Sales Development Representative (SDR) - Job Req DRAFT
We are looking for a Sales Development Representative (SDR) to help grow our pipeline and connect with data teams who are looking to build their context layer for Enterprise AI and scale their use of AI for data management, governance, and analytics. As an early sales hire, you’ll play a critical role in driving top-of-funnel engagement, qualifying and nurturing prospects, and setting up Collate for long-term growth.
Outcomes & Activities:Own all warm leads within your territory including inbound sales requests, free tier leads, and users in the OpenMetadata community showing intent signals.
Generate outbound leads and build relationships through email, LinkedIn, etc.
Conduct discovery calls, qualify fit, pitch our platform and educate prospects on the value and differences of OpenMetadata and Collate.
Execute personalized account-based and event campaigns in partnership with Marketing
Partner with Account Executives to penetrate target accounts, re-engage stalled opportunities, and continue personalized nurturing.
Track targeted accounts in open source community in partnership with Developer Relations
Maintain accurate and up-to-date records of all sales activities, contacts and customer interactions in Hubspot.
Possible event attendance to support pipeline generation and lead follow-up.
A passion for technology and software sales - 1-2 years of customer-facing experience is preferred.
Understanding of data infrastructure, analytics, AI, or engineering concepts is a plus.
Strong ability to craft compelling messaging and articulate value to technical and business stakeholders.
Comfortable running full discovery calls and pitching software to a range of buyer personas.
A self-starter who thrives in a fast-moving, startup environment with a test-and-learn mindset.
A strong curiosity for AI and a willingness to experiment with and leverage AI tools to drive efficiency, optimize workflows, and accelerate success.
Works well with cross-functional teams, including sales, marketing, and product.
Experience using tools such as Apollo, LI Sales Nav, Hubspot, Commonroom, Sumble.
Experience selling to data teams, engineers, or IT buyers.
Familiarity with open-source technologies or the data, AI, analytics space.
Prior experience in a high-growth startup environment.
Competitive salary and early stage startup equity.
Medical, dental, and vision insurance to keep you and your family healthy.
Remote-first workforce, headquartered in SF Bay Area.
Flexible time off.
Company offsites and team events.
Work with a smart, motivated team, where you can make an impact and grow.
Collate is the AI for Data platform built on OpenMetadata, the open semantic context layer for AI. It automates data management, answers questions in natural language, and gives enterprises a single source of truth for every AI agent and analyst. Global 2000 companies and innovative startups rely on Collate to put AI for data into production. Headquartered in Silicon Valley, Collate is backed by Venrock, Unusual Ventures, and Karman Ventures. Learn more at getcollate.io.
Skills Required
- 1-2 years of customer-facing experience
- Experience maintaining accurate sales records in HubSpot
- Ability to generate outbound leads via email and LinkedIn
- Comfortable running discovery calls and pitching software to varied buyer personas
- Strong ability to craft compelling messaging and articulate value to technical and business stakeholders
- Self-starter mindset; thrives in fast-moving startup environments
- Strong curiosity for AI and willingness to leverage AI tools to improve workflows
- Understanding of data infrastructure, analytics, AI, or engineering concepts
- Experience with Apollo, LinkedIn Sales Navigator, Commonroom, Sumble
- Experience selling to data teams, engineers, or IT buyers
- Familiarity with open-source technologies and the data/AI/analytics space
- Prior experience in a high-growth startup environment
What We Do
Collate is an AI-powered platform for agentic data intelligence that automates processes and fosters collaboration among data teams, connecting metadata, context, and meaning to help discover, govern, and trust data.


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