Lead, Agentic Operations + GTM Engineering

RevSpring•Boston, MA

2d•Onsite

About The Position

Our commercial organization is built to run lean and AI-first across Marketing, BDR, Enablement, and new vertical expansion. This role brings together core systems—HubSpot, Salesforce, Absorb, Claude, Chat, and Groove—into a single, well-governed system and turns AI experiments into reliable, production workflows. The aim is transparent, auditable, human-in-the-loop automation that leaders can trust, trace, and switch off at any time. This role is for a systems builder working at the intersection of revenue and marketing operations, GTM engineering, and applied AI. You are comfortable mapping integrations, writing prompts, and thinking in connected systems. You are pragmatic about shipping and rigorous about governance and measurement, motivated by helping an entire commercial team do more with less.

Requirements

Experience connecting GTM or commercial systems with APIs, webhooks, and orchestration platforms (e.g., Clay, Make, n8n, Zapier), building multi-tool workflows.
Hands-on experience with a modern commercial stack: CRM (Salesforce and/or HubSpot), marketing automation, and ability to quickly learn an LMS like Absorb.
Practical fluency with LLMs and prompt engineering, ideally Claude or Anthropic API, with shipped examples.
Experience building automation with controls: permissions, approval gates, human-in-the-loop checkpoints, and logging.
Working coding ability in Python, JavaScript, or similar for building, debugging, and connecting systems.
Strong RevOps instincts: understanding of funnel mechanics, attribution, pipeline math, and data discipline.
B2B SaaS or revenue-technology background, ideally with healthcare and/or financial services exposure.
Direct experience administering or integrating Absorb (or similar LMS) and Salesforce.
Experience establishing an AI or automation capability and its controls from scratch.
Comfort working independently before building a team.
Proficiency with APIs & webhooks: reading documentation, building integrations with REST and JSON, including authentication (OAuth 2.0, API keys/tokens), pagination, rate limits, and triggering/consuming webhooks.
Hands-on experience with at least one orchestration/automation platform (Make, n8n, Zapier, Clay), building multi-step flows with branching logic, error handling, and retries.
Clear understanding of CRM data models (objects, records, fields, lifecycle stages, lead-to-account relationships) and data flow between marketing automation and CRM (Salesforce/HubSpot).
Ability to write Python or JavaScript to call APIs, parse/transform JSON, and move/clean data.
Practical prompt design skills (system vs. user prompts, structured output, chaining steps), understanding of model limitations (hallucination, context windows), and ability to judge output quality.
Understanding of RevOps fundamentals: funnel stages (MQL, SQL), conversion-rate and pipeline math, attribution basics, and data hygiene for trustworthy reporting.
Clear understanding of why AI controls & governance (permissions, approval gates, human-in-the-loop checkpoints, audit trails) matter and habit of building them in from the start.

Nice To Haves

Familiarity with Claude or the Anthropic API is a strong plus.

Responsibilities

Systems integration & orchestration: Connect HubSpot, Salesforce, Absorb (LMS), Claude, Chat, and Groove into one coordinated system using APIs, webhooks, and orchestration platforms to enable data and action flow across the CRM, marketing automation, LMS, and AI layer, eliminating manual handoffs.
Governed AI workflows: Design AI workflows with permissioned access, approval gates, human-in-the-loop checkpoints, brand- and compliance-safe outputs, and complete logging, ensuring leadership can always see, trace, and stop any automation step.
AI agents & tooling: Build and maintain the AI content engine, prompt libraries, and Claude-based (and other LLM) agents for demand generation, BDR prospecting, product marketing, and enablement.
Workflow automation: Automate repetitive, high-friction work across the commercial team, including lead routing, handoffs, content assembly, reporting, onboarding and training in Absorb, and follow-up.
Measurement & attribution: Own the data for pipeline reporting, including MQL-to-SQL conversion, cost per opportunity, campaign and channel ROI, and BDR pipeline contribution, and build dashboards for leadership decision-making.
Enabling the team: Serve as the in-house expert to help Marketing, BDR, and Enablement adopt workflows and translate between commercial goals and technical execution.