Peec AI

Engineering Manager (Data Science)

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

What you’ll do
Build, mentor, and lead an elite data science team as a trusted, empathetic player-coach, while clearly communicating complex technical ideas to executives, customers, and partners

Personally design, train, deploy, and own the models that power Peec AI’s AI Search recommendations, taking hands-on responsibility for our most business-critical ML systems

Develop and ship novel algorithms that reverse-engineer AI search and LLM behavior, turning deep technical insight into durable, customer-facing product advantages

Own the full ML lifecycle end-to-end — from first-principles research and rigorous experimentation to production deployment, monitoring, and continuous improvement

Architect and evolve scalable data and ML systems, making high-leverage decisions across data pipelines, modeling approaches, evaluation frameworks, and model serving

Write and review production-grade code at an exceptional standard, setting the technical bar for the entire organization

What we’re looking for
8+ years of professional data science experience, with at least 3+ years in a leadership or managerial role at a top-tier high growth startup, or FAANG level tech company (e.g., Tech Lead, EM, SDM)

A world-class data science leader with a rare combination of deep technical mastery and proven leadership, who has built and shipped category-defining ML products in high-growth or frontier environments

A demonstrable history of personally owning and scaling complex ML systems from raw research ideas to reliable, high-impact production deployments

Exceptional command of Python and applied machine learning, with strong systems-level instincts spanning APIs, data pipelines, ML infrastructure, and production reliability

A deep, first-principles understanding of LLMs and AI search systems, including the ability to rigorously evaluate, reverse-engineer, and reason about emergent model behavior

Experience making consequential architectural and modeling decisions in cloud-native environments (preferably GCP), using tools like FastAPI, Docker, and modern data platforms

Outstanding judgment, communication, and problem-solving ability, with the credibility to set direction, earn trust, and lead through extreme ambiguity

Our Data Science Stack
Languages: Python, SQL

Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX

Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery

AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, and others

Bonus Points
Widely recognized contributions to open-source projects or foundational ML tooling

Publicly visible side or research projects demonstrating exceptional technical depth

Publications or talks at top-tier ML or AI conferences

Founder experience or senior technical leadership in high-growth startups

Fluency in TypeScript

What we offer
A defining leadership role with with real impact and ownership at one of Europe’s fastest-growing Series A startups

Regular team events and off-sites

Aggressive equity compensation package

Paid Dinner & Uber home when working late

The most beautiful office space and work environment in Berlin

Compensation: €120K – €160K • Offers Equity
• €120K – €160K • Offers Equity
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Javascript MySQL Python SQL remote

Likely questions

  1. Tell us about work you have done that is close to the Engineering Manager (Data Science) role.
  2. How would you approach your first 30 days at Peec AI?
  3. Which of Javascript, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Javascript, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Engineering Manager (Data Science) role because I can bring practical experience in Javascript, MySQL and Python, learn the team quickly, and contribute to the outcomes Peec AI needs from this hire.

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