Sr. Manager, Machine Learning Engineering, Ads Measurement Products

Ladders

United States

Remoto

USD 228.000 - 469.000

Tempo pieno

29 ore fa
Candidati tra i primi
Generatore di candidature

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Vantaggi offerti da questo lavoro

Equitable, inclusive workplace culture
Productivity tools and AI technologies
Flexible in-office requirements

Descrizione del lavoro

Ladders is seeking a Sr. Manager, Machine Learning Engineering, Ads Measurement Products, to lead a high-impact engineering team focused on measurement platforms for advertisers.

This role sets technical direction for scalable ML solutions and partners with Product, Data Science, and Engineering to shape multi-year roadmaps. Remote in the US with emphasis on hiring and a collaborative culture.

Competenze

  • 10+ years of software, ML, or data systems experience including 5+ years leading engineering teams.
  • Bachelor's degree in computer science or related field.
  • Experience in ads measurement and ad effectiveness methodologies.

Mansioni

  • Lead and expand a team building ads measurement products and platforms.
  • Set the technical vision for measurement products based on advertiser needs.
  • Collaborate with Product, Data Science, and Engineering to develop causal inference solutions.
  • Drive scalable ML and data platform development for measurement products.
  • Identify opportunities to enhance the company’s measurement offerings.
  • Engage with cross-functional stakeholders to improve measurement product adoption.
  • Hire, mentor, and cultivate a strong engineering culture.

Conoscenze

Leadership
Engineering management
Experimentation
Causal inference
Communication

Formazione

Bachelor's degree in computer science or related field

Descrizione del lavoro

For our client, we are seeking a Sr. Manager, Machine Learning Engineering, Ads Measurement Products to join the team of a leader in the Consumer Technology space.

This role will lead a high-impact engineering team focused on building measurement products and platforms that help advertisers understand and improve campaign effectiveness. You will set the technical direction for scalable ML solutions, partner closely with Product, Data Science, and Engineering, and shape multi-year roadmaps that strengthen the company’s measurement capabilities. The position also calls for strong leadership in hiring, mentoring, and creating a collaborative engineering culture.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $227,871 – $469,147 annually

Responsibilities
  • Lead and expand a team building ads measurement products and platforms.
  • Set the technical vision for measurement products based on advertiser needs.
  • Collaborate with Product, Data Science, and Engineering to develop causal inference solutions.
  • Drive scalable ML and data platform development for measurement products.
  • Identify opportunities to enhance the company’s measurement offerings.
  • Engage with cross-functional stakeholders to improve measurement product adoption.
  • Hire, mentor, and cultivate a strong engineering culture.
Qualifications
  • 10+ years of software, ML, or data systems experience, including 5+ years managing engineering teams.
  • Bachelor's degree in computer science or a related field.
  • Experience in ads measurement and ad effectiveness methodologies.
  • Strong understanding of experimentation, causal inference, and probabilistic modeling.
  • Proven ability to set technical vision and multi-year roadmaps.
  • Experience partnering with Engineering, Product Management, and Data Science teams.
  • Effective communication and stakeholder management skills.
Benefits
  • Opportunity to work in a hybrid environment with flexible in-office requirements.
  • Emphasis on an equitable, inclusive, and inspiring workplace culture.
  • Access to productivity tools and AI technologies to improve workflows.
  • Encouragement for professional growth and teamwork in technical excellence.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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