Collate is the company behind OpenMetadata, the fastest-growing open-source metadata platform. Our founders previously created Apache Hadoop, Apache Atlas, and Uber Databook, and cofounded Hortonworks, taking it through IPO.

We’re on a mission to help every organization realize the full potential of their data through AI Agents, open source, and unified metadata. Traditional data catalogs and quality tools fall short, Collate solves foundational challenges in data discovery, observability, and governance by building an agentic metadata platform that connects all data users.

With Collate’s AI powered platform, enterprises can:

• Discover and understand data at scale.

• Ensure trust and quality across complex ecosystems.

• Unlock collaboration, observability, and governance with a unified metadata layer.

If you’re passionate about shaping the future of data and AI, this is your opportunity to join a category-defining company at the ground floor.

About the Role

Collate is looking for a Sales Engineer to play a critical role at the intersection of technology and business, partnering closely with Account Executives to drive new customer acquisition and expansion within our enterprise accounts You’ll act as the trusted technical advisor to prospects and customers, translating complex Collate product capabilities into business outcomes.

In this role, you’ll lead product demonstrations, develop tailored solution architectures, and guide customers through technical evaluations and proof-of-value engagements. You’ll collaborate cross-functionally with Product Management, Engineering, and Customer Success to ensure our solutions meet client needs and align with their strategic goals.

What You’ll Do

• Partner with Sales: Work closely with AEs and Leadership to drive deals forward by identifying customer pain points, demonstrating product value, and building technical trust.

• Technical Demonstrations:  Become a SME on Collate and OpenMetadata and deliver clear and concise demos that highlight the strengths of the Collate platform

• Technical Discovery: Learn the infrastructure, existing data landscape and business goals for each customer.

• Solution Design: Architect scalable solutions that integrate cleanly with the existing customer environment and that match stated and anticipated customer needs

• POCs: Lead POCs working closely with the customer on success criteria and handoff to production when complete

• Documentation and Training: Create scalable and reusable documentation and tooling to help other SEs, Customer Success and the end customer

What You Bring

• Demonstrated expertise in Sales Engineering, Solutions Architecture, or related technical pre-sales role, ideally in a SaaS or data startup.

• Previous experience as a lead or manager driving strategic decisions and planning around sales engineering.

• Relentless customer focus acting on behalf of the customer to drive successful evaluation and implementation.

• Demonstrated ability to take complex technical concepts and translate to a wide variety of audiences and business goals.

• Excellent written and verbal communication skills

• Strong understanding of modern data landscape (databases, warehouses, streaming data, analytics, etc..)

Nice to Have

• Experience with OpenMetadata, data catalogs, or observability platforms.

• Familiarity with AI/ML workflows and how metadata can drive trust in AI.

• Experience with SQL, Python, or other scripting languages for prototyping solutions.

• Knowledge of modern data ecosystems (Snowflake, Databricks, BigQuery, etc.).

• Familiarity with adjacent solutions (Alation, Collibra, Atlan, Datahub, etc.).

Why Join Collate

• Competitive salary and early-stage equity.

• Fully remote role with a global, distributed team.

• Work directly with world-class founders and early builders of Apache and Uber’s data stack.

• Join a fast-growing, no-bureaucracy team obsessed with solving the hardest data challenges.

• Opportunity to shape the category of metadata + AI Agents and impact how data teams worldwide collaborate.