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Perplexity Jobs in Minnesota (NOW HIRING)

Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation. Educate the marketing team on AEO best practices ...

Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation. Educate the marketing team on AEO best practices ...

Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation. Educate the marketing team on AEO best practices ...

Learn how to improve our clients visibility across Google, Bing, ChatGPT, Gemini, Perplexity, Claude, and other emerging discovery platforms * Support core SEO initiatives, including keyword research ...

You will bridge the gap between traditional and paid search (Google, Bing, Yahoo, Meta), app ecosystems (Apple, Google Play), and the emerging "latent space" of generative AI (OpenAI, Perplexity ...

You will bridge the gap between traditional and paid search (Google, Bing, Yahoo, Meta), app ecosystems (Apple, Google Play), and the emerging "latent space" of generative AI (OpenAI, Perplexity ...

Strong command of technical SEO, on-page optimization, content strategy, and local SEO. * Genuine curiosity about and early hands-on experimentation with AI search (ChatGPT, Perplexity, AI Overviews ...

Perplexity information

Does Perplexity pay well?

Perplexity as a job role is not widely recognized, so salary information is limited. Generally, salaries depend on the specific industry, experience, and location, with roles involving data analysis or AI typically offering competitive pay. It is advisable to research the particular position and company for accurate compensation details.

What are Perplexity jobs?

Perplexity jobs typically refer to roles at Perplexity AI, a company specializing in artificial intelligence-powered search engines and conversational AI tools. Employees may work in a variety of positions such as software engineering, research, product management, and data science. Perplexity AI is known for its focus on creating advanced, user-friendly AI systems that help people access and understand information more easily. Working at Perplexity often involves collaborating on innovative projects, leveraging the latest AI technologies, and contributing to the development of cutting-edge products in the AI space.

Which AI job is high paying?

High-paying AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry averages due to their specialized skills and demand in sectors like technology, finance, and healthcare.

What is the salary of Perplexity employees?

Perplexity employees' salaries vary depending on the role, experience, and location. Entry-level positions typically start around industry-standard rates, while more experienced roles can earn higher compensation. Specific salary details are often available through job postings or company reports.

What are the key skills and qualifications needed to thrive as a Perplexity AI Engineer, and why are they important?

To thrive as a Perplexity AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and hands-on project experience. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems like Git is essential. Strong problem-solving abilities, collaboration, and effective communication help you excel in multidisciplinary teams and adapt to evolving technologies. These skills are crucial for developing advanced AI solutions and ensuring they perform reliably and ethically in real-world applications.

Can I earn money from Perplexity?

Perplexity is a language model and does not offer job opportunities or direct income. If you are referring to a role related to Perplexity, such as a developer or researcher, earning potential depends on the employment arrangement, skills, and experience. Typically, jobs in AI and machine learning require technical expertise and may involve salaries or project-based payments.

What are the common challenges faced by a Data Scientist when working on machine learning projects within a cross-functional team?

Data Scientists often encounter challenges such as aligning project goals across departments, ensuring data quality, and effectively communicating complex technical concepts to non-technical stakeholders. Collaborating with product managers, engineers, and business analysts requires strong interpersonal skills and adaptability. Additionally, balancing experimentation with project deadlines and integrating models into production systems are key hurdles. Navigating these challenges successfully can lead to impactful solutions and professional growth.
What are popular job titles related to Perplexity jobs in Minnesota? For Perplexity jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Perplexity jobs in Minnesota look for? The top searched job categories for Perplexity jobs in Minnesota are:
What cities in Minnesota are hiring for Perplexity jobs? Cities in Minnesota with the most Perplexity job openings:
Infographic showing various Perplexity job openings in Minnesota as of July 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
SEO/GEO Marketing Manager

SEO/GEO Marketing Manager

Datasite LLC

Minneapolis, MN โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing

and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish.

Get started now, we look forward to meeting you..

Job Description:

We are seeking a forward-thinking SEO/GEO Marketing Manager to lead our SEO, AEO/GEO, and digital content efforts across global markets. This role goes beyond traditional organic growth strategies to include visibility across platforms ChatGPT, Claude, and Gemini, ensuring Datasite is not just ranked, but referenced, as a trusted leader in M&A workflow technology.

You will be responsible for managing the transition from traditional search to AI driven answer engines. This means you will be optimizing both search engines (Google, Bing, etc.) and AI platforms and conversational platforms. You will be hands-on in enhancing our digital presence through technical SEO, AEO/GEO targeted tactics, LLM content structuring, and direct content creation. This role requires someone who combines analytical rigor, strategic foresight, and strong content skills to help Datasite own the organic demand space.

Responsibilities

  • Integrated organic & AI search strategy: Develop and execute a global strategy spanning traditional SEO and Answer Engine Optimization (AEO), with the explicit goal of making Datasite both rank in search engines and citable in AI assistants (ChatGPT, Claude, Gemini, Copilot, Perplexity). Identify high-value niche queries for M&A professionals that may surface in both search and conversational AI interactions.
  • Link Building: Lead an Authority & Entity Building program through digital PR, strategic partnerships, link building, and unlinked brand mentions to establish domain authority and solidify Datasite's semantic association with M&A technology in LLM training sets. Manage backlink profile health, including disavowal of toxic links and competitive link gap analysis.
  • Content creation & structuring for LLM recognition: Work with our content team to create and optimize content (web copy, articles, resources, FAQs) that aligns with structured knowledge formats favored by LLMs, such as Q&A formatting, schema markup, and authoritative source content. Ensure content is technically structured to increase likelihood of AI citation.
  • Technical SEO & AI readiness: Partner with the Web Development Manager to deploy structured data markup, ensure site crawlers and LLM scrapers can access content effectively, and implement long-term AI readiness improvements (embedding strategy, no-login/public access guidelines where appropriate).
  • Keyword, entity & intent mapping: Conduct SEO and entity-based keyword research, mapping key topics, entities, and semantic signal opportunities across both search engines and LLM models.
  • Geo-targeted optimization: Lead a localization strategy across priority markets, ensuring localization practices (translations, hreflang, regional content, localized AI prompts) support regional organic growth and LLM relevancy.
  • Performance analysis: Track and report on organic search performance, including demand, rankings, CTR, traffic, and LLM visibility metrics (e.g., referenced queries, query fan outs, position in AI response testing). Use tools such as GA4, Search Console, SEMrush, and AI response benchmarking platforms.
  • Cross-functional collaboration: Work with content marketers, digital, product marketing, and thought leadership teams to align organic strategies with go-to-market priorities and significant content moments (e.g., Deal Drivers, product releases, expert content).
  • Stay ahead of AI trends: Proactively test Datasite visibility within AI assistants (ChatGPT, Gemini, Copilot, Perplexity), tracking improvements and leading experimentation. Educate the marketing team on AEO best practices and evolving AI trends in digital discovery.

Qualifications

  • 5+ years of digital marketing experience with deep expertise in SEO and organic growth strategy.
  • Proven track record of increasing brand prominence, organic traffic, and conversions for B2B companies (ideally SaaS or technology).
  • Strong understanding of entity-based search tactics, Knowledge Graph management, and semantic NLP optimization.
  • Experience designing or optimizing content specifically for AI/LLM discoverability or answer engines.
  • Analytical skills using GA4, Search Console, and SEO platforms (Ahrefs, SEMrush, etc.).
  • Comfort operating in a measurement environment that is still maturing, able to set meaningful KPIs and defend them when complete attribution isn't available.
  • Technical understanding of HTML, metadata, and on-page optimization enough to brief developers.
  • Highly collaborative, hands-on mindset, capable of juggling strategic planning and execution.

Preferred

  • Experience with AEO and visibility strategies in LLM platforms (ChatGPT, Gemini, Copilot, Perplexity).
  • Background in M&A, financial technology, or transaction lifecycle content.
  • Familiarity with LLM prompt engineering concepts or entity-based UX optimization.
  • Understanding of content distribution strategies to feed AI knowledge (e.g., public knowledge graphs, structured publishing, AI indexing enablement).
  • Knowledge of CRO and high-intent conversion strategies for organic landing pages.
  • Certifications in SEO, analytics, or AI-related marketing methodologies.

Work Location & Flexibility

This position can be located remotely however if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

$99,000.00 - $172,700.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.