GTM AI Engineer - Data & Attribution

About Oneleet

Oneleet is one of the fastest-growing security and compliance platforms in history. We are on a mission to change the compliance and security industry by making cybersecurity and compliance effective, easy, and painless. We provide a platform that helps companies build, manage, and monitor their cybersecurity programs and achieve compliance standards such as SOC 2 and ISO 27001 efficiently, without cutting corners.

Having just raised a $33 million Series A, we are rapidly growing in customers and employees. Our team has decades of experience in security and compliance. Join our team of opinionated rebels and help us build a category-defining company reshaping the broken and fragmented compliance and cybersecurity industry.

Who We’re Looking For

The GTM AI Engineer - Data & Attribution at Oneleet will own the data backbone of our go-to-market motion, from first ad click to closed-won deal. You’ll work alongside our GTM Engineer, and you will have a deep focus on synthesizing funnel insights between marketing and sales. You will be responsible for gathering, analyzing, interpreting, and visualizing all of our marketing and sales data.

You will build and maintain the pipeline that pulls data from HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and our website into BigQuery as a single, trustworthy source of truth. You will be the person who can explain, with certainty, why HubSpot says one number and Google Ads says another, and which one to believe. You will turn that clean data into dashboards executives actually use, and into account intelligence that makes our ABM and outbound motions sharper.

Key Responsibilities

• Data gathering & Pipeline Ownership: Design, build, and manage our data pipeline in BigQuery, unifying data from HubSpot, Dreamdata, Google Ads, LinkedIn, PostHog, and the website into one reliable source of truth. Document the pipeline so it scales beyond you and survives tool changes.
• Attribution & Tracking: Maintain deep, working knowledge of how browsers work, how data is sent, and how cookies, JavaScript, and (server-side) GTM are used. Investigate and resolve discrepancies between platforms and explain why to stakeholders, not just report the gap.
• Dreamdata & Revenue Attribution: Configure and continuously refine Dreamdata to model the full prospect journey, anonymous visitor to closed-won. Use Dreamdata to determine which channels and campaigns are actually generating pipeline. Partner with sales and marketing to translate Dreamdata insights into budget and channel decisions.
• Visualization & Reporting: Build and maintain a clear, executive-facing dashboard (Looker/Looker Studio) showing the performance by channel: spend, leads, meetings, pipeline, and closed-won. Ensure dashboards answer "where is revenue actually coming from?" at a glance, with the ability to drill into any channel or campaign. Keep reporting logic consistent with the underlying attribution model so numbers don’t silently diverge.
• ABM with Clay & AI: Design and run an ABM strategy grounded in our ICP, using Clay to enrich and score accounts, layering in firmographic, intent, and behavioral signals. Leverage AI to personalize messaging at scale in a way that actually gets replies.

Requirements

General

• 5+ years in GTM operations, revenue operations, marketing operations, or analytics engineering at a B2B SaaS company, with hands-on ownership of marketing/sales data infrastructure.
• Scientific mindset of experimentation, creating and testing hypotheses.
• Love of working on new platforms that help automate and enhance channel performance.
• Knowledge of how to simplify and act on findings.

Technical

• Strong SQL skills and hands-on experience building and maintaining pipelines in BigQuery (or a comparable warehouse).
• Experience building GTM relevant Claude skills that scale.
• Deep understanding of how browsers, cookies, JavaScript, and tracking pixels work. Able to diagnose why numbers differ across platforms, not just flag that they do.
• Hands-on experience with Google Tag Manager, including server-side GTM and data layer configuration.
• Experience with Dreamdata or a comparable B2B attribution platform (Bizible, HubSpot Attribution, etc.).
• Hands-on HubSpot experience (CRM, Marketing Hub, Operations Hub): workflows, custom objects, data sync.
• BI tool proficiency (Looker / Looker Studio, Tableau, or similar).
• Working knowledge of APIs, webhooks, and data integration patterns across platforms not designed to talk to each other.

Strategic

• Deep understanding of B2B SaaS funnels, buyer journeys, and revenue metrics (MQL, SQL, pipeline, win rate, CAC, LTV).
• Experience designing and implementing UTM strategies and multi-touch attribution models.
• Understanding of ABM fundamentals: ICP definition, account scoring, and personalized outbound at scale.
• Cross-functional communication skills.

Perks & Benefits

• Comprehensive health & wellness benefits
• 20 days PTO per year, plus 8 floating holidays
• Remote work culture
• Team off-sites in stunning places (Amsterdam, Italy, etc.)
• Competitive compensation & equity