Role Description
You will own paid acquisition for Hops, from strategy and budget to hands-on execution in the ad accounts. You will build on an existing foundation, with accountability for pipeline and paying customers. This role calls for a founder mentality and daily work in Google Ads, Meta and X.
What you will do
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Plan, launch, and optimize paid search and paid social across Google Ads, Meta, and X, as well as other experimental channels (LLMs, Reddit, CTV).
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Control budgets, bids, targeting, creative rotation and pacing against pipeline targets.
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Improve the full conversion path from ad to landing page to sign-up to paying customer, including ad relevance, landing page experience, and Quality Score.
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Build and maintain GA4 and pixel tracking, enhanced and offline conversions, and server-side events that support campaign optimization.
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Run a documented experiment cadence across audiences, search queries, copy, creative and landing pages. Record the results and use them to decide what to scale or stop.
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Use Hops and similar AI tools daily for ad copy iteration, query analysis and reporting.
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Partner with the Marketing Director on priorities and investment decisions. Bring recommendations and push back when the evidence supports a different approach.
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Codify the paid acquisition playbook and hiring rubric. When we add a second channel hire, onboard and develop that person.
How You'll Know It's Working
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30 days:
Account audited. Wasteful spending and bad match types killed. Conversion tracking and offline import clean. First experiments shipped.
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60 days:
Campaign architecture restructured. Creative/bidding strategy and budget allocation locked to pipeline goals. CAC trend visible. Weekly read-out into the Performance Marketing cycle.
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90 days:
Channels are predictable, scaling with a documented playbook. Landing page experimentation loop running. Hiring rubric drafted if/when we add a second seat on the channel.
Qualifications
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4β8 years running paid search, with deep Google Ads, Meta and X experience for B2B SaaS or AI products and accountability for pipeline.
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Direct, hands-on media buying at scale. You have personally run campaigns with meaningful spend and owned the outcomes. Agency management alone does not meet this bar.
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Hands-on experience implementing conversion tracking and optimizing server-side events. Multi-touch attribution and value-based optimization are strong pluses.
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Fluency in ad-platform reports and BI data. You can investigate performance yourself and turn the findings into campaign decisions.
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Evidence of a consistent experimentation practice, including documented wins and their effect on pipeline.
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Daily use of AI to plan and run campaigns, with the judgment to evaluate its output.
Even better if
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You have scaled paid search from zero at a Series A company or a B2B SaaS business.
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You have worked on AI or product-led growth (PLG) products.
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You have owned landing page and ad creative experimentation alongside the ad account.
Salary Range
Compensation $120,000 - $150,000. Note: We have the flexibility to hire at different levels, which may impact the corresponding pay range.
Benefits
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Impact:
AI is reshaping how work gets done, and you'll be at the forefront of that shift, building Hops, a product that enables teams to get more done with AI.
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AI-First:
We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most.
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Ownership:
We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes.
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High Talent Density:
A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates in a flat structure where ideas win on merit, not titles.
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Remote-First:
We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working.