BlackbaudHiring

Manager, Software Engineering - AI and Data Platform

  • Remote, United States
  • Lead
  • Posted 7 days ago
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In one line

Engineering manager role leading teams that run a company-wide data and AI platform, covering lakehouse, pipelines and ML enablement; hybrid with engineers across several locations.

About the role

Platform ownership sits with this person: ingestion, transformation, lakehouse architecture, feature services and the layers that let teams use AI and ML. The job mixes people leadership with technical strategy, and good work means a platform that speeds other teams up instead of slowing them down.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Azure, Databricks, ADO, Lakehouse, APIs, Streaming
Posted
28 Oct 2026
Last checked
1 Nov 2026

What you will do

  • Own core platform capabilities: ingestion, transformation, lakehouse, feature services and AI/ML enablement layers.
  • Set roadmaps, milestones and success metrics, and keep the platform reliable through monitoring and incident management.
  • Hire, coach and grow platform engineers in different locations, with clear goals and development plans.

What they look for

  • Eight or more years in software, data or platform engineering, with.NET, Azure, Databricks and ADO preferred.
  • Three or more years managing and developing data engineering teams.
  • Hands-on work with cloud data lakes, distributed processing, streaming and APIs.
  • A grasp of platform engineering principles and running production systems at scale.
  • Comfort leading through ambiguity and influencing people without formal authority.

How Keywordise applies for you

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Claude

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Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: eight or more years in software, data or platform engineering, with.NET, Azure, Databricks and ADO preferred; three or more years managing and developing data engineering teams; hands-on work with cloud data lakes, distributed processing, streaming and APIs. Skills it names include Azure, Databricks, ADO, Lakehouse.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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