Job Summary:
RevSpring is focused on integrating AI into their commercial operations, and they are seeking a Lead for Agentic Operations and GTM Engineering. This role involves building infrastructure to connect various systems and automate workflows while ensuring governance and measurement of AI processes.
Responsibilities:
• Systems integration & orchestration — your core focus. Connect our existing stack — HubSpot, Salesforce, Absorb (LMS), Claude, Chat, and Groove — into one coordinated system. Using APIs, webhooks, and orchestration platforms, you’ll make data and actions flow across the CRM, marketing automation, the LMS, and the AI layer, so a process can run from trigger to AI step to system-of-record update without manual handoffs. Everything else is built on top of this.
• Governed AI workflows. Design AI workflows that are controlled by default: permissioned access, approval gates, human-in-the-loop checkpoints, brand- and compliance-safe outputs, and complete logging. Leadership should always be able to see what an automation did, trace why, and stop any step. Control is built in, not bolted on.
• AI agents & tooling. Build and maintain the AI content engine, prompt libraries, and Claude-based (and other LLM) agents that power demand generation, BDR prospecting, product marketing, and enablement.
• Workflow automation. Find the repetitive, high-friction work across the commercial team — lead routing, handoffs, content assembly, reporting, onboarding and training in Absorb, and follow-up — and automate it from end to end.
• Measurement & attribution. Own the data behind pipeline reporting: MQL-to-SQL conversion, cost per opportunity, campaign and channel ROI, and BDR pipeline contribution. Build the dashboards leadership uses to decide where to invest.
• Enabling the team. Be the in-house expert who helps Marketing, BDR, and Enablement adopt these workflows, and who translates between commercial goals and technical execution.
Qualifications:
Required:
• Experience connecting GTM or commercial systems with APIs, webhooks, and orchestration platforms (such as Clay, Make, n8n, or Zapier) — building workflows across multiple tools, not one-off fixes.
• Hands-on experience with a modern commercial stack: a CRM (Salesforce and/or HubSpot), marketing automation, and the ability to get up to speed quickly on an LMS like Absorb.
• Practical fluency with LLMs and prompt engineering — ideally Claude or the Anthropic API — with real examples you’ve shipped.
• A control-and-governance mindset, with experience building automation that includes permissions, approval gates, human-in-the-loop checkpoints, and logging.
• Working coding ability in Python, JavaScript, or similar — enough to build, debug, and connect systems.
• Strong RevOps instincts: funnel mechanics, attribution, pipeline math, and the data discipline behind them.
• A B2B SaaS or revenue-technology background, ideally with exposure to healthcare and/or financial services.
• Direct experience administering or integrating Absorb (or a similar LMS) and Salesforce.
• Experience standing up an AI or automation capability — and its controls — from scratch.
• Comfort working as a team of one before building a team.
• APIs & webhooks: comfortable reading API documentation and building integrations with REST and JSON, including authentication (OAuth 2.0, API keys and tokens), pagination, and rate limits, plus triggering and consuming webhooks.
• Orchestration & automation platforms: hands-on with at least one of Make, n8n, Zapier, or Clay, building multi-step flows with branching logic, error handling, and retries — not just single-trigger automations.
• CRM data models: a clear understanding of how CRMs structure data — objects and records, fields, lifecycle stages, and lead-to-account relationships — and how data moves between marketing automation and the CRM in Salesforce and/or HubSpot.
• Scripting: the ability to write Python or JavaScript well enough to call an API, parse and transform JSON, and move or clean data. Engineering polish isn’t required; self-sufficiency is.
• LLMs & prompt engineering: practical prompt design (system versus user prompts, structured output, and chaining steps), a realistic sense of model limits such as hallucination and context windows, and the ability to judge output quality. Familiarity with Claude or the Anthropic API is a strong plus.
• RevOps fundamentals: funnel stages and definitions (MQL, SQL), conversion-rate and pipeline math, attribution basics, and the data hygiene that keeps reporting trustworthy.
• AI controls & governance: a clear sense of why permissions, approval gates, human-in-the-loop checkpoints, and audit trails matter — and the habit of building them in from the start.
• Bachelor’s Degree
• 4+ years of experience
• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Company:
RevSpring is a provider of revenue cycle technology services offering data analytics, multi-channel customer communications. Founded in 1997, the company is headquartered in Wixom, USA, with a team of 501-1000 employees. The company is currently Late Stage.