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Jellyfish

Revenue Systems Architect (AI & Automation)

Reposted 3 Days Ago
Remote or Hybrid
Hiring Remotely in Boston, MA
Senior level
Remote or Hybrid
Hiring Remotely in Boston, MA
Senior level
The Revenue Systems Architect will own and evolve the revenue systems stack, lead configuration and development, implement AI agents, oversee data governance, and collaborate with various stakeholders for technical specifications.
The summary above was generated by AI

We’re looking for someone who has already built complex Salesforce and CPQ systems—and is now asking what those systems look like when AI does half the work. If you approach every new build with AI as a starting point, not an add-on, you’ll feel at home here. This role is an individual contributor with influence and needs to have done the hard technical work—architecting Salesforce, owning integrations, scaling GTM systems—and is ready to rethink it all for an AI-first world.

Let's talk about what you'll do:

  • Own the architecture and evolution of our revenue systems stack, including Salesforce Sales Cloud, a modern CPQ solution, and billing integrations

  • Lead complex configuration and development across Apex, Lightning Web Components, and custom integrations

  • Oversee data governance, migration strategy, and system integrity across the full GTM stack

  • Build and deploy AI agents for account research, CRM hygiene, post-call follow-ups, and signal-based outbound workflows

  • Automate repetitive work across the GTM org and replace it with intelligent, auditable processes

  • Partner with Sales, Finance, Marketing, Engineering, and Security to translate strategy into technical specifications

  • Represent systems decisions directly with Finance and cross-functional leadership on data integrity and sign-off

  • Challenge existing processes. If something exists because it was the only option three years ago, ask whether it should still exist today

  • Own documentation so the organization can move without you in every room

Let’s talk about what you need to excel:

  • 7+ years in the Salesforce ecosystem with at least 2 years in an architect-level role

  • Deep hands-on experience with Salesforce Sales Cloud and CPQ implementation, customization, and production support

  • Proficiency in Apex, Lightning Web Components, SOQL, REST/SOAP API integrations, and middleware patterns

  • Proven experience deploying AI agents or AI-assisted workflows in a GTM context, shipped to production not just explored

  • Hands-on experience with Clay or comparable enrichment and automation platforms

  • Strong track record working across GTM, Finance, Engineering, and Security stakeholders, able to translate technical decisions into business language and hold your own in any room

  • Background at a high-growth B2B SaaS company that has gone through a GTM systems transformation

  • Experience replacing or restructuring legacy systems while keeping the business running

  • A clear point of view on where AI replaces human judgment in GTM workflows and where it does not, and the ability to defend it

  • Demonstrated ability to operate independently, manage competing priorities, and deliver in a fast-moving environment

A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.

Occasional travel may be required.

Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

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