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# Organic Search Marketer – SEO/AEO

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/mercury.md)Share3 Sep 2026Published34Listing views4Application actions3 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryMercury is seeking a senior Organic Search Marketer to lead SEO and answer-engine optimization strategy across product, content, technical, and AI-native discovery channels. The role owns opportunity prioritization, technical SEO/AEO roadmaps, experimentation, evergreen optimization, and scalable AI workflows. Success depends on improving qualified organic traffic, AI-search visibility, account applications, and revenue while partnering closely with Engineering, Product Marketing, Social, Community, and editorial teams. Candidates need at least five years of SEO experience, including substantial AEO exposure, along with strong technical knowledge of crawling, indexing, rendering, site architecture, and LLM content interpretation.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a high-impact senior role requiring deep technical SEO/AEO expertise alongside commercial judgment, experimentation, and ownership of an evolving AI-search strategy. The incumbent must independently make trade-offs and influence senior cross-functional stakeholders amid ambiguous priorities.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$170,100US market range$135k–$195k0$215k

AI insightThe disclosed US base-salary range spans $142,400 to $197,800 yearly across geographic pay bands, producing a midpoint of $170,100 USD. This is competitive for a senior SEO/AEO specialist in US SaaS or fintech; the US market range shown is an estimated base-pay benchmark and excludes equity and benefits. Mercury separately discloses a Canadian base range of CAD 149,500 to CAD 186,900.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[SEO strategy](https://jobicy.com/jobs?search_keywords=SEO%20strategy.md)[Answer engine optimization](https://jobicy.com/jobs?search_keywords=Answer%20engine%20optimization.md)[Technical SEO](https://jobicy.com/jobs?search_keywords=Technical%20SEO.md)[AI search](https://jobicy.com/jobs?search_keywords=AI%20search.md)[LLM optimization](https://jobicy.com/jobs?search_keywords=LLM%20optimization.md)[Content optimization](https://jobicy.com/jobs?search_keywords=Content%20optimization.md)[Web performance](https://jobicy.com/jobs?search_keywords=Web%20performance.md)[Site architecture](https://jobicy.com/jobs?search_keywords=Site%20architecture.md)[Analytics and experimentation](https://jobicy.com/jobs?search_keywords=Analytics%20and%20experimentation.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md)

Sample interview questionsHow would you prioritize SEO and AEO opportunities across Mercury's products and content portfolio?I would combine business impact, search demand, conversion potential, competitive gap analysis, implementation effort, and confidence into a transparent prioritization model. I would validate assumptions through search-performance data, audience research, and experiments, then revisit priorities as AI-search behavior and product goals change.

What technical factors affect whether an LLM or search engine can understand and surface a page?

I would assess crawlability, indexation, rendering reliability, information architecture, internal linking, structured content, page speed, canonicalization, and the clarity of entity relationships. For AI discovery, I would also focus on concise answerable sections, credible sourcing, topical depth, accessible page content, and formats that make key information easy to retrieve and cite.

Describe an experiment you would run to improve visibility in answer engines.

I would select a high-intent topic where Mercury has credible expertise, create or improve a structured resource with direct answers, supporting evidence, relevant product connections, and internal links, then compare visibility and referral outcomes against a control set. I would track indexed coverage, traditional rankings, cited or surfaced AI responses where measurable, qualified traffic, and downstream conversion quality before scaling the approach.

How would you handle a disagreement with Product or Engineering about an SEO roadmap item?

I would first clarify the business objective, constraints, expected impact, and risks for each option. I would bring evidence from performance data, technical audits, and effort estimates, propose a phased or testable solution where appropriate, and document the decision so teams can align on ownership and measurable outcomes.

How do you ensure evergreen content optimization improves performance without weakening editorial quality?

I would establish shared standards with editorial partners that protect voice, accuracy, usefulness, and audience intent. Optimizations would be grounded in coverage gaps, search behavior, internal-linking opportunities, technical accessibility, and conversion relevance, with performance monitored after release to ensure changes create durable value rather than superficial keyword gains.

For decades, online search followed a simple exchange: customers typed keywords, engines returned links, and brands competed for clicks. AI search has changed that. What was once a way to locate information has become a way to interpret it — founders no longer just search for links, they ask complex questions, compare options, and rely on AI systems to synthesize answers they can act on. For Mercury, that shift is an opportunity: to shape how our expertise shows up across search and answer engines.

Mercury’s Organic Search team is hiring an Organic Search Marketer (SEO/AEO) to help define how Mercury shows up across search engines, answer engines, and AI-native discovery — for founders and entrepreneurs building companies, navigating complexity, and looking for trusted guidance in the moments that matter.

In this role, you’ll identify high-impact opportunities, develop SEO and AEO strategies that drive traffic and AI visibility for Mercury products (like Mercury’s Business Credit Cards), experiment with new workflows and formats, and help turn Mercury’s expertise into content that is discoverable, authoritative, and genuinely useful. We’re looking for someone with strong commercial instincts, deep SEO/AEO fluency, an AI-native mindset, and the curiosity and ownership to help define and set the standard for what Mercury’s modern search strategy looks like.

### If this sounds like you…

* A technically fluent SEO/AEO expert who understands how LLMs, bots, and traditional search engines consume, interpret, and weight content — and can apply that expertise to crawling, indexing, rendering, site architecture, and page performance…
* A senior cross-functional operator who can build alignment across teams, navigate competing priorities, and move complex initiatives forward even when the path isn’t obvious…
* An analytical thinker who can design and run thoughtful experiments — and a practical builder who knows when to move quickly, learn, and ship…
* Someone who raises the bar for the craft — establishing standards, sharing judgment, and helping teammates produce stronger work.

…then read on.

### In this role, you will:

* Define and own high-impact SEO and AI Search strategies across priority products and business opportunities, using performance data, competitor deep dives, and audience insights to prioritize opportunities, close coverage gaps, and improve content effectiveness over time — ultimately driving qualified traffic that converts into Mercury account applications and revenue.
* Make explicit trade-offs between opportunities and redirecting investment when work is not meaningfully advancing Mercury’s goals.
* Partner cross-functionally with Social, Product, Product Marketing, Engineering, and Community teams to turn SEO and AEO opportunities into shipped work across channels — including blog content, product pages, YouTube scripts, social, and community surfaces
* Own the technical SEO/AEO roadmap for Mercury.com, working closely with Engineering to improve page speed, rendering, and site architecture and experiment with new delivery techniques to make the site accessible and fast for both humans and bots
* Be a trusted and close partner with the Stories team, helping them to build longitudinal content roadmaps that balance the certainty of long-term planning with flexibility for emerging trends, search shifts, and business priorities
* Build repeatable systems, AI workflows, and guidelines that increase the consistency, efficiency, and impact of Mercury’s SEO and AEO efforts
* Drive SEO-driven evergreen content optimizations, working with content partners to improve performance while preserving writing quality, usefulness, and brand standards
* Strengthen how Mercury products are surfaced across owned and earned media by identifying targeted placement opportunities, building authority, and helping search and answer engines connect upstream topics to Mercury’s solutions.
* Identify and scope high-value tools, templates, calculators, downloadable PDFs, and other multi-format assets that make Mercury content more useful, shareable, linkable, and cite-worthy
* Relentlessly test new plays for improving traditional and AI search traffic and visibility — from new page types to edge caching for bots — scaling what works, stopping what doesn’t, and feeding learnings back into team-wide strategy

### You have:

* 5+ years of SEO experience, with 2-3 years focused on AEO, ideally in a fast-moving startup environment
* Deep technical fluency paired with a clear grasp of how LLMs interpret and weight content differently from traditional search engines
* Hands-on experience with AI agents and automation tools, with a builder’s instinct for turning them into repeatable systems
* Sharp, data-informed judgment for knowing what to prioritize, what to scale, and what to cut
* Demonstrated ability to influence senior and cross-functional stakeholders, navigate disagreement, and create clarity where ownership or direction is ambiguous.
* Experience establishing standards, frameworks, or operating practices that improved the quality or effectiveness of a broader team.

Please submit your resume as well as a short cover letter, with your application. Applications without a cover letter will not be considered.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-RQ1

Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area:

$158,200—$197,800 USD

US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area:

$142,400—$178,000 USD

Canadian employees (any location):

$149,500—$186,900 CAD

Show more

[Apply now >](https://jobicy.com/jobs/152489-organic-search-marketer-seo-aeo.md)

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