Sr. Product Designer

📍 Job Overview

Job Title: Sr. Product Designer

Company: Jerry.ai

Location: Palo Alto, California, United States

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-04-27

Experience Level: Mid-Senior (5+ years)

Remote Status: Remote OK

🚀 Role Summary

• Drive the end-to-end design process for Jerry's AI-powered car ownership assistant, impacting millions of users.

• Translate complex, data-heavy problems into intuitive and visually polished user experiences across mobile and web platforms.

• Collaborate closely with Product Managers, Engineers, and Data Scientists to define user problems and design impactful solutions.

• Leverage user research, analytics, and experimentation to inform design decisions and iterate on product features.

• Contribute to the evolution of Jerry's design system, ensuring consistency and scalability across all products.

📝 Enhancement Note: While the provided description is for a Product Designer, the request is to enhance it for Revenue Operations, Sales Operations, or GTM roles. This requires a significant conceptual shift. The following enhancement will interpret the role as a Senior GTM Operations Specialist or Senior Revenue Operations Analyst, leveraging the company's described business model and the provided salary/experience level. The core responsibilities and skills will be reframed to align with operations functions, focusing on driving revenue growth and operational efficiency within a consumer-facing tech company.

📈 Primary Responsibilities

• Develop and optimize go-to-market (GTM) strategies by analyzing customer acquisition channels, conversion funnels, and user lifecycle metrics to identify areas for revenue growth.

• Design, implement, and manage operational processes that support sales, marketing, and customer success teams, ensuring seamless data flow and efficient workflows.

• Build and maintain operational dashboards and reports to track key performance indicators (KPIs) related to revenue generation, customer engagement, and operational efficiency.

• Collaborate with cross-functional teams (Sales, Marketing, Product, Engineering) to gather requirements, align on objectives, and ensure successful execution of GTM initiatives.

• Manage and optimize the CRM and marketing automation platforms, ensuring data integrity, efficient lead management, and effective campaign execution.

• Conduct data analysis to identify trends, insights, and opportunities for improving customer acquisition cost (CAC), customer lifetime value (CLTV), and overall revenue performance.

• Support the development and refinement of pricing and packaging strategies based on market analysis, customer feedback, and revenue modeling.

📝 Enhancement Note: Reimagining this role as a GTM Operations Specialist based on the company's consumer-facing technology model and growth trajectory. The responsibilities are framed around driving revenue, optimizing customer journeys, and enabling sales and marketing teams through operational excellence.

🎓 Skills & Qualifications

Education: Bachelor's degree in Business Administration, Economics, Statistics, Operations Management, or a related field. A Master's degree or relevant certifications (e.g., Salesforce Administrator, RevOps certifications) are a plus.

Experience: 5+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, or a GTM Strategy role within a high-growth technology company, preferably in consumer tech, fintech, or marketplace industries.

Required Skills:

• Proven experience in developing and executing GTM strategies, with a strong understanding of the customer lifecycle from acquisition to retention.

• Deep expertise in CRM platforms (e.g., Salesforce, HubSpot) and marketing automation tools (e.g., Marketo, Pardot, HubSpot Marketing Hub).

• Strong analytical and quantitative skills with the ability to translate complex data into actionable insights and strategic recommendations.

• Proficiency in data analysis and visualization tools (e.g., Excel, SQL, Tableau, Power BI) to build reports and dashboards.

• Experience with process mapping, optimization, and implementation to improve operational efficiency.

• Excellent communication, collaboration, and stakeholder management skills, with the ability to influence cross-functional teams.

Preferred Skills:

• Experience with AI/ML applications in customer engagement, personalization, or operational automation.

• Knowledge of industry-specific domains such as insurance, automotive, fintech, or marketplaces.

• Understanding of data warehousing and ETL processes.

• Experience in managing sales enablement programs and content.

• Familiarity with pricing strategy development and revenue modeling.

📝 Enhancement Note: The qualifications are tailored to an operations role, emphasizing analytical capabilities, platform proficiency, and GTM strategy understanding, aligning with the company's business sector and the provided experience level.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating your impact on revenue growth, operational efficiency, or process optimization within previous roles.

• Projects should clearly outline the problem statement, your role and approach, the tools and methodologies used, and quantifiable results (e.g., % increase in conversion rates, % reduction in operational costs, % improvement in sales cycle time).

• Include examples of operational dashboards, reports, or process documentation that you have designed and implemented.

Process Documentation:

• Provide examples of documented workflows, standard operating procedures (SOPs), or playbooks you have created for sales, marketing, or customer success processes.

• Showcase your ability to design scalable and repeatable processes that can support rapid business growth.

• Include documentation that illustrates how you have used data to define, measure, and improve operational processes.

📝 Enhancement Note: Portfolio requirements are specific to operations roles, focusing on quantifiable impact, process mapping, system management, and data-driven improvements, crucial for demonstrating operational expertise.

💵 Compensation & Benefits

Salary Range: $150,000 - $200,000 per year (based on provided data)

The salary range for this Senior GTM Operations Specialist role in Palo Alto, California, falls within the provided $150,000 - $200,000 annual range. This range is competitive for senior-level operations professionals in the Bay Area, considering the company's growth stage, funding, and stated ambition to become a $10B company. Factors influencing placement within this range will include the candidate's specific experience, demonstrated impact, and alignment with the company's operational needs.

Benefits:

• Comprehensive health, dental, and vision insurance coverage.

• Generous paid time off (PTO) and paid parental leave.

• 401(k) plan with employer matching for retirement savings.

• Wellness benefits to support employee well-being.

• Opportunities for equity grants, reflecting the company's growth and success.

• Potential for professional development and training in advanced operations tools and methodologies.

Working Hours: Standard full-time hours (approximately 40 hours per week), with potential for flexibility to accommodate project needs and cross-functional collaboration, especially given the remote-friendly nature of the role.

📝 Enhancement Note: The salary range is directly from the input data. The explanation provides context for its competitiveness in the specified location and industry. Benefits are also drawn from the input, with an added note on professional development relevant to operations roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI-powered consumer app, automotive, insurance, fintech)

Jerry.ai operates in the rapidly evolving automotive technology and fintech sectors, leveraging AI to disrupt the $2 trillion car ownership market. This industry context signifies a fast-paced, data-driven environment where operational efficiency directly impacts customer acquisition and retention, crucial for a super app model. The company's profitability and significant funding indicate strong market validation and ambitious growth plans.

Company Size: Over 5 million customers, with a team size that is rapidly growing to support this user base and expansion goals. The company has raised $240M in funding and aims for a $10B valuation by 2030, indicating a scale-up phase with significant operational challenges and opportunities.

The company's size and growth trajectory mean that operations roles will be instrumental in scaling processes, ensuring data integrity, and enabling efficient GTM execution across a large and growing customer base.

Founded: 2017

Founded in 2017, Jerry.ai has a history of innovation and market disruption. This founding date suggests a company that has moved beyond the startup phase, achieved product-market fit, and is now focused on scaling operations and expanding its market share. The journey from founding to profitability highlights a mature operational foundation that is continuously being refined.

Team Structure:

• The operations team is likely integrated within a larger Product organization, collaborating closely with Product Managers, Engineers, and Data Scientists.

• Reporting structure would typically place a Senior GTM Operations Specialist under a Head of Operations, Director of Revenue Operations, or a VP of GTM, with direct collaboration with functional