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.

Role Overview

ID.me is seeking a Principal Tech Lead Manager (TLM) to lead the engineering teams responsible for two foundational platform domains: the Organization Platform and the Data Acquisition & Normalization team. Together, these teams define how organizations are represented, validated, and trusted within ID.me's Identity Trust Graph — and how the attribute data powering those trust decisions is acquired, normalized, and kept current.

The Organization Platform team owns the APIs and services that create, validate, and manage organization records, applications, domain verification, business onboarding, and org-to-org relationships. This is the authoritative source of truth for how businesses and institutions are represented across ID.me's ecosystem — powering developer portal adoption, partner integrations, and downstream identity workflows.

The Data Acquisition & Normalization team is the execution arm of the Identity Trust Graph — building and operating connectors to authoritative and commercial data sources (government registries, telcos, licensing authorities, commercial data providers), normalizing heterogeneous data into clean schemas, and feeding validated attributes into the trust graph at internet scale.

As a TLM at the Principal level, you will be accountable for the technical architecture, delivery, reliability, and operational health of both platforms, as well as the growth and performance of the engineers delivering them. You will partner closely with Product, Security, Compliance, and enterprise stakeholders to drive a roadmap that balances velocity with the rigor these domains demand.

This position will be based full-time in our Mountain View, CA office five days per week.

Key Responsibilities

• Define and evolve the technical architecture for the Organization Platform — including Organizations API, Applications API, Domain Validation, Business Onboarding, RBAC, AI-driven org validation, and workflow engine services.
• Own the architecture and operational strategy for the Data Acquisition & Normalization platform — including source connectors, normalization pipelines, and validation event delivery to downstream consumers.
• Champion API-first, platform-first design across both teams — ensuring services are developer-friendly, well-documented, versioned, and built for long-term interoperability.
• Drive roadmap delivery across both teams — setting priorities, removing blockers, and ensuring high-quality, well-tested software ships on time.
• Build a team culture of ownership, technical rigor, continuous improvement, and high-quality code.
• Mentor senior and staff engineers, developing the next generation of technical leaders within the org.
• Serve as the technical bridge between Engineering, Product, Legal/Compliance, Security, and enterprise customer teams across both domains.
• Provide technical input into team and org-level planning, influencing roadmap prioritization based on platform capabilities and constraints.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 10+ years of software engineering experience, with at least 3 years in an engineering management or tech lead manager capacity leading teams of 5–10+ engineers.
• 5+ years of experience building and operating secure, scalable backend APIs and distributed systems (Java, Go, Ruby, Python, or similar).
• 5+ years of experience building and operating data pipelines, API integrations, or ETL/normalization systems at scale.

Preferred Qualifications

• Master's degree in Computer Science or a related technical field.
• Deep familiarity with data privacy, security, and compliance considerations in products that handle sensitive personal or organizational data.
• Proven track record collaborating cross-functionally with Product, Legal/Compliance, Security, and business stakeholders to deliver complex programs.
• Strong communication skills with the ability to represent engineering decisions clearly to both technical and non-technical audiences.
• Experience building or managing organization identity, business verification, or entity attribute platforms at scale.
• Familiarity with data acquisition patterns including screen scraping, REST/SOAP integrations, batch data flows, and normalization pipelines.
• Experience with AI-driven validation, profiling, or classification systems integrated into production data pipelines.
• Hands-on experience with OAuth2, OpenID Connect, SAML, and enterprise SSO in the context of B2B integrations or developer onboarding.
• Experience with graph databases (e.g., Neo4j) and modeling entity-attribute relationships at scale.
• Experience with cloud-native infrastructure (AWS, GCP, or Azure), container orchestration (Kubernetes, GKE), and infrastructure-as-code.
• Bonus: Experience at a FinTech, identity, data aggregation, or developer platform company (e.g., Plaid, Yodlee, Okta, Twilio).

About ID.me

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

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

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

The OS Core Team at PsiQuantum works closely alongside engineers and scientists in the electronics, system architecture, and validation teams and is responsible for building the scalable, distributed, fault-tolerant control plane and operating system for utility scale photonic quantum computers. Our team is responsible for orchestration, scheduling, kernel architecture, co-design, calibration, validation, providing abstractions, systems, and operating software for the immense heterogenous fabric of co-processors, networks, and photonics that are critical to the success of our company’s goal of building the world’s first useful quantum computer. As a Senior Software Engineer, Calibration & Control you will design and implement algorithms, controls, and software that keep our quantum processors in spec 24×7x365. 

Responsibilities:

The core of our system revolves around a high performance, scalable graph database which contains critical information to control and manage PsiQuantum computing systems. Your role is to scale and extend the current core database systems to support the massive increase in size complexity of our systems.  

Daily functions: 

Data systems design and implementation. 
Participate in design and code reviews. 
Collaborate across software, hardware, and research teams at PsiQuantum. 
Testing and maintenance of database software. 
Champion and serve as an exemplar of good software development practices at PsiQuantum. 

Experience/Qualifications:

15+ years experience with Python or C++ in a system software context. 
Design and implementation of large scale distributed storage systems, emphasis on graph databases. 
Proven track record of developing and shipping reliable, performant software in a high scale or mission critical context. 
Bachelors degree in a technical discipline preferred, or equivalent experience.   

Ways to stand out: 

Experience in graph database systems such as Nebula, neo4j, Gravlax. 
Experience in high performance computing and data design. 
Experience in computer architecture. 
Experience in high performance networking. 
Experience with highly scalable distributed systems in a reliability and up-time critical environment. 
PhD in a related technical discipline is a plus but not required. 

[We are open to adjusting the compensation to experience level]

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

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.

About the opportunity

We are looking for a passionate Senior Software Engineer to join Veza’s Graph team. You will play a key role in designing, improving, and maintaining the robust and scalable code behind the Veza Access Graph, collaborating closely with cross-functional teams to shape the future of our products and deliver exceptional identity and access management experiences to our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact startup while working on cutting-edge technologies! 

You Will:  

• Develop, maintain and scale Graph features to directly and indirectly support actionable customer intelligence across various products.
• Drive the performance, scalability, and reliability of the backend services and APIs for our platform.
• Collaborate with product managers, other software engineers, and security experts to build product features that meet business objectives and security standards.
• Continuously optimize and improve your work through code and design reviews, testing, and refactoring.
• Implement logging, monitoring, and auditing capabilities to ensure visibility and compliance with regulatory requirements and operational health metrics.
• Stay current with industry trends and emerging technologies across different fields and leverage them to drive innovation and improve our platform.

You Have:

• Education:
• A bachelor's or master's degree in computer science, engineering, or a related field.
• Experience:
• Proven experience (minimum 5+ years) in professional backend software development with a focus on data modeling, data management, identity, security, or related areas.
• A history with the development of databases, storage layers, query engines or adjacent tooling.
• Experience with complex relational data models in OLAP systems and/or graph database systems such as Neo4j.
• Deep knowledge of relational algebra and graph algorithms.
• A familiarity with caching mechanisms and distributed systems.
• A proven ability to develop and test code in one or more modern backend programming languages such as Golang or Kotlin.
• Experience designing and implementing RESTful APIs in microservice architectures.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.

You Are:

• An excellent problem-solver with high attention to detail.
• Someone who can work both independently and collaboratively in a fast-paced environment.
• A strong communicator with the ability to relate technical concepts to both technical and non-technical stakeholders.
• A mentor who helps others become the best versions of themselves.
• A pleasure to work with!