Zebra Strategies

Financial Planning and Analysis

• Prepare monthly and quarterly financial performance analyses and presentations for executives and the Board.
• Act as a business partner to functional teams in developing headcount and operating expenses budgets and forecasts; track and optimize vendor expenses.
• Monitor financial performance against goals, identifying trends, variances, and risks; conduct in-depth analysis of financial data to support decision-making.
• Provide actionable insights and recommendations to the executive team to drive growth and profitability.
• Lead the annual budgeting process, including long-term financial planning and forecasting.
• Develop and implement financial strategies aligned with the company’s goals and objectives.
• Build strong relationships with business managers; become a trusted partner who delivers data-backed insights.
• Align stakeholders on assumptions, inputs, and goals; ensure forecasting processes remain coordinated and credible.
• Maintain and enhance internal controls and financial policies to ensure compliance and accuracy.
• Drive improvements in financial systems, tools, and processes to optimize efficiency.
• Support future financial system/process enhancements as the company scales.
• Mentor analysts; model accountability and high standards. Foster a culture of accountability, transparency, and financial discipline.
• Ensure team quality through review mechanisms, continuous learning, and clear ownership.
• Adapt to shifting priorities and help others navigate change; remain solutions-oriented, collaborative, curious, and fast-moving.

Senior Finance Manager

Data Scientist

• Build machine learning models to personalize our product and connect users with the policies that best fit their needs
• Work closely with cross-functional stakeholders to understand business needs and develop ML based solutions
• Analyze product data, design experiments, and drive the collection and integration of new data sources
• Write clean, maintainable production code to operationalize models using best practices from software engineering
• Perform peer code reviews, mentor other data scientists, and drive continuous improvement in our platform and practices

Senior Data Scientist

Content Marketing Manager

• Oversee The Zebra’s data-driven SEO landing pages, using original data and creating content that is educational and encourages consumers to use our insurance comparison product.
• Ideate, generate, edit, and publish SEO content at scale with the goal of driving organic traffic and revenue, supporting other marketing channels and link building initiatives
• Relay their knowledge of the insurance industry, pricing data and SEO to team members and help foster their growth and skills in these areas by training junior team members and contractors.
• Apply learnings from competitive intelligence analyses and content audits to The Zebra’s content and/or optimization processes.
• Monitor and stay ahead of Google, SEO developments, competitors, and industry trends to identify opportunities for improvement.
• Create detailed content briefs and blueprints for contractors and freelance writers, ensuring consistent quality and alignment with SEO and brand standards
• Optimize content for user intent and search journey—balancing keyword targeting with readability, page structure, and conversion paths
• Lead and support content projects within the team's scope, and assist with process improvements for streamlining workflows
• Collaborate cross-functionally with product, design, and analytics teams to ensure content supports broader business goals

Senior Content Specialist

Software Engineer

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Engineering Manager II

Performance Marketing

• Own performance marketing campaigns for our affiliate program (Impact Radius), media networks, and other emerging platforms.
• Continuously test new channels, partners, and creative formats to expand our reach and uncover scalable opportunities.
• Develop hypotheses, design experiments, and measure results to drive insights and optimize ROI.
• Manage budgets, pacing, and forecasts across multiple campaigns and channels.
• Partner with creative and brand teams to brief and refine ad assets tailored to each platform.
• Report on campaign performance, channel mix, and learnings to cross-functional stakeholders.
• Stay ahead of trends in performance marketing and identify new opportunities for growth.

Performance Marketing Manager

Data Analyst

• Conduct exploratory data analysis to uncover trends, patterns, and opportunities related to agent performance, customer interactions, and sales outcomes.
• Partner with agency leaders, enablement teams, and engineers to define data requirements that support improvements in agent workflows and customer experience.
• Work closely with agency teams to design, run, and analyze experiments, ensuring methodological rigor and actionable results.
• Deliver optimization insights for ongoing initiatives through ad-hoc analysis and intuitive performance dashboards.
• Monitor key agency metrics, KPIs, and customer behavior trends to proactively identify opportunities for operational improvement.
• Effectively communicate findings to both technical and non-technical teams, translating complex data into understandable and actionable stories.

Senior Data Analyst

Attorney

• Co-manage legal request intake, triage issues, and provide guidance on legal and compliance questions across the organization.
• Develop and enforce legal processes and policies to improve efficiency, facilitate change, and control costs, including legal billing guidelines and budget optimization.
• Co-manage legal technology solutions, including contract lifecycle management systems, e-signature platforms, AI tools, and vendor relationships.
• Identify and implement process improvements and best practices to enhance operational efficiency and reduce legal risk.
• Co-develop and maintain forms, playbooks, templates, and policies to support scalable legal operations.
• Assist with end-to-end contract lifecycle management, from drafting and negotiation to execution and compliance monitoring.
• Monitor contract and vendor timelines, including renewals and key milestones.
• Collaborate with external vendors and legal service providers to optimize service delivery and cost-effectiveness.
• Manage outside counsel usage and spend across all practice areas.
• Maintain trademark and patent portfolios including renewals and deadlines.
• Draft and send cease and desist letters for brand enforcement.
• Assist with IP litigation support, including evidence gathering, document production, and serving as liaison with outside counsel.
• Review and advise on marketing collateral (digital, print, web, email, video, paid media) for compliance with advertising and consumer protection laws, including insurance-specific regulatory requirements.
• Work closely with marketing teams on advertising claims, ensuring consistency with FTC guidelines, insurance regulatory standards, and prohibition on misleading statements in insurance advertising.
• Contribute to maintaining marketing claims bank, internal guidelines, and review checklists.
• Assist with responding to data subject access and deletion requests, ensuring timely processing and compliance.
• Work with SVP of Legal to ensure company stays current with evolving privacy laws (CCPA/CPRA and other U.S. state privacy laws).
• Support security reviews as needed.
• Provide legal support to cross-functional teams including marketing, sales, agency, customer support, IT/security, finance and other business units, contributing to the achievement of overall business objectives.
• Liaise closely with litigation, IP, employment, corporate, and other outside counsel on case management, scheduling, and records maintenance.
• Assist with M&A, financing, and legal diligence projects as needed.
• Request and maintain corporate records.
• Assist in developing training materials for legal and cross-functional teams on legal processes, corporate compliance, contract management and other relevant legal updates.

Legal Operations Lead

QA Engineer

• Work as an embedded member of a product development team and actively participate in Agile ceremonies
• Lead automation strategy and project-level testing efforts, advocating for quality and ensuring issues are properly identified, reported, and resolved
• Design, implement, and maintain scalable UI and API automation frameworks to increase coverage, efficiency, and reliability
• Serve as the technical authority for automated testing across the team’s features and contribute to shared automation standards
• Execute acceptance and exploratory testing to validate application functionality and uncover risk beyond automated coverage
• Identify testing gaps and drive solutions that improve automated test coverage and long-term maintainability
• Own and evolve central quality engineering tools, frameworks, and technical approaches used across teams
• Mentor and support quality engineers through technical guidance, code reviews, pairing, and documentation
• Collaborate with quality engineers and engineering leadership to improve SDLC, CI/CD integration, and deployment processes

Senior Quality Engineer

Full-stack Engineer

• Assist in the design, implementation, and maintenance of The Zebra comparison product and other products using Python, Django, FastAPI, GraphQL, ReactJS, and other modern technologies
• Deliver focused, maintainable, and performant code across different areas of our business, from adding new functionality to existing cloud-hosted microservices to creating new features supporting growth into new insurance lines
• Work closely with other engineers, designers, and engineering leadership to rapidly build, iterate, test, and deploy new features and products and maintain a high-quality robust codebase
• Improve and scale the existing products and tools to support our growth
• Act as a technical leader for the team and grow other engineers through example and mentorship

Senior Full-Stack Software Engineer

• Define and own the product vision, strategy, and roadmap for data science and machine learning initiatives
• Translate business problems into well-scoped data science use cases and product requirements
• Partner closely with data scientists, data engineers, and ML engineers to deliver models and data products end to end
• Prioritize features, experiments, and model improvements based on impact, feasibility, and risk
• Lead discovery efforts to identify opportunities where data science can create meaningful business value
• Ensure models are production-ready, monitored, and continuously improved post-launch
• Collaborate with engineering and platform teams on data infrastructure, tooling, and scalability
• Communicate clearly with stakeholders on trade-offs, timelines, model performance, and outcomes
• Define success metrics and evaluate product performance using quantitative and qualitative insights
• Ensure responsible use of data, including privacy, fairness, and ethical considerations