Advanced Specialist, Product Management

Job not on LinkedIn

🕒 September 1

⛰️ Colorado – Remote

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💵 $80k - $148k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🪄 Product Specialist

👻 Ghost score 32%

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Logo of Pearson VUE

Pearson VUE

1001 - 5000 employees

Founded 1994

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Discover problems worth solving by engaging enterprise customers, buyers, administrators, learners, IT, and the market • Frame product bets as testable hypotheses and define the smallest experience to answer key risks • Design and run interviews, concept tests, prototypes, and pilots with real clients • Make evidence-based kill, pivot, or persevere decisions and communicate the rationale • Identify Pearson products to build upon and create internal partnerships • Own enterprise product integration fit alongside design and product engineers • Build business cases and present product narratives to clients, ELS leadership, and partner teams • Produce interview guides, models, one-pagers, and AI-assisted prototypes as needed • Manage multiple zero-to-one product workstreams from concept through validation and potential scale

🎯 Requirements

• Senior product management experience with a demonstrated zero-to-one track record, taking products or major bets from concept through validation to launch • Enterprise and B2B fluency, including procurement, security review, and change management • Strong experimentation instincts, including hypothesis design and qualitative and quantitative validation • Excellent communication, crisp writing, compelling narrative, executive presentations, and collaboration with engineers • Ability to run multiple concurrent workstreams through ambiguity • Technical depth sufficient to discuss APIs, integrations, and system constraints • Knowledge of the enterprise learning ecosystem (nice to have) • Familiarity with LTI, SCORM, xAPI, SSO, and SCIM (nice to have) • Formal research training or deep experience partnering with researchers (nice to have) • Committee, consortium, or industry working-group experience (nice to have)

🏖️ Benefits

• Eligibility to participate in an annual incentive program • Benefits information provided by Pearson

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