Sr. Product Manager

Aroghia Group; Beaverton (OR); On-site; USD 140,000 - 190,000; Full time

Job summary

Aroghia Group is seeking an experienced product leader to own the AI-assisted wholesale solutions roadmap from discovery to delivery. You will drive end-to-end feature delivery that affects core platform components and collaborate with Sales and Engineering to balance business needs, technology requirements, and cost.

You will define success metrics, partner with Data Science, and ensure seamless integration with order entry and planning systems, while communicating progress to senior leadership.

Qualifications

• Bachelor's degree or combination of relevant education, experience, and training.
• 8–10 years in product management with end-to-end vision and a multi-year roadmap with Engineering teams and business partners.
• Experience building B2B commerce, order management, or enterprise sales tools used by internal sales teams or business customers.
• Hands-on experience shipping AI/ML-powered product features, such as recommendations, forecasting, or decision support, with metrics and collaboration with Data Science.
• Experience partnering with stakeholders to understand business needs, outcomes, and value, keeping roadmaps aligned.
• Roadmaps that account for dependencies across functional areas and domains, including platform enablement work.
• Experience on Agile teams following Scrum, using JIRA, and running daily activities (Daily Scrum, Backlog Refinement, Planning, Review).
• Experience with communications, senior management reporting, and business presentations.
• Experience working with cross-functional teams in fast-moving environments, globally and domestically.
• Strong analytical, problem-solving, and data visualization skills.
• Excellent communication to explain AI concepts to sales and business audiences.
• Ability to adapt to new technologies, tools, processes, and ambiguity.
• Nice to have familiarity with Wholesale Sell-In, seasonal ordering, or retail merchandising processes.
• Nice to have experience designing human-in-the-loop AI workflows.

Responsibilities

• Defining and owning the product vision and multi-year roadmap for AI-assisted wholesale solutions, from discovery through delivery.
• Owning delivery of feature changes end to end that significantly affect core parts of the platform.
• Assessing the business impact of different solutions and balancing business needs, technology requirements, and cost.
• Running structured brainstorming and discovery sessions with Sales, accounts, and cross-functional partners to generate and prioritize improvements.
• Defining success metrics and outcomes and reporting progress to senior leadership.
• Partnering with Engineering and Data Science to ship AI capabilities responsibly, including model inputs and explainability.
• Working with other product teams to ensure recommendations connect to order entry, checkout, and downstream planning systems.

Skills

Product management

Roadmapping

Agile / Scrum

JIRA

Data visualization

Stakeholder management

Executive communication

AI concepts

Cross-functional collaboration

Education

Bachelor's degree

Tools

JIRA

Job description

We're looking for someone with at least 8 to 10 years of experience in product management who has clearly demonstrated these skills:

• Bachelor's degree, or a combination of relevant education, experience, and training
• Strong product management expertise, including leading an end-to-end product or platform vision and a multi-year roadmap with Engineering teams and business partners
• Experience building B2B commerce, order management, or enterprise sales tools used by internal sales teams or business customers
• Hands-on experience shipping AI/ML-powered product features, such as recommendations, forecasting, or decision support. You should be able to frame the problem, define success metrics, and work with Data Science on model inputs and tradeoffs
• Experience partnering with all stakeholders to understand business needs, outcomes, and value, and making sure roadmaps stay aligned to them
• Experience building roadmaps that account for dependencies across functional areas and domains, including technical enablement work as part of the platform strategy
• Experience on Agile teams following Scrum, using JIRA, and running day-to-day product activities (Daily Scrum, Backlog Refinement, Planning, and Review)
• Experience with communications, senior management reporting, and business presentations
• Experience working with cross-functional teams in a fast-moving environment, on both global and country-specific solutions
• Strong analytical, problem-solving, and data visualization skills
• Excellent communication skills, with the ability to explain technical and AI concepts to sales and business audience
• Proven ability to adapt to new technologies, tools, processes, changing needs, and ambiguity
• Familiarity with Wholesale Sell-In, seasonal ordering, or retail assortment and merchandising processes (Nice to have)
• Experience designing human-in-the-loop AI workflows, where users review, adjust, and approve system recommendations (Nice to have)

WHAT YOU'LL WORK ON

• Defining and owning the product vision and multi-year roadmap for AI-assisted wholesale solutions, from discovery through delivery
• Owning delivery of feature changes end to end that significantly affect core parts of the platform
• Assessing the business impact of different solutions and weighing tradeoffs between business and customer needs, technology requirements, and cost
• Running structured brainstorming and discovery sessions with Sales, accounts, and cross-functional partners to generate and prioritize product improvements
• Defining success metrics and outcome targets, such as time saved, plan accuracy, and bookings impact, and reporting progress to senior leadership
• Partnering with Engineering and Data Science to ship AI capabilities responsibly, including model inputs, explainability for users, and feedback loops that improve recommendations over time
• Working with other product teams to make sure recommendations connect cleanly to order entry, checkout, and downstream planning systems