Prophecy-posted 3 months ago
$250,000 - $350,000/Yr
Full-time • Senior
San Francisco, CA
101-250 employees
Publishing Industries

Prophecy is the world's most advanced data integration platform, designed to make complex data work simple and powerful. Designed natively for modern cloud data platforms, Prophecy uniquely serves the needs of business analysts while ensuring enterprise-grade governance and compliance, giving organizations the confidence to innovate. Our AI-driven platform simplifies and automates data preparation, accelerating AI and analytics across Fortune 500 companies in banking, insurance, healthcare, life sciences, and technology. By enabling secure, self-service data transformation within a robust governance framework, Prophecy empowers every data user to develop, deploy, and monitor cloud-native data pipelines with ease. Today, Prophecy supports tens of thousands of pipelines, delivering clean, trusted, and timely data at scale to power the most demanding AI and analytics workloads.

  • Build and manage Knowledge Graphs, including entity extraction, linkage, and ontology design.
  • Integrate Knowledge Graph with AI systems for retrieval, reasoning, and agent context.
  • Lead end-to-end KG projects, from design to deployment, with leadership in cross-functional teams.
  • Develop and optimize software solutions using Python, REST APIs, and microservices in public cloud.
  • Operate and optimize neo4j or similar graph databases.
  • Take ideas to production with a builder mentality.
  • 5+ years of experience in the industry.
  • Expertise in building and managing Knowledge Graphs.
  • Experience integrating Knowledge Graph with AI systems.
  • Tech lead experience in owning end-to-end KG projects.
  • Fluency in Python, REST APIs, and microservices; some experience with Go, AWS, k8s, Java, Scala.
  • Hands-on experience with neo4j or similar graph databases.
  • Experience with ML/LLM work in code generation, semantic extraction, or knowledge graphs.
  • 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.
  • Expertise in retrieval systems or vector databases.
  • Skill in evaluating tech and driving build/buy decisions.
  • 99% of employee health insurance covered and 75% for dependents.
  • $200 per month towards wellness, gyms, massages, facials, and more.
  • Celebrate your birthday and anniversary with a day off.
  • Flexible PTO.
  • $500 professional development reimbursement every year.
  • Company sponsored Long Term Disability and Life Insurance.
  • FSA/HSA.
  • End-to-end ownership of your projects.
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