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Enablement Specialist, Perplexity Computer

Perplexity

Company websiteperplexity.ai (Perplexity, opens in new tab)

Base salary $150K  to $175K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (14 min ago) · observed since

About this job

Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale.

About the role

Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff.

Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance.

This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient.

What you'll do

  • Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience.

  • Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences.

  • Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences.

  • Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started.

  • Diagnose adoption barriers. Determine whether a customer is blocked by knowledge, readiness, process, configuration, product capability, or technical complexity.

  • Route complex needs well. Recognize when a question requires an Applied AI Architect, Customer Success, Support, Product, or Engineering and provide a clear handoff.

  • Create scalable assets. Turn repeated onboarding and adoption needs into curricula, customer checklists, implementation guidance, lifecycle communications, videos, examples, and internal enablement.

  • Use evidence to increase adoption and consumption. Segment customers by readiness and usage behavior, identify where consumption stalls, deliver targeted interventions, and measure activation, time to first value, repeat usage, sustained credit consumption, and program effectiveness.

  • Build the learning loop. Bring customer patterns and feedback back to Applied AI, Product, Customer Success, Marketing, and Support.

What we're looking for

The strongest Enablement Specialists can teach, diagnose, and design for scale. You should be able to run a compelling customer session, understand the technical details behind a blocker, and build a repeatable program rather than solving the same problem one customer at a time.

Must-haves

  • 4+ years in technical onboarding, customer enablement, implementation, solutions consulting, customer education, or a technically oriented Customer Success role.

  • Proven program-building experience. You have designed and delivered onboarding, training, or adoption programs across live and self-service formats.

  • Strong facilitation and communication. You can explain complex product and AI concepts clearly to technical and nontechnical audiences.

  • Technical fluency. You can guide customers through permissions, connectors, models, credits, workflows, and common integration concepts.

  • Strong diagnostic judgment. You can determine whether a customer is blocked by education, readiness, process, configuration, product capability, or technical complexity.

  • Data-informed growth mindset. You have used product and usage data to identify adoption gaps, trigger interventions, move customer cohorts toward sustained use, and evaluate impact.

  • Cross-functional operating ability. You can work effectively with Customer Success, Sales, Product, Marketing, Support, and technical teams.

  • High ownership. You set clear expectations, improve weak processes, and operate effectively in a fast-moving environment.

Nice-to-haves

  • Experience with AI products, agentic workflows, enterprise SaaS, or other technically complex platforms.

  • Experience building technical onboarding or adoption programs for enterprise customers.

  • Background in adult learning, instructional design, customer education, or enablement operations.

  • Experience using product and usage data to trigger interventions and measure activation, time to value, and sustained engagement.

  • Experience developing customer-facing technical content, workshops, or certification programs.

Source: Perplexity on Ashby · View original posting (opens in new tab)

This range next to 6 other live Perplexity roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Perplexity roles with the nearest advertised base floor
RolePublished base
Enablement Specialist, Perplexity Computer (this listing)$150K - $175K
Scaled Enterprise Customer Success Manager$150K - $175K
Senior Cinematographer, Brand Studio$150K - $180K
Legal and Operations Engineering Lead$150K - $250K
Senior Corporate IT Engineer$150K - $230K
Writer$150K - $190K
Sr. Technical Sourcer$150K - $185K

Same $100K to $400K scale as every card. All Perplexity roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-09-08
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 150,000 – 175,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.