[Hiring] Engineering Manager, Data Transformation @Stripe

Role Description

As an Engineering Manager of the Data Transformation team, you'll lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You'll drive critical workstreams for the topmost priorities at Stripe around delivering high-quality, materialized datasets for Stripe products and AI agents.

Responsibilities

• Deliver infrastructure and services that scale to our users' needs with an eye on reliability and efficiency.
• Lead and manage a team of engineers, providing mentorship, guidance, and support to ensure their success.
• Work with high-visibility teams and their stakeholders to support key infrastructure engineering initiatives.
• Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet those needs.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Provide hands-on technical leadership (architecture and design, vision, direction, requirements setting, and incident response processes) for your reports.
• Work with leaders across the company to create and drive toward the longer-term vision of the Data Transformation roadmap.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
• Partner with our recruiting team to attract and hire top talent and define the overall hiring strategies for your team.

Qualifications

• 3+ years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure.
• Successfully recruited and built great teams.
• Strong customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use cases.
• Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs.
• Thrives with a high degree of autonomy and responsibility in an ambiguous environment.
• Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions.
• Encourage a healthy and inclusive work environment that's both challenging and supportive.

Preferred Qualifications

• Managed teams that shipped products to data users and operated large-scale, high-availability data transformation pipelines, with expertise in Kafka, Flink, Spark, Airflow, Python, SQL, and API design.
• A genuine enjoyment of learning and diving into the nuts-and-bolts of how things work, with the ability to question and direct architectural decisions.
• Strong written and verbal communication skills for different audiences (leadership, users, company-wide).