Sr Product Manager Data Engineering- Volunteer (unpaid)

Fact Finders Pro; Seattle (WA); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company is seeking a volunteer Product Manager to oversee the innovative solution for real-time fact-checking and content verification. This remote role requires collaboration with engineering and design teams to ensure product development aligns with the goal of providing reliable information. Candidates should have a strong background in product management, AI/ML development, and excellent communication skills.

Qualifications

• 5+ years of experience in the tech industry.
• 3-5 years in product management focused on AI and Data Science.
• Strong understanding of product development processes.

Responsibilities

• Define and manage product vision and strategy.
• Collaborate with teams to develop product requirements.
• Lead product lifecycle from ideation to launch.

Skills

Product Management

AI/ML Development

Data Science

Agile Methodology

Stakeholder Management

Communication

Education

Bachelor’s degree in Computer Science

Master’s degree in related field

Tools

SQL

Python

Job description

4 days ago Be among the first 25 applicants

Direct message the job poster from Fact Finders Pro

Human Resource | Talent Acquisition Specialists | HR Generalists | MBA at City University of Seattle 2024

This is a volunteer remote role for a Product Manager. The Product Manager will be responsible for the day-to-day management of our innovative solution for real-time fact-checking, content verification, collaborative approaches to misinformation, and forensic analysis to expose sources. They will work closely with engineering and design teams to ensure product development aligns with our goal of providing reliable and trustworthy information to users.

Responsibilities:

1. Define and manage the product vision, strategy, and roadmap for data science solutions within the product.
2. Collaborate with data scientists, engineers, and stakeholders to develop actionable product requirements.
3. Prioritize data science initiatives, manage the product backlog, and ensure alignment with business goals.
4. Lead the entire product lifecycle, from ideation to development, launch, and iteration.
5. Utilize machine learning and AI to build customer-centric product solutions.
6. Establish key metrics and KPIs to measure the impact of data science features.
7. Ensure timely delivery of scalable, reliable data science products by working closely with engineering teams.
8. Drive experimentation and A/B testing to validate hypotheses and improve product performance.
9. Ensure compliance with data governance, privacy, and security standards.
10. Communicate product insights, progress, and performance to leadership and cross-functional teams.
11. Stay informed on the latest trends in data science and AI, applying them to improve products.
12. Balance customer needs, technical feasibility, and business objectives in decision-making.
13. Experience with agile development, sprint planning, and backlog management.
14. Strong knowledge of machine learning models, data science tools (e.g., SQL, Python), and statistical techniques.
15. Bachelor’s or Master’s degree in a related field, with 3-5 years of experience in product management focused on data science and AI.
16. Experience in software development or technology industries.
17. Willing to volunteer a minimum of 15 hours/week.

Qualifications:

• 5+ years of experience working in the tech industry
• Bachelor’s degree in computer science, Information Technology, or a related field
• Experience in AI/ML-based product development
• Minimum 3 years of experience in product management focused on AI and Data Science
• Strong understanding of product development processes, from ideation to launch
• Excellent organizational and leadership skills with a proactive, solution-oriented approach
• Ability to manage multiple projects simultaneously and adapt to changing priorities
• Effective communication and stakeholder management skills

Seniority level

• Mid-Senior level

Employment type

Job function

• Product Management and Marketing

Industries

• Technology, Information and Internet