Enterprise Sales Development Representative (AI Context Layer)
Job Description
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Atlan is building the context layer for enterprise AI. Enterprises are pouring money into AI, but most of it fails in production because the AI lacks understanding of the business context around the data. Atlan solves this problem.
Gartner has identified context as the defining issue in enterprise AI, calling context graphs essential infrastructure for AI agents. Atlan is one of the three vendors already building this, and the only vendor named a Leader across all four major Gartner and Forrester evaluations for data catalogs, data governance, and metadata managementāthe foundation for the context layer.
Come build the infrastructure that AI runs on.
What You'll Own
- Run full-cycle, multi-stakeholder enterprise sales cycles with sophisticated data and AI leaders (CDO, SVP of Data, CIO) at large accounts, backed by a base of roughly 400 enterprise customers.
- Self-generate pipeline in your own Bay Area territory. You own account strategy and deal orchestration end-to-end with support from BDR, Sales Engineer, and Partner teams.
- Build direct relationships with partner field teams (Snowflake, Databricks, and other ISVs/SIs). Atlan is partner-led but closes direct contracts, so these relationships are built by you.
- Sell across three connected layers: the established metadata and governance foundation, AI-ready data and governed workflows, and the newer strategic motion (Context Layer, Context Lakehouse, context agents, and Agent Registry).
- Help build the motion itself, including messaging, target-account strategy, executive relationships, and qualification discipline. You'll help codify at least one repeatable play the wider team can inherit.
- Be a visible, embedded presence in the Bay Area technical and CIO/founder ecosystem: meetups and founder circles, not just meetings.
What Makes You a Match
- You've carried a bag with a genuine AE track record. You're comfortable with technical nuance and can engage with CDO or CIO audiences, whether through a Sales Engineer/technical background, a technical degree, or years of selling infrastructure-level products.
- You've successfully sold different technologies or into different buyer types across your career, whether in enterprise application software, AI-native products, or infrastructure.
- You operate with high agency: you take action without being told, build your own messaging when there isn't a playbook yet, and aren't intimidated by gaps in your own knowledge.
- You're genuinely using and upskilling in AI day to day, showing real personal curiosity, not just performed fluency.
- Your past deal discussions matter: we look for whether you solved a real business outcome for the customer, not just selling a point solution or feature.
Bonus
- You've built something from scratch before, whether a new territory, segment, or motion at a prior company, showing you don't need an existing playbook to succeed.
- Experience selling a genuinely technical, infrastructure-level product to sophisticated enterprise buyers.
- Comfort operating in a partner-led, multi-stakeholder deal environment (e.g., Snowflake or Databricks field co-selling).
Atlan is committed to transparent, fair, and equitable compensation practices.
Local Pay Range: $330,000ā$360,000 OTE USD (including equity and benefits). Actual compensation is based on factors including job-related skills, depth of experience, and relevant certifications.
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Atlan
View Company ProfileAtlan is a pioneering data orchestration and metadata management platform that serves as the enterprise-grade 'Context Layer for AI.' Moving beyond traditional, static data catalogs, Atlan operates as a highly dynamic, active data governance engine. It seamlessly unifies complex data estatesāspanning cloud data warehouses, BI tools, and modern data pipelinesāinto a single, queryable Enterprise Data Graph. Under the hood, the platform leverages advanced machine learning and native Context Agents to automatically document tacit institutional knowledge, generate robust data lineage, and enforce strict security policies at scale. This allows cross-functional teams to resolve semantic conflicts, certify data quality, and ship production-ready business logic directly to downstream AI applications and LLMs. Trusted by global leaders like Nasdaq, Unilever, and General Motors, Atlan differentiates itself through its open, Iceberg-native context lakehouse architecture, ensuring that sophisticated data engineering teams can democratize trustworthy, AI-ready data without sacrificing compliance or operational agility.
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