Engineering Manager II, Enterprise AI Solutions

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a Business Savvy Engineering Manager to help define the future of Corporate ITs ai based future at Pinterest. Working closely with cross-functional engineering teams and business leaders youll lead a nimble team playing a pivotal role in scaling Corporate ITs 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 Pinterests AI future.

What youll 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 were 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 were 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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