Senior Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and spearhead the multi-year product strategy for Sophia Learning’s online learning platform.

• Establish and advocate for product priorities using evidence-based analysis and structured trade-offs.

• Direct the organization’s vision and roadmap for AI products.

• Lead initiatives that incorporate machine learning, natural language processing, and generative AI into Workforce Edge applications.

• Provide counsel to executive leadership by translating technical opportunities into business value.

• Engage in customer conversations, user research, market analysis, and behavioral-data analysis.

• Manage prioritized initiatives from start to finish, including post-launch impact measurement.

• Oversee the product strategy for the AI pipeline, covering data ingestion, model training, inference, and feedback loops.

• Supervise scalable, governed data-ingestion pipelines, schemas, lineage, and security models.

• Collaborate with Engineering, Data/Analytics, and AI teams on semantic data layers and metadata governance.

• Mentor and guide Product Managers.

• Represent Sophia Learning as an industry thought leader in AI for online learning, ethical AI, and data-driven learning experiences.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science/Analytics, Business/Economics, Design, Cognitive Science, Learning Science, or a related field.

• Over 6 years of product management experience in SaaS, data platform, or AI-driven product environments.

• Profound expertise in product management, AI-driven product strategy, and large-scale platform systems.

• Proven product judgment and experience in high-stakes prioritization.

• Ability to synthesize qualitative research, market signals, and quantitative data.

• Established capability to connect technical depth with executive influence.

• Demonstrated success in leading cross-functional AI initiatives that encompass data engineering, product, and data science.

• Experience in defining AI governance frameworks and ensuring responsible, compliant use of data and models.

• Background in productizing machine learning, NLP, and generative AI in multi-persona SaaS environments.

• Outstanding leadership and mentoring abilities.

• Familiarity with cloud data ecosystems such as GCP, AWS, or Azure, along with modern data and AI tools.

• Experienced in setting product direction, owning product vision and multi-year roadmaps, and achieving executive alignment.

• Proven track record of enhancing value for established user bases and introducing growth-oriented capabilities.

• Applicants must be authorized to work in the United States; visa sponsorship is not available.

• Must be able to travel occasionally as business needs arise.

• Must meet critical thinking, problem-solving, and communication requirements.

• Must be capable of working more than 40 hours per week when required by business needs.

• Should be able to access information using a computer.

🏝️ Benefits

• Medical, dental, vision, life, and disability plans.

• Well-being incentives.

• Parental leave.

• Paid time off.

• Certain paid holidays.

• Tax-saving accounts (FSA, HSA).

• 401(k) retirement benefit.

• Employee Stock Purchase Plan.

• Tuition assistance.

• Entertainment and retail discounts.

• Non-exempt employees are eligible for overtime pay, if applicable.

• Reasonable accommodations for travel limitations and the application process.