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Senior Engineering Manager – Machine Learning
Company | Klaviyo |
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Location | San Francisco, CA, USA |
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Salary | $220000 – $330000 |
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Type | Full-Time |
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Degrees | Master’s |
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Experience Level | Senior, Expert or higher |
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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.