Technical Product Manager, Data Science

Summary

Join TrueML, a mission-driven financial software company, as a Technical Product Manager (TPM) to lead product strategy and execution for the Data Science team. This pivotal role shapes the future of AI and Data Science, defining, prioritizing, and delivering innovative data-driven products. You will collaborate with data scientists, engineers, and stakeholders, translating complex technical concepts into a compelling product roadmap. The position requires strong technical understanding, cross-functional collaboration, and market research skills. TrueML offers a remote-work environment with excellent benefits, including unlimited PTO, comprehensive health insurance, 401k, and various other perks.

Requirements

• Bachelor's degree or equivalent professional experience in Computer Science, Engineering, Statistics, Mathematics, or a related technical field
• 3+ years of experience in technical product management, preferably working with data science, machine learning, or AI-powered products
• Proven ability to define product strategy, develop roadmaps, and manage a product backlog
• Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, validation, and deployment
• Familiarity with common machine learning algorithms, statistical concepts, and data analysis techniques
• Experience working closely with engineering and data science teams in an Agile/Scrum environment
• Excellent analytical and problem-solving skills, with a data-driven approach to decision-making
• Exceptional communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across teams and levels
• Demonstrated ability to translate complex technical concepts into clear business value

Responsibilities

• Product Strategy & Vision: Define and champion the product vision, strategy, and roadmap for data science initiatives, aligning with overall company objectives and market opportunities
• Roadmap & Prioritization: Develop and maintain a prioritized product backlog based on business value, technical feasibility, user feedback, and strategic goals. Make the tough trade-off decisions necessary to ensure we efficiently deliver value to users and our business
• Requirements Definition: Collaborate closely with data scientists, engineers, designers, and stakeholders to gather requirements, define use cases, and translate them into clear, detailed technical specifications and user stories
• Cross-functional Collaboration: Act as the primary liaison between the Data Science team and other departments (Engineering, Marketing, Sales, Operations, etc.) to ensure alignment and successful product development and launch
• Technical Understanding: Develop a deep understanding of our data infrastructure, machine learning models, algorithms, and analytical techniques to effectively guide product development and communicate technical concepts to non-technical audiences
• Product Lifecycle Management: Oversee the entire product lifecycle from ideation and discovery through development, launch, iteration, and end-of-life
• Market & User Research: Conduct market research, competitive analysis, and user research to identify unmet needs, validate hypotheses, and inform product decisions
• Go-to-Market: Partner with marketing and sales teams to define go-to-market strategies, positioning, and messaging for new data products and features
• Performance Monitoring: Define key performance indicators (KPIs) and success metrics for data science products; monitor performance, analyze results, and drive continuous improvement
• Stakeholder Management: Communicate product plans, progress, and insights effectively to stakeholders at all levels, including executive leadership

Preferred Qualifications

• Master's or PhD degree in a relevant technical field
• Hands-on experience with data science tools and platforms (e.g., Python, R, SQL, Spark, TensorFlow, PyTorch, cloud ML platforms like AWS SageMaker, Google AI Platform, Azure ML)
• Experience with A/B testing, experimentation frameworks, and data visualization tools (e.g. Tableau, Power BI)
• Experience in fintech, consumer finance, and/or consumer marketing
• Experience managing platform products or APIs

Benefits

• Everything you need to work remotely
• Unlimited PTO
• Medical/dental/vision insurance
• 401k through Charles Schwab
• Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package
• Company-paid short-term and long-term disability plus basic life insurance
• Family-friendly maternity and paternity leave
• Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
• PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide
• Paid time off to do volunteer work in your community
• Access to the Wellness Coach app for you and 5 family members