Key skills
PythonAI-based solutionsBackend systems designProduction-grade infrastructureCloud infrastructure - AWSContainerization - DockerContainer orchestration - KubernetesData lake storageMetadata managementMachine learning workloadsHigh-throughput data accessSchema evolutionLarge-scale data processingBusiness domain knowledge - FinanceBusiness domain knowledge - AccountingBusiness domain knowledge - LegalBusiness domain knowledge - SalesBusiness domain knowledge - MarketingPeople managementJudgmentAIMLData LakeAWSKubernetesDockerLeadershipMentoringSales
About this role
Pinterest is a platform that inspires creativity and innovation, and they are seeking a Business Savvy Engineering Manager to lead their Corporate IT's AI-based future. In this role, you will guide a team in designing and building solutions using AI tools to improve business operations and empower engineers.
Responsibilities:
- 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
Requirements:
- 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