Senior Product Manager

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

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Sophia

1 - 10 employees

💼 Consulting

🏥 Healthcare

📚 Education

💰 Funding Round on 2011-02

Consulting • Healthcare • Education

Sophia is a spiritual and business consultancy founded by Shinoka, offering services to help individuals and businesses realize their potential through spiritual awakening and intuitive development. Sophia offers workshops, personal coaching, and business seminars to help clients leverage universal laws and synchronicity to enhance personal and professional success. The company focuses on spiritual healing, intuitive consulting, and integrating spirituality with business strategies, aiming to empower entrepreneurs and individuals to connect with their intuition and manifest their dreams.

📋 Description

• Define and lead the multi-year product strategy for Sophia Learning’s online learning platform • Establish and defend product priorities through evidence-based analysis and structured trade-offs • Guide the organization’s AI product vision and roadmap • Lead initiatives embedding machine learning, natural language processing, and generative AI into Workforce Edge applications • Advise executive leadership by translating technical opportunities into business value • Conduct customer conversations, user research, market analysis, and behavioral-data analysis • Own prioritized initiatives end-to-end, including post-launch measurement of impact • Own product strategy for the AI pipeline from data ingestion and model training through inference and feedback loops • Oversee scalable, governed data-ingestion pipelines, schemas, lineage, and security models • Partner with Engineering, Data/Analytics, and AI teams on semantic data layers and metadata governance • Mentor and coach 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 • 6+ years of product management experience in SaaS, data platform, or AI-driven product environments • Deep expertise in product management, AI-driven product strategy, and large-scale platform systems • Demonstrated product judgment and high-stakes prioritization experience • Ability to synthesize qualitative research, market signals, and quantitative data • Proven ability to bridge technical depth and executive influence • Demonstrated success leading cross-functional AI initiatives spanning data engineering, product, and data science • Experience defining AI governance frameworks and ensuring responsible, compliant use of data and models • Experience productizing machine learning, NLP, and generative AI in multi-persona SaaS environments • Exceptional leadership and mentoring skills • Experience with cloud data ecosystems such as GCP, AWS, or Azure and modern data and AI tooling • Experience setting product direction, owning product vision and multi-year roadmaps, and securing executive alignment • Demonstrated success deepening 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 when business needs arise • Must be able to meet critical thinking, problem-solving, and communication requirements • Must be able to work more than 40 hours per week when business needs warrant • 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 application process

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