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Senior Engineering Manager – Machine Learning

Senior Engineering Manager – Machine Learning

CompanyKlaviyo
LocationSan Francisco, CA, USA
Salary$220000 – $330000
TypeFull-Time
DegreesMaster’s
Experience LevelSenior, Expert or higher

Requirements

  • Managed and scaled a team with 15+ engineers with machine learning skills. Experience mentoring and growing engineering managers and technical leads.
  • 7+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
  • Exceptional communication skills, capable of collaborating with stakeholders from various backgrounds to translate the business / product roadmap into AI-driven technical roadmaps & solutions and add significant value to customers and the business.
  • Deep understanding of the latest AI technologies and their application in business contexts, including deep learning, recommendation systems, NLP, generative AI, or related areas.
  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Responsibilities

  • Directly responsible for managing a team or multiple teams of Machine Learning and Full-stack engineers.
  • Developing SMART goals and career development plans for direct reports.
  • Heavily involved in interviewing, hiring, and leveling up the team.
  • Working with the team on project planning and defining achievements, identifying dependencies, and meeting business goals.
  • Develop and execute comprehensive technical strategies that align with Klaviyo’s business goals, ensuring products are not only exceptional but also aligned with the broader vision for a reliable and user-friendly AI/ML platform.
  • Engage with external and internal stakeholders to understand their needs, resolve blockers, and handle expectations. Translate the customer’s needs into AI-driven roadmaps and solutions that add significant value to customers and the business.
  • Advising the team on modeling & system design and implementation decisions
  • Iterate and improve upon engineering wide processes like recruiting, performance development, communication, and agile development.
  • Stay abreast of emerging AI trends and technologies, identifying and leveraging opportunities for their application within Klaviyo’s ecosystem.

Preferred Qualifications

  • Experience working in B2B businesses and interacting with customers directly
  • Experience collaborating with Product organizations or other cross-functional organizations to develop machine learning solutions that impact the business.