Marketing Operations Engineer

Department: AI & Data Science

Employment Type: Contract

Location: AMER - Flexible Locations

Description

Role Title: Go-to-Market (GTM) Engineer


(sometimes called Marketing-Ops Engineer, Growth Automation Engineer, or Forward-Deployed GTM Engineer)


We’re building a self-optimising, AI-driven top-of-funnel that can grow pipeline without growing headcount. The GTM Engineer is the technical linchpin who:

1. Connects marketing, data, and sales systems into one adaptive loop.
   
   
   
2. Automates every buyer touchpoint—from first click to meeting booked.
   
   
   
3. Surfaces clear, actionable data back to Sales so they walk into calls primed for success.
   
   

Area | What you’ll do (examples):

System Architecture | Map and integrate the full funnel: ad platforms / web → enrichment → nurture → routing → calendar booking.
Automation & Tooling | Orchestrate first-party and third-party tools via APIs, webhooks, or no-code platforms.
Marketing Operations | Own campaign automation, lead scoring, data hygiene, and attribution logic.
Sales Enablement Loops | Push intent scores, next-best actions, and automated follow-ups into sales engagement platforms.
Experimentation | Implement rapid tests—copy, channel, cadence—and feed results to models for continuous learning.
Data & Reporting | Define key events and dashboards that track funnel efficiency and surface anomalies.
Collaboration & Enablement | Act as player-coach: build initial solutions, document them, and upskill teammates. Domain | Indicators you have the chops:

Marketing Automation | Hands-on with platforms like Marketo, HubSpot, or Braze. You’ve built multi-step nurtures, lead scoring, and routing rules.
Revenue-Ops Data Flow | Comfortable designing objects and workflows in CRMs such as Salesforce or HubSpot.
API & Integration | Ability to script in Node.js / Python or wield no-code tools (Zapier, n8n, Clay) to connect REST/GraphQL endpoints.
AI & Conversational Tech | Practical experience using LLMs, chatbots, or enrichment platforms (e.g., Drift, Conversica, Clay, OpenAI/Gemini) to improve funnel performance.
Startup Execution | Track record of shipping v1 solutions quickly, iterating based on feedback, and prioritising impact over polish.
Solution Orientation | You turn ambiguous growth problems into shipped workflows—even if that means learning a new tool on Monday and launching by Friday.
(You don’t need all of these—think of them as the palette you’ll paint with.)

• Core CRM / MAP: Salesforce, HubSpot, Marketo, LeanData
  
  
  
• Sales Engagement: SalesLoft, Outreach, Groove
  
  
  
• AI & LLM Platforms: OpenAI, Gemini/AI Studio, LangChain, Clay
  
  
  
• Automation & Orchestration: Zapier, n8n, Workato, Cursor
  
  
  
• Data & Scoring: MadKudu, Pecan, Segment, Snowflake
  
  
  
• Scheduling & Comms: Calendly, Drift, Conversica, WhatsApp API
  
  
  
  

• Buyers get instant, relevant responses 24/7.
  
  
  
• Sales receives calendar-booked, high-intent meetings (not raw leads).
  
  
  
• Funnel performance improves continually because the system learns from every interaction.
  
  
  
• Stakeholders have clear visibility into what’s working—and why.
  
  

• Builder’s mindset: You enjoy prototyping, shipping, and refining in fast cycles.
  
  
  
• Cross-functional: You’re equally happy talking data models with RevOps and subject lines with Marketing.
  
  
  
• Ownership: You thrive on end-to-end responsibility for outcomes, not just tasks.
  
  
  
  

Share a brief story, Loom, or deck that shows:

1. A funnel or workflow you automated.
   
   
   
2. The metrics it moved (e.g., speed-to-lead, meeting volume).
   
   
   
3. The stack you used and why.
   
   
   
   

How to stand out during the process

Share a brief story/project, Loom, or deck that shows:

1. A funnel or workflow you automated.
   
   
   
2. The metrics it moved (e.g., speed-to-lead, meeting volume).
   
   
   
3. The stack you used and why.