Mid Level Data Product Manager Jobs
Mid level data product manager jobs go to professionals ready to own data product features end to end, align cross-functional stakeholders, and drive roadmap decisions with limited oversight. Openings run heavily remote and hybrid across Technology & Software, Retail, and E-Commerce & Online Marketplaces, with employers like JPMorganChase, Whatnot, and Apple hiring at this level now.
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What do you bring?
We are looking for someone who is detail-oriented, collaborative, and comfortable working across a matrixed organization. The ideal candidate will bring strong technical knowledge in hazard communication and product compliance, along with the ability to translate regulatory requirements into practical business guidance.
- Bachelor's degree in Chemistry, Toxicology, Industrial Hygiene, Environmental Science, Biology, or a related technical field, or equivalent experience.
- 3+ years of experience in hazard communication, SDS authoring and management, product stewardship, regulatory compliance, EHS, risk management, or sustainability.
- Experience authoring SDS and product labels, including hands-on experience with GHS classification and SDS authoring software; 3E experience is strongly preferred.
- Working knowledge of OSHA HazCom, WHMIS, EU CLP, TSCA, REACH/RoHS, Proposition 65, Conflict Minerals, and related chemical or product regulations.
- Strong technical writing, documentation, analytical, and presentation skills.
- Ability to manage multiple priorities, work independently, and build effective relationships with internal stakeholders, customers, and suppliers.
- Master's degree in a related technical field is a plus.
- Travel may be required up to 15% for meetings, training, and plant visits.
IS THIS JOB FOR YOU?
Saint-Gobain, our employees have pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, & Collaboration. Our company encourages diversity and inclusion in all its forms while our products make the world a more beautiful, safer, and sustainable home.
TO MAKE SURE NOTHING IS FORGOTTEN
Employees have the flexibility to choose the benefits that best fit their individual needs:
- Health and Wellbeing – Supporting your wellbeing, to thrive in life and work.
- Medical, Prescription Drug, Vision, and Dental Insurance
- Healthcare Saving Account and Flexible Spending Account options
- LiveWell Wellness Program
- Employee Assistance Program (EAP)
- Paid Time Off and Paid Parental Leave
- Retirement and Protection - Helping to make the future life you want a reality.
- 401(k) with Company Match, Retirement Accumulation Plan (RAP), Cash Balance Pension Plan
- Company-provided Life Insurance, AD&D, Short-Term Disability
- Voluntary employee and dependent life insurance, Long-Term Disability, Critical Illness, and Accident Insurance
Additional Benefits – Helping shape the experience and impact you want
- Group Legal
- Identity Theft Protection
- Auto and Home Insurance
- Pet Insurance and Discounts
- Back-up Child & Elder Care
- PerkSpot Employee Discount Program
LEGAL STATEMENT
Saint-Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint-Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans.
Applicants for roles based in Washington state or remote roles that would be worked from Washington state are encouraged to direct any concerns regarding the state’s Pay Transparency laws to the SGNA HR Compliance team at SGNA_HR_Compliance@saint-gobain.com.
Job Reference: USA14827
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Who's Hiring



Top Industries Hiring
- Technology & Software25
- Retail10
- E-Commerce & Online Marketplaces8
- Banking & Financial Services7
- Investment & Asset Management5
Mid Level Data Product Manager Jobs: Frequently Asked Questions
How do I get a mid level data product manager job?
Position your existing experience around ownership and measurable outcomes. Highlight specific data products you shaped from discovery through delivery, decisions you made independently, and how you translated data insights into product priorities. Applications that show you can bridge business goals and technical data capabilities, without needing constant direction, stand out most at this level.
Which companies hire mid level data product managers?
Companies hiring mid level data product managers right now include JPMorganChase, Whatnot, and Apple, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers growth-stage technology companies, large enterprise organizations with dedicated data platform teams, and data-intensive businesses in finance, healthcare, and retail.
Are there remote mid level data product manager jobs?
Yes, remote and hybrid options are widely available at this level. About 52% of mid level data product manager openings are remote or hybrid as of August 2026, reflecting the collaborative-but-distributed nature of modern data and product teams. On-site roles tend to concentrate at companies building early data functions or operating in regulated industries.
How do I move up to a mid level data product manager role?
The path from entry level to mid level is built on depth of ownership. Focus on taking a data product or feature through a full lifecycle, not just executing tasks. Develop fluency in data modeling concepts, analytics workflows, and stakeholder alignment. Demonstrating measurable impact, such as improved data quality or faster decision-making, signals readiness for the broader scope mid level roles carry.
Which industries hire the most mid level data product managers?
Mid Level data product manager roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. These sectors generate large volumes of operational and customer data, creating strong demand for professionals who can turn that data into structured, decision-ready products for internal and external users.