Performance Marketing Lead (Google Ads)

Reposted One Month Ago
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29 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Enterprise Web • Productivity • Software
The Role
Own Google Ads end-to-end for a B2B SaaS/AI product: build campaign architecture, run weekly experiments, manage landing page conversion testing, implement measurement and attribution (enhanced/offline/server-side), report on CAC and pipeline, and document a repeatable playbook to scale the channel.
Summary Generated by Built In
The Short Version

You own Google as a paid acquisition channel for Viktor. Search, Performance Max, YouTube, the full Google ad stack - strategy, keyword and audience structure, budget, performance. You've built this machine before, at scale. Now you build it again - with better tools, more budget discipline, and no legacy to work around.

 
What's Actually Going On Here

Viktor is an AI-native product growing fast. We're standing up paid acquisition as a serious discipline as part of the paid acquisition team, and Google is one of the channels we believe in. You'll be the founding owner of it - end-to-end, no agency layer. You'll build the playbook, set the bar and scale the program.

Day-1 operator. Day-180 architect of how Viktor runs Google, using AI tooling to compound your output.

 
What You'll Actually Do
  • Own Google Ads end-to-end. Search campaign structure, keyword strategy, match-type discipline, negative keyword hygiene, PMax asset groups, YouTube where it earns its budget.

  • Run landing page and conversion path experiments alongside the ad work. Quality Score and post-click conversion are part of your job.

  • Set the experimentation cadence. Weekly tests with clear hypotheses, documented results, compounding learnings.

  • Own measurement and attribution. Enhanced conversions, offline conversion import, conversion modeling.

  • Build the keyword, audience, and asset library. The playbook compounds.

  • Report weekly on spend, CAC, pipeline contribution. Numbers, not narrative.

  • Work to build out a culture of excellence across all paid acquisition done by the team

 
The Bar

You'll be measured on pipeline and CAC from Google. Not on impression share, CTR, or campaign count. "I'd need a PPC specialist and a landing page team" is an instant no-hire. You're both.

 
How You'll Know It's Working

30 days: account audited, bad match types killed, conversion tracking clean, first experiments shipped. 90 days: Google is a predictable, scaling channel with a documented playbook and a hiring rubric for the next seat.

 
Who You Are
  • 4-8 years running paid search, with deep Google Ads experience for B2B SaaS or AI. Pipeline-accountable.

  • Direct media buyer at scale. You've worked directly on acquisition campaigns in the platform - not through an agency - with serious media spend ($1M+/month). You owned the spend and the outcome.

  • Attribution fluency. GA4 and pixel implementation, enhanced and offline conversions, server-side event optimization.

  • You think about the whole conversion path. Ad to landing page to signup to paying.

  • Documented experimentation practice. You can show the cadence and the wins from a prior role.

  • AI-native daily workflow. Claude and similar tools are core to how you work.

  • You've leveled people up before. You can take a sharp 1-2 year operator and make them dangerous.

  • You raise the bar. Your playbook becomes the house playbook.

 
Why This Role Is Different
  • No agency layer. You own the account.

  • The CMO and the co-founders care about how Viktor grows. You'll have data; they'll have opinions. The good ideas win.

  • The product makes the work easier. The right buyer converts when they land. Your job is making sure the right buyer lands.

 
Even Better If
  • You've scaled paid search from zero at a Series A or B B2B SaaS.

  • You've worked on AI or PLG products.

  • You've owned landing page experimentation alongside the ad account.

 
How we work

Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day.

We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate.

Why Viktor

We're one of the fastest-growing companies in the world. The product works. The market is pulling.

This is a rare window: everyone here owns something real. Not a task. A surface of the company that customers depend on.

That doesn't last forever. Right now, it's still true.

Compensation

Top-of-the-market salary and the kind of ownership that only exists at this stage.

The best work happens when you're in the room. Munich, New York, Dublin, and Warsaw. Remote for some roles.

Skills Required

  • 4-8 years running paid search with deep Google Ads experience for B2B SaaS or AI, pipeline-accountable
  • Direct media buyer experience owning acquisition campaigns in-platform with serious media spend (>$1M/month)
  • Attribution fluency including GA4, pixel implementation, enhanced conversions, offline conversion import, server-side event optimization
  • Experience building keyword, audience, and asset libraries and managing match types, negative keyword hygiene, and PMax asset groups
  • Hands-on landing page and conversion path experimentation experience (ad-to-signup-to-paying conversion focus)
  • Documented experimentation practice with weekly tests, hypotheses, and measured wins
  • Comfortable with data: read platform metrics, pull from BI, form views and act
  • Operator-first: daily hands-on Google Ads management, not an adjacent/managerial-only role
  • Strong cross-functional partnering skills with senior stakeholders
  • Familiarity with AI tooling for ad copy, query analysis, and reporting (e.g., Claude)
  • Multi-touch attribution and value-based optimization experience
  • Experience scaling paid search from zero at Series A/B, or working on AI/PLG products
Am I A Good Fit?
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The Company
19 Employees

What We Do

Viktor is an AI coworker and teammate integrated into Slack and Microsoft Teams. It connects to thousands of tools and leverages company context to perform real work for businesses across finance, marketing, operations, and engineering. The company is focused on building a product that can replace a large portion of the existing SaaS stack.

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