GTM AI Engineer - Data & Attribution

Description

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:

We value passionate self-starters with a growth mindset and a bias for action and personal accountability. If you love solving hard problems, thrive in ambiguity, and want to make a real impact, you’ll fit right in.

We’re especially drawn to:

Rebels with a cause — frustrated with the status quo and eager to disrupt it.

Opinionated (but not obstinate) builders — decisive yet collaborative, who help us move fast.

Clear communicators — who own their ideas and follow through.

Our mission is simple: make effective cybersecurity painless. We believe cybersecurity should empower, not burden. This belief unites our team and drives every decision we make.

If you’re ready to challenge the status quo and help shape the future of cybersecurity, we’d love to meet you.

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.

You will thrive here if you get genuinely excited building motions from scratch, about reconciling conflicting numbers across platforms, if you understand browsers and tracking well enough to explain why the discrepancy exists, and if you’d rather build a pipeline once, correctly, than patch the same spreadsheet every week.

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). Building dashboards, not just reading them.
• 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. Able to explain a tracking discrepancy to a sales rep and an attribution model to a CEO with equal clarity.
• Nice-to-Have
• Experience at an early-stage startup as the first or only data/ops hire.
• Experience with Clay (workflows, enrichment, AI columns, Claygent).
• Python scripting for data manipulation and automation.
• Experience with PostHog or similar product analytics tools.
• Familiarity with reverse ETL tooling and broader data warehousing concepts.
• HubSpot certifications (Revenue Operations, Marketing Hub, Operations Hub).
• Google Ads campaign management and conversion optimization experience.
• Why Oneleet?
• At Oneleet, you’ll join a tight-knit team of rebels redefining the cybersecurity industry. We move fast, own our work, and challenge outdated models to make security effortless and effective for companies.
• Here’s what makes us special:
• We value impact over titles, autonomy over micromanagement, and clarity over jargon.
• You’ll tackle meaningful, hard problems with real-world consequences.
• You’ll work with smart, kind, and ambitious teammates who lift each other up.

Benefits

• Comprehensive health & wellness benefits
• 20 days PTO per year, plus 8 floating holiday
• Remote work culture
• Team off-sites in stunning places (Amsterdam, Italy, etc).
• Competitive compensation & equity
• We hire globally and compensate competitively within each market using geographic pay bands. The range for this role reflects a US national baseline. Offers for candidates in higher cost-of-labor markets (e.g., San Francisco, New York, Zurich) may fall at or above the top of the posted range, while offers in other markets are benchmarked to local standards and are lower. Within any range, individual compensation is determined by work location, skills and experience demonstrated through the interview process, and relevant education or training. This posting reflects base salary only and does not include equity or benefits.
• Remote-First & Global Hiring
• We’re a remote-first company and hire globally in regions where we can legally engage talent directly or via our employer-of-record (EOR) partner. If you’re based outside the U.S., we’ll explore the most compliant hiring arrangement for your location. We make hiring decisions based on merit, skills, and potential regardless of location.
• How we use AI in this Hiring Process
• This company uses automated technology, including AI-assisted tools, to assist in reviewing applications, assessing candidate qualifications, and detecting fraudulent submissions. These tools analyze application data and identity signals to support, but not replace, human hiring decisions. All final hiring decisions are made by a human reviewer. Candidates who require accommodation or who wish to request information about how these tools are used, including requesting the bias audit results, may contact recruiting@oneleet.com. This process is conducted in compliance with applicable federal, state, and local laws.
• Notice for New York City Residents:
• You have a right to take at least 10 business days to decide whether to proceed with submitting your information through this process. By continuing, you confirm your understanding of this notice. If you choose to proceed before the 10-business-day period expires, you are making a knowing and voluntary decision to do so.