Fact Finders Pro · 6 hours ago
Sr Product Manager - Data Engineering/ Data Science (Volunteer -Unpaid position)
Seattle, WA
Full-time
Remote
Senior Level
5+ years exp
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Responsibilities
Define and manage the product vision, strategy, and roadmap for data science solutions within the product.
Collaborate with data scientists, engineers, and stakeholders to develop actionable product requirements.
Prioritize data science initiatives, manage the product backlog, and ensure alignment with business goals.
Lead the entire product lifecycle, from ideation to development, launch, and iteration.
Utilize machine learning and AI to build customer-centric product solutions.
Establish key metrics and KPIs to measure the impact of data science features.
Ensure timely delivery of scalable, reliable data science products by working closely with engineering teams.
Drive experimentation and A/B testing to validate hypotheses and improve product performance.
Ensure compliance with data governance, privacy, and security standards.
Communicate product insights, progress, and performance to leadership and cross-functional teams.
Stay informed on the latest trends in data science and AI, applying them to improve products.
Balance customer needs, technical feasibility, and business objectives in decision-making.
Experience with agile development, sprint planning, and backlog management.
Qualification
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Required
5+ years of working experience in the Tech industry
Bachelor’s degree in Computer Science, Information Technology, or related field.
Strong understanding of product development processes, from ideation to launch.
Excellent organizational and leadership skills with a proactive and solution-oriented mindset.
Ability to manage multiple projects simultaneously and adapt to changing priorities.
Effective communication and stakeholder management skills.
Preferred
Define and manage the product vision, strategy, and roadmap for data science solutions within the product.
Collaborate with data scientists, engineers, and stakeholders to develop actionable product requirements.
Prioritize data science initiatives, manage the product backlog, and ensure alignment with business goals.
Lead the entire product lifecycle, from ideation to development, launch, and iteration.
Utilize machine learning and AI to build customer-centric product solutions.
Establish key metrics and KPIs to measure the impact of data science features.
Ensure timely delivery of scalable, reliable data science products by working closely with engineering teams.
Drive experimentation and A/B testing to validate hypotheses and improve product performance.
Ensure compliance with data governance, privacy, and security standards.
Communicate product insights, progress, and performance to leadership and cross-functional teams.
Stay informed on the latest trends in data science and AI, applying them to improve products.
Balance customer needs, technical feasibility, and business objectives in decision-making.
Experience with agile development, sprint planning, and backlog management.
Strong knowledge of machine learning models, data science tools (e.g., SQL, Python), and statistical techniques.
Bachelor’s or Master’s degree in a related field, with 5+ years of experience in product management focused on data science or AI.
Willing to have fun and volunteer 15 hours/week.
Company
Fact Finders Pro
At Fact Finders Pro, we're on a mission to tackle one of the most pressing challenges of our time: disinformation.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
