Engineering Manager II, Enterprise AI Solutions

We are looking for a Business Savvy Engineering Manager to help define the future of Corporate IT’s ai based future at Pinterest. Working closely with cross-functional engineering teams and business leaders you’ll lead a nimble team playing a pivotal role in scaling Corporate IT’s engineering department. You will guide your team in designing and building the solutions that make our business partners jobs easier, faster and more capable. You will grow and empower engineers while shaping how we build Pinterest's AI future.

What you'll do:

• Lead a team of employees and contractors focused on solving business problems using AI tools. 
• Work closely with the existing software engineering teams to develop a seamless and low friction client experience.
• Mentor junior engineers to help them grow and develop into the best that they can be.
• Motivate and lead your team to show up every day and do their best work.
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
• Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality

What we're looking for:

• 2+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
• 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.
• Proficiency in designing and delivering AI based solutions that solve real world business problems.
• Understanding of business unit challenges and problems, Focused on Finance, Accounting, Legal, Sales and Marketing.
• Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
• Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.
• Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

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 1-2 times/quarter, and therefore can be situated anywhere in the country. 

Relocation Statement:

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

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