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Perplexity Jobs in Silver Spring, MD (NOW HIRING)

AI citation monitoring across Google AI Overview, ChatGPT, Perplexity, and emerging answer surfaces tracking where we appear, where we don't, and closing the gaps. Structured content briefs that ...

New

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and ...

AI Search Optimization (AISO/GEO) • Monitor Kapitus' visibility across AI-powered search and answer platforms, including ChatGPT, Gemini, Perplexity, Claude, and emerging search experiences. • ...

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and ...

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and ...

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and ...

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and ...

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and ...

Evaluate and recommend strategies for Generative Engine Optimization (GEO), helping clients improve visibility in AI-powered search experiences and answer engines such as ChatGPT, Gemini, Perplexity ...

Evaluate and recommend strategies for Generative Engine Optimization (GEO), helping clients improve visibility in AI-powered search experiences and answer engines such as ChatGPT, Gemini, Perplexity ...

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 Silver Spring, MD? For Perplexity jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Perplexity jobs in Silver Spring, MD look for? The top searched job categories for Perplexity jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Perplexity jobs? Cities near Silver Spring, MD with the most Perplexity job openings:
Infographic showing various Perplexity job openings in Silver Spring, MD as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr. Manager, SEO/AEO

AssetWatch

Washington, DC • On-site

Other

Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Sr. Manager, SEO/AEO

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

AssetWatch is an AI-driven industrial IoT condition monitoring platform that helps manufacturers protect their most critical equipment before it fails. We combine wireless vibration and temperature sensors with a 24/7 AI monitoring layer and a team of on-staff Certified Maintenance Engineers who deliver prescriptive recommendations directly to plant teams. The result: fewer unexpected failures, less unplanned downtime, and a fundamentally different relationship between manufacturers and their machines.

We're growing fast, operating across the US and Canada, and building out the channels that will define our next phase of scale. SEO/AEO are a couple of them and this role owns it entirely.

The Role

This role exists to build the organic channel from the ground up and turn it into a compounding pipeline asset.

You'll own the full roadmap: keyword architecture, AEO content structure, and technical SEO requirements. You'll work directly with our Webmaster (implementation) and Content Manager (executes your briefs). You are the brain; you'll have the builders.

This is not a "set it and check in monthly" role. You will wake up every morning looking at organic traffic, keyword movement, and conversion data and you'll know exactly what it means and what to do next. You'll build and own a clear, documented path from where organic stands today to a state where it delivers consistent, qualified pipeline on a repeatable basis. Every strategy decision, content brief, and technical specification you produce is in service of that outcome.

You'll also be our internal expert on Answer Engine Optimization ensuring AssetWatch earns citations in AI-generated answers on Google AI Overview, ChatGPT, and Perplexity as these become primary research surfaces for reliability engineers and plant managers evaluating condition monitoring software.

What You'll Own

Pipeline & Revenue Accountability

Own targets for organic-sourced MQLs, pipeline value, and influenced revenue SEO/AEO is a channel, not a function, and you'll be measured like one. Build and maintain a living roadmap that shows a clear, sequenced path from current organic baseline to consistent pipeline contribution. Monthly performance reporting and quarterly roadmap updates to the Director of Demand Generation and CRO with attribution that connects rankings and clicks to revenue, not just impressions.

Keyword Architecture & Search Strategy

Full keyword architecture across all five target verticals and AssetWatch's core product pillars mapped to buyer stage, search intent, and conversion potential, not just volume. Voice of search: tracking how reliability engineers, plant managers, and maintenance managers research predictive maintenance and condition monitoring and translating that into content that captures demand at the moment of intent. Competitive displacement strategy particularly against key competitors and emerging condition monitoring entrants who are actively investing in search.

AEO / Generative Engine Optimization

Schema markup requirements, question-answer content frameworks, and E-E-A-T build plan so AssetWatch appears authoritatively in AI-generated answers. AI citation monitoring across Google AI Overview, ChatGPT, Perplexity, and emerging answer surfaces tracking where we appear, where we don't, and closing the gaps. Structured content briefs that train the Content Manager to produce AEO-optimized assets, not just traditional SEO pages.

Technical SEO

Technical SEO specifications handed to the Webmaster: Core Web Vitals targets, schema implementation, crawl/indexing health, internal link architecture, and JavaScript rendering requirements. Ongoing technical audit cadence you identify the issues, prioritize by pipeline impact, and brief the fix. Crawl budget management, log file analysis, and indexing health monitoring as routine practice, not one-time projects.

Content Strategy & Briefing

Keyword-to-content mapping across the full funnel: awareness content that earns authority, consideration content that captures evaluators, and bottom-funnel content that converts. Detailed content briefs for the Content Manager topic, target keyword cluster, search intent, required schema, internal linking requirements, and conversion CTA. Content performance review cadence: what's ranking, what's converting, what needs to be updated or consolidated.

What We're Looking For

Required

5+ years in an in-house or hybrid SEO role at a B2B SaaS, industrial tech, or manufacturing-adjacent company. Demonstrated obsession with performance data you have a daily routine around Search Console, rankings, and organic conversion metrics and you don't need to be reminded to check them. Proven record of connecting search performance to pipeline you can show the funnel from keyword to closed deal, not just keyword to click. Deep technical SEO fluency: schema markup, Core Web Vitals, crawl budget, log file analysis, JavaScript rendering issues. Documented keyword research results expressed in business terms: pipeline influenced, demo requests generated, organic CAC vs. paid. Familiarity with AEO / GEO you've been paying attention to how AI search is reshaping how B2B buyers discover and shortlist vendors, and you have a point of view on how to win there. Strong analytical skills comfortable in Google Search Console, SEMrush or Ahrefs, GA4, and Salesforce or HubSpot attribution.

Preferred

Experience in industrial, manufacturing, or IIoT markets you understand what a reliability engineer cares about and how they buy. Experience briefing and managing content writers to SEO standards that produce pipeline, not just traffic. Familiarity with HubSpot CMS, Salesforce, and multi-touch attribution models. Experience building search from scratch at a company in a market-creation or category-definition phase you know what it's like to be first and you see that as an advantage.

You'll Thrive Here If...

Your first move in the morning is pulling Search Console and your rank tracker not because someone asked you to, but because you need to know. You measure your own success in pipeline and revenue influence, not page-one rankings. You can draw a straight line from a content brief to a closed deal and explain every step. You like owning the whole problem, not just executing a task list someone else wrote. You're comfortable telling leadership "the strategy needs to change" with data to back it. You think in systems keyword clusters, content pillars, authority flywheel not one-off pages. You're energized by a market that is still being defined and see that as a first-mover advantage, not a lack of playbook.

#LI-REMOTE

The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process. The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process.

AssetWatch Salary Range (US)

$115,000 - $130,000 USD

What We Offer:

  • Competitive compensation package including stock options
  • Flexible work schedule
  • Comprehensive benefits including retirement plan match
  • Opportunity to make a real impact every day
  • Work with a dynamic and growing team
  • Unlimited PTO

We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.