Sr. Product Manager

Rivian is evolving its upper-funnel web experiences to help customers move from discovery to configuration, capture lead intent, and build meaningful progression toward purchase. In this role, you will turn customer and business insights into a focused product strategy, working with cross-functional partners to deliver connected, personalized web experiences that improve through learning and experimentation.

Responsibilities

• Own the product strategy and roadmap for upper-funnel web experiences, spanning discovery, education, consideration, conversion, and re-engagement.
• Partner with Marketing, Brand, Design, Analytics, Data Science, and Engineering to shape and deliver 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 inform what each customer sees and does.
• Define how web experiences adapt to customer context, behavior, intent, needs, and journey stage while keeping the experience coherent and aligned with brand trust.
• Translate marketing science into direct-to-consumer product strategies, including segmentation, positioning, messaging, attribution, lifecycle thinking, behavioral design, and conversion principles.
• 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 continuous improvement in relevance, engagement, and conversion.
• Define how search, recommendations, content, and conversational discovery work together across the web journey.
• Develop a 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 improve web discovery, education, personalization, and decision support.
• Bring rigor to customer journey mapping and funnel analysis to uncover friction, unmet needs, and opportunities to improve progression through the purchase journey.
• Drive alignment across stakeholders by communicating vision, making thoughtful tradeoffs, and clearly articulating decisions to senior leadership.
• Partner across the customer data and marketing technology ecosystem, connecting signals, audiences, experiences, and measurement across tools such as CDP, CRM (including Salesforce), marketing automation, content management, experimentation, analytics, and customer journey platforms.
• Work with technical teams to define scalable capabilities, data requirements, experimentation infrastructure, and platform investments that support increasing personalization.
• Ensure customer trust, privacy, transparency, accessibility, and brand integrity are built into 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.

Requirements

• Significant product management experience building consumer-facing digital products, web experiences, personalization, growth products, or marketing technology.
• Deep understanding of the web funnel and how customers progress from awareness and consideration to intent, conversion, and ongoing engagement.
• Strong foundation in marketing science, with the ability to apply segmentation, positioning, messaging, experimentation, and behavioral design to product decisions.
• Proven experience partnering across marketing, design, analytics, data science, and engineering to advance personalization, growth, and customer experience outcomes through experimentation and iterative development.
• Experience across 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 clear product direction.
• Experience working cross-functionally with brand, marketing, creative, analytics, engineering, and design in a complex environment.
• Strong product judgment, with the ability to balance short-term conversion 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 personalization tradeoffs, including signal quality, cold start, feedback loops, relevance, explainability, experimentation, and model or rules-based decisioning.
• Principled approach to trust, fairness, privacy, transparency, and inclusivity in algorithmic and AI-powered experiences.
• Excellent written, verbal, and executive communication skills.
• Customer-first mindset with bias toward learning, action, and measurable outcomes.

Technologies

Salesforce, CDP, CRM, marketing automation, content management, experimentation, analytics, customer journey platforms

Preferred Qualifications

• Experience in 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.