterns from customer projects into reusable connectors, enrichment modules, or playbooks that accelerate future deployments.
  • Feed field insights back to Product and Research, identifying opportunities to improve product experience.
  • Keep cross-functional teams aligned through clear communication, prioritization, and follow-through.
You have
  • Shipped complex systems under ambiguity - balancing speed and precision in real customer environments.
  • Written and reviewed production-grade code across backend (Python, FastAPI).
  • Built or deployed document-processing systems and are comfortable with CI/CD, monitoring, and debugging tools.
  • 2+ years of software engineering or technical deployment experience,  ideally involving enterprise integrations, AI data processing, or customer-facing delivery.
  • Strong proficiency in Python (data processing, API development, and integrations).
  • Proven ability to deliver production-grade systems that process large-scale unstructured data (PDFs, text, documents).
  • Solid understanding of data pipelines, microservice architecture, and API design.
  • Experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform) and containerization (Docker / Kubernetes).
  • Experience with LLM-based or AI-driven enrichment models (classification, extraction, deduplication, PII detection).
  • Familiar with metadata systems, data cataloging, or document AI workflows.
  • Background in data governance, sensitive data detection, or enterprise integrations (Collibra, Databricks, Snowflake, etc.).
  • A track record of codifying repeatable deployment patterns into tools, SDKs, or frameworks.
  • Knowledge of security, compliance, and model evaluation best practices.
You are
  • Capable of communicating clearly across engineering, product, and field teams, ensuring alignment from prototype to rollout.
  • Experienced in spotting risks early, course-correcting without friction, and model composure when delivery timelines are tight.
  • Someone who cares deeply about data quality, precision, and governance.
  • Willing to gain hands-on experience with modern frontend development.
  • Able to translate customer requirements into technical plans and deliver end-to-end.
  • Strong communication and stakeholder-management skills across technical and business teams.
  • Calm, structured decision-making under tight timelines or ambiguity.
Measures of Success

Within your first month, you will…

  • Develop a deep understanding of how enterprises manage and transform unstructured data, including document pipelines, metadata systems, and retrieval architectures.
  • Partner closely with former YC founders and senior product leadership to see how we run a fast, startup-style execution motion inside a scaled organization. You will then ship your first end-to-end feature across the stack (backend, infrastructure, and UI), directly improving the product used by real customers.

Within your third month, you will…

  • Deploy the product and your features in multiple Fortune 500 customer environments, often working inside the customer’s cloud and data perimeter. You will serve as the connective tissue between GTM, Product, Engineering, and Customer teams, translating customer feedback into product direction and execution plans.

Within your sixth month, you will…

  • Become an expert in context engineering, designing how data, metadata, and domain knowledge flow into AI systems to maximize reliability, relevance, and decision quality.
  • Independently lead complex deployments, transforming unstructured and structured data to support AI-driven decision making at enterprise scale. You will use the Unstructured AI platform to build enterprise-grade AI products within customer environments, shaping how AI agents reason over real-world data.
Compensation for this role

The standard base salary range for this position is $116,000.00 - $145,000.00 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.



Benefits at Collibra

Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.

We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.

At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.

With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.

Top Skills

AWS
Azure
Docker
Fastapi
GCP
Kubernetes
Python
Terraform
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The Company
HQ: New York, NY
1,100 Employees
Year Founded: 2008

What We Do

Data has endless potential, if people can trust it.

Collibra helps organizations turn data into a trusted asset that drives business value, innovation, and AI readiness. Our cloud-based data intelligence platform connects data, people, and processes across the enterprise so teams can find, understand, and use the right data with confidence.

By uniting governance, quality, privacy, lineage, and catalog capabilities in one secure, scalable SaaS solution, Collibra gives companies a single source of truth and a foundation they can trust as they embrace AI.

Today, Collibra powers possibility for many of the world’s most data-driven organizations, from global banks and healthcare leaders to public institutions and high-growth tech companies. We help them use data responsibly to make faster, smarter, and more ethical decisions while meeting the highest standards for compliance and innovation.

What truly differentiates us is the way we work. Collibrians bring curiosity, clarity, and care to everything we do. We collaborate across functions and time zones as a global #OneCollibra team, solving complex challenges and delivering measurable impact for our customers.

Founded in Brussels and headquartered in New York, with offices in Raleigh, London, Prague, and beyond, Collibra is a global company built on trust and connection. We work fast, communicate openly, and stay grounded in our mission to make data , and now AI, meaningful for everyone.

Because at Collibra, trusted data isn’t the end goal — it’s where possibility begins.

Why Work With Us

Work here means showing up curious, clear, and ready to build with purpose. As data and AI reshape what’s possible, Collibrians bring clarity to complexity and care to how we work. The pace is fast and the work is meaningful— because every problem we solve powers possibility, as #OneCollibra.

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