Smartly

Senior Engineering Manager, Ad Performance Recommendation team

Smartly WorkFromHome

Stellenbeschreibung:

Senior Engineering Manager, Ad Performance Recommendation team

We are seeking a Sr. Engineering Manager to join our 200+ product development organization and lead our Ad Performance Recommendation team . The team is responsible for developing an innovative AI-powered system that leverages marketing ad tech data and various data sources to identify performance signals and generate actionable recommendations for digital advertisers and marketers.

As part of the AI Platform organization, you will lead a multidisciplinary team of Data Scientists, ML Engineers, and Software Engineers working to accelerate AI adoption and development across Smartly’s Media, Creative, and Intelligence suite. The team ensures compliance with privacy, security, and ethical guidelines.

This is an opportunity to define the vision and strategy for ML and Data Science applications, drive execution on ambitious goals, and champion AI and ML excellence throughout Smartly.

Here’s What You’ll Do

  • Lead and grow the Ad Performance Recommendation team, providing technical direction, strategic vision, and hands‑on leadership.
  • Drive the development of AdTech‑specific ML models foundational AI capabilities (e.g. predictive and simulation techniques) and explore novel approaches that can be applied across Smartly’s products. Optimize existing models for performance, efficiency, and scalability.
  • Collaborate cross‑functionally with other teams to ensure AI‑driven features deliver measurable business and customer impact.
  • Ensure compliance with privacy, security, and ethical AI standards in ML applications.
  • Foster a strong engineering culture focused on innovation, quality, and continuous improvement.
  • Mentor team members through coaching, 1:1s, and career development plans.
  • Remove obstacles to enable your team to thrive and deliver exceptional results.
  • Partner with recruiting to help scale the team by actively sourcing and closing the best talent.
  • Partner with other leaders in the AI Platform to shape Smartly’s long‑term AI strategy and architecture.

Here’s What We’re Looking For

  • 7+ years of experience building services and products.
  • 5+ years of experience applying machine learning to real‑life problems.
  • 3+ years of experience leading teams.
  • Competent with key ML technologies such as PyTorch, TensorFlow, Python, SQL.
  • Able to mentor, coach, and develop data scientists and machine learning engineers.
  • Proven experience delivering scalable ML systems in production.
  • A pragmatic mindset focused on creating value for customers.
  • Curiosity and a drive for continuous learning through experimentation.
  • Ability to drive both technical excellence and cross‑functional collaboration.
  • Understanding of security and compliance requirements when working with personal data.
  • M.Sc. or Ph.D. in a relevant field (Mathematics, CS, AI, Physics, etc.).
  • Excellent communication skills in written and spoken English.
  • Ability to work 3 days per week at our office.

What We Offer

  • Ownership Culture: significant impact on products with autonomy and ownership.
  • Industry Collaboration: work with leading online marketers and platforms such as Meta, Pinterest, Snap, TikTok, and Google.
  • Professional Development: access to mentorship, training, and resources.
  • Wellbeing Focus: comprehensive healthcare packages, mental health services, and a healthy work‑life balance.
  • Total Rewards: equity options program and performance‑based grants.
  • Flexible hybrid work model, including the option to work abroad for up to 30 days.

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Apply now and shape the future of digital advertising!

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    11 Dez 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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