Associate Product Enablement Specialist, AI

Salary Range: $90,000.00 To $105,000.00 Annually Simulations Plus stands as a premier provider in the biopharma sector, offering advanced software and consulting services that enhance drug discovery, development, research, clinical trial operations, regulatory submissions, and commercialization. Our comprehensive biosimulation solutions integrate artificial intelligence/machine learning, physiologically based pharmacokinetics, physiologically based biopharmaceutics, quantitative systems pharmacology/toxicology, and population PK/PD modeling approaches. We also deliver simulation-enabled performance and intelligence solutions alongside medical communications support for clinical and commercial drug development. Our cutting-edge technology is licensed and utilized by leading pharmaceutical, biotechnology, and regulatory agencies worldwide. Leadership truly cares about maintaining a positive culture and employee well-being. We offer fully remote work, flexible schedules, and generous vacation policy along with affordable health coverage, annual bonus, and more! Check out how much our employees love working here: https://www.comparably.com/companies/simulations-plus . The Associate Product Enablement Specialist, AI will serve as an associate professional supporting the enablement of AI-powered platform capabilities across the company ecosystem, under the guidance of senior team members. The role contributes to the implementation, testing, evaluation, and operational readiness of AI agents and AI-assisted workflows, with an initial focus on the evaluation pipelines and observability tooling used to measure their quality, reliability, and cost. Measurement is the foundation of enablement, and this role helps build and operate it. The role will assist with AI capability implementations, support evaluation and testing activities, contribute to documentation efforts, and provide first-line support to internal teams adopting AI capabilities. This individual contributor role offers structured learning opportunities and mentorship while building foundational skills in AI product enablement. Department: Product and Technology Internal Grade: 10 Direct Reports: No Status: Exempt Location: Remote Job Responsibilities: Enablement Practice Support Apply established implementation patterns and configuration templates for AI capabilities Maintain reusable templates, examples, and enablement materials Help keep standards and best-practice documents current as the AI platform evolves Suggest improvements to implementation procedures based on hands-on experience AI Capability Implementation Assistance Assist senior specialists with implementing AI agents and AI-assisted features in product workflows Support configuration of AI pipelines and execution environments Help with system setup tasks across product environments, local and cloud Document implementation and integration steps as runbooks Learn standard implementation procedures AI Testing and Evaluation Support Author evaluation tasks under guidance and run evaluation pipelines for AI outputs Execute functional, reliability, and performance test runs of AI agents across models Record and report evaluation results, including scores, cost, and latency Assist with human-in-the-loop validation, including working with domain scientists to validate expected answers Document edge cases and failure modes observed during testing Observability and Operational Support Help operate the observability tooling (tracing pipeline, dashboards) used to monitor AI agents, pipelines, and workflows Investigate traces of AI agent activity to answer questions about latency, cost, and failures, with supervision Respond to basic inquiries from internal teams; escalate complex issues appropriately Track and document operational issues to help identify recurring patterns Compile usage, cost, and reliability reports Documentation and Training Support Contribute to documentation projects: implementation guides, runbooks, troubleshooting resources Update existing materials and review documentation for accuracy against current platform behavior Create simple user guides for internal tools and workflows Maintain documentation libraries and knowledge base entries Support training sessions and onboarding of teams adopting AI capabilities Learning & Development Complete product and domain training programs Shadow senior team members on implementations, trace investigations, and evaluation reviews Study AI agent concepts, telemetry conventions, and evaluation methods Participate in customer and internal-stakeholder calls as an observer Practice with the AI platform, evaluation harness, and observability stack Team Collaboration Participate in team meetings and contribute to team discussions Assist colleagues across product teams with enablement tasks Share observations on usability and adoption challenges as feedback to senior team members Support process improvements and maintain team documentation Other Duties as Assigned Required Qualifications: Background 0-2 years of professional related experience Academic, internship, or project experience in software development or technical support Basic understanding of software applications and how they are built Strong learning aptitude Professional communication skills AI and Technical Foundations Working proficiency in Python and/or TypeScript a plus Comfort with the command line, git, and following technical instructions Basic understanding of containers (Docker or similar) Curiosity about LLM-based systems and AI agents, including how tool calling, prompts, and pipelines work Comfort with learning new technologies Enablement Skills Strong written communication, since much of this role's output is a finding or guide someone else acts on Detail-oriented, evidence-first approach that distinguishes what was observed from what is assumed Ability to explain technical concepts in practical terms Time management skills and follow-through on tasks Team player mindset Core Competencies Eagerness to learn Adaptability Professional demeanor Organizational skills Receptive to feedback Preferred Qualifications: Educational Background Coursework in computer science, data science, artificial intelligence, or life sciences Technical writing experience Project or internship experience Relevant certifications Technical Exposure Exposure to observability or tracing tooling (OpenTelemetry or similar) Experience with LLM applications or evaluation frameworks (datasets, graders, judge models) Cloud platform awareness (AWS or similar) Knowledge of databases and SQL Experience with SaaS applications and CI pipelines Professional Experience Previous technical support or quality assurance exposure Documentation experience Training or tutoring Cross-functional project participation Education: Bachelor’s degree in computer science, data science, artificial intelligence, life sciences, or related field Masters or PhD in computer science, data science, artificial intelligence, life sciences, or related field preferred Find out more about how amazing it is to work at Simulations Plus by visiting www.simulations-plus.com/career-center and apply today! Attachments (1) Total Rewards Package 2026.pdf