Engine - Principal Systems Architect

• Technical Depth • 8+ years architecting Salesforce at scale — Sales Cloud, Service Cloud, Flow, Apex, LWC, Experience Cloud, and Data Cloud. You've designed for governor limits, multi-cloud sharing, and complex sObject models, not just configured out of the box. • Deep, hands-on experience with Tray.io (or equivalent: Workato, Mulesoft, n8n) — workflow design patterns, error handling, callable workflows, and high-volume orchestration across millions of records. • Production experience with Outreach architecture — triggers, sequences, plugins, ZoomInfo enrichment, and Salesforce sync. • Strong working knowledge of Slack as a platform — Block Kit, slash commands, event subscriptions, and Slack-native workflow design. • Hands-on experience building on Claude (or an equivalent frontier LLM) in production — model selection, prompt design, tool use, evals, prompt caching, structured outputs, and the cost/latency tradeoffs that come with running agents at scale. • Hands-on experience building on Claude (or an equivalent frontier LLM) in production • Real reps with multi-agent / agent-to-agent orchestration — capability discovery, task delegation, handoff protocols, shared state, and the patterns that keep multi-agent systems debuggable when something goes sideways. • Real reps with multi-agent / agent-to-agent orchestration • Proven experience integrating GTM systems with data warehouses (Snowflake), event streams (Kafka, webhooks), and product systems — REST/SOAP APIs, event-driven architecture, and idempotent design. • Systems Thinking & Integration • You think in data models, event flows, and contracts — not screens. You design for downstream reporting, audit requirements, and cross-system consistency, including the contracts agents rely on. • Comfortable owning the full integration lifecycle: requirements, API review, sandbox, production deployment, observability, and post-launch optimization. • Strong instincts on clicks vs. code, declarative vs. programmatic, Tray vs. Apex vs. Kafka vs. agent — and the ability to defend each call with business and technical reasoning. • Engineering Collaboration • You speak the language of Product and Engineering. You read PRDs, review code, comment in GitHub PRs, and hold your own in architecture reviews. • Hands-on with version control, sandbox strategy, CI/CD for Salesforce (sfdx, scratch orgs, metadata deployments), and modern DevOps patterns. • Familiar with event-driven patterns, message queues, MCP servers, and the realities of distributed systems — eventual consistency, retries, dead-letter queues, and the difference between at-least-once and exactly-once delivery. • Speed & Execution • Action-biased. You ship, iterate, and don't wait for perfect specs. • AI-driven builder — fluent with Claude Code, Cursor, MCP servers, and the Anthropic API. You use AI to accelerate time-to-production on integrations, reviews, and documentation, and you have strong opinions on where it does and doesn't belong. • Communication • Tight, clear async writer — design decisions, blockers, and risk flags without being prompted. • Shows up to syncs with recommendations, not status. • Escalates early and with proposed solutions. • Translates technical architecture into business impact language for Sales, RevOps, Marketing, and CX leadership. • Bonus • Shipped multi-agent systems or production MCP servers at meaningful scale. • Contributed to open-source MCP servers, A2A implementations, or agent frameworks. • Background building AI SDR, lead scoring, or account prioritization systems. • Experience architecting call intelligence and conversational AI platforms (Attention, Gong, AWS Connect, Twilio). • Previous experience as the bridge between Business Systems and Engineering at a high-growth, venture-backed company. • Salesforce certifications (Platform Developer II, Application Architect, System Architect, or CTA-track). • Applications for this role will be accepted through October18th, 2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. • CompensationOur compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process.