Enablement Specialist, Perplexity Computer
perplexity
Job Score
90 ptsPerplexity 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.
About Systems Analyst
The Systems Analyst is the professional responsible for analyzing, designing, and implementing technology solutions that meet business needs. They act as a bridge between business areas and the development team, ensuring that systems deliver real value to the organization.
Key skills include requirements gathering and analysis, process modeling (BPMN), data modeling, technical and functional documentation, system integration (APIs, microservices), and knowledge of ERPs and CRMs. Tools like Jira, Confluence, Visio, and project management platforms are essential.
Systems Analysts in technology companies are highly valued, especially those who master agile requirements analysis (user stories, backlog), system integration, and solution architecture. The field offers opportunities from junior analyst to solution architect, with a focus on efficiency, quality, and technological innovation.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Engineering
Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.
Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.
Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.
About Web Master
The Web Master is the professional responsible for maintaining, securing, and ensuring the technical performance of websites and web applications. They manage servers, hosting infrastructure, uptime monitoring, and ensure everything runs fast and reliably.
Key skills include server management (Apache, Nginx), hosting (AWS, Google Cloud, Azure), CDN (Cloudflare), SSL, DNS, web security (WAF, firewall), performance (Core Web Vitals, cache, compression), and versioning (Git, CI/CD). Knowledge of Docker, WordPress, cPanel, and monitoring (Sentry, New Relic) is a differentiator.
Web Masters in technology companies are highly valued, especially those who master DevOps, SRE, and can guarantee uptime and performance at scale. The field offers opportunities from junior webmaster to SRE and infrastructure engineer, with a focus on reliability, security, and speed.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
About Cloud Solutions
The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.
Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.
Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.
About Product Manager
The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.
Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.
Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).
Comments 0