Principal Systems Architect

Engine
$128,600 - $200,000Hybrid

About The Position

As Principal Systems Architect for GTM & Business Systems at Engine, you'll own the end-to-end architecture of the platforms that power how we go to market — Salesforce, Tray.io, Outreach, Slack, ZoomInfo, AWS Connect, and the integration fabric that connects them to Snowflake, our product stack, and our engineering systems. You're not maintaining someone else's setup. You're designing the blueprint, shipping production-grade automation, and setting the technical standard for how GTM systems operate at scale. This is a senior individual contributor role. You architect, you build, and you ship. You partner directly with Sales, Marketing, RevOps, Product, and Engineering to translate ambiguous business problems into durable, metadata-driven systems that scale faster than headcount.

Requirements

  • 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) — including 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.
  • 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.
  • You think in data models, event flows, and contracts — not screens. You design for downstream reporting, audit requirements, and cross-system consistency.
  • 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 — and the ability to defend each call with business and technical reasoning.
  • 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, and the realities of distributed systems — eventual consistency, retries, dead-letter queues, and the difference between at-least-once and exactly-once delivery.
  • Action-biased. You ship, iterate, and don't wait for perfect specs.
  • AI-driven builder — fluent with Claude Code, Cursor, MCP servers, and AgentForce. You use AI to accelerate time-to-production on integrations, reviews, and documentation.
  • 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.

Nice To Haves

  • Experience with AgentForce, Data Cloud in production.
  • 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).

Responsibilities

  • Salesforce Platform Architecture. Own the end-to-end design of Engine's Salesforce stack — Sales Cloud, Service Cloud, Data Cloud, AgentForce, and Experience Cloud. Architect declarative-first, metadata-driven solutions (Flow, Permission Sets, TriggerAction patterns) that minimize technical debt and maximize admin velocity. Set the standard for governor limits, bulkification, sharing, and security across the org.
  • Tray.io Orchestration & Integration Layer. Architect the middleware fabric that connects Salesforce to Outreach, ZoomInfo, Snowflake, Customer.io, AWS Connect, NetSuite, and dozens of GTM tools. Own workflow design, error handling, idempotency, retries, and observability. Make the call on when to use Tray vs. native Salesforce automation vs. Apex vs. event-driven patterns through Kafka.
  • Sales Engagement & Outreach Architecture. Own the technical architecture of Outreach — sequences, triggers, mappings, ZoomInfo enrichment, and the bi-directional sync with Salesforce. Design the signal layer that drives AE/AM workflows, lead routing, and the AI-prioritized actions that show up in the Cockpit every morning.
  • Engineering & Product Interface. Serve as the technical translator between Business Systems and Engineering. Partner with Product and Engineering on event streams (Kafka, webhooks), shared data contracts, Snowflake pipelines, and the customer-facing surfaces that touch Salesforce (Help Center, EVA chat/voice, Atlas). Own the integration patterns that let GTM systems consume product data without becoming a bottleneck.
  • Slack as the GTM Control Plane. Architect Slack as the operational surface for GTM — automated pulse reports, deal alerts, approval workflows, case routing notifications, and incident response. Build Slack-native experiences (Block Kit, slash commands, modals) that move work out of inboxes and into the channels where decisions actually happen.
  • AI & Agent Architecture. Own the systems-side of Engine's AI initiatives — AgentForce design patterns, prompt and data grounding strategies, MCP server architecture, and the orchestration patterns that let agents act on Salesforce, Snowflake, and product data safely. Set the standard for how AI capabilities get deployed into production GTM workflows.
  • Sprint Execution & Communication. Manage your own backlog, prioritize with GTM and RevOps leadership, and ship on a two-week cadence. Communicate async-first. Surface blockers and design trade-offs before they become fires.

Benefits

  • Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
  • Check out our full list at engine.com/culture.
  • Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed.
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