• Own major parts of the Managed Sync architecture — from ingestion pipelines to storage and APIs — and drive its evolution as we scale. • Design, build, and operate backend services for Managed Sync using TypeScript (NestJS), Postgres, Redis, Kafka, and Kubernetes. • Implement new syncs and integrations across file storage, document, CRM, and other SaaS APIs — including auth, pagination, rate limits, and webhooks. • Design and evolve Synced Object schemas and data models that can represent large, complex external systems in a reliable, queryable way. • Build robust batch and incremental sync flows: backfills, change tracking, retries, dead-letter handling, and idempotent processing. • Raise the bar on reliability and observability: logging, metrics, tracing, dashboards, and SLOs, and use them to guide engineering priorities. • Partner with product, design, and GTM to deeply understand customer use cases (RAG ingestion, analytics replicas, bidirectional sync) and turn them into technical designs and roadmaps. • Collaborate with the Permissions / auth teams to ensure that synced data always respects native permissions and never leaks across tenants. • Provide technical leadership: mentor other engineers, influence engineering practices, and be a go-to person for hard debugging and design decisions.

• Build and maintain core services that power integrations in production (connectors, shared integration components, and platform APIs). • Improve the developer experience for building and operating integrations: faster iteration loops, stronger tooling, clearer debugging and observability. • Design and ship resilient integration behavior: retries/backoff, rate limiting, pagination patterns, idempotency, and error handling. • Partner with product and customer-facing teams to deliver integrations that are correct, maintainable, and easy to support. • Raise quality and reliability through testing strategy, monitoring/alerting, incident learnings, and operational improvements. • Participate in an on-call rotation for production systems and contribute to incident response and postmortems.

• Developing both the front-end and back-end systems that allow users to seamlessly interact with our models • Building robust backend services and APIs for model inference, including efficient batching systems and optimization for large datasets • Implementing state management and session persistence mechanisms to maintain model context and deliver consistent user experiences • Designing and developing responsive, user-friendly frontends for model interaction, monitoring, and configuration using modern frameworks (React, Vue, or Angular) • Designing event-driven architectures with pub/sub messaging patterns to enable asynchronous processing and system scalability • Developing database connectivity layers and integration points with third-party data sources (e.g., Snowflake, Databricks) • Creating comprehensive error handling, retry mechanisms, and monitoring solutions to ensure system reliability • Collaborating with MLOps and DevOps teams to optimize the overall architecture and deployment pipeline

• Own the translation of legal complexity into technical architecture • Design and implement sophisticated agentic workflows • Work across the stack: from backend Python services to React frontend • Collaborate directly with founders and the Product Manager