Mixbook is a leading design platform that empowers consumers to create personalized photo books, cards, calendars, and home decor products with unrivaled creative freedom. Founded in 2006, Mixbook…
Mixbook is a leading design platform that empowers consumers to create personalized photo books, cards, calendars, and home decor products with unrivaled creative freedom. Founded in 2006, Mixbook…
Tech emphasis: AI-enabled editing and cloud architectures
Total funding (publicly listed): USD 22,500,000 (last round listed 2011)
Company Overview
Problem Domain
Consumer photo personalization and print-on-demand products
Founded
2006
Industry
E-commerce / Consumer Products / Photo Printing
Tech Stack
AI-powered design tools
React
native mobile frameworks
cloud architectures
Funding Track Record
Series B- 2011-08-01
Most-recent funding round listed on Crunchbase is a Series B dated Aug 1, 2011
- 2009-01-28
Venture round recorded on Crunchbase (2009)
Investor Signal
“Level Equity Management; Steamboat Ventures; Longworth Venture Partners; Band of Angels; Labrador Ventures”
Founders
What we do
Join the Team
Data Vice President
RemoteRemote (US), US
Remote • Remote (US), US
Who you are
You are a hands-on, visionary data leader who thrives in building from the ground up
With deep expertise in Data Science and Analytics, fluency in data engineering, and a track record of turning data into measurable business wins, you see data as a service to the organization
You’re equal parts architect and operator—scrappy in the early stages, scaling teams and capabilities over time—while automating workflows, enabling self-serve analytics, and fostering trust across every corner of the business
You lead with zero politics, mentor future leaders, and embrace emerging AI tools to keep the organization ahead of the curve
Data Strategy Leadership: Proven ability to architect, communicate, and execute a bold, business-aligned data vision in smaller, high-growth environments
Executive Influence: Adept at framing data insights for C-level audiences and driving strategic decisions through trusted analytics
Technical Acumen: Deep knowledge of modern data infrastructure (eg, Redshift, dbt, Airflow, Looker), ETL pipelines, governance systems, and cloud-based environments
Analytics and Data Science Expertise: Strong mastery of BI, statistical modeling, machine learning, and experimentation frameworks
Data Governance and Privacy Knowledge: Understanding of compliance frameworks (eg, GDPR, CCPA), data lifecycle management, and privacy-by-design principles
Cross-Functional Communication: Ability to translate technical data concepts into business implications and influence without authority
Leadership and Team Development: Demonstrated success mentoring and developing data professionals into senior leaders and directors
Operational Fluency: Comfort operating with limited historical data, ambiguous business needs, and evolving product-market signals
Hands-on builder mentality: Experienced starting with small teams and limited resources, then scaling to a high-performing organization
12+ years of progressive experience in data, analytics, and data science roles, including 5+ years leading data organizations at the VP level
Prior experience in consumer tech, DTC, or eCommerce preferred. Experience operating in global, remote, or fast-scaling environments is a plus
Track record of influencing product, engineering, marketing, and executive teams through data-backed decision-making
Experience automating data workflows and enabling self-service analytics across the organization
Experience standing up company-wide data governance and privacy frameworks, especially those touching customer data and regulatory requirements
Passion for making data a strategic business asset, not just a back-office function
Already be experimenting with modern AI tools and be eager to expand their application within the organization
Capable of delivering personally in the early stages, then delegating effectively as the team grows
What the job involves
Benefits
Full medical, dental and vision coverage
401k Matching
Unlimited PTO
Commuter & gym membership benefits
Snacks!
Pay to Play Vacation Bonus
Wellbeing & Mental Health Benefits
Health & Childcare Flexible Spending Accounts
Life Insurance
Home Office Stipend
Education Stipend
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The Vice President of Data is a mission-critical executive role responsible for leading Mixbook’s functional data organization
This leader will architect a clear, scalable data strategy that drives decision-making, unlocks customer insights, and ensures the integrity, governance, and performance of Mixbook’s data systems, making our data unified and integrated
Reporting to the CEO, this leader will work cross-functionally with Product, Engineering, Marketing, Finance, and Operations to ensure that data is not just collected, but trusted, actionable, and deeply embedded in how Mixbook operates and grows
This is not a legacy function. It’s a greenfield opportunity to define how data shows up at Mixbook - from modern infrastructure and analytics to predictive modeling and compliance - while creating the visibility and velocity that turns data into a competitive edge
Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions
Build and Lead the Data Organization: Design the structure, operating model, and roadmap for Mixbook’s functional data team including analytics, data science, and data governance, and hire, develop, and lead a high-performing team
Define and Operationalize Data Strategy: Establish and execute a data strategy that aligns with Mixbook’s growth goals and product roadmap, ensuring the right architecture, tools, and processes are in place to deliver trusted data at scale
Drive Business Intelligence and Insights: Partner with executive stakeholders to define key metrics, unlock business insights, and improve visibility into customer behavior, funnel performance, revenue growth, LTV, CAC, and operational efficiency
Establish Data Governance and Compliance Standards: Develop policies and systems to safeguard data quality, access, retention, and regulatory compliance (eg, GDPR, CPRA). Lead implementation of a scalable governance framework across teams
Enable Predictive Modeling and Experimentation: Apply statistical modeling and machine learning techniques to develop forecasting models and predictive analytics that guide product, marketing, and customer decisions
Partner Cross-Functionally to Drive Impact: Work closely with Product, Engineering, Finance, and Marketing to embed data strategy into product development, experimentation, financial forecasting, and campaign design
Ensure Data Infrastructure Performance and Scalability: Influence decisions on architecture, tooling, and engineering standards to support data availability, speed, and security in both production and analytical environments
Promote a Culture of Data Fluency and Curiosity: Uplift data literacy and ownership across Mixbook by making data more accessible, trustworthy, and actionable for stakeholders at all levels of the organization
Drive innovation through AI and emerging technologies: Actively explore, test, and integrate modern AI tools into data products, analytics workflows, and business processes to enhance decision-making and accelerate outcomes
Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice
You'll contribute to a product loved by millions and help people create lasting memories
You'll thrive in a healthy culture that values collaboration, growth, and open communication
You'll work with talented individuals who are passionate about what they do, and you'll enjoy competitive benefits and perks to support your well-being
