GoFundMe
Staff Software Engineer, Social Graph
GoFundMe, San Francisco, California, United States, 94199
About GoFundMe
GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.
Position Summary We are seeking a
Staff Software Engineer
with deep expertise in
graph theory, graph-based systems, and large-scale social graph infrastructure . In this role, you will serve as a technical leader driving the architecture, implementation, and scaling of our social graph platform—powering trust, recommendations, user discovery, and other core product experiences. You will collaborate closely with Data Science, ML, Product, and Infrastructure teams to design graph representations, build ingestion and transformation pipelines, and deploy graph-backed models at massive scale.
Responsibilities
Serve as the technical lead for initiatives related to social graph modeling, storage, retrieval, and computation.
Architect and scale graph databases and graph query systems capable of supporting billions of nodes and edges with low‑latency performance.
Design and ship pipelines for ingesting, cleaning, and transforming social and behavioral data into graph structures.
Partner with ML teams to productionize graph-based features, including embeddings, similarity signals, trust metrics, and GNN‑powered ranking features.
Lead the development of graph-informed recommendation, trust, and safety systems, ensuring models reflect real-world connectivity patterns.
Define and implement feature engineering strategies leveraging graph topology (e.g., mutual connections, influence scoring, community structure).
Contribute to architecture decisions related to streaming systems (Kafka, Flink, Spark Streaming) and real-time graph updates.
Mentor engineers and guide best practices on graph design, distributed systems, feature computation, and ML integration.
Collaborate with Product to translate graph capabilities into business-impacting features that drive trust, engagement, and discovery.
Ensure reliability, scalability, observability, and data quality in all graph-related systems.
Qualifications (You)
8+ years of industry experience, including significant experience at senior, staff, or principal levels.
Demonstrated expertise launching and scaling graph-based applications in production.
Deep understanding of graph theory, graph algorithms (e.g., traversal, clustering, centrality), and modern graph data structures.
Expert‑level experience with graph databases (Neo4j, TigerGraph, JanusGraph, DGL‑backed systems, etc.) and efficient graph querying.
Proven ability to design high‑scale pipelines for ingesting and transforming social or behavioral data.
Experience with distributed streaming frameworks (Kafka, Flink, Spark Streaming).
Hands‑on experience incorporating graph-derived features into recommendation, ranking, trust, or safety models.
Familiarity with Graph Neural Networks (GNNs), graph embeddings, or graph-based ranking systems.
Strong product intuition and ability to articulate how graph systems drive business outcomes.
Ability to influence architectural direction and mentor teams.
Preferred
Experience supporting real-time or near-real-time graph updates.
Background in large social networks, marketplaces, trust & safety, or other graph-heavy domains.
Track record of cross-functional technical leadership.
Publications, patents, or open-source contributions in graph algorithms, GNNs, or infrastructure.
Benefits
Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time‑off policies, and mental health and wellness resources to support your overall well‑being.
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
Community Engagement: Make a difference through our volunteering program.
Salary The total annual salary for this full‑time position is $181,000 – $271,000 + equity + benefits. As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.
Equal Employment Opportunity GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
Accommodation If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.
Privacy Notice Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
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Position Summary We are seeking a
Staff Software Engineer
with deep expertise in
graph theory, graph-based systems, and large-scale social graph infrastructure . In this role, you will serve as a technical leader driving the architecture, implementation, and scaling of our social graph platform—powering trust, recommendations, user discovery, and other core product experiences. You will collaborate closely with Data Science, ML, Product, and Infrastructure teams to design graph representations, build ingestion and transformation pipelines, and deploy graph-backed models at massive scale.
Responsibilities
Serve as the technical lead for initiatives related to social graph modeling, storage, retrieval, and computation.
Architect and scale graph databases and graph query systems capable of supporting billions of nodes and edges with low‑latency performance.
Design and ship pipelines for ingesting, cleaning, and transforming social and behavioral data into graph structures.
Partner with ML teams to productionize graph-based features, including embeddings, similarity signals, trust metrics, and GNN‑powered ranking features.
Lead the development of graph-informed recommendation, trust, and safety systems, ensuring models reflect real-world connectivity patterns.
Define and implement feature engineering strategies leveraging graph topology (e.g., mutual connections, influence scoring, community structure).
Contribute to architecture decisions related to streaming systems (Kafka, Flink, Spark Streaming) and real-time graph updates.
Mentor engineers and guide best practices on graph design, distributed systems, feature computation, and ML integration.
Collaborate with Product to translate graph capabilities into business-impacting features that drive trust, engagement, and discovery.
Ensure reliability, scalability, observability, and data quality in all graph-related systems.
Qualifications (You)
8+ years of industry experience, including significant experience at senior, staff, or principal levels.
Demonstrated expertise launching and scaling graph-based applications in production.
Deep understanding of graph theory, graph algorithms (e.g., traversal, clustering, centrality), and modern graph data structures.
Expert‑level experience with graph databases (Neo4j, TigerGraph, JanusGraph, DGL‑backed systems, etc.) and efficient graph querying.
Proven ability to design high‑scale pipelines for ingesting and transforming social or behavioral data.
Experience with distributed streaming frameworks (Kafka, Flink, Spark Streaming).
Hands‑on experience incorporating graph-derived features into recommendation, ranking, trust, or safety models.
Familiarity with Graph Neural Networks (GNNs), graph embeddings, or graph-based ranking systems.
Strong product intuition and ability to articulate how graph systems drive business outcomes.
Ability to influence architectural direction and mentor teams.
Preferred
Experience supporting real-time or near-real-time graph updates.
Background in large social networks, marketplaces, trust & safety, or other graph-heavy domains.
Track record of cross-functional technical leadership.
Publications, patents, or open-source contributions in graph algorithms, GNNs, or infrastructure.
Benefits
Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time‑off policies, and mental health and wellness resources to support your overall well‑being.
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
Community Engagement: Make a difference through our volunteering program.
Salary The total annual salary for this full‑time position is $181,000 – $271,000 + equity + benefits. As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.
Equal Employment Opportunity GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
Accommodation If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.
Privacy Notice Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
#J-18808-Ljbffr