Safelite

Build a learning system integrating behavioral data, predictive modeling, and AI to reduce uncertainty in product development and develop synthetic customer models to inform product decisions. | 8+ years in UX research, behavioral science, or data science with proficiency in Python, R, SQL, applied statistics, experimentation, and AI-driven research methods, plus a bachelor's degree. | Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work. Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work. A Brief Overview Safelite is the leader in auto glass service, continuously raising the bar for experiences that are easy, fast, and done. Digital is central to that ambition and to how we serve consumers, clients, and colleagues. We are seeking a UX & Predictive Experience Lead Researcher to increase learning velocity across our digital product organization. You will build new ways to understand and anticipate customer behavior, combining first-party behavioral data, predictive modeling, AI, experimentation, and direct customer research to help teams learn earlier, make better decisions, and invest with greater confidence. Reporting to the Director of Product Design, you will lead this capability as a senior individual contributor, working across research, design, product, analytics, and data science. This is a role for someone who sees research as a learning system, not a sequence of studies. You will help us determine what we can learn from existing signals, what we can predict or simulate, what we should test, and when direct customer engagement will create new understanding. What you will do Increase learning velocity Build a learning system that helps teams reduce uncertainty earlier in the product development cycle. Use behavioral data, predictive methods, simulation, AI, experimentation, and research together, choosing the method based on the decision we need to make. Create ways to explore multiple hypotheses and experience directions before committing significant time and investment. Help teams distinguish between what we know, what the evidence suggests, and what still needs to be learned Build predictive experience capability Develop models and simulations that use first-party behavioral data to anticipate customer response to potential experience changes. Create synthetic customer models that allow teams to explore scenarios, challenge assumptions, and identify promising directions earlier. Use predictive signals to inform prioritization and identify where additional discovery or experimentation will create the most value. Advance the methods as new data, AI capabilities, and approaches become available. Establish confidence in the signal Validate predictive methods against observed customer behavior and known outcomes. Define confidence levels, limitations, and appropriate use so teams understand how to act on the output. Investigate divergence between predicted and observed behavior as a source of learning, not simply model error. Continuously improve the models and methods as new evidence becomes available. Connect signals to human understanding Combine behavioral signals with qualitative research to understand both what customers are likely to do and why. Design research and experiments around the uncertainty that matters most to the decision. Use direct customer research where context, motivation, unmet needs, or emerging behavior cannot be inferred reliably from existing data. Feed new customer understanding back into the broader learning system. Turn learning into better decisions Translate complex evidence into clear implications for product and design teams. Create tools and ways of working that allow teams to use predictive insight without needing to become modeling experts. Bring a point of view on where we should explore, experiment, invest, or change direction based on the strength of the evidence. Raise the organization’s fluency in evidence-based decision making, experimentation, predictive methods, and AI. Performs other duties as assigned Complies with all policies and standards Bachelor's Degree or equivalent work experience Required What you will need Experience Qualifications 7-9 years across UX research, behavioral science, data science, experimentation, or related disciplines, with significant experience shaping digital product decisions. REQUIRED QUALIFICATIONS • 8+ years across UX research, behavioral science, data science, experimentation, or related disciplines, with significant experience shaping digital product decisions. • Demonstrated experience building predictive, behavioral, simulation, or decision-support methods using first-party data. • Strong applied statistics and experimentation foundation, including causal inference, experimental design, and working explicitly with uncertainty. • Working fluency in Python or R and SQL. • Hands-on qualitative research experience and the ability to connect behavioral evidence with customer motivation and context. • Demonstrated fluency using AI across research, modeling, simulation, analysis, and prototyping. • Experience operating in continuous discovery and delivery environments and using evidence to shape what gets built next. • Experience with digital analytics and experimentation platforms such as Quantum Metric, Amplitude, Adobe, Optimizely, or similar. • Ability to make sophisticated methods and evidence understandable and actionable for senior product and business leaders. • 8+ years across UX research, behavioral science, data science, experimentation, or related disciplines, with significant experience shaping digital product decisions. • Demonstrated experience building predictive, behavioral, simulation, or decision-support methods using first-party data. • Strong applied statistics and experimentation foundation, including causal inference, experimental design, and working explicitly with uncertainty. • Working fluency in Python or R and SQL. • Hands-on qualitative research experience and the ability to connect behavioral evidence with customer motivation and context. • Demonstrated fluency using AI across research, modeling, simulation, analysis, and prototyping. • Experience operating in continuous discovery and delivery environments and using evidence to shape what gets built next. • Experience with digital analytics and experimentation platforms such as Quantum Metric, Amplitude, Adobe, Optimizely, or similar. • Ability to make sophisticated methods and evidence understandable and actionable for senior product and business leaders. What you will get Competitive weekly pay and bonus opportunities. Total job benefits valued at more than $10k*. This includes a 401(k) plan with company matching, medical coverage plans customized to suit your needs and a commitment to work/life balance through our paid time off (PTO) programs, company holidays and paid volunteer days. Up to $5,250 in tuition reimbursement per year. Expected Work Location (Remote): It is expected that you will primarily perform work remotely. You may be asked to travel, as needed, to the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235), or to other location(s) as designated by the Company. Changes to work location arrangements are subject to managerial approval and business needs. #LI-Remote #LI-MH1 This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change. This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.

Lead strategy, roadmap, and performance of consumer digital experiences and build AI-enabled product practice while coaching product managers. | 7-9 years product management experience with consumer-facing digital products and demonstrated success improving consumer journeys. | Does this position interest you? You should apply – even if you don’t match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work. A Brief Overview Safelite is the leader in auto glass service, continuously raising the bar for experiences that are easy, fast, and done. Digital is central to that ambition and to how we serve consumers, clients, and colleagues. We are seeking a Digital Product Director, Consumer Channels to lead the strategy, roadmap, and performance of Safelite's consumer digital experiences. This includes the direct-pay and insurance journeys across discovery, quote, coverage, scheduling, payment, and service. Reporting to the VP, Digital Product, you will lead the consumer digital product portfolio and the product managers responsible for it. You will connect customer behavior, growth strategy, business performance, and emerging technology to identify high-value opportunities and translate them into clear product direction and measurable outcomes. This is a hands-on product leadership role. You will set direction across the portfolio while staying close to customer behavior, product performance, and the work itself. You will develop product talent, raise the quality of product practice, and ensure the team is investing in the opportunities that create the greatest customer and business value. What you will do Lead the consumer product portfolio • Define the product strategy, roadmap, and investment priorities for Safelite’s consumer digital experiences. • Identify and prioritize high-value opportunities by connecting customer needs, behavioral signals, business performance, and emerging capabilities. • Translate those opportunities into clear product direction, priorities, and measurable outcomes. • Make portfolio tradeoffs across customer value, business impact, evidence, effort, risk, and learning potential. • Balance performance optimization, foundational capability, and longer-term innovation across the portfolio Drive growth and journey performance • Lead the digital journey from initial need through quote, coverage, scheduling, payment, and service. • Identify where friction, uncertainty, or unnecessary effort is limiting conversion, self-service, or customer confidence. • Connect product decisions directly to revenue, margin, conversion, satisfaction, and operational performance. • Use behavioral data, research, experimentation, and customer signals to identify the highest-value opportunities for improvement. • Partner with Pricing, Marketing, and business leaders on how pricing, offers, payment options, and other commercial levers appear within the experience. Build an AI-enabled product practice • Establish how the team uses AI across discovery, analysis, synthesis, prototyping, experimentation, and product decision making. • Use AI-native tools to analyze customer behavior and interactions at scale, surface patterns, investigate performance, and identify emerging opportunities. • Help teams move quickly from signal to hypothesis to evidence while maintaining strong product judgment. • Build fluency across the team so AI becomes part of how product managers work, not a separate capability or occasional tool. • Stay current on emerging AI capabilities and determine where they can materially improve the consumer journey or the way the team works. Shape AI-enabled consumer experiences • Identify where AI can create meaningful customer and business value across the consumer journey. • Partner with agentic product leadership to determine how conversational, agentic, predictive, and adaptive capabilities should integrate into the broader consumer experience. • Define opportunities where AI can improve self-service, decision support, personalization, and service outcomes. • Ensure AI-enabled experiences are grounded in customer value, measurable outcomes, appropriate controls, and clear expectations. • Connect emerging AI capabilities to the broader product roadmap rather than treating them as standalone features. Lead and develop the product team • Lead, coach, and develop product managers responsible for areas within the consumer portfolio. • Set a high standard for product judgment, customer understanding, analytical fluency, experimentation, and execution. • Develop product managers who can form an independent point of view from customer behavior, data, research, and business performance. • Create ways of working that support continuous discovery and delivery while maintaining clarity around outcomes, priorities, and accountability. • Stay close enough to the work to challenge assumptions, raise the quality of decisions, and help teams navigate difficult tradeoffs. Lead through partnership • Operate as a close partner to Design and Engineering in shaping product strategy, priorities, and outcomes. • Partner across Marketing, Pricing, Analytics, Technology, Operations, Contact Center, and business leadership to connect the digital experience to the broader service. • Align teams around opportunities, priorities, measures of success, and the decisions required to move forward. • Bring structure and clarity to complex product decisions when customer, business, technology, and operational priorities compete. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree or equivalent work experience Required Experience Qualifications 7-9 years of product management or digital product experience, including significant ownership of consumer-facing digital products at scale. Required Experience leading and developing product managers, with a track record of raising product judgment and team performance. Required Experience owning digital products from strategy and discovery through launch, measurement, and continuous improvement. Required Skills and Abilities REQUIRED Demonstrated success improving high-intent consumer journeys such as commerce, booking, quoting, scheduling, or self-service. Strong analytical fluency and hands-on experience using digital analytics platforms such as Quantum Metric, Heap, Amplitude, FullStory, Mixpanel, or similar. Demonstrated fluency using AI across product strategy, discovery, research synthesis, analysis, prototyping, experimentation, and optimization. Experience using AI-native tools to investigate customer behavior, product performance, and emerging opportunities. Strong experience with experimentation, A/B testing, funnel optimization, and evidence-based product decision making. Ability to connect customer needs, behavioral signals, business strategy, and technology capabilities into clear product direction and investment priorities. Experience working in continuous discovery and delivery environments where learning actively shapes the roadmap. Strong written and verbal communication and the ability to create clarity in complex, ambiguous product environments. TARGET EXPERIENCE We are looking for a product leader who has led consumer digital experiences where customer behavior and business performance are tightly connected. You have owned high-intent journeys such as commerce, booking, quoting, scheduling, or self-service and can show how product decisions changed conversion, revenue, satisfaction, or customer effort. You have worked in environments where pricing, offers, payment options, and other commercial decisions are part of the product experience, not separate from it. You also know what strong product practice looks like. You have worked with dedicated cross-functional teams, continuous discovery, instrumented products, experimentation, and outcome-based goals, and you have helped raise the maturity of the product organization around you. Relevant experience may come from marketplaces, on-demand services, travel and hospitality, omnichannel retail, home services, financial services, modern automotive experiences, or other businesses where digital demand connects to real-world service delivery. PREFERRED QUALIFICATIONS Experience shipping AI-enabled, conversational, agentic, predictive, or personalized product capabilities. Experience leading products that span both customer-facing and employee-facing digital experiences. Experience with behavioral analytics, voice of customer, journey analysis, service design, and customer research methods. Familiarity with APIs, data products, design systems, experimentation platforms, and the technical foundations of modern digital products. Experience with products where digital conversion connects directly to operational capacity or service fulfillment. CORE CAPABILITIES Product Strategy. Turns customer, business, and technology signals into clear product choices, investment priorities, and measurable outcomes. Consumer Journey Leadership. Understands the end-to-end journey and identifies where product can materially improve customer behavior, confidence, and outcomes. Growth and Business Acumen. Connects product decisions to conversion, revenue, margin, satisfaction, and operational performance. Opportunity Identification. Uses customer behavior, evidence, and business context to identify and prioritize high-value opportunities. People Leadership. Builds strong product managers and raises the quality of judgment, execution, and product practice across the team. AI-Enabled Product Leadership. Uses AI directly to improve how the team learns and to identify where intelligent capabilities can create customer and business value. Experimentation and Learning. Uses analytics, testing, research, and feedback loops to improve decisions and product performance continuously. Cross-Functional Leadership. Aligns Product, Design, Engineering, Marketing, Pricing, Operations, and other partners around shared outcomes. Execution Discipline. Turns strategy into sustained product progress while managing priorities, dependencies, risk, and performance. This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change. This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.

Lead and build operating models and systems to connect strategy to execution for digital initiatives. | 8+ years leadership in product/business operations or strategic planning with experience in AI and digital transformation. | Does this position interest you? The companies winning in the next decade won't simply have better technology. They'll have better operating systems. At Safelite, we're building an AI-native digital organization designed to move faster, learn faster, and deliver measurable business value at scale. We're looking for a transformational leader to help architect the operating model that powers that future. As AVP (Associate Vice President), Digital Operations, you will build and evolve the systems, rhythms, and processes that connect strategy to execution across our digital portfolio. You'll create the visibility, prioritization, and performance management capabilities that enable our teams to scale innovation while delivering measurable outcomes for the business. This role reports directly to the Senior Vice President, Digital and sits at the center of one of the most significant digital transformations underway within the company. Build the Operating System for Digital • Own the operating model that connects strategy, investment, and execution across our Digital organization. • Establish the portfolio management disciplines that create transparency, accountability, and predictability. • Build the governance, planning, goal-setting, and performance management systems that allow teams to scale effectively. • Create clear visibility into priorities, investments, business outcomes, risks, and delivery commitments. Connect Work to Business Value • Build the framework that directly links digital initiatives to financial and business outcomes. • Partner with Product, Finance, Analytics, and business leaders to define, validate, and measure value realization. • Create a clear line of sight from strategic investments to growth, efficiency, customer outcomes, and enterprise performance. • Help leadership make better decisions through data, insight, and transparency. Drive Portfolio Strategy and Prioritization • Lead portfolio planning across multiple product domains and investment horizons. • Develop prioritization frameworks that ensure resources are focused on the highest-value opportunities. • Balance near-term performance needs with long-term innovation and transformation goals. • Guide trade-off decisions in a fast-moving environment where priorities evolve rapidly. Accelerate Speed, Agility, and Execution • Create operating rhythms that enable teams to move with greater speed and confidence. • Improve how Product, Design, Engineering, Data, and Business teams work together to deliver results. • Identify bottlenecks, eliminate unnecessary complexity, and improve organizational effectiveness. • Drive continuous improvement in planning, delivery, and decision-making processes. Lead AI-Native Ways of Working • Champion the use of AI throughout the product lifecycle. • Develop frameworks, tools, workflows, and practices that help teams leverage AI to improve speed, quality, and outcomes. • Partner with leaders across Digital to create an AI-enabled operating model that becomes a competitive advantage. • Help shape how a modern enterprise integrates AI into daily work and strategic execution. We're seeking a builder who can create clarity, focus, and momentum at scale. You know how high-performing product organizations operate because you've built them. You understand that operating models aren't about process—they're about enabling faster decisions, better prioritization, and stronger business outcomes. You are equally comfortable discussing portfolio economics, organizational design, AI transformation, operating cadence, and business strategy. Most importantly, you know how to take an organization from where it is today to where it needs to be tomorrow. Required Qualifications • 8+ years of leadership experience in Product Operations, Business Operations, Strategic Planning, Portfolio Management, or a related function. • Proven success building and scaling operational capabilities within product-led, technology-forward organizations. • Experience connecting investment decisions and product portfolios to measurable business and financial outcomes. • Demonstrated ability to create planning frameworks, operating rhythms, prioritization models, and governance structures that improve execution. • Strong analytical capabilities and experience using data to influence strategy and decision-making. • Experience driving AI adoption, modern ways of working, or digital transformation initiatives. • Exceptional communication and executive influence skills. • Ability to lead through ambiguity and build alignment across diverse stakeholder groups. Preferred Qualifications • Experience building Product Operations, Portfolio Management, Digital Operations, or Transformation functions from the ground up. • Experience supporting large-scale digital product organizations. • Understanding of modern product operating models, analytics platforms, and planning frameworks. • Experience working across Product, Engineering, Design, Analytics, and Operations teams. • Experience supporting enterprise AI transformation initiatives. • We work with our European partners quite often, so Central or Eastern time zones are preferred. The Leaders Who Excel In This Role Are • Builders who love creating new capabilities at scale. • Strategic operators who connect execution to business outcomes. • Systems thinkers who can simplify complexity. • Innovators who use AI and technology to improve how work gets done. • Leaders who bring structure to ambiguity. • Change agents who challenge conventional ways of operating. • Executives who believe speed, learning, and adaptability are competitive advantages. Why Join Safelite? This is a rare opportunity to design the operating system behind a modern, AI-native digital organization. You'll influence how investment decisions get made, how teams operate, how value is measured, and how AI becomes embedded across the enterprise. You'll help build the foundation for the next chapter of Safelite's growth—creating the structures, processes, and capabilities that allow innovation to move faster and scale further. If you're energized by building systems that enable transformation, we'd love to hear from you. Apply Now! This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change. This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability. Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices. -- Internal Associates: Already a member of the Safelite team? Apply through your Workday account by searching "Find Open Jobs". Diversity: Safelite welcomes everyone. We value our diverse workforce and suppliers, and we’re proud to be an equal opportunity employer. Learn more at Careers http://safelite.com/Careers Benefit amounts are estimates only. Actual values will depend on benefit elections during enrollment. This position description is not all inclusive for every aspect of this role. Reasonable accommodation will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job’s essential duties because of an ADA disability.