This is a remote position.

ATQLeads builds GTM systems for B2B companies that are done waiting on agencies and tired of the cost of full-time hires. We sit between the two: a network of vetted GTM operators who embed directly inside client teams — inside their tools, their Slack, their stack — and deliver against outcomes, not hours.

We don't sell retainers. We deploy capacity. Operators are part of the company. If you want to own real work, operate inside real companies, and be compensated like a partner rather than a contractor, this is where you belong.

Role Overview

The Digital Marketing Specialist is the channel operator who makes inbound demand generation actually produce leads every week.

A client without a DMS stays dependent on outbound alone. Paid campaigns run without conversion tracking. SEO stays neglected. Landing pages stay unoptimized. Budget gets spent without knowing which channel is producing pipeline and which is wasting money. The DMS is the person who executes and optimizes inbound channels to produce consistent, measurable lead flow — and connects every dollar spent to a business outcome.

You won't be handed a strategy deck to interpret. You'll be given ad platforms, a budget, ICP (Ideal Customer Profile) direction from the GTM Strategist, and a capacity commitment. Your job is to get campaigns live, generate data fast, optimize based on what the numbers say, and report results in terms of pipeline — not impressions.

What You'll Do

Channel Execution Systems

You own four interconnected systems end-to-end:

Paid Acquisition Engine — campaign structure, launch, and management on at least two of the following: Google Ads, Meta Ads, LinkedIn Ads. Campaign hierarchy (campaign → ad group/ad set → ad) aligned to targeting segments and budget allocation. Bidding strategies configured to campaign objectives (lead generation, traffic, conversions) with reasoning for each choice. Targeting and audience segments defined for each campaign based on ICP direction from the GTM Strategist. Budget management across campaigns and channels based on performance data, with reallocation when one channel outperforms another. Creative refresh (copy, images, video) on a regular cadence to prevent audience fatigue. Audience targeting refresh when performance declines, testing new segments or exclusions. Cross-channel budget tradeoff decisions: when to allocate more to Google vs. Meta vs. LinkedIn for a given ICP and budget constraint.

SEO and Organic Channels — on-page SEO: page titles, meta descriptions, header structure, internal linking, and content relevance for target keywords. Keyword research using Semrush, Ahrefs, or equivalent to identify targets based on search volume, difficulty, and intent alignment. Technical SEO fundamentals: Core Web Vitals, schema markup, crawl optimization, and site structure — enough to identify issues and communicate fixes to a developer. Content distribution plans: take a single content asset and distribute it across multiple channels and formats (social, email, paid amplification). Content repurposing: convert one asset (e.g., a webinar) into multiple formats (blog post, social clips, email sequence, infographic) to extend reach. Organic vs. paid tradeoff reasoning for a given ICP and budget: when organic channels produce better unit economics, and when paid is necessary for speed or volume.

Conversion Funnel Execution — landing pages with clear structure: headline, value proposition, proof elements, form, and call to action. Lead capture form optimization: which fields to include based on lead qualification needs vs. form completion rates. End-to-end conversion flow optimization: from ad click to landing page to form submission to thank-you page or next step. A/B tests on landing page headlines, calls to action, form length, and page layout — changes made on statistically valid results, not assumptions. Drop-off diagnosis at each funnel step (ad → landing page → form → confirmation) with a specific hypothesis about why.

Analytics, Attribution, and Reporting — tracking infrastructure setup: Google Analytics 4 (GA4), conversion pixels, UTM parameters, and event tracking. Custom GA4 events and funnels to track user actions default reports do not capture. Channel-level metrics: CPC (cost per click), CPL (cost per lead), conversion rate by stage, and CAC (Customer Acquisition Cost) by channel. Campaign spend connected to pipeline outcomes: how much was spent, how many leads generated, how many became qualified opportunities, and what pipeline value resulted. Multi-touch attribution model understanding (first-touch, last-touch, linear, time-decay) and when each model is appropriate. Reporting dashboards (GA4, Looker, or equivalent) showing campaign performance connected to business outcomes. Data tracking error identification (missing UTM parameters, broken pixels, misconfigured events) — fix them or flag them to the GTM Engineer. CAC-to-LTV (Lifetime Value) ratio modeling by channel with budget reallocation recommendations based on which channels produce the most efficient pipeline.

Three Phases of Execution

Your work runs in three modes depending on where the engagement is:

Foundation — set up tracking infrastructure (GA4, conversion pixels, UTM parameters, event tracking) so every campaign produces interpretable data. Get campaigns live and generating data early so optimization can begin with real performance information. Establish baseline CPL, CAC, and conversion rates by channel and funnel stage. Flag data gaps that would limit any optimization strategy before building one (no conversion tracking, no attribution, incomplete funnel data). Deliverable: live campaigns with tracking in place, baseline performance metrics by channel, and a prioritized optimization plan.

Ongoing — manage ad budgets and reallocate spend based on performance data. Refresh creatives and audience targeting on a regular cadence. Run A/B tests on landing pages and ad variants. Interpret funnel data across stages (traffic → lead → MQL (Marketing Qualified Lead) → pipeline) and identify where performance is degrading. Report campaign performance to the client and team on a regular cadence, connecting spend to pipeline outcomes. Coordinate with the GTM Engineer for CRM integration, lead routing, and tracking infrastructure. Deliverable: consistent campaign execution with measurable lead flow and regular performance reporting tied to pipeline.

Optimization — reduce CPL over time through iterative optimization of targeting, creative, landing pages, and budget allocation, measured against baselines established at engagement start. Audit existing campaign setups and identify root causes of underperformance (wrong targeting, poor creative, broken tracking, misallocated budget), not just symptoms. Distinguish between immediate fixes and structural changes that require more time or coordination. Produce a prioritized remediation plan with clear rationale for sequencing: what to fix first and why. Recommend expansion into new channels or ad formats when current campaigns are optimized and performance data supports broader reach. Deliverable: lower CPL, higher conversion rates, and a clear case for scaling or expanding channels based on data.

Cross-Functional Collaboration

You depend on inputs from three roles to do your job well: messaging and positioning direction from the GTM Strategist (which you apply to campaign creative and landing page copy), experiment designs from the Growth Marketer when funnel tests require changes to paid campaigns or landing pages, and CRM integration, lead routing, and tracking infrastructure from the GTM Engineer.

You receive budget allocation and creative assets (or creative approval) from the client. You proactively flag when performance is constrained by factors outside your execution scope: insufficient budget, weak offer, missing creative assets, or poor lead quality feedback from sales.

You report campaign performance to the client and team on a regular cadence, connecting spend to pipeline outcomes — not surface-level metrics.

Strategic Ownership

After onboarding, you generate your own optimization ideas. You don't wait for someone to tell you a campaign is underperforming. You audit campaign setups, identify root causes, and produce prioritized remediation plans with clear rationale for sequencing — what to fix first and why.

You question whether targeting, messaging, and offer are aligned before spending budget. You flag misalignment before launching. You identify data tracking errors and fix them or escalate them. You interpret funnel data to find where performance is degrading and form specific hypotheses, not just report the numbers.

You do not own GTM strategy: ICP definition, positioning, messaging frameworks, or channel prioritization decisions — that is the GTM Strategist's scope. You do not own cross-channel growth experimentation: funnel-wide experiment design, growth loop architecture, or retention optimization — that is the Growth Marketer's scope. You do not own technical system building: CRM configuration, automation workflows, data pipelines, or lead routing — that is the GTM Engineer's scope.

You signal when a client has reached the limits of their current execution bandwidth — wanting to launch more campaigns, test more creatives, or scale faster — and recommend a tier upgrade.

You'll Thrive Here If You...

1. Have real technical range

You don't need to be a full-stack marketer, but you need to be sharp with:

• Google Ads, Meta Ads, LinkedIn Ads — at least two platforms, with real budget management experience (thousands per month, not test budgets)
  
• Google Analytics 4 (GA4) — custom events, funnels, conversion tracking, UTM parameters, event tracking
  
• SEO tools (Semrush, Ahrefs, or equivalent) — keyword research, on-page optimization, technical SEO fundamentals
  
• Landing page building and optimization — headline/CTA/form testing with statistically valid A/B tests
  
• Reporting and dashboards (GA4, Looker, or equivalent) — connecting campaign spend to pipeline outcomes
  
• Multi-touch attribution models — first-touch, last-touch, linear, time-decay; know when each applies
  
• CRM basics (HubSpot, Salesforce) — enough to understand lead routing, MQL definitions, and pipeline stages
  
• Conversion pixels, UTM parameters, event tracking — set up and debug tracking infrastructure
  

You learn new platforms on your own. You figure things out before asking.

2. Think in outcomes, not tasks

• You ask "what pipeline outcome will this produce?" before launching a campaign
  
• You describe your work in outcome terms ("reduced CPL by X% while increasing MQL volume by Y%"), not activity terms ("managed three ad platforms")
  
• You know what CPC, CPL, CAC, and LTV mean for a business, and you can explain how your work affects each
  
• You can explain cross-channel budget tradeoffs in 60 seconds
  
• You communicate in plain language to people who care about pipeline, not your platform expertise
  
• When a campaign underperforms, you diagnose the root cause (targeting, creative, tracking, budget) before changing anything
  
• You acknowledge data gaps and flag them before building optimization plans
  
• You manage your own campaign calendar without being managed
  

3. Operate like you own it

• You can spot a broken tracking setup or misallocated budget before anyone tells you
  
• You get campaigns live fast — generating real data early so optimization starts from facts, not assumptions
  
• You treat client budgets like your own, with urgency, ownership, and judgment
  
• You deliver live campaigns with tracking in place within the foundation phase
  
• Every campaign ships with conversion tracking, attribution, and performance reporting connected to pipeline — not launched without measurement infrastructure
  
• You flag when performance is constrained by factors outside your scope (insufficient budget, weak offer, missing assets, poor lead quality feedback) instead of running campaigns you know will underperform
  
• You do not scale budget on a campaign before confirming that tracking is accurate and conversion data is reliable
  
• You do not report on impressions and clicks without connecting them to pipeline and revenue outcomes
  

How It Works

This is not a full-time role. You'll be matched to client engagements based on your availability and skill fit, working fractionally inside one or more client teams at a time.

Once you're vetted and onboarded into the ATQ network, deployment is the next step. From day one, you're embedded inside the client's tools: ad platforms, CRM, GA4, Slack, Notion. You operate as part of their team, not as an outside vendor.

Work is structured around Capacity Units (CUs) — defined outputs with clear scope, not open-ended time commitments. You scope work to your allocated execution bandwidth (Lite / Core / Plus / Pro) and communicate clearly when a request exceeds it. Higher tiers mean more channels and faster iteration, not more reports — Lite means 1 channel and 1 funnel with bi-weekly+ optimization cycles, Core means 1–2 channels with weekly iteration, Plus means multi-channel with multiple optimization cycles per week, Pro means a full inbound engine with real-time iteration.

With ATQ, you are paid fairly and your reputation travels with us across every project.

Requirements

Required Software:

• Ad platforms — at least two of: Google Ads, Meta Ads, LinkedIn Ads (real budget management, thousands/month+)
  
• Google Analytics 4 (GA4) — custom events, funnels, conversion tracking, UTM parameters, conversion pixels
  
• SEO tools — Semrush, Ahrefs, or equivalent (keyword research, on-page optimization, technical SEO)
  
• Reporting/dashboards — GA4, Looker, or equivalent (campaign performance connected to pipeline outcomes)
  
• CRM — HubSpot or Salesforce (understand lead routing, MQL definitions, pipeline stages)
  
• Slack, Notion — embedded client communication and documentation
  

Required Skills:

• Paid acquisition execution — campaign structure (campaign → ad group → ad), bidding strategies by objective, targeting/audience segmentation from ICP direction, budget allocation across channels based on performance data, creative and audience refresh cadence, cross-channel budget tradeoffs
  
• SEO and organic execution — on-page SEO (titles, meta descriptions, headers, internal linking), keyword research by volume/difficulty/intent, technical SEO fundamentals (Core Web Vitals, schema markup, crawl optimization), content distribution and repurposing across formats
  
• Conversion funnel execution — landing page building and optimization, lead capture form optimization, end-to-end conversion flow optimization (ad → landing page → form → confirmation), A/B testing with statistically valid results, drop-off diagnosis with specific hypotheses
  
• Analytics, attribution, and reporting — tracking infrastructure setup (GA4, pixels, UTMs, events), channel-level metrics (CPC, CPL, conversion rate, CAC), campaign spend connected to pipeline outcomes, multi-touch attribution models (first-touch, last-touch, linear, time-decay) and when each applies, CAC-to-LTV ratio modeling by channel, data tracking error identification and fixing
  
• Campaign auditing — identify root causes of underperformance (targeting, creative, tracking, budget), distinguish immediate fixes from structural changes, produce prioritized remediation plans
  

Benefits

• Fully remote 
  
• Full flexibility