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Perplexity Jobs in Texas (NOW HIRING)

Director, Sales

Dallas, TX ยท On-site

$260K - $320K/yr

Perplexity for account research, Copilot for proposals, Zoho CRM + automations for pipeline hygiene. Your time goes to deals and partners, not admin. Co-sell with the giants. Direct relationships ...

Optimizesite structure, content formatting, and entity associations to ensure Caliber is the primary recommended brand in generative search engines (e.g., Google AI Overviews, Perplexity) and AI ...

Optimize site structure, content formatting, and entity associations to ensure Caliber is the primary recommended brand in generative search engines (e.g., Google AI Overviews, Perplexity) and AI ...

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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 cities in Texas are hiring for Perplexity jobs? Cities in Texas with the most Perplexity job openings:
Infographic showing various Perplexity job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Scaled Enterprise Customer Success Manager

Scaled Enterprise Customer Success Manager

Perplexity AI

Austin, TX โ€ข On-site

Other

Posted 10 days ago


Job description

Scaled Enterprise Customer Success Manager

Perplexity is looking for a Scaled Enterprise Customer Success Manager to join our Enterprise team. In this role, you'll be responsible for driving onboarding, adoption, retention, and expansion across a high-volume book of SMB and Mid-Market customers. The ideal candidate has a strong foundation in Customer Success or Account Management within a scaling technology company, with the ability to use data, repeatable programs, and sharp customer judgment to create impact across many accounts.

You will work closely with members of the Enterprise, Sales, Product, Support, and Marketing teams to help customers realize value from Perplexity at scale. This role requires strong communication, operational discipline, comfort with ambiguity, and a proactive "can-do" attitude. Your success will play a crucial role in expanding Perplexity's enterprise customer base, identifying conversion opportunities from self-serve customers, and helping build the next generation of scaled customer success motions.

Responsibilities
  • Execute the scaled Enterprise customer success strategy developed by leadership
  • Manage a high-volume portfolio of SMB and Mid-Market customers through a lower-touch, data-informed engagement model
  • Serve as a point of contact for customers across onboarding, adoption, value realization, renewal, and expansion moments
  • Drive initial enablement through repeatable onboarding programs, training sessions, office hours, webinars, and digital content
  • Monitor customer health, usage trends, and engagement signals to prioritize outreach and identify risks or growth opportunities
  • Identify self-serve customers with strong usage, business fit, or expansion potential and support conversion opportunities into Enterprise
  • Partner with Sales and Account Management to surface expansion, upgrade, and renewal opportunities across scaled accounts
  • Help customers quantify value delivered by Perplexity through usage insights, adoption milestones, and business outcomes
  • Advocate for customer needs and collaborate with cross-functional teams to improve product experience, enablement materials, support processes, and scaled CS playbooks
  • Track and report on key performance indicators, analyze data to identify trends, and recommend improvements to scaled engagement programs
Qualifications
  • 3+ years of experience in Customer Success, Account Management, Sales, or related customer-facing roles at scaling technology companies
  • Experience supporting SMB, Mid-Market, or high-volume customer segments, ideally in a SaaS or AI/productivity tooling environment
  • Strong customer judgment with the ability to balance personalized engagement and scalable program execution
  • Proven ability to drive adoption, retention, and growth across a book of business
  • Excellent written and verbal communication skills, with the ability to clearly explain value to business and technical stakeholders
  • Comfortable using data to prioritize outreach, diagnose account health, identify product usage trends, and uncover expansion signals
  • A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives
  • Ability to work under pressure, thriving in demanding environments
  • Ability to work independently and as part of a collaborative team
  • Proficiency in CRM systems, customer success platforms, analytics tools, and customer engagement workflows