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Digital Marketing Specialist
Free template · 2026

Digital Marketing Specialist Job Description Template

A ready-to-use Digital Marketing Specialist job description for 2026, with the interview scorecard and questions to hire one. Copy it as is or customize it free in about 15 seconds.

Includes the job description, an interview scorecard and questions for every round.

Mid-level in Latin America
$2,250/mo
Same role in the US
$5,875/mo
You save
Up to 62%

All-in monthly cost, 2026 rates.

Job description template
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Digital Marketing Specialist

We’re seeking a Digital Marketing Specialist to plan, launch, and optimize multi-channel campaigns that grow qualified demand and improve customer engagement. You’ll use data to make decisions, collaborate with cross-functional partners, and continuously refine performance across key digital channels.

Responsibilities

  • Own campaign planning and execution across core digital channels (e.g., paid search, paid social, display, email, landing pages) from brief to launch
  • Define tracking and measurement approaches (UTMs, pixels/tags, dashboards) to evaluate campaign performance accurately
  • Analyze performance data to identify insights, optimize spend and targeting, and improve conversion funnel results
  • Build and maintain landing page and conversion optimization recommendations in partnership with design and product stakeholders
  • Manage ongoing content and audience lifecycle activities for email and/or marketing automation programs
  • Coordinate with internal teams and external partners to ensure timely delivery of campaign assets and messaging
  • Create clear reporting for stakeholders, highlighting results, learnings, and next-step actions

Must-have qualifications

  • Hands-on experience with paid media campaign management and optimization (search and social) in production
  • Proficiency setting up and validating campaign tracking and attribution (UTMs, pixels/tags) to ensure reliable measurement
  • Strong data analysis skills using marketing metrics and experimentation learnings to drive performance improvements
  • Experience creating and optimizing landing pages and conversion journeys to improve funnel conversion rates
  • Demonstrated ability to manage email and/or marketing automation programs with segmentation and performance review

Nice to have

  • Experience with marketing analytics tools and reporting dashboards (e.g., Looker, Tableau, GA4 reporting workflows)
  • Knowledge of SEO fundamentals and how organic and paid channels influence one another

What success looks like in 12 months

  • Improve campaign measurement reliability
  • Increase conversion performance across landing pages and funnel steps
  • Optimize paid media efficiency and audience targeting
  • Strengthen lifecycle engagement via email/automation

Logistics

  • Full-time (40 hours a week), remote from Latin America.
  • Working hours overlap with US business hours.

About the company

[About your company: what you build, your stage and team size]

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Interview scorecard

Score every candidate against the same bar

Drive measurable growth through data-informed digital marketing campaigns that improve qualified demand and conversion performance.

Outcomes to measure

What this hire should deliver in the first year. Replace [N] with your own targets.

  • Improve campaign measurement reliability. Measure: validate tracking coverage across key events and channels with [X]% fewer reporting discrepancies by Month [6]
  • Increase conversion performance across landing pages and funnel steps. Measure: improve landing page or funnel conversion rate by [X]% by Month [9]
  • Optimize paid media efficiency and audience targeting. Measure: reduce cost per qualified acquisition by [X]% by Month [12]
  • Strengthen lifecycle engagement via email/automation. Measure: increase email/automation-driven conversion or engagement metric by [X]% by Month [12]

Competencies and weights

What to evaluate, how much it counts and what a strong answer looks like.

Paid media optimization · 27%
This role owns campaign performance and requires independent execution and optimization across key paid channels. Evaluated in Round 1.

  • Weak: Runs campaigns but does not consistently monitor performance trends or adjust targeting/bids/audience settings based on results.
  • Meets the bar: Regularly reviews performance and makes clear optimizations to bids, targeting, creatives, or audiences, documenting what changed and why.
  • Strong: Proactively identifies performance drivers, scales winners, tests structured hypotheses, and explains causal impact using campaign data.

Tracking and attribution · 23%
Accurate measurement is foundational to optimization; the specialist must ensure tracking reliability and trustworthy reporting. Evaluated in Round 1.

  • Weak: Relies on default platform reporting without validating UTMs/pixels/tags or event quality.
  • Meets the bar: Sets up UTMs and validates core events/pixels at launch, ensuring reports match observed conversions.
  • Strong: Diagnoses attribution and tracking gaps, implements robust validation checks, and explains how measurement choices affect decision-making.

Marketing data analysis · 19%
The role must turn data into actionable decisions using appropriate metrics and experimentation learnings. Evaluated in Round 2.

  • Weak: Reports metrics without connecting them to decisions or identifying root causes of changes.
  • Meets the bar: Analyzes funnel and campaign metrics to isolate issues, proposes optimizations, and reports outcomes against targets.
  • Strong: Builds structured analysis, uses segmentation to find drivers, and clearly links insights to measurable performance changes.

Conversion journey optimization · 15%
Digital growth depends on landing page and funnel improvements, not just media spend. Evaluated in Round 2.

  • Weak: Focuses on traffic volume but rarely influences landing page experience, messaging, or conversion flow.
  • Meets the bar: Converts insights into landing page recommendations and coordinates implementation to improve conversion rate.
  • Strong: Leads iterative improvements using evidence (e.g., heatmaps/analytics or testing), prioritizing changes that improve funnel outcomes.

Email and lifecycle execution · 10%
Lifecycle programs can materially impact engagement and conversion, and the specialist must execute them effectively. Evaluated in Round 3.

  • Weak: Sends email blasts without thoughtful segmentation or performance review loops.
  • Meets the bar: Builds or improves segmented email/automation flows, reviews key engagement metrics, and iterates based on results.
  • Strong: Designs lifecycle journeys aligned to funnel stages, tests messaging/targeting, and demonstrates clear improvements over time.

Stakeholder communication · 6%
Clear reporting and cross-functional coordination are needed to ship campaigns and improvements reliably. Evaluated in Round 3.

  • Weak: Communicates progress inconsistently and leaves stakeholders without clear status, risks, or next steps.
  • Meets the bar: Provides concise updates and campaign performance summaries with clear recommendations.
  • Strong: Creates proactive stakeholder narratives that connect goals, results, learnings, and decisions, keeping teams aligned.
Interview questions

Questions for every interview round

Each round has an owner, a time box and questions that test the competencies above.

Round 1: Digital Performance Foundations
Marketing Analytics Lead · 50 min

  1. Walk me through a paid search and/or paid social campaign you managed end-to-end. What decisions did you make during launch and optimization, and how did you measure success?
  2. Tell me how you set up tracking for a campaign (UTMs, pixels/tags, event validation). How did you verify the tracking was working before relying on results?
  3. Describe a time campaign results looked “wrong” due to measurement or attribution issues. What did you check first and what changed after you found the root cause?
  4. What metric do you treat as the primary north star for paid performance in your work, and how do you use supporting metrics to decide what to change?

Round 2: Funnel and Experimentation Thinking
Growth Marketing Manager · 55 min

  1. Share an example of a structured performance analysis you did (e.g., funnel breakdown by segment/channel/device). What was your hypothesis and what evidence supported your conclusion?
  2. Tell me about a time you improved conversion rate on a landing page or in the funnel. What specific changes did you recommend or implement and how did you evaluate impact?
  3. Describe how you decide what to test or optimize first when multiple issues are present. What data do you look at and how do you prioritize?
  4. How do you distinguish correlation vs. causation in marketing results when making optimization decisions?

Round 3: Lifecycle and Collaboration
Lifecycle Marketing Lead · 45 min

  1. Walk through an email or marketing automation program you owned (segmentation, cadence, and goals). What KPIs did you track and what improvements did you drive?
  2. Describe how you approach building or updating a lifecycle journey for different audience segments. How do you align content and timing to funnel stage?
  3. Tell me about a time you had to align with design/product/engineering to execute digital improvements. How did you communicate needs, tradeoffs, and outcomes?
  4. What reporting do you produce for stakeholders after a campaign, and how do you ensure it leads to actionable next steps?

Red flags to watch for

  • Cannot explain how they ensured tracking reliability (UTMs/pixels/events) and instead depends on platform numbers alone.
  • Describes optimization as “changing things randomly” without linking choices to metrics, hypotheses, or measured outcomes.
  • Has limited or inconsistent experience improving conversion rates beyond increasing traffic.
  • Struggles to articulate how analysis led to a decision and measurable impact.
  • Avoids ownership of lifecycle/email programs or can’t discuss segmentation and performance trends

How much does it cost to hire a Digital Marketing Specialist in Latin America?

In 2026, a senior Digital Marketing Specialist in Latin America costs $3,375 to $3,875 a month all-in, versus $7,875 in the US: up to 57% less. Mid-level starts at $2,250.

Country

Mid-level

Senior

Argentina

$2,250

$3,375

Brazil

$2,500

$3,750

Colombia

$2,250

$3,375

Mexico

$2,625

$3,875

United States

$5,875

$7,875

Monthly cost in USD, all-in: the talent's salary plus Teilur's flat 20% fee, from our 2026 rates. The United States row shows what the same role typically costs there.

Compare costs in the calculator →

Frequently asked questions

What does a Digital Marketing Specialist do?

Typical responsibilities include: own campaign planning and execution across core digital channels (e.g., paid search, paid social, display, email, landing pages) from brief to launch; define tracking and measurement approaches (UTMs, pixels/tags, dashboards) to evaluate campaign performance accurately; analyze performance data to identify insights, optimize spend and targeting, and improve conversion funnel results. The full list is in the template above.

How much does it cost to hire a Digital Marketing Specialist in Latin America?

In 2026, a senior Digital Marketing Specialist in Latin America costs $3,375 to $3,875 a month all-in, versus $7,875 in the US: up to 57% less. Mid-level starts at $2,250.

Can I customize this Digital Marketing Specialist job description?

Yes. Teilur's free Job Description & Scorecard Generator rewrites it for your stack, seniority, time zone and hiring urgency in about 15 seconds. No sign-up needed.

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