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Principal, Product Management

Job in Salem, Marion County, Oregon, 97308, USA
Listing for: Pearson
Full Time position
Listed on 2026-06-28
Job specializations:
  • Business
    Business Analyst
Salary/Wage Range or Industry Benchmark: 190000 - 220000 USD Yearly USD 190000.00 220000.00 YEAR
Job Description & How to Apply Below

Principal, Product Management

Description:

This role aligns to industry level titles such as Principal Product Manager.

Location:

Hybrid (Hoboken, US | Raleigh, US) About the Role

We are hiring a Principal Product Manager to own product area(s) within our Content Authoring Platform – a critical enterprise platform enabling educational content creation, assembly, and reuse at scale across Higher Education, K-12, English Language Learning, and Enterprise.

You will operate with genuine ownership of your area: defining the problems worth solving, driving continuous discovery, and partnering with engineering and design to deliver outcomes that matter to users and the business.

We embrace an SVPG-inspired Product Operating Model, empowering our product teams to solve hard customer and business problems – in ways that our customers love, yet work for our business. Product companies depend on strong products, and strong products come from strong product teams. And we recognise that product teams are only as strong as their product managers. This is an empowered IC role – we expect you to think strategically, work hands‑on, and bring a clear point of view rather than wait to be told what to build.

You will be focused on either a specific business unit's content authoring needs or against a horizontal capability, and in either case, you will be the primary product voice for your area. You will need to balance BU‑specific requirements against platform‑wide coherence, and serving a varied user base from authors and content producers through to developer consumers of platform APIs.

Who you are

You are a curious, hands‑on product manager who can own a meaningful slice of a platform end‑to‑end. You think in outcomes, connect them back to clear value propositions and the jobs your users are trying to get done, and you design measurement before you build. You experiment with current AI tools in your own work and have a sharp view of where AI adds value and where it does not.

You break problems down, you are comfortable with engineers on technical trade‑offs, and you care about education enough to fight for the right thing.

What you'll work on Strategy, vision and outcomes
  • Define and maintain a clear vision, value proposition, and roadmap for your area, grounded in user insight, business priorities, and platform strategy.
  • Set outcome‑driven goals (OKRs or equivalent) with leading and lagging indicators planned up front – measurement is part of the design, not an afterthought.
  • Make deliberate trade‑offs between competing user needs, BU requirements, and platform‑wide concerns.
  • Contribute to platform‑level strategy, bringing your area into broader roadmap discussions and shaping coherent cross‑area decisions.
Discovery and customer insight
  • Build first‑hand understanding of your users – their jobs‑to‑be‑done, pain points, and the contexts in which they work – through regular direct engagement.
  • Run continuous discovery using both generative and evaluative methods: customer interviews, usability testing, behavioural analysis, and rapid prototyping.
  • Develop empathy for indirect users too – the learners, educators, and administrators who experience the downstream products your platform powers.
Delivery, execution and leadership
  • Work with engineering and design as a single team, sharing problem framing and solution design rather than handing over requirements.
  • This is a legacy org in rapid transformation – we need PMs that act as ‘player coaches’, contributing to building the team – sharing what you learn, mentoring peers, helping raise the bar.
  • Write clear product artefacts – PRDs, specs, capability definitions, user stories – at the right level for the team, so engineering can build without constant clarification.
  • Manage scope and sequencing thoughtfully, balancing strategic bets against near‑term commitments and operational needs.
AI and technology
  • Engage credibly with engineering on architecture, API design, and technical trade‑offs relevant to your area.
  • Identify and evaluate relevant AI capabilities in a pragmatic way – generative AI, prompt engineering, ML‑assisted workflows, intelligent content tools – impact vs feasibility.
  • Stay…
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