Lead, Agentic Operations + GTM Engineering

Position: Lead, Agentic Operations + GTM Engineering Location: Boston, MA Job Id: 1209 # of Openings: 1 Job Summary Our commercial organization is built to run lean and AI‑first across Marketing, BDR, Enablement, and new vertical expansion. Today, though, our core systems — HubSpot, Salesforce, Absorb, Claude, Chat, and Groove — operate as islands, and our use of AI is a scattering of one‑off experiments. This role brings them together. You’ll build the infrastructure that connects these tools into a single, well‑governed system and turns our AI experiments into reliable, production workflows — seamless for the team, and fully controlled for leadership. The aim isn’t autonomous, black‑box AI; it’s transparent, auditable, human‑in‑the‑loop automation that leaders can trust, trace, and switch off at any time. Done well, this is the work that lets the rest of the organization stay lean and move quickly. You’re a systems builder working at the intersection of revenue and marketing operations, GTM engineering, and applied AI. You’re just as comfortable mapping an integration between Salesforce and Absorb as you are writing a prompt or sitting in a pipeline review. You think in connected systems rather than one‑off tools, you’re pragmatic about shipping and rigorous about governance and measurement, and you’re motivated by helping an entire commercial team do more with less. Essential Functions 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. What Success Looks Like Our core systems work as one connected platform, with data and actions flowing between them automatically. AI workflows run in production with full controls — approvals, audit trails, permissions, and a clear way to trace or stop any step. A working AI content and prospecting engine that the teams it serves actually use. A live attribution dashboard tied to revenue outcomes, beginning with your first 100‑day report. Measurable efficiency gains — lower cost per opportunity, faster handoffs, less manual work — that let the organization run leaner. Minimum Requirements 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. Education Bachelor’s Degree Experience 4+ years of experience EEO Statement RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Legal Notice RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment. #J-18808-Ljbffr GoTo Meeting