Sales Technology Enablement Specialist

Parexel•Washington, NV

20h•$115,000 - $140,000•Remote

About The Position

Parexel’s Sales Operations team is seeking a commercially minded, technology-savvy teammate to help its Commercial Sales organization get more value from its technology, particularly AI-enabled tools. The role focuses on understanding how sales teams work, identifying practical ways technology can improve their effectiveness, and helping users adopt solutions confidently. It emphasizes Enterprise AI tools such as Copilot, Claude, and Glean, including shaping skills, agents, workflows, and data-access artifacts that help users find information and act on insights. The role also supports effective use of other approved commercial applications. The specialist owns the business need, user experience, requirements, testing, and adoption, and partners with Parexel Data & Technology (D&T) for citizen development, custom work, integrations, or other engineering needs. The position translates Commercial team ideas into practical, supported ways of working and combines curiosity about AI with communication, follow-through, and a service mindset. It is home based in the United States and reports to the Executive Director, Sales Operations.

Requirements

Typically 3–6 years of professional experience after completing formal education, ideally in sales support, Sales Operations, commercial enablement, business applications, or a related role.
College degree.
Strong service orientation and ability to build trust with sales users, understand their work, and explain technology in clear, practical terms.
Genuine curiosity about AI and commercial technology, persistence, and willingness to learn from experimentation that does not work.
Experience supporting technology adoption, user training, business processes, or day-to-day use of commercial applications.
Strong communication, organization, and follow-through, including ability to manage several initiatives, align stakeholders, and close the loop with users.
Good judgment regarding data sensitivity, permissions, accuracy, and when AI-generated information needs human review.
Ability to translate business needs into clear requirements and collaborate with technical teams without needing to be a software developer.

Nice To Haves

Experience supporting a sales, commercial, or business team in adopting new tools or improving existing processes.
Experience using Enterprise AI or other AI tools for practical work or personal problems, or creating skills, agents, workflows, or examples with available tools.
Personal projects, AI experimentation, or tinkering with tools out of curiosity; home-automation projects are one possible example, not a requirement.
Experience training colleagues, writing user-friendly guidance, facilitating office hours, or providing front-line application support.
Experience partnering with technical teams to clarify business needs, test changes, and support rollout.

Responsibilities

Understand Sales and Commercial users’ priorities and friction points, and recommend practical technology improvements to sales preparation, research, account work, communication, and other activities.
Help users apply Enterprise AI and other approved AI-enabled tools to sales tasks by developing examples, prompt guidance, short trainings, demonstrations, and office hours.
Create and maintain Enterprise AI skills, agents, workflows, and artifacts using available tools; help users access approved data and surface relevant information, trends, exceptions, and insights with clear source context and appropriate access controls.
Partner with D&T on requests requiring custom development, integrations, or deeper technical changes; provide requirements, represent user perspectives, coordinate decisions, and support business testing and rollout.
Provide first-line guidance for assigned commercial applications, help users navigate features and resolve common issues, and route requests to platform owners, vendors, or D&T as appropriate.
Support business-side administration for assigned tools, including onboarding, access requests, license and usage coordination, documentation, and communications.
Test workflows and outputs against realistic sales scenarios, gather feedback, identify gaps, coordinate refinements, and explain AI limitations and the need to verify outputs.
Promote responsible use by following company requirements for data access, privacy, security, and approved use; help users understand safe practices and escalate concerns through appropriate channels.
Track user feedback, adoption, and practical outcomes where possible; share findings and recommend where to invest, improve, or stop.
Maintain clear, reusable enablement materials and examples so the Commercial team can find help and apply successful practices consistently.