Paid / Performance Marketing Specialist

About Leena AI

Leena AI is an enterprise agentic AI platform that ships pre-built, pre-trained, and pre-integrated "AI Colleagues" for the back office. Our flagship product, AI Colleague Studio, deploys autonomous AI colleagues that handle HR, IT, and finance workflows for the world's largest enterprises. We grew nearly 4x last year and are backed by top-tier investors. We've been named a Gartner Leader three years running and today we power 20M+ employees across 500+ global enterprises. Enterprise AI is being adopted faster than any prior wave of software. This role puts your hands on the channels where that demand gets bought.

The Role

You run Leena AI's paid media engine, reporting to the Director / Sr. Director of Demand Generation. Your number is efficient pipeline from paid — you own the spend, the targeting, and the optimization loop that turns budget into qualified pipeline at a CAC the business can defend.

This is a high-ACV motion. We sell enterprise deals of $100K+ ACV into large organizations, not low-ticket volume. Success is measured in qualified enterprise pipeline and opportunities from named accounts — not raw lead count or cheap MQLs. Your job is to buy the attention of a small, high-value buying set efficiently, not to maximize lead volume.

You're the person in the ad platforms every day: building campaigns, reading the data, killing what doesn't work, and doubling down on what does. You partner closely with the ABM and content programs to give named-account plays paid air cover, and with Marketing Ops to make sure every dollar is tracked from click to pipeline.

What You Own

• Paid Media Execution — LinkedIn, Google (Search + PMax), SEO/SEM support, Reddit, retargeting, and paid syndication. You build, launch, and optimize campaigns end-to-end, and you earn each channel's place on ROI — not habit.
• Budget Pacing & Efficiency — Own day-to-day pacing of the paid budget against targets set with the Director. Reallocate spend weekly based on CPL, CAC, and pipeline contribution by channel and campaign.
• ABM Paid Support — Execute the paid layer of account-based programs targeting high-ACV named enterprise accounts ($100K+ deals) — audience builds from target-account lists, 1:few and 1:many air cover, and account-level tracking in partnership with the ABM lead. Optimize toward account engagement and enterprise pipeline, not low-ACV lead volume.
• Conversion Optimization — Partner on landing pages, forms, and offers to lift conversion from click to MQL. Run structured tests on creative, audience, and offer; document what wins.
• Tracking & Attribution — Own UTM discipline, conversion tracking, pixel/tag setup, and clean handoff of paid data into the attribution model. If a paid dashboard doesn't exist, build it.
• Ad Creative & Copy Velocity — Produce and iterate ad variants at high volume — headlines, hooks, and creative briefs — and keep a live testing backlog running.
• Paid Martech Stack — Own the ad platforms, tracking, and enrichment tooling required to launch, measure, and route paid demand.

What We're Looking For

• Hands-on paid track record — You've personally run B2B paid campaigns with real budget and hit an efficiency or pipeline target. You can point to campaigns you built and the numbers they produced.
• 5–7 years in performance / paid marketing — Ideally at high-growth B2B SaaS, ideally enterprise. Deep, current, hands-on experience in LinkedIn Ads and Google Ads is required; more channels are a plus.
• Analytically rigorous — You live in CAC, payback, pipeline contribution, and conversion by stage and source. You optimize toward qualified enterprise pipeline and cost-per-opportunity, not cheap clicks or vanity MQLs. You interrogate the data, spot waste fast, and move spend based on evidence — not gut.
• High-ACV / enterprise experience — You've run paid for a high-ACV motion ($100K+ deals) against named-account lists, and you understand account-level measurement — not high-volume, low-ticket lead gen.
• AI builder, not just AI user — You build with LLMs and AI tools — ad-variant generation, audience research, campaign-QA scripts, and paid reporting dashboards. You go from "we need this" to a working prototype without filing an engineering ticket.
• Builder mentality — You don't wait for a playbook. You see a gap, build the solution, ship it. Speed over polish.

Building with AI at Leena

At Leena AI, we build with AI daily. For this role, that means:

• Using LLMs for ad copy, creative variants, ICP and audience research, and competitive teardown — then applying judgment to sharpen the output.
• Building tracking, enrichment pipelines, and paid reporting with tools like Claude Code or Cursor — no engineering dependency.
• Automating campaign QA, spend reporting, UTM hygiene, and attribution with AI-powered scripts.
• Running creative and copy at higher volume and velocity than traditional agency cycles allow.

We evaluate AI fluency rigorously during the interview process.

This role requires to be in-office 4 days/week.