Partner Solutions Engineer, Operational Excellence
Stripe · US-NYC; US-SF; US-Chicago; US-Atlanta; US-Seattle; US-Remote · 3515 Partner Engineering and Operations · listed September 25, 2026
The shape of it
Seniority
Executive
Experience asked
6+ years
Where
Hybrid
Requirements listed
10
Length
1,071 words
In the posting’s own words
The Global Partner Engineering and Operations (PE&O) team is a critical component of Stripe’s broader Global Partnerships organization and a cornerstone of our success. We are responsible for managing the technical and operational aspects of new and existing strategic product partnerships and programs. Positioned at the intersection of product, engineering, and partnerships, we serve as a vital link that fosters seamless collaboration, which is essential for Stripe’s rapid growth trajectory.
What it asks for · 10
- 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.
Also a plus
- 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.
What the job covers
- Data Analysis for Operational Insights:
- 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.
- Operational Tooling & Automation Development:
- 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.
- Data Infrastructure & Reporting:
- 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.
Degree language
- 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.
Tools and skills named
Data
- ETL2×
- Airflow
- Data modeling
- Data pipelines
- dbt
- Looker
- Power BI
- Snowflake
- Statistics
- Tableau
Go to market
- Partnerships5×
Cloud & infra
- Azure2×
- AWS
- GCP
Languages
- Go
- Python
- Ruby
- SQL
Operations & finance
- Process improvement
- Recruiting
Ways of working
- Cross-functional2×
Words the posting leans on
- data28×
- operational26×
- technical18×
- partner16×
- engineering9×
- experience9×
- operations9×
- automation6×
- requirements6×
- solutions6×
- tooling6×
- tools6×
- workflows6×
- e.g5×
- partner engineering5×
- partnerships5×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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