About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. 

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Experience with prompt engineering and optimization
• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:
• Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
• Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
• Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
• Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
• Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
• Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).
• Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design.
• Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM).
• ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
• Experience with big-data engines like Spark.
• Compiler development for languages like SQL, Python, or Scala.
• Optimization of ML models for low-latency, high-throughput production use.
• Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
• Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
• Skill in evaluating tech and driving build/buy decisions

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Experience: 6+ years of Software Engineering experience minimum with 2+ of these being in AI/ML

Compensation:  $250,000–$350,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

About the Team

The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. 

We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.

Key Areas of Responsibility

• Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
• Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
• Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
• Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
• Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
• Must be proficient in both TypeScript and Python
• Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
• Deep understanding of AWS Processing Framework like Step Functions
• Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
• Apply best practices for code quality, security, testing, and performance optimization.

About you

We get excited about candidates, like you, because...

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
• Strong expertise in TypeScript (Node.js) and Python.
• Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
• Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.

NIce to Have:

• Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
• Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Want to help us help others? We’re hiring! 

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.

Join us! 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. You will set technical direction for how we leverage connectivity, influence, and reputation signals to improve safety, personalization, and engagement across our ecosystem.

This is a hybrid role that requires 3 days per week at the office, and we are therefore only able to consider candidates who are located or willing to relocate to San Francisco, CA.

The Role

• 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.

You

• 8+ years of industry experience, including significant experience at senior / staff / 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.

Why you’ll love it here

• 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.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

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.

The annual U.S. salary range for this full-time position is $181,000 - $271,000. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

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. 

Global Data Privacy Notice for Job Candidates and Applicants:

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. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.