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Swiftly

Director of Product Management, Data & AI

Posted 3 Days Ago
Remote
Hiring Remotely in United States
200K-250K Annually
Senior level
Remote
Hiring Remotely in United States
200K-250K Annually
Senior level
Lead the vision and strategy for data and AI product management, overseeing product lifecycle, data architecture, and team collaboration to drive business outcomes.
The summary above was generated by AI
Swiftly is a retail digital technology startup founded in 2018 and headquartered in the Bay Area. We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees. Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.
With 70+ retailer banners and Series C funding, Swiftly is the first in the industry to seamlessly connect digital and in-store shopping. Our AI-powered platform helps retailers build strong digital relationships, while our solutions—Audience Optimizer™, Alcohol Cashback, and Offsite Campaigns—drive shopper engagement and brand success.

Our mission: Enable brick-and-mortar retailers to thrive in a digital world.

Position Summary:
Swiftly is seeking a Director of Product Management, Data & AI to lead the vision, strategy, and execution of our data platform and AI-driven capabilities. This leader will own the end-to-end product lifecycle for data infrastructure, telemetry, measurement, experimentation, and machine-learning–powered solutions that drive retailer, advertiser, and internal business outcomes. 
This role sits at the intersection of Product, Engineering, Data Science, Analytics, Revenue, and Customer Success. The Director will shape how data is collected, governed, modeled, activated, and monetized across a complex multi-tenant retail media and commerce ecosystem. The ideal candidate combines strong product leadership, deep data fluency, and the ability to translate ambiguous business needs into scalable, high-impact platforms and products. 

Responsibilities Include:

  • Define and execute the multi-year roadmap architecture for ETL pipelines, telemetry, identity, storage, transformation, and activation layers 
  • Partner with Engineering and Analytics Engineering to evolve scalable, reliable, and cost-efficient data architecture 
  • Establish product requirements for client telemetry, event tracking standards, and data quality frameworks 
  • Drive governance, privacy, and compliance alignment across retailer and advertiser data flows 
  • Lead initiatives that improve data completeness, accuracy, and trust, especially where incomplete or inconsistent data impacts business KPIs 
  • Develop and scale reporting, dashboards, and self-serve analytics capabilities for internal teams and external partners 
  • Balance foundational platform investments with high-revenue product domains such as audience optimization, personalized advertising, rebates, and promotional systems 
  • Align data strategy with adjacent domains including loyalty, rewards, ecommerce, challenges, and catalog intelligence 
  • Evaluate trade-offs between technical debt reduction and new feature development to maximize long-term platform health and business impact 
  • Partner with Data Science to deliver ML-powered personalization, audience optimization, and predictive insights 
  • Translate experimentation, modeling, and algorithmic outputs into usable and explainable product features 
  • Identify and prioritize AI opportunities that drive revenue growth, operational efficiency, and competitive differentiation 
  • Mentor Product Managers focused on data and AI initiatives 
  • Serve as the connective tissue between Product, Engineering, Data Science, Design, Revenue, and Operations 
  • Establish intake, prioritization, and roadmap governance processes for data-related initiatives across the organization 
  • Communicate vision, progress, and outcomes to executive leadership and stakeholders with clarity and credibility 

Required Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Business, or related field (MBA preferred) 
  • 8–12+ years in Product Management, with significant experience in data platforms, analytics, or AI/ML-driven products  
  • Proven experience managing data-driven products and leading cross-functional teams 
  • Strong understanding of data ingestion processes, ETL, data warehousing, and reporting technologies 
  • Experience with personalization algorithms, recommendation systems, and machine learning applications 
  • Excellent analytical skills with the ability to make data-informed decisions 
  • Exceptional leadership, communication, and collaboration skills 
  • Proven ability to influence and coordinate cross-functional teams to achieve strategic priorities 
  • Strong communication skills, with the ability to convey technical details and high-level strategy to a diverse audience 
  • Experienced in addressing executive leadership, supporting the sales cycle, and handling sensitive customer issues 
  • Solid understanding of the software development lifecycle and online services management 
  • Skilled at collaborating across diverse teams and complex organizations to drive results 
  • Experience leading technology discussions related to product decisions and strategy 
  • Demonstrated experience in managing roadmap strategy, feature delivery, and product trade-offs 
  • This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship   

Preferred Qualifications:

  • Background in retail media, ad tech, martech, ecommerce, or multi-tenant SaaS platforms 
  • Prior experience in the advertising technology space is a strong plus 
  • Experience with attribution modeling, incrementality testing, or performance marketing analytics 
  • Familiarity with modern analytics stacks, feature stores, and ML lifecycle tooling 
  • MBA or equivalent business and technical leadership experience 
  • Passion for technology, curiosity to dive deep into Swiftly’s suite of technical products and commitment to learning and expanding technical knowledge 

#LI-Remote
Note: This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

Working For Swiftly
We are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment. 

Every Swiftly employee: 
-Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment 
-Takes ownership of their domain from the ground up, from inception through deployment to customers 
-Leaves their ego at the door and ensures the best idea leaves the room 
-Is always experimenting with new technologies and learning new skillsets 

If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you. 

Equal Opportunity Employer 
Swiftly is an Equal Employment Opportunity and Affirmative Action Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.  
Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process. 

Top Skills

Analytics
Data Warehousing
ETL
Machine Learning
Personalization Algorithms

Swiftly Seattle, Washington, USA Office

We have offices in Seattle, the Bay Area, and a remote workforce.

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