Predicts short term market changes and implications on the product.
Continuously aims to meet customer expectations without compromising the commercial viability of the product.
Data-Driven Decision-Making & Analysis
Actively gathers data from multiple sources (customer, market analysis, sales and revenue, etc.) to drive solutions to business problems and issues of consequence to the company.
Demonstrates the ability to make trade off decisions between potential product capabilities.
Evaluates product hypotheses in a quantitative manner, including AB testing for interactive products.
Effectively manages day-to-day issues and problems without intervention.
Generates new ideas by analyzing product data for insights.
Go to Market & Product Marketing Lifecycle
Supports the go to market strategy with good communication of customer requirements and timelines to stakeholders.
Assists on launch plans through coordinated development with external customer facing teams such as marketing and sales.
Answers sales and customer questions regarding feature function, pricing, packaging, value proposition and competition.
Offers Train-the-Trainer sessions in support of operations for market rollout.
Assists on collateral for sales demonstrations and customer events.
Outlines key milestones, outcomes and deliverables during go-to-market and product strategy planning.
Product Delivery & Development Lifecycle
Solves customer issues with product features that achieve business goals and metrics.
Has a deep understanding of his/her feature area and develops prototypes.
Participates in product discovery, according to defined process, for new product development.
Manages portions of the product lifecycle.
Is familiar with SDLCs as identified by management e.g. agile processes.
Strategy & Commercial Acumen
Determines strategic product vision and priorities for a feature area, and shapes/champions future product direction.
Independently uses information derived from competitive analysis to drive product direction and strategy.
Understands, formulates and budgets the operating costs required to deliver the revenues.
Creates product development plans including opportunity assessment and business case.
Technical Skills
Considers high-level technical approaches to use when prioritizing functionality.
Is proficient in various technologies to assist day-to-day tasks (Excel, Balsamiq, Tableau, Python, SQL, etc.)
Has a firm grasp of data and technical architecture principles and best practices.
What We're Looking For
4–6 years of experience in product management, business analysis, implementation, customer success, or a related role.
Experience working with software products, SaaS platforms, data products, or technology-enabled services.
Comfort working with technical concepts such as APIs, data structures, analytics, integrations, and software development workflows.
Experience creating product documentation, requirements, user stories, process flows, or other artifacts that support delivery and adoption.
Strong collaboration and communication skills, with the ability to build trusted relationships across engineering, design, sales, customer success, and external customer teams.
Comfort operating in an environment where priorities may evolve and problems may not have clearly defined solutions.
Experience or strong interest in building AI-driven capabilities into product strategy and requirements, along with comfort using AI tools to support day-to-day product work such as requirements drafting, data analysis, and reporting.
Experience in healthcare, nursing education, higher education, clinical simulation, or learning technology is a plus but not required.
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U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.






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