Application Guide

How to Apply for Technical Project Manager - Machine Learning & Data Science

at The Cadmus Group

🏢 About The Cadmus Group

The Cadmus Group has been a leader in sustainable change since 1995, combining innovative policy work with strategic stakeholder engagement. Their focus on environmental and social impact means your work as a Technical Project Manager will directly contribute to meaningful projects that address climate change, energy efficiency, and public health. It's a mission-driven organization where technology meets purpose.

About This Role

This role is at the intersection of technical execution and strategic leadership, managing cross-functional engineering teams to deliver ML and DS/AI features that drive sustainable solutions. You'll oversee the full project lifecycle—from defining integrated schedules to managing risks—while ensuring teams stay aligned with customer-focused outcomes. Your work will directly enable data-driven insights that inform policy and stakeholder decisions.

💡 A Day in the Life

A typical day starts with a stand-up meeting with your ML and data science teams to review progress and blockers. You'll then spend time refining the project roadmap, updating risk logs, and coordinating with stakeholders on priorities. The afternoon might involve facilitating a sprint planning session or diving into a technical discussion to resolve a dependency, ensuring your teams stay focused on delivering impactful, customer-facing features.

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Interview Prep

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🎯 Who The Cadmus Group Is Looking For

  • A seasoned Technical Project Manager with 5+ years of experience managing cross-functional ML/DS/AI projects, ideally in a fast-paced, ambiguous environment.
  • Someone who combines strong Agile/Scrum expertise with a deep understanding of machine learning workflows, including model development, deployment, and monitoring.
  • A proactive problem-solver who can identify and mitigate risks early, unblock teams, and drive on-time delivery without sacrificing quality.
  • An excellent communicator who can translate between technical teams and non-technical stakeholders, advocating for both technical excellence and customer impact.

📝 Tips for Applying to The Cadmus Group

1

Tailor your resume to highlight specific ML/DS/AI project management experience, including metrics like on-time delivery rates or risk mitigation success stories.

2

Research Cadmus's recent projects (e.g., in energy analytics or environmental data) and mention how your skills align with their mission in your cover letter.

3

Emphasize your experience with Agile ceremonies and backlog prioritization in a technical context—provide concrete examples of how you've led sprints for ML teams.

4

If you have experience with data science tools (Python, TensorFlow, etc.) or MLOps, mention it even if it's not explicitly required—it shows technical proficiency.

5

Prepare to discuss how you've handled ambiguity: provide a specific example of managing a project with unclear requirements or shifting priorities.

✉️ What to Emphasize in Your Cover Letter

["Express genuine interest in Cadmus's mission of sustainable change and how technology can drive policy impact.", 'Highlight your experience managing ML/DS/AI projects end-to-end, with concrete examples of delivering complex features on time.', 'Demonstrate your ability to lead cross-functional teams, resolve dependencies, and maintain clear communication across technical and non-technical stakeholders.', "Showcase your Agile expertise and how you've used ceremonies to improve team velocity and product quality."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Cadmus's latest case studies or reports on their website to understand the types of ML/DS projects they pursue (e.g., energy modeling, environmental analytics).
  • → Look into their 'Sustainable Change' blog or news section to see recent projects and company values in action.
  • → Check their LinkedIn or Glassdoor for employee insights on company culture, especially regarding cross-team collaboration and work-life balance.
  • → Research the specific tools and frameworks Cadmus uses (e.g., AWS, Python, R, Tableau) to show familiarity in the interview.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you managed a cross-functional ML project with competing priorities. How did you ensure on-time delivery?
2 How do you handle technical blockers or risks in an ML project? Give an example of a risk you mitigated.
3 How would you approach building an integrated schedule for a team of data scientists and engineers working on a new AI feature?
4 What Agile metrics do you track for ML projects, and how do you use them to drive improvements?
5 How do you ensure that customer needs are incorporated into the technical work of an ML team?
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⚠️ Common Mistakes to Avoid

  • Don't focus solely on generic project management experience without connecting it to ML/DS/AI—this role requires technical domain knowledge.
  • Avoid being vague about Agile experience; provide specific examples of Scrum or Kanban implementation, including your role in ceremonies.
  • Don't overlook the mission-driven aspect—failing to express enthusiasm for sustainability or policy impact could signal misalignment with company culture.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to The Cadmus Group!

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