Senior Engineering Manager - Machine Learning (San Francisco)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Senior Engineering Manager, Machine Learning at Klaviyo, you will manage a team or multiple teams of Machine Learning and Full-stack engineers to build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, language modeling, recommender systems, and more to integrate artificial intelligence into our product and bring customers value. You will be a technical leader within the organization, helping to set the standard for excellence, growing talent, and mentoring them for their career development. You should have broad and in-depth experience in machine learning or data science, especially in the domain of deep learning, recommender systems, NLP, generative AI, or related areas.

Things you'll do & make a difference

• 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.

What we are looking for :

• 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.

Nice to have :

• 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.

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