GTM Engineer

WHO WE ARE:

Plug and Play Tech Center is the ultimate innovation platform, bringing together the best startups and the world’s largest corporations to create the most meaningful connections that bring innovation to anyone, anywhere. We are on a mission to bring the benefits of Silicon Valley to all four corners of the world.

WHO WE’RE LOOKING FOR:

 Reporting directly to the Growth Marketing Director, you will architect a high-velocity revenue machine that connects Marketing, Sales, and act as the strategic voice of the product. Your goal is to move the department from a reactive "client-servicing" model to a proactive, automated growth engine where demand generation is powered by AI, nurturing is always-on, and GTM decisions are backed by forensics rather than random requests.

Role Mission: To engineer the "commercial operating system" of the company.

Core Responsibilities:

Full-Funnel Architecture & AI Orchestration

The Machine Owner: Design and maintain the end-to-end data flow from Marketing inbound traffic to Sales' closed-won deals.

AI Transformation: Integrate AI agents into the GTM stack to supercharge lead nurturing, personalisation and data enrichment. You will be responsible for identifying "automation-first" opportunities that allow the team to scale its output without increasing manual overhead.

Pipeline Health: Own the conversion benchmarks. If velocity slows at the $MQL > SQL$ stage, you identify if it’s a "system bug" (routing), a "product bug" (messaging), or a "sales bug" (follow-up).

2. Commercial Governance

Service Definition: Enforce our "Marketing Service Menu" and ensure Marketing does not waste resources on unscalable custom requests from Sales.

Commercial SLAs: Help enforce the "Contract" between Marketing and Sales.

Feedback Loops: Lead the "Commercial Reality Check" - using data to show Sales and Marketing exactly where our go-to-market strategy is winning or failing.

Revenue Attribution: Architect a multi-touch attribution model in HubSpot to provide a definitive "Source of Truth" for revenue and prove the ROI of every marketing channel.

3. Product & Revenue Bridge

Commercial Feedback Loop: Synthesize CRM "Win/Loss" data into actionable insights for the Sales and Marketing team to ensure the roadmap solves repeatable customer problems.

Revenue Operations: Ensure the Sales team has the right enablement assets to sell what we actually build, preventing "over-promising" and churn.

Change management: Able to persuade Sales and Marketing teams to adopt new automated processes. Skilled in change management to navigate the cultural shift toward a systems-first commercial organization.

REQUIRED SKILLS & BACKGROUND: 

Technical Mastery

Multi-CRM Proficiency: Advanced HubSpot (or equivalent) expertise coupled with a strong working knowledge of Salesforce. You must be able to architect complex data models (Custom Objects, Relational Data) and manage the logic of multi-touch attribution across platforms.

Automation & AI Orchestration: Expert-level proficiency in middleware (Zapier, Make.com, or Tray.io) and hands-on experience using AI (e.g. Clay, OpenAI API) for automated lead enrichment, qualification, and personalization.

No-Code Engineering: A "hacker" mindset with the ability to build self-service tools and data scrapers without relying on a full-stack engineering team.

Data Integrity & Governance: Experience in setting up automated data validation and "cleansing" loops to ensure the CRM remains a reliable source of truth.

Systems Mapping: The ability to visualize and document a complex customer journey and translate it into a technical infrastructure that scales.

Professional Background

Experience: 6+ years in high-growth B2B SaaS environments, specifically within Revenue Operations (RevOps), Growth Engineering, or Sales Operations. Experience as a technical founder or leading a GTM "re-architecture" is highly valued.

Commercial Literacy: A deep understanding of the B2B sales cycle, lead-to-revenue math, and the specific friction points between Marketing, Sales, and Product.

Systems-first mindset: With the backbone to protect team bandwidth by steering stakeholders away from unscalable, manual requests and the "soft power" to drive adoption by translating complex technical processes into clear commercial benefits.