Level

Surge AI

Strategic Projects Lead

Surge AI is hiring a Strategic Projects Lead for a remote role open to applicants in United States. Level rates it ; you can apply on Surge AI.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Anthropic, Python and SQL among its tools and skills.
  • Level classes it as a mid-level role.
  • Surge AI has 27 other open roles on Level.

AI in this role

Manage data operations, pipelines, and quality metrics to support training datasets for AI models.

anthropicpythonsql
data-pipelinesdata-operationsprocess-optimization

About Us

Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.

Surge was founded by engineers and researchers who dreamed of building the next generation AI. We're building a platform that powers the most powerful models in the world in partnership with companies like Anthropic, Google, Microsoft, and Meta.

At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.

The Role

As a Strategic Projects Lead at Surge, you will ensure that our data collection, processing, and management systems operate efficiently and scale with our growing needs. You will work closely with engineering, product, and operations teams to ensure that our data pipelines and processes are optimized for both speed and quality. This is a great opportunity for someone who thrives in dynamic environments and is passionate about making data flow seamlessly through complex systems.

What You'll Do

  • Manage the end-to-end data operations process, ensuring data is collected, processed, and delivered efficiently and accurately.

  • Collaborate with product and engineering teams to refine data pipelines and improve data flow across systems.

  • Establish and monitor key data quality metrics, ensuring the consistency and reliability of data used for training AI models.

  • Identify operational inefficiencies in data workflows and implement solutions to improve speed and quality.

  • Provide actionable insights from data analysis, supporting teams in decision-making and product development.

What We're Looking for

  • Strong technical skills, with experience in managing data pipelines and ensuring data quality (experience with SQL, Python, or similar tools preferred).

  • Excellent problem-solving skills and a data-driven approach to improving processes and systems.

  • Strong collaboration skills with the ability to work cross-functionally and communicate complex data issues to non-technical stakeholders.

  • Interest in AI/ML systems is a plus, but not required.

How we rate this

Strategic Projects Lead at Surge AI rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data PipelinesData OperationsProcess OptimizationAnthropicPythonSQL

Questions you could be asked

  1. Tell me about a project where data pipelines was part of your work. What did you do?
  2. Tell me about a project where data operations was part of your work. What did you do?
  3. Tell me about a project where process optimization was part of your work. What did you do?
  4. What's a project where you used Anthropic hands-on?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Pipelines, Data Operations, Process Optimization, Anthropic, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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