Sr. Product Manager

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Rivian is looking for a Senior or Staff Product Manager to lead the evolution of our web experiences across the upper funnel—from discovery and consideration through configuration, lead capture, and purchase intent. This role will help make every interaction more relevant, useful, and motivating for prospective customers while creating a connected experience across growth, brand, marketing, experimentation, and analytics. You will operate at the intersection of product, marketing science, data, design, technology, and commercial strategy. You will turn customer and business insights into a clear product strategy, then work with cross-functional partners to deliver experiences that build trust, increase engagement, and move customers forward in their journey with Rivian. As Rivian moves into an increasingly agentic and personalized era, you will help define how a direct-to-consumer automotive experience should work: responsive to customer intent, grounded in strong marketing fundamentals, and continuously improved through learning and experimentation. Responsibilities Own the product strategy and roadmap for Rivian’s upper-funnel web experiences, including discovery, education, consideration, conversion, and re-engagement. Partner with Marketing, Brand, Design, Analytics, Data Science, and Engineering to shape and deliver Rivian’s personalization and growth efforts across the web funnel. Collaborate with business and technical teams to define how customer identity, context, behavior, intent, lifecycle stage, and other signals can inform what each customer sees and does. Define how web experiences should adapt to customer context, behavior, intent, needs, and stage in the journey while maintaining a coherent and trusted brand experience. Partner closely with Growth, Brand, Marketing, Creative, Analytics, Research, Engineering, and Design to connect business objectives with customer-centered product experiences. Translate the science of marketing—including segmentation, positioning, messaging, attribution, lifecycle thinking, behavioral psychology, and conversion principles—into direct-to-consumer product strategies. Partner with business and technical teams to establish a disciplined experimentation practice across the web funnel, including hypothesis development, test design, prioritization, measurement, and synthesis of learnings. Build the frameworks, metrics, and decision-making practices that enable the team to continuously improve relevance, engagement, and conversion—not just run isolated A/B tests. Define how search, recommendations, content, and conversational discovery should work together across the web journey. Develop a clear measurement framework for upper-funnel engagement and experience quality, balancing leading indicators with downstream commercial outcomes. Identify opportunities to use AI and agentic capabilities to make web discovery, education, personalization, and decision support more helpful and efficient. Bring rigor to customer journey mapping and funnel analysis, identifying friction, unmet needs, and opportunities to improve progression through the purchase journey. Create alignment across stakeholders by articulating a compelling vision, making thoughtful tradeoffs, and communicating decisions clearly to senior leadership. Partner with technical and business teams across the customer data and marketing technology ecosystem—including CDP, CRM such as Salesforce, marketing automation, content management, experimentation, analytics, and customer journey platforms—to connect signals, audiences, experiences, and measurement. Partner with technical teams to define scalable capabilities, data requirements, experimentation infrastructure, and platform investments that can support increasingly personalized experiences. Ensure that customer trust, privacy, transparency, accessibility, and brand integrity are considered in personalization and experimentation decisions. Coach and elevate other product managers through strong product practices, clear thinking, and a high bar for customer and business outcomes. Qualifications Significant product management experience building consumer-facing digital products, web experiences, personalization, growth products, or marketing technology. Deep understanding of the web funnel and the ways customers move from awareness and consideration to intent, conversion, and ongoing engagement. Strong foundation in marketing science and the ability to apply concepts such as segmentation, positioning, messaging, experimentation, and behavioral design to product decisions. Demonstrated experience partnering across marketing, design, analytics, data science, and engineering to advance personalization, growth, and customer experience outcomes through experimentation and iterative product development. Experience working on personalization, recommendation, search, ranking, lifecycle, or other machine-learning-powered consumer product areas. Ability to connect qualitative customer insight, quantitative analysis, and business context into a clear product direction. Experience partnering with brand, marketing, creative, analytics, engineering, and design organizations in a complex, cross-functional environment. Strong product judgment and the ability to balance short-term conversion opportunities with long-term customer trust and brand equity. Comfort working with ambiguity and shaping new product spaces, especially where AI, personalization, and emerging interaction models are involved. Technical fluency in the product tradeoffs behind personalization, including signal quality, cold start, feedback loops, relevance, explainability, experimentation, and model or rules-based decisioning. A principled approach to trust, fairness, privacy, transparency, and inclusivity in algorithmic and AI-powered experiences. Excellent written, verbal, and executive communication skills. A customer-first mindset and a bias toward learning, action, and measurable outcomes. Preferred Qualifications Experience with automotive, mobility, retail, travel, financial services, or another high-consideration direct-to-consumer category. Experience building personalized, recommendation-driven, conversational, or agentic customer experiences. Experience working across customer data and marketing technology platforms, including CDPs, CRM systems such as Salesforce, marketing automation, experimentation and testing platforms, analytics tools, and content or commerce systems. Experience designing experiences that span multiple channels or connect marketing engagement to sales and service outcomes. Experience operating at Staff level, including setting direction across multiple teams and influencing without direct authority. How Success Will Be Measured Increased quality and efficiency of engagement across the upper-funnel web experience. Improved progression from discovery and consideration into meaningful purchase intent. A stronger, more consistent, and more personalized direct-to-consumer experience. A durable experimentation and learning system that improves decision quality over time. Clear adoption of a multi-year product strategy across cross-functional partners. Measurable improvements in customer understanding, trust, and experience quality alongside commercial performance. Pay Disclosure The salary range for this role is $132,100 - $165,100 for Palo Alto based applicants, $121,500 - $151,900 for South California based applicants, and $96,800 - $121,000 for Vancouver based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. The successful candidate may be eligible for annual performance bonus and equity awards. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected]. Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Please note that we are currently not accepting applications from third party application services.
Own the product strategy and roadmap for Rivian’s upper-funnel web experiences, including discovery, education, consideration, conversion, and re-engagement. Partner with Marketing, Brand, Design, Analytics, Data Science, and Engineering to shape and deliver Rivian’s personalization and growth efforts across the web funnel. Collaborate with business and technical teams to define how customer identity, context, behavior, intent, lifecycle stage, and other signals can inform what each customer sees and does. Define how web experiences should adapt to customer context, behavior, intent, needs, and stage in the journey while maintaining a coherent and trusted brand experience. Partner closely with Growth, Brand, Marketing, Creative, Analytics, Research, Engineering, and Design to connect business objectives with customer-centered product experiences. Translate the science of marketing—including segmentation, positioning, messaging, attribution, lifecycle thinking, behavioral psychology, and conversion principles—into direct-to-consumer product strategies. Partner with business and technical teams to establish a disciplined experimentation practice across the web funnel, including hypothesis development, test design, prioritization, measurement, and synthesis of learnings. Build the frameworks, metrics, and decision-making practices that enable the team to continuously improve relevance, engagement, and conversion—not just run isolated A/B tests. Define how search, recommendations, content, and conversational discovery should work together across the web journey. Develop a clear measurement framework for upper-funnel engagement and experience quality, balancing leading indicators with downstream commercial outcomes. Identify opportunities to use AI and agentic capabilities to make web discovery, education, personalization, and decision support more helpful and efficient. Bring rigor to customer journey mapping and funnel analysis, identifying friction, unmet needs, and opportunities to improve progression through the purchase journey. Create alignment across stakeholders by articulating a compelling vision, making thoughtful tradeoffs, and communicating decisions clearly to senior leadership. Partner with technical and business teams across the customer data and marketing technology ecosystem—including CDP, CRM such as Salesforce, marketing automation, content management, experimentation, analytics, and customer journey platforms—to connect signals, audiences, experiences, and measurement. Partner with technical teams to define scalable capabilities, data requirements, experimentation infrastructure, and platform investments that can support increasingly personalized experiences. Ensure that customer trust, privacy, transparency, accessibility, and brand integrity are considered in personalization and experimentation decisions. Coach and elevate other product managers through strong product practices, clear thinking, and a high bar for customer and business outcomes.
Significant product management experience building consumer-facing digital products, web experiences, personalization, growth products, or marketing technology. Deep understanding of the web funnel and the ways customers move from awareness and consideration to intent, conversion, and ongoing engagement. Strong foundation in marketing science and the ability to apply concepts such as segmentation, positioning, messaging, experimentation, and behavioral design to product decisions. Demonstrated experience partnering across marketing, design, analytics, data science, and engineering to advance personalization, growth, and customer experience outcomes through experimentation and iterative product development. Experience working on personalization, recommendation, search, ranking, lifecycle, or other machine-learning-powered consumer product areas. Ability to connect qualitative customer insight, quantitative analysis, and business context into a clear product direction. Experience partnering with brand, marketing, creative, analytics, engineering, and design organizations in a complex, cross-functional environment. Strong product judgment and the ability to balance short-term conversion opportunities with long-term customer trust and brand equity. Comfort working with ambiguity and shaping new product spaces, especially where AI, personalization, and emerging interaction models are involved. Technical fluency in the product tradeoffs behind personalization, including signal quality, cold start, feedback loops, relevance, explainability, experimentation, and model or rules-based decisioning. A principled approach to trust, fairness, privacy, transparency, and inclusivity in algorithmic and AI-powered experiences. Excellent written, verbal, and executive communication skills. A customer-first mindset and a bias toward learning, action, and measurable outcomes. Preferred Qualifications Experience with automotive, mobility, retail, travel, financial services, or another high-consideration direct-to-consumer category. Experience building personalized, recommendation-driven, conversational, or agentic customer experiences. Experience working across customer data and marketing technology platforms, including CDPs, CRM systems such as Salesforce, marketing automation, experimentation and testing platforms, analytics tools, and content or commerce systems. Experience designing experiences that span multiple channels or connect marketing engagement to sales and service outcomes. Experience operating at Staff level, including setting direction across multiple teams and influencing without direct authority. How Success Will Be Measured Increased quality and efficiency of engagement across the upper-funnel web experience. Improved progression from discovery and consideration into meaningful purchase intent. A stronger, more consistent, and more personalized direct-to-consumer experience. A durable experimentation and learning system that improves decision quality over time. Clear adoption of a multi-year product strategy across cross-functional partners. Measurable improvements in customer understanding, trust, and experience quality alongside commercial performance.