Engineering Manager II, Generative AI Products

The Products team of the Advanced Technologies Group (ATG) at Pinterest is tasked with building AI-first products by leveraging both the full scale of the ML ecosystem within the company, and any available external tools for fast iteration and prototyping. This team sits directly with ML engineering and research, and has a high degree of daily collaboration with these teams. The team is staffed with dedicated PM and design counterparts, all with the same mission of building zero-to-one AI products. ATG has a long history of close collaboration with the rest of the core engineering and product teams at Pinterest, meaning that the work here has a clear expectation of shipping to production.

What you’ll do:

• Mentor and coach a team of product and backend engineers, distributed across NYC, San Francisco, and some remote roles. We aim to create a highly collaborative environment where engineers have the opportunity for bottoms-up ideation and a regular culture of product demos.
• Ensure that the engineering work on the product side follows best practices across iOS, API, and ML engineering.
• Interface directly with our ML/AI teams, collaborating with them on model design decisions, since every product from this team is built to deepen our investments in generative AI.
• Work with product managers, designers, and other cross-functional partners to push forward new product ideas in the AI space. The ideal candidate would feel comfortable leading brainstorming sessions at the intersection of emerging AI trends and design considerations.
• Organize team events across NYC and SF for joint onsites and other engineering+product collaboration opportunities.

What we’re looking for:

• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.
• 2+ years of management experience, or tech lead experiences in 8+ people team (4+ years).
• 8+ years of relevant industry experience in product engineering, with at least some experience in collaboration with ML technology teams.
• Deep knowledge of product engineering, which can be in the form of API experience, iOS engineering, systems engineering, or related technologies
• Working knowledge of ML systems; the ideal candidate is able to implement product decisions based on the strengths and weaknesses of existing and upcoming AI releases.
• Strong cross-functional collaborator and communicator.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from either our SF/PA or NYC offices.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-KK6