Digital Product Lead - Remote, AI & Strategy

Tailored Brands, Inc.

Dublin (CA)

On-site

USD 141,100 - 220,000

Full time

14 days+

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Benefits offered by this job

Healthcare

401(k) with company match

Paid time off

Employee product discounts

Job summary

Tailored Brands, Inc. is seeking a Lead Product Manager to drive strategy, roadmap, and outcomes across multiple digital product domains.

You’ll navigate ambiguity, align senior stakeholders, and elevate product management practices across the organization. You will own discovery and delivery with Engineering and Design, lead AI-native initiatives, and deliver measurable customer and business outcomes across e-commerce and omnichannel experiences, while mentoring teams and setting reusable

Qualifications

12+ years of product management experience delivering customer-facing digital products.
Bachelor’s degree in business, marketing or another related field preferred.
Demonstrated success defining product strategy and delivering measurable customer and business outcomes across complex initiatives or multiple product domains.
Exceptional product judgment with the ability to navigate ambiguity, evaluate tradeoffs, and make high-quality strategic decisions.
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, senior stakeholders, and senior leadership throughout the product lifecycle.
High degree of ownership, accountability, continuous learning, and bias toward action.

Responsibilities

Own strategy, roadmap, and outcomes across product domains aligned to company strategy.
Use customer research, analytics, experimentation, and business insight to identify high-impact opportunities.
Lead multi-team product discovery spanning multiple teams balancing customer value, business objectives, technical feasibility, and priorities.
Make high-quality product decisions by synthesizing evidence, weighing tradeoffs, and creating clarity through ambiguity.
Partner with Engineering throughout delivery, supporting release planning, experimentation, and post-launch measurement.
Build alignment across Product, Engineering, Design, stakeholders, and leadership through thoughtful communication and influence.
Raise the quality of product management by developing and following reusable frameworks, operating practices, and setting standards that help teams make better product decisions.
Champion experimentation and continuous learning, ensuring product investments are measured, validated, and iterated based on customer and business outcomes.
Lead AI-native product management by identifying emerging capabilities, developing reusable AI workflows, and helping the organization thoughtfully integrate AI to improve research, decision-making, execution, and operational effectiveness while maintaining accountability for outcomes.