Performance Marketing Manager

Who we are

Agility PR Solutions is a global leader in media intelligence and PR technology. Founded in 2003, we help communications teams around the world drive awareness, make smarter decisions, and protect their reputation when it matters most. Our enterprise-grade platform unifies media relations, media monitoring, social listening, AI visibility, and media intelligence into a single seamless system—turning overwhelming streams of coverage and conversation into decision-ready intelligence. Recognized for ease of use, results, and customer support, Agility is one of the most trusted names in media intelligence. Our mission is to empower the voices that shape the world's narratives, and we're looking for people who want to help us do it.

About the role

Reporting to the Associate Director, Demand Generation, the Performance Marketing Manager owns Agility's paid media investment and the performance of its campaigns, from audience and channel strategy through execution, optimization, measurement, and pipeline impact.

Paid search is a key component of Agility's MQL and go-to-market strategy, and this seat keeps it performing while the rest of the engine comes online. It runs paid search across Google and Microsoft, paid social with LinkedIn as the primary platform, retargeting across the web and social, intent-triggered advertising built on the buying signals we already collect from ZoomInfo and G2, paid placements on review and buyer platforms where they are available, and account-based display for the target accounts the sales development team is prospecting. It also leads conversion rate optimization for paid traffic — the landing pages, forms, and post-click paths that paid campaigns depend on — and brings that testing practice to the demand generation team's shared conversion experience. A paid click that lands on a page that does not convert is wasted twice.

The mandate has two halves that have to be true at once. Paid-sourced pipeline grows in absolute terms, in North America and in the UK, while cost per qualified lead falls and lead quality holds through to the Proposal stage and closed-won. And as organic and outbound channels scale, the share of MQLs that comes from paid declines because the other channels grew, not because paid shrank.

You work daily with the SEO, AI Visibility & Social Media Manager on search strategy (paid and organic search are one plan, and paid social is this seat's while organic social is theirs), the Field & Event Marketing Manager on webinar and event registration campaigns, the sales development team on speed-to-lead for paid conversions, the web developer and designer on landing page builds and tests, and Salesforce reporting that traces every campaign to closed-won.

What success looks like

• Paid-sourced MQL volume grows quarter over quarter in both North America and the UK while blended cost per MQL falls.
• Paid lead quality holds or improves: MQL-to-sales-accepted and meeting-to-Proposal conversion for paid-sourced leads are tracked by campaign and reviewed monthly with sales.
• Retargeting, intent-triggered, and account-based advertising programs are live within the first 90 days and reporting on their own pipeline contribution.
• Landing page and form conversion rates for paid campaigns improve measurably through a continuous testing program, with a documented test log and a win rate that justifies the next test, and the practice is adopted across the demand generation team.
• Every paid dollar is attributable in Salesforce to pipeline and closed-won, and the paid media budget is reforecast monthly against return, not against spend.
• The paid share of total MQLs declines over the year because organic and outbound grew, while paid volume itself still rises.

What you'll do — Paid Search & Paid Social

• Own paid search end to end across Google and Microsoft: account structure, keyword and match-type strategy, negative keyword discipline, bidding, ad copy and extensions, and budget pacing across North America and the UK.
• Run paid social with LinkedIn Campaign Manager as the primary platform: audience construction by segment and title, lead-gen and conversion campaigns, and disciplined tests on Meta, Reddit, and emerging or novel ad channels, with clear hypotheses, success criteria, and thresholds for scaling, iterating, or stopping.
• Run paid placements on review and buyer platforms — G2, Gartner Peer Insights, Capterra, and equivalents — where paid opportunities exist, measured on the same return threshold as every other channel.
• Coordinate search strategy with the SEO seat so paid and organic do not cannibalize each other, and so paid covers the terms organic cannot yet win.
• Build and maintain campaign tracking in HubSpot — UTM standards, campaign objects, and lead source hygiene — so every paid lead arrives with its origin intact.
• Stay current on developments and trends in paid media, emerging platforms, and new advertising opportunities, and proactively bring forward test ideas; stay equally current on Agility's own offerings so paid media reflects the latest agentic capabilities the product team is shipping.

Retargeting, Intent-Triggered & Account-Based Advertising

• Build retargeting programs across the web, LinkedIn, and social that match message to funnel stage: visitors, content downloaders, webinar registrants, and open opportunities each see something different.
• Turn intent signals from ZoomInfo and G2 into advertising audiences, so accounts researching the category or comparing us to competitors see Agility while they are deciding.
• Run account-based display and social against the target account lists the sales development team is prospecting, so cold outbound and advertising reach the same accounts in the same window.
• Evaluate ABM platforms against cost per sales-accepted meeting, and recommend one only when the pilot proves it; the existing intent and ad platforms are the starting point.

Conversion Rate Optimization & Landing Pages

• Lead conversion rate optimization for paid traffic: landing pages, forms, demo-request and contact paths, and the post-click experience — and partner with the demand generation team on the shared conversion experience for organic, outbound, and event traffic.
• Run a continuous testing program — headlines, offers, form length, page structure, proof placement — using analytics, heatmap and session tools, and a documented test log with results and next steps.
• Work with the web developer and designer, with page copy supplied by the content team, to build and ship pages fast on the website and in HubSpot, with templates that let campaigns launch in days rather than weeks.
• Instrument the full path in GA4, HubSpot, and Salesforce so conversion improvements are visible as pipeline, not just as form fills.

Measurement, Budget & Attribution

• Own the paid media budget: monthly reforecasts, channel-by-channel return, and reallocation toward what is producing pipeline, with a written rationale for every shift.
• Report weekly on spend, MQLs, cost per MQL, sales-accepted rate, Proposal-stage progression, and closed-won by channel, campaign, and market.
• Audit campaign and landing page data quality so attribution is trusted by sales and finance, and flag discrepancies before they reach a forecast.
• Use AI tooling for ad copy variants, audience hypotheses, and campaign QA, and hold automated campaign types to the same return threshold as everything else.

What you bring

• 4+ years running B2B SaaS paid media hands-on, with personal ownership of a meaningful, multi-channel monthly budget — planning, pacing, and reallocating it yourself rather than supporting someone else's campaigns — and results you can describe by cost per qualified lead and pipeline, not by impressions.
• Deep Google Ads and Microsoft Advertising expertise and strong LinkedIn Campaign Manager experience; working familiarity with Meta and Reddit as test channels and with paid placements on review and buyer platforms such as G2, Gartner Peer Insights, and Capterra.
• Retargeting experience across web and social, and experience turning intent data (ZoomInfo, G2 Buyer Intent, or equivalents) into advertising audiences; ABM platform experience (6sense, Demandbase, RollWorks) is an asset.
• A conversion rate optimization practice: you have run structured A/B and multivariate tests, can read GA4 and session or heatmap tools, and can build and edit landing pages in HubSpot or WordPress without waiting on a queue.
• HubSpot and Salesforce fluency for campaign tracking and attribution, including UTM discipline and lead source hygiene.
• Experience managing budgets across more than one market, ideally North America and the UK, with the judgment to pace spend to return.
• A weekly numbers habit: you reforecast on data, cut what is not working, and can explain every reallocation in one paragraph.
• Clear-eyed use of AI tools for copy variants and analysis, and healthy skepticism toward automated campaign types that hide their targeting.
• Proven ability to write or contribute compelling ad copy and variations based on creative briefs, audience insights, campaign objectives, and messaging strategy.
• Familiarity with PR, communications, or media intelligence buyers is an asset; a fast learner of a new buyer is required.

Why you'll love it here

• Fully remote work environment
• Collaborative culture – and key tools enabling it
• Competitive compensation package
• Health, Dental & Vision benefits
• RRSP matching
• Life Insurance
• Employee Assistance Program (EAP)
• Career Development & Progression opportunities
• Paid Vacation, Personal Days and Sick days
• Week off between Christmas and New Years'
• No Internal Meetings Fridays

Compensation

The total compensation range for this role is C$75,000–C$95,000 annually, plus a 10% annual bonus tied to paid-sourced pipeline and cost-per-qualified-lead targets. Final compensation will reflect the successful candidate's experience, skills, and internal equity.

This is for a vacant position.

AI Usage

We use technology to make hiring smarter, faster, and more personal, never less human. Artificial intelligence (AI) tools help us manage applications efficiently and highlight qualifications that align with each role, allowing our recruiters to focus more on meaningful conversations with candidates. AI does not make hiring decisions at Agility. Every decision is made by people, our hiring managers and recruitment professionals, who are trained to apply sound judgment and equitable practices at every stage. We believe technology exists to amplify human insight, not replace it. That belief shapes how we build relationships, tell stories, and grow our teams.

At Agility, we strive every day to build a more inclusive work environment and introduce tools that enable it. We strongly encourage applications from all people regardless of race, religion, gender, age, disability status or sexual orientation.

Even if you find yourself not checking all the boxes of our listed requirements but you are excited about this opportunity, we'd love to hear from you anyway. Our Talent Acquisition team will review your application for this role, and other potential role matches open now or in the future.

If, at any stage of the application process, you require accommodation owing to disability or a medical need, please let us know at for us to make appropriate arrangements.

Originally posted on Himalayas