2 months ago
Responsibilities
- Prototype technical solutions and architect the core Context Platform.
- Design schemas and primitives for Decision Memory and enterprise context.
- Own graph, vector, and event/time-based context storage systems.
- Build read/write/query APIs for agents, products, and external applications.
- Design permission-aware and auditable context access.
- Ensure the context engine is interoperable, portable, and designed to avoid vendor lock-in.
- Own context schemas, schema evolution, storage and data modeling choices, platform interfaces, security, identity propagation, audit foundations, scalability, and data correctness.
- Partner with agentic systems engineers and product leadership.
Requirements
- Significant experience building distributed systems, data platforms, or infrastructure.
- Deep expertise in data modeling and schema design.
- Experience designing shared platforms used by many teams.
- Strong understanding of APIs, contracts, and backward compatibility.
- Ability to reason about complete systems rather than only individual components.
- Comfort working in ambiguous, greenfield problem spaces.
- Preferred experience with knowledge graphs, metadata systems, or search/retrieval systems.
- Preferred experience building systems with governance, auditability, or compliance requirements.
- Familiarity with dbt, modern analytics stacks, or developer tooling is a bonus.
Benefits
- 100% employer-paid medical insurance, subject to country and worker type
- Generous paid time off, paid sick time, inclusive parental leave, holidays, and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Company virtual happy hours, free food, and team-building activities
- Monthly cell phone stipend
- Mental health support platform with therapy, coaching, and self-guided mindfulness resources
- Hybrid work arrangement
Tech Stack
dbt
Categories
BackendData Engineering
About Fivetran
Fivetran, the global leader in data movement, helps customers use their data to power everything from AI applications and ML models, to predictive analytics and operational workloads. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination – whether deployed on-premises, in the cloud or in a hybrid environment. Thousands of global brands, including Autodesk, Condé Nast, JetBlue and Morgan Stanley, trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and power innovation.