Who We Are
Zenni pioneered the online eyewear industry in 2003 with a mission to make eyewear affordable and accessible for everyone. With complete prescription pairs starting under $10, Zenni offers adults and children the freedom to see clearly and express themselves through a wide selection of high-quality prescription glasses, sunglasses, protective eyewear, and non-prescription frames - curated with fashion, function, and style in mind.
Based in the San Francisco Bay Area, Zenni has redefined the traditional retail model, emerging as the premier destination for online eyewear in the United States while surpassing 70 million frames sold globally.
Zenni is proud to be the Official Eyewear of the San Francisco 49ers, Columbus Crew, Monster Jam, WWE, Team Liquid, and more. Zenni has collaborated with designers and tastemakers on exclusive collections, including Chase Stokes and George and Claire Kittle. For more information, visit zenni.com.
Zenni is experiencing rapid growth in the affordable eyewear space, and data is at the core of our success. We are seeking a Manager, Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team.
In this leadership role, you will bridge the gap between complex data architecture and strategic marketing initiatives. You will be responsible for translating large datasets into clear, actionable insights, empowering our cross-functional teams to make confident, informed decisions. By building robust data solutions and fostering strong collaboration across departments, you will directly impact our operational efficiency and drive revenue growth. If you are a collaborative leader who excels at leveraging data to solve real-world business challenges, this could be the next move for you! This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering.
Responsibilities:- Champion data literacy: Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
- Drive cross-functional alignment: Act as the strategic bridge between the Data and Engagement Marketing teams, streamlining communication to boost operational efficiency and collaboration.
- Power marketing platforms: Integrate enriched, highly trusted data with key business platforms (e.g.,Google, Tik Tok, Meta) to optimize ad delivery and AI performance.
- Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
- Define success metrics: Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
- Shape the data roadmap: Lead the strategic planning for the data team, ensuring technical initiatives directly align with Zenni’s overarching growth objectives.
- Innovate continuously: Stay at the forefront of modern data engineering technologies and industry trends to evolve our strategy and keep our technical capabilities competitive.
- Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical discipline.
- 8+ years of dedicated experience in the data area, coupled with at least 3 years navigating the fast-paced e-commerce landscape.
- Deep business domain knowledge across key marketing functions, including but not limited to Performance Marketing, Lifecycle, and Brand Marketing.
- Hands-on experience implementing marketing measurement methodologies, including Last-Touch, MTA, incrementality testing, MMM, and CVR measurement frameworks.
- Extensive experience designing data architecture, performing complex data modeling, and building scalable ETL/ELT pipelines for centralized data warehouses.
- Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a hands-on contributor.
- Demonstrated success leading projects from start to finish, spanning requirement gathering, cross-functional stakeholder communication, architecture design, implementation, and QA.
- Proactive leadership and cross-functional communication skills, with a proven ability to drive business impact.
- Hands-on expertise working within Databricks environments.
- Proven track record of guiding and mentoring high-velocity data teams in a fast-paced setting.
- Demonstrated success managing complex data integrations, advanced reporting, and platform optimization across diverse marketing channels.
- An enthusiastic, proactive approach to tackling new technical challenges and driving continuous improvement.
- Annual bonus program
- 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
- Life, AD&D, and disability coverage (with optional add-ons)
- 401(k) with up to 4% match
- Comprehensive wellbeing programs (mental, physical, emotional support)
- Lifestyle Spending Account (wellbeing + learning)
- Work-from-home stipend (for eligible roles)
- Generous Flexible Time Off in addition to our Week of Zen - the time between Christmas and New Year’s to relax and recuperate
- Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
- Family forming & fertility support and services through Maven
- Annual Zenni Gift Card - to use towards our products!
Compensation
In addition to other forms of compensation like perks and benefits, the estimated range for this role is $155,000 - $183,000 USD. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.
(U.S. ONLY) Please Note: We are registered in some, but not all states. If you are located in one of the following states full time, we welcome you to apply: Arizona, California, Colorado, Florida, Georgia, Illinois, Kansas, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Texas.
At Zenni Optical, people remain the heart of our mission, even as we embrace technology that moves us forward. While we recognize the immense promise of AI, we are equally mindful of its limitations and use these tools strictly to assist our Talent Acquisition team rather than replace human judgment. We utilize AI tools as a collaborative partner to create content–such as job descriptions, interview questions, and outreach messaging–and review resumes, but we maintain a firm commitment to human-led hiring where AI never makes a final decision. Every selection is determined by a member of our team to ensure every candidate is personally valued by a human rather than an algorithm.
We look forward to hearing from you!
We strive to build a diverse team of individuals with a broad range of experience and perspectives. We encourage you to apply even if you don’t feel you meet all the qualifications.
Zenni Optical is an equal opportunity workplace and considers applications without regard to race, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
