Senior Product Manager, E‑commerce & AI (Remote)

Tailored Brands, Inc.

United States

Remote

USD 130,000 - 190,000

Full time

4 days ago

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Benefits offered by this job

Healthcare

401k with match

Paid time off

Wellbeing program

Adoption assistance

Education assistance

Legal services

Employee merchandise discounts

Job summary

Tailored Brands, Inc. is seeking a senior Product Manager to own a digital product domain across our brands (Men's Wearhouse, Jos. A.

Bank, Moores, K&G). You will shape strategy, guide discovery with Engineering and Design, and lead delivery from concept to measurable outcomes in a remote work setting. You will leverage customer research, analytics, and experiments to prioritize opportunities, drive roadmaps, and align stakeholders while applying AI to accelerate insights, maintaining

Qualifications

8+ years of product management experience delivering customer-facing digital products.
Bachelor's degree in business, marketing or another related field preferred.
Demonstrated success leading products from discovery through measurable customer and business outcomes.
Strong experience defining product strategy, prioritization, experimentation, and roadmaps.
Excellent analytical, communication, and stakeholder management skills.
Ability to navigate ambiguity, make sound product decisions, and influence cross-functional teams.
Experience partnering closely with Engineering, Design, and business stakeholders throughout the product lifecycle.
High degree of ownership, accountability, and bias toward action.

Responsibilities

Own the strategy, roadmap, execution, and measurable outcomes for a product domain.
Use customer research, analytics, experimentation, and business insight to identify and prioritize the highest-impact opportunities.
Lead cross-functional discovery with Engineering and Design to define customer problems before developing solutions.
Make thoughtful product decisions by balancing customer value, business impact, technical complexity, and delivery risk.
Partner with Engineering throughout delivery, supporting release planning, experimentation, and post-launch measurement.
Build alignment across stakeholders through clear communication, evidence based recommendations, and influence without direct authority.
Continuously improve products through measurement, iteration, and learning.
Leverage AI throughout the product lifecycle to improve research, planning, analysis, and execution while maintaining full accountability for every product decision.