Systems Architect

• ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

How we work

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

What we offer

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

About the role

We’re looking for a RevOps Systems Architect to design and build the systems behind a modern, AI-powered go-to-market engine. This isn’t a Salesforce admin role, and it isn’t a support function. You’ll be the technical owner of how our GTM stack fits together: Salesforce at the core, surrounded by the data, enrichment, engagement, billing, and AI tools our revenue teams depend on.

You’ll operate as an architect and a hands-on builder. You’ll set the technical direction for our CRM and GTM tooling, then ship it yourself with Flows, Apex, SQL, and custom services, including Salesforce MCP servers and AI tooling that make our CRM a first-class participant in AI-driven workflows. For larger efforts, you’ll partner with our engineering team, scoping, designing, and delivering together as a technical peer.

In this role, you will:

• Own the architecture of our GTM systems: the Salesforce object model and data architecture, how data moves between Salesforce and the rest of the stack, and the standards that keep it all healthy and scalable.

• Design and build integrations between Salesforce and adjacent tools (data warehouse, enrichment, sales engagement, billing/CPQ, internal apps), choosing the right tool for each problem, whether that’s native Salesforce, Apex, middleware, or custom services.

• Build and maintain automations using Flows, Apex, and custom services that power GTM processes end to end, with a bias toward solutions that are intelligent, observable, and maintainable.

• Develop and maintain Salesforce MCP servers and AI agents that extend CRM functionality into AI-powered workflows, and define how AI fits into our revenue operations over time.

• Design and own SQL-based data pipelines that feed dashboards and revenue reporting, making sure the numbers leadership relies on are trustworthy and traceable to source.

• Translate ambiguous business problems into clear technical strategy, from stakeholder conversation through design, build, rollout, and adoption.

• Raise the bar for the team: establish best practices for change management, testing, documentation, and technical debt, and mentor teammates on systems thinking.

• Partner with leaders across Sales, Marketing, Customer Success, Finance, and Engineering to prioritize the systems work with the highest business impact.

Requirements

• 8+ years in Salesforce administration and development, with a track record of owning a complex, high-growth org and its architecture, not just maintaining it.

• Strong Apex skills: you can design, build, debug, and maintain triggers, custom logic, and integrations independently, and you know when not to write code.

• Demonstrated experience integrating Salesforce with other systems via APIs, middleware, or custom services, and designing for failure modes, data integrity, and scale.

• SQL proficiency: you decompose ambiguous questions into well-structured queries and are comfortable with complex joins, aggregations, and pipeline logic.

• A systems mindset: you can hold an end-to-end GTM process in your head, trace a field from origin through every downstream dependency, and anticipate what breaks when something changes.

• Strong judgment and ownership: you scope problems yourself, make sound build-vs-buy and architecture calls, and drive projects to completion with little direction.

• Clear communicator who can explain tradeoffs to both technical and non-technical stakeholders and earn trust across teams.

• Excited by AI-native systems and curious about where Salesforce, MCP, and AI agents intersect. You’re already experimenting in this space.

Bonus:

• Familiarity with dbt or modern data transformation tooling.

• Experience with BI tools such as Sigma or Looker.