Partner Solutions Engineer, Operational Excellence

Stripe • Atlanta, GA

5d • Hybrid

About The Position

As an Operational Excellence Partner Engineer within the Global Partner Engineering and Operations (PE&O) team, you will be a key driver in optimizing the efficiency, reliability, and scalability of our technical partnerships and programs. This role is focused on identifying operational bottlenecks and areas for improvement across our partner lifecycle and internal workflows. You will achieve this by leveraging data and analytics to gain deep visibility into operational performance, health, and trends. Furthermore, you will be responsible for designing and building the essential tooling and automation solutions needed to streamline processes, reduce manual effort, and proactively address operational challenges. Your contributions will directly enhance the PE&O team's ability to operate effectively at scale, ensuring a seamless experience for our partners and accelerating Stripe's mission to increase the GDP of the internet through robust and efficient technical operations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical field.
• 6+ years of experience in a role focused on data analysis, business intelligence, data engineering, or operational support with a strong technical component, preferably supporting technical or business operations teams.
• Strong proficiency in SQL for data extraction, manipulation, and analysis from complex datasets.
• Proven ability to develop tools or automate processes using scripting or programming languages (e.g., Python, Go, Ruby).
• Experience working with data warehouses (e.g., Snowflake, Redshift, BigQuery) and understanding of data modeling concepts.
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI, or similar) to create insightful dashboards and operational reports.
• Experience in identifying and troubleshooting technical or operational issues using data and technical investigation.
• Excellent problem-solving skills and the ability to translate operational challenges into technical solutions and data requirements.
• Strong communication skills with the ability to explain technical concepts and data insights to both technical and non-technical stakeholders.
• Proven ability to work collaboratively with cross-functional teams and manage multiple priorities in a dynamic environment.
• Passion for learning about current and emerging technologies in data, automation, and operational efficiency.

Nice To Haves

• Experience supporting a Partner Engineering, Technical Operations, or similar function.
• Experience with cloud-based data and automation services (e.g., AWS Glue, EMR, S3; Google Cloud Dataflow, BigQuery, Cloud Functions; Azure Data Factory, Azure Functions).
• Experience with workflow orchestration tools (e.g., Airflow, dbt).
• Familiarity with API integrations and building small-to-medium sized applications or services.
• Experience with monitoring and alerting systems.
• Familiarity with data governance principles and practices.
• Knowledge of the payments industry or financial technology.
• Experience with statistical analysis.
• Background in systems thinking and optimizing technical workflows.

Responsibilities

• Leverage data analysis to monitor the health and performance of partner integrations and operational workflows, identifying trends, anomalies, and areas for improvement.
• Translate data-driven insights into concrete operational recommendations and requirements.
• Perform root cause analysis on operational issues using data, providing clear explanations and data-backed solutions.
• Design, build, and maintain tools and automation scripts to streamline manual operational processes within the Partner Engineering and Operations team.
• Develop solutions that enhance efficiency, reduce manual effort, improve data accuracy, and increase the scalability of our partner operations.
• Identify opportunities to automate repetitive tasks across data collection, processing, and operational workflows.
• Design, build, and maintain robust and scalable data pipelines (ETL/ELT) to integrate data from various operational and technical sources.
• Develop and optimize data models to support both analytical needs and operational monitoring.
• Create and maintain dashboards and reports that provide real-time visibility into key operational metrics and system health.
• Work closely with the Partner Engineering and Operations team to understand their workflows, challenges, and tooling needs.
• Proactively identify bottlenecks and inefficiencies in existing processes using data and observations.
• Champion best practices in operational monitoring, alerting, and incident response from a data and tooling perspective.
• Serve as a key technical resource for the team, providing expertise in data, automation, and operational tooling.
• Collaborate with engineering and product teams to advocate for operational needs and integrate tooling solutions where necessary.

Benefits

• Hybrid work policy (50% office attendance per month for those within 35 miles of a Stripe office)
• Fully remote work option for those more than 35 miles from an office

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level