Director, AI & Cloud Partnerships & Co-Development

BlackLine Systems, Inc.

United States

On-site

USD 180,000 - 320,000

Full time

6 days ago
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Job summary

BlackLine Systems, Inc. is seeking a Director of Strategic Technology Partnerships (AI & Cloud) to build and manage high-impact alliances with AI and hyperscaler providers, shaping the platform's technical roadmap.

You will lead co-development efforts, define API schemas and data pipelines, and influence early-access model evaluations with OpenAI, Anthropic, AWS, Google Cloud, Snowflake, and others alongside product, engineering, and legal teams.

Qualifications

  • Bachelor's degree in computer science, engineering, business, or a related field.
  • 10+ years managing strategic tech alliances involving API integrations, cloud infra, or AI models.
  • Hands-on technical background with ability to read API docs and discuss data flows.
  • Experience with major AI/cloud providers (AWS, Google Cloud, Snowflake, OpenAI, Anthropic) and co-development lifecycles.

Responsibilities

  • AI ecosystem strategy and engineering alliances: build roadmap-level relationships with AI and hyperscaler teams.
  • Technical & product co-development: lead joint integrations, define API schemas and data-sharing pipelines.
  • Strategic planning: align partnership strategy to AI-native product development and enterprise compliance.
  • Cross-functional collaboration: work with product, engineering, and legal to advance commitments.
  • Roadmap influence: represent BlackLine's tech requirements in partner planning conversations.
  • Co-marketing & positioning: coordinate with marketing on partner narratives.

Education

Bachelor's degree in Computer Science, Engineering, Business, or a related field

Job description

BlackLine Systems, Inc. is seeking a Director of Strategic Technology Partnerships (AI & Cloud) to build and manage high-impact alliances with AI and hyperscaler providers, shaping the platform's technical roadmap.

You will lead co-development efforts, define API schemas and data pipelines, and influence early-access model evaluations with OpenAI, Anthropic, AWS, Google Cloud, Snowflake, and others alongside product, engineering, and legal teams.

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