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Job intelligence

AI Marketing Specialist (SEO Specialist)

Darkroom

Location: Remote — Worldwide Work arrangement: Worldwide remote Employment: Full Time Posted: November 11, 2026 Freshness: Posted today Source check: Observed today
Disclosure4 of 5 core facts statedReview uncertainties
Last source observationObserved todayObservation is not employer confirmation.
Application destinationhimalayas.appReview the application route and source evidence in the full report below.

Before relying on the listing: Confirm Compensation with the employer or source. See verification questions

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionPay not disclosed
Work flexibilityWorldwide remoteBased only on stated location/work-arrangement evidence.
Decision evidence4 of 5 core facts knownThis listing states more core decision facts than the median role in the current sample.
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternatives1523 current same-family rolesCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence available: current same-currency market context, strong decision evidence.Use the private Offer & Negotiation Lab below if an offer arrives.
Watch closely: Comparable advertised compensation is incomplete

Fast read

Opportunity DNA

What stands out most is that location flexibility looks unusually broad. The biggest counterweight is that the pay picture is incomplete.

May appeal in aRemote-first search
PayNot disclosed

A financial comparison will need the approved compensation range.

FlexibilityBroad location freedom

No material geography, office-attendance or timezone restriction is visible in the available wording.

Entry pathRequirements unclear

The listing does not make the minimum education or experience threshold clear enough yet.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

4 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Work arrangement
  • Advertised location
  • Application closing time
  • Employment type

What to verify next

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?

Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.

Decision levers

What could make or break the fit?

Reasons to look closer

  • Location flexibility looks unusually broad: The available wording supports high Remote Freedom without a material geography, office-attendance or timezone restriction showing up.

Trade-offs to weigh

  • The pay picture is incomplete: No usable salary range is stated, so a meaningful financial comparison is not possible yet.

Questions worth asking before you invest more time

  • Ask for the approved compensation range before comparing this opportunity financially.
  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Opportunity neighborhood

Keep your options open

These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.

Marketing Project Specialist | Paid Media

LifeWay Christian Resources · Remote — Worldwide

Salary not disclosed Worldwide remote 4/5 core facts

Why it is nearby: Same seniority band · Similar work arrangement · Same employment type

Content Marketing Manager

Canonical · EMEA

Salary not disclosed Region-restricted remote 3/5 core facts

Why it is nearby: Similar work arrangement · Same employment type · Recently posted

Different angle: Seniority is not explicit

1207 Content Writer / SEO Copywriter (Part-Time)

Intetics 2 · Germany

Salary not disclosed Remote — restrictions unclear 2/5 core facts

Why it is nearby: Similar work arrangement · Recently posted

Different angle: Seniority is not explicit

This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.

Role market context

How much current choice is visible around this kind of work?

This compares the vacancy with current High Paid Job inventory in the broad Marketing roles family. It describes visible choice and disclosure, not future demand or career quality.

Current visible roles1,523

200 most recent current roles sampled for the disclosure measures below.

Employers represented155

Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.

Decision-ready disclosure27%

Current sampled roles stating at least four of the five Core Decision Facts.

Compensation stated26%

Requires a numeric amount, explicit ISO currency and supported pay period.

Work arrangement stated99%

Listings with explicit enough remote, hybrid or on-site evidence to classify.

Stated closing time13%

Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.

Disclosure comparison: This listing states more core decision facts than the median role in the current sample. This listing: 4/5 · sample median: 3.0/5.

Currencies with explicit pay evidence in the sample: USD (31) · EUR (13) · GBP (4) · AUD (1). Raw amounts across different currencies are not compared.

This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.

Constraint opportunity lab

What changes the size of the current opportunity pool?

Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.

Require explicit sponsorship or relocation support 0 / 200 0%

Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.

Require worldwide remote evidence 20 / 200 10%

A much stricter subset: only listings with explicit worldwide-remote evidence remain.

Require usable compensation disclosure 51 / 200 26%

Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.

Require at least four Core Decision Facts 53 / 200 27%

Shows the subset with enough stated evidence for a more informed first comparison.

Require a remote-listed arrangement 75 / 200 38%

Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.

Stay around the same seniority band 100 / 200 50%

Includes roles whose seniority is genuinely unspecified rather than assuming they belong to another level.

Keep the same employment type 117 / 136 86%

Uses only roles with a stated employment type.

These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 1523 visible roles in this broad family.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing does not state usable structured compensation. About 26% of the bounded current role sample does.

This listingUsable pay not stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sample26%

Pay disclosure is limited in the current role sample.

Current employer pattern0%

This employer’s current visible listings disclose pay materially less often than the current same-role sample.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payNot usable / not disclosedListing evidence only.
Current comparable medianUSD 152,50031 current sampled roles
Current upper quartileUSD 190,000Current HPJ inventory context, not a salary recommendation.

Negotiation evidence available: current same-currency market context, strong decision evidence.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payVerify

The approved base-pay range is not established in the listing.

Bonus / commissionVerify

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesVerify

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionVerify

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsVerify

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveMentioned

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingVerify

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • What is the approved base-pay range for this role?
  • Is there a bonus, commission or other variable-pay component, and how is it calculated?
  • Does the package include equity or another long-term incentive, and what are the vesting terms?
  • What retirement or pension contribution does the employer provide?
  • What health coverage is included and what costs remain with the employee?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?
  • When is the first performance and compensation review after joining?

Occupation intelligence

What broader career references connect to this role?

HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.

HPJ comparison familyMarketing roles
Adjacent families worth exploringSales roles · Product roles · Design roles

European occupation references

This service uses the ESCO classification of the European Commission.

U.S. occupation references

This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.

Career reference research

Skills worth investigating

Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.

ESCO · European occupation

digital marketing manager

Usually essential in this ESCO occupation
  • design brand's online communication plan
  • set brand positioning
  • brand marketing techniques
  • perform business analysis
  • apply social media marketing
  • perform customers’ needs analysis
  • plan social media marketing campaigns
Context-dependent ESCO skills
  • services marketing
  • reputation management
  • apply customer engagement strategy
  • interactive media
  • pay-per-click

O*NET · U.S. occupation

Proofreaders and Copy Markers

O*NET occupation skills
  • Reading Comprehension
  • Writing
  • Speaking
  • Active Listening
  • Critical Thinking
Build my private skill preparation brief Your evidence · Practice · Interview questions

Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.

design brand's online communication planESCO · Essential · Listing mention unknown
set brand positioningESCO · Essential · Listing mention unknown
brand marketing techniquesESCO · Essential · Listing mention unknown
perform business analysisESCO · Essential · Listing mention unknown
apply social media marketingESCO · Essential · Listing mention unknown
perform customers’ needs analysisESCO · Essential · Listing mention unknown
plan social media marketing campaignsESCO · Essential · Listing mention unknown
services marketingESCO · Optional · Listing mention unknown
reputation managementESCO · Optional · Listing mention unknown
apply customer engagement strategyESCO · Optional · Listing mention unknown
interactive mediaESCO · Optional · Listing mention unknown
pay-per-clickESCO · Optional · Listing mention unknown
Reading ComprehensionO*NET · Skills · Listing mention unknown
WritingO*NET · Skills · Listing mention unknown
SpeakingO*NET · Skills · Listing mention unknown
Active ListeningO*NET · Skills · Listing mention unknown
Critical ThinkingO*NET · Skills · Listing mention unknown

Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.

Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?

These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.

Adjacent current roles to investigate

Adjacent-family roles are exploration prompts from current HPJ inventory. They are not inferred qualification matches and they do not imply a promotion path.

Career move map

What sits one step away?

This listing is currently read as Mid-career. Nearby roles one visible seniority step away can help you judge whether to widen the search, stretch upward or compare the responsibilities more carefully.

Broader-entry direction

Stretch direction

These are live roles one visible seniority step away in the same broad occupation family. They can reveal nearby options, but they are not a guaranteed promotion path and do not account for your personal experience.

Skill bridge

What does this role connect to?

Google Analytics is one of the signals this listing shares with skills appearing often across current Marketing roles opportunities.

Skills named in this listing

Google AnalyticsJavaScriptLarge Language ModelsSEO

Shared with the current career sample

  • Google Analytics Seen in 8 sampled listings
  • Large Language Models Seen in 11 sampled listings
  • SEO Seen in 25 sampled listings

Combinations also appearing together

  • Large Language Models + SEO appeared together in 5 sampled listings
  • Google Analytics + JavaScript appeared together in 3 sampled listings

Additional signals in this listing: JavaScript

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used Google Analytics, JavaScript, and Large Language Models rather than relying on a keyword-only claim.
  • The listing mentions extra application steps. Review those requirements before starting so you can prepare the requested material in one pass.

If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Sales roles, Product roles, and Design roles. This is exploration context, not a qualification match.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 100 contain a recognized skill signal.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Listing mention

Google Analytics

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

JavaScript

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Large Language Models

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

SEO

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Application step

Prepare for a stated application step

A portfolio or work sample is explicitly mentioned.

Questions worth resolving before you rely on the opportunity

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?

Decision analysis

What the listing really tells you

Useful decision context

AI Marketing Specialist (SEO Specialist) at Darkroom becomes easier to judge once remote flexibility can be weighed properly, the application route gives a few useful clues, and source continuity adds useful context are viewed together. Here is the current read from the information available.

Remote flexibility can be weighed properly

Location flexibility can be assessed here: Highly location-flexible, with a Remote Freedom reading of 96/100.

The application route gives a few useful clues

Provider-mediated application path · 1 visible process step. The external application may contain additional steps that are not visible from the listing itself.

Source continuity adds useful context

The opportunity currently has 1 renewable source path across 1 source classes. Multiple independent paths can strengthen continuity, but they are not a substitute for checking the application destination.

How this analysis is assembled

This read combines the structured details currently available for pay, flexibility, qualifications, mobility, application effort and source continuity. Missing facts are left open for you to verify.

Analysis evidence coverage

How much analysis can the current evidence support?

50%Partial analysis evidence coverage
50%
Current-sample pay positionInsufficient comparable salary sample

Comparable salary data is not available for this job yet.

Remote Freedom evidence96 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityNo usable disclosed salary evidence

Missing compensation is not treated as negative evidence; this dimension simply remains unavailable.

Listing freshnessPosted today

The source posting date is today.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

  • The available work-location evidence indicates strong location flexibility.

Visible cautions

No specific caution is supported by the currently available evidence. This does not prove that none exists.

Still unknown

  • There is not enough comparable salary evidence to establish this job’s current pay position.
  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Entry-barrier evidence limited

EducationEducation requirement not established
Required experience evidenceExperience requirement not established
Explicit required barriers0
Explicit access signals0

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Opportunity Efficiency not assessed

The current pay position is not reliable enough to weigh compensation against the stated barriers.

Evidence gaps that could change this interpretation
  • Current comparable pay position is unavailable.
  • Education requirement is not established.
  • Required prior-experience level is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Strong location flexibility

The observable Remote Freedom evidence is strong and contains few explicit restriction signals.

Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Explainable opportunity highlight

Why this opportunity stands out

These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.

Strong remote flexibility

The observable work-location signals indicate unusually strong location flexibility.

Fresh opportunity

The source posting date is today.

Compensation intelligence

How competitive is this pay?

No High Pay Score yet

Comparable salary data is not available for this job yet.

Why this analysis?

  • Comparable salary data is not available for this job yet.
  • Salary confidence: Not available. No disclosed salary can currently be normalized for comparison. Missing compensation is not treated as low-quality salary evidence.
  • Range quality: No disclosed range.

Employer compensation communication

Pay transparency at Darkroom

Limited current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

0/100
0%
Salary disclosure0% · 0 of 3 sampled listings
Range qualityNo disclosed salary ranges
Bonus wording0 current listings
Equity wording0 current listings
Benefits wording0 current listings
Evidence strengthLimited

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

Darkroom — current opportunity snapshot

Current opportunities visible3
Salary disclosure0%
Remote-policy evidence coverage100% · 3 of 3 sampled listings
Remote share of known arrangements100%
Worldwide-remote share100%
Known hiring countries0
Sponsorship evidence coverage0% · 0 of 3 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample3 of 3 · 100% coverage
Current role-family breadth1
Stated closing-date coverage100%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days33% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation0% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location0% of sampled current listings

Current sampled listings with a supported country signal.

Application timing100% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Marketing (2)

Visible seniority mix: Mid-career (2)

Current employment-type mix: Full time (3)

Other current roles from this employer

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.

Questions worth asking this employer

  • What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

96/100

Highly location-flexible

96%

Why this score?

  • The source describes the role as open worldwide or globally.

Flexibility signals detected

  • Worldwide or global remote eligibility is explicitly indicated.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

No obvious trade-off appears in the available job details. That does not mean the role has no drawbacks, so the original listing and employment terms are still worth reading carefully.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: himalayas.app · HTTPS

Visible application steps or requirements

  • A portfolio or work sample is explicitly mentioned.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

Location: Remote (EST preferred)
Reports To: Associate Director, AI Marketing
Department: AI Marketing

About Darkroom

Darkroom is the leading next-generation growth marketing firm engineering the brands of tomorrow. Founded in 2017, we set out to redefine what a modern agency could be, by replacing the inertia of legacy advertising behemoths with a model built for speed, intelligence, and measurable impact.

At our core, Darkroom is a human services company powered by Matter, a universal AI commerce layer that integrates executive-level strategy with proprietary agentic technology. This fusion enables our teams to deliver outsized returns by enhancing creative output, operational efficiency, and revenue generation across every stage of the customer journey.

Our track record speaks for itself: billions in attributable revenue driven across e-commerce marketplaces, media networks, DTC ecosystems, and social commerce platforms. What began as a boutique design studio has evolved into one of the fastest-growing private companies in America (Inc. 5000) and among the most effective performance media agencies of the 2020s (Varos). Our founders were recognized by Forbes 30 Under 30 for advancing the intersection of technology, marketing, and advertising.

About the Role

The way consumers discover, evaluate, and choose brands is being rewritten in real time. LLM-powered search, AI agents, and generative experiences are replacing the decade-old playbook of keywords and blue links. Darkroom is building a new AI Marketing division to own this space, and we need an SEO Specialist who can operate at the intersection of traditional organic search and the emerging world of AI-mediated discovery.

As an SEO Specialist within the AI Marketing division, you will manage all aspects of SEO and GEO (Generative Engine Optimization) strategy and execution for a portfolio of high-growth consumer brands. This is not a traditional SEO role. You will be responsible for ensuring that Darkroom clients are discoverable, recommended, and cited by both traditional search engines and LLM-powered platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini.

You will report to the Associate Director of AI Marketing and work closely with content, creative, paid media, and data teams to deliver integrated organic growth strategies. This is a fast-paced, high-accountability environment for someone who is curious about AI, obsessed with search, and ready to help define a category that is still being written.

What You’ll Do

SEO Strategy & Execution

  • Develop and implement comprehensive SEO strategies aligned with client business objectives across e-commerce, DTC, and consumer brands.

  • Conduct keyword research, site audits, and competitor analyses to identify growth opportunities in both traditional and AI-powered search environments.

  • Continuously analyze and report on SEO performance metrics, providing actionable insights and clear recommendations to clients and internal stakeholders.

  • Monitor rankings, organic traffic, and AI citation frequency, adjusting tactics based on performance data.

AI Search & Generative Engine Optimization (GEO)

  • Optimize client content and digital properties for visibility within LLM-powered search engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude).

  • Develop and execute strategies to increase how often and how favorably client brands are referenced in AI-generated answers and recommendations.

  • Monitor the rapidly shifting landscape of how LLMs source, rank, and cite information, and translate changes into actionable client strategies.

  • Build and maintain frameworks for tracking “AI share of voice” across generative search platforms.

On-Page & Technical SEO

  • Optimize website content, meta tags, structured data, and internal linking structures to improve visibility in both traditional and AI search.

  • Perform technical audits to identify crawl issues, indexation bottlenecks, site performance concerns, and schema markup opportunities.

  • Architect technical SEO, knowledge graphs, and entity-based optimization to maximize machine readability and AI citation potential.

  • Collaborate with development teams to recommend and implement SEO-friendly site structures and code enhancements.

Content Strategy & Off-Page

  • Collaborate with content teams to build strategies that serve dual purposes: ranking in traditional search AND being surfaced by AI systems as authoritative, trustworthy sources.

  • Build and maintain effective link-building campaigns to enhance domain authority and AI discoverability.

  • Identify high-value external partnership opportunities, guest posting placements, and relevant industry directories.

  • Monitor and manage backlink profiles to maintain a strong online reputation.

  • Create and manage content briefs, oversee article creation, and perform QA to ensure premium quality outputs across all content deliverables.

Collaboration & Communication

  • Partner with cross-functional teams (Content, Creative, Paid Media, Marketplaces, Retention) to deliver integrated marketing campaigns.

  • Present complex SEO and GEO insights to clients and stakeholders in clear, accessible language.

  • Support the Associate Director in developing proprietary methodologies, playbooks, and reporting frameworks for AI marketing services.

  • Foster a culture of continuous learning and experimentation, sharing AI search best practices across the broader Darkroom organization.

What You’ll Need

Experience

  • 2–4 years of experience managing SEO strategies for e-commerce, consumer, or digital-first brands.

  • Proven track record in driving organic traffic growth, keyword ranking improvements, and ROI-focused SEO campaigns.

  • Familiarity with SEO and analytics tools such as Google Analytics, Google Search Console, SEMrush, Ahrefs, Screaming Frog, or Moz.

  • Agency experience is a strong plus.

Skills

  • Deep understanding of on-page SEO, link-building, technical SEO, and structured data best practices.

  • Strong analytical skills and the ability to translate data into actionable insights and client-ready reports.

  • Working knowledge of HTML, CSS, or JavaScript is a plus.

  • Excellent verbal and written English communication skills, with the ability to present complex ideas clearly.

  • Adaptability to stay ahead of ever-changing search engine algorithms and emerging AI search platforms.

Nice to Have

  • Background in local SEO, multi-location brands, or programmatic SEO.

  • Knowledge of PR and digital authority-building strategies that support LLM trust signals.

  • Experience in e-commerce SEO or product discovery optimization.

What Sets You Apart

  • You’re already experimenting with GEO (Generative Engine Optimization), LLM-SEO, or AI search strategies — even if those terms barely existed a year ago.

  • You understand how ChatGPT, Perplexity, and Google AI Overviews decide what to cite, and why that matters for brands.

  • You’re obsessed with AI and LLMs — not just “interested.” You’ve played with the APIs, tested prompts, and you have opinions about structured vs. unstructured content for machine readability.

  • You think about search as a broader ecosystem that includes AI assistants, voice search, agentic browsing, and recommendation engines — not just Google page one.

  • You see what’s happening in AI search not as a threat to SEO, but as the biggest opportunity in a decade.

Working at Darkroom

Darkroom is not a typical agency. We are looking for A players who want to build something great. We move fast, think deeply, and expect every team member to bring insight and rigor to everything they touch. We hold a high bar for performance, creativity, and ownership — but we also support each other relentlessly. No egos, no red tape — just world-class talent building something remarkable.

We believe in autonomy with accountability, truth over comfort, and outcomes over optics.

  • Unlimited PTO + Local holidays (Relevant to your hub): Rebooting is part of the work. Take the time you need to stay sharp.

  • Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include the Brazil and Spain.

  • Parental Leave: Flexible parental leave to support new parents during this important transition.

  • Growth: Our interdisciplinary model gives every Darkroomer exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.

Equal Opportunity Statement

Darkroom is an equal opportunity workplace — we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Originally posted on Himalayas

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