Senior Product Manager
Buyers Edge Platform
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Help our AI product team define the vision, strategy, and roadmap for data science and modeling across the company.
- Build and manage a team’s backlog, directing product lifecycles from concept through deployment and enhancements.
- Help team break large initiatives down into functional - but incremental - release milestones.
- Define business cases and success metrics to drive effective backlog prioritization and track team’s measurable impact toward roadmap goals.
- Partner with data scientists to validate, test, and monitor models for performance, fairness, and business impact.
- Ensure the scalable deployment of models into production environments.
- Understand when AI tooling and agentic workflows are appropriate to power features.
- Act as the primary liaison between data science, engineering, product, and executive stakeholders for your team’s deliverables.
- Collaborate with data scientists and internal team stakeholders to ensure clarity of goals, resourcing, and technical feasibility.
- Setup your team’s releases for success: by training employees to use and navigate new products adeptly, and by directing marketing and release content to promote value and expand adoption rates of new features.
- Conduct research with internal and external stakeholders to understand decision-making workflows and data-driven opportunities.
- Monitor industry trends, modeling techniques, and competitor approaches to ensure a leading-edge data science strategy.
- Use insights from model performance and business impact to refine the ai & data science roadmap.
Requirements
- 3+ years in Product Management
- 1+ year working with AI or Data Science projects
- Experience managing the lifecycle of a customer-facing product or platform feature
- Proven success launching and optimizing high-impact messaging or communications products
- Strong product thinking, with the ability to define vision and translate ideas into actionable execution
- Strong analytical mindset, with experience interpreting engagement data and user behavior
- Comfort collaborating across engineering, design, marketing, and data science.
- Experience integrating with APIs, automation tools, or machine learning models (Nice to Have)
- Knowledge of the restaurant or foodservice industry (Nice to Have)
- Understanding of SQL or Python for basic reporting or exploration (Nice to Have)
Benefits
- Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.
- Grow with us. Enjoy strong training, development, and competitive pay.
- Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Product ManagementAIData ScienceCustomer-facing product lifecycle managementAnalytical mindsetSQLPythonAPIsAutomation toolsMachine learning models
Soft Skills
Product thinkingCollaborationCommunicationAnalytical skillsVision definitionExecution planningStakeholder managementResearchGoal clarityTraining