The opportunity
WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER, autonomous agents work across the buyer journey, continuously executing on market signals and enterprise intelligence to grow revenue faster.
What you'll do
Design and deliver secure, scalable AI integration platforms that connect: enterprise systems and power mission-critical automation.
Contribute to the design and evolution of our AI integration client: ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems.
Own backend service design for high-throughput, low-latency APIs that enable: reliable agent workflows and complex cross-system orchestration.
Set technical direction for identity, auth, and trust boundaries across: integrations (OAuth, API key, service-to-service), balancing developer velocity with security and compliance.
Partner with product and cross-functional engineering leaders to shape: roadmap, define technical strategy, and translate ambiguous business goals into durable platform capabilities.
Lead production excellence through a metrics-first reliability strategy,: defining and enforcing SLOs/SLAs, maturing observability, and driving resilience, incident readiness, and performance optimization at scale.
What they're looking for
- Raise the engineering bar through architecture reviews, pragmatic design: standards, rigorous testing strategy, and mentorship of senior and mid-level engineers.
- + years of software engineering experience building and operating production: backend systems using Typescript, Deno, Node.js, or Bun; scope and leveling can flex across Senior to Staff based on architectural impact and leadership.
- Strong experience designing and shipping API-driven platform services and: distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
- Practical expertise building AI integration layers (e.g., MCP: clients/servers, tool orchestration, external API connectors, auth mediation), not just prompt or model experimentation.