Claims Product Manager, Product & Strategy (Remote, US)

📍 Job Overview

Job Title: Claims Product Manager, Product & Strategy

Company: Openly

Location: United States

Job Type: Full-Time

Category: Product Management / Strategy (with a strong operations component)

Date Posted: May 06, 2026

Experience Level: Mid-Senior Level (4+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Drive strategic product vision and execution for the claims lifecycle within Personal Lines insurance (Auto and Property), focusing on operational efficiency and customer experience.

• Lead the integration and scaling of Artificial Intelligence (AI) capabilities across claims workflows, from intake to resolution, enhancing speed, fairness, and accuracy.

• Serve as a critical liaison between Claims Operations, Engineering, and Data Science teams, translating complex business needs into actionable product specifications and user stories.

• Own the delivery of claims-related product initiatives, managing the product backlog and prioritizing features to achieve high-impact outcomes in a fast-paced InsurTech environment.

📝 Enhancement Note: This role is positioned as a Product Manager but has significant revenue operations and GTM implications due to its focus on the claims process. The claims experience is a critical "moment of truth" that directly impacts customer retention, brand reputation, and operational costs. Success in this role will require a deep understanding of operational workflows, process optimization, and the ability to leverage technology (including AI) to drive efficiency and customer satisfaction, aligning closely with the goals of a GTM strategy.

📈 Primary Responsibilities

• Own the end-to-end delivery of claims product initiatives, from initial discovery and requirement gathering through to successful launch and iteration, with support from senior product leadership.

• Translate high-level business objectives and granular operational needs into well-defined product requirements, detailed user stories, and clear acceptance criteria for engineering.

• Manage and meticulously prioritize the product backlog for assigned claims domains, ensuring focus on delivering high-impact outcomes that align with business strategy and operational goals.

• Proactively identify inefficiencies, friction points, and opportunities for improvement across the entire claims lifecycle, from First Notice of Loss (FNOL) to final settlement.

• Develop and document robust, actionable product solutions that account for intricate workflows, cross-system dependencies, and critical edge cases within the claims process.

• Foster strong, day-to-day collaborative partnerships with Engineering and Claims Operations teams to co-design, build, and deliver seamless claims solutions.

• Facilitate seamless alignment and clear communication across a diverse set of stakeholders, including claims handlers, legal, compliance, engineering, and executive leadership.

• Effectively articulate priorities, necessary trade-offs, and key product decisions to both technical and non-technical audiences, ensuring transparency and buy-in.

• Contribute significantly to the enhancement of both internal claims handling experiences and external policyholder journeys, driving digital-first capabilities.

• Support the design and implementation of digital self-service options, including streamlined FNOL, real-time status tracking, and automated workflow triggers for policyholders.

• Drive incremental improvements in key claims metrics such as claim cycle time, accuracy, operational efficiency, and overall customer satisfaction scores.

• Leverage data analytics, user feedback, and direct operational insights to inform product prioritization, roadmap adjustments, and continuous improvement cycles.

• Define, track, and analyze key performance indicators (KPIs) for claims products, such as claim cycle time, accuracy rates, and customer satisfaction (CSAT) scores.

• Collaborate closely with analytics teams to rigorously evaluate the impact of product changes and refine product decisions based on empirical evidence.

• Identify and proactively explore innovative opportunities to apply AI and emerging technologies to optimize claims workflows, including intake, triage, documentation, decision-making, and customer communication.

• Experiment with various AI tools and approaches to enhance efficiency, improve decision quality, and elevate the user experience for both internal users and policyholders.

• Maintain up-to-date knowledge of emerging AI capabilities and proactively bring forward practical application ideas specifically within the claims domain.

• Partner with engineering and data science teams to rigorously test, validate, and scale AI-driven solutions for production environments.

• Cultivate subject matter expertise in AI for claims, growing into a go-to resource for the broader Product & Strategy team over time.

📝 Enhancement Note: The responsibilities highlight a strong blend of traditional product management duties with a critical operations focus. The emphasis on "operational needs," "claims lifecycle," "cycle time," "accuracy," and "efficiency" indicates that this role requires a deep understanding of how the product impacts the operational execution of claims. The AI component adds a forward-thinking, strategic element, suggesting the company is looking for someone to drive innovation in operational processes.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Business, Computer Science, Engineering, or a related field.

Experience:

• Minimum of 4 years of progressive experience in Product Management or a closely related role within the technology or insurance sector.

Required Skills:

• Product Management Fundamentals: Proven ability to manage the full product lifecycle, including discovery, roadmap development, backlog prioritization, user story creation, and launch.

• Claims Domain Expertise: Deep knowledge of personal lines insurance claims processes, including FNOL, investigation, assessment, settlement, and subrogation. Understanding of state-specific regulatory nuances is highly valued.

• Analytical & Data-Driven Decision Making: Strong analytical mindset with a proven ability to use data, metrics, and user feedback to inform product strategy, prioritize features, and measure success.

• Cross-Functional Collaboration: Exceptional ability to partner effectively with Engineering, Claims Operations, Data Science, Marketing, Sales, and other business units to achieve shared goals.

• Stakeholder Management: Adept at managing relationships and expectations with diverse stakeholders, including internal teams, leadership, and potentially external partners.

• Technical Acumen: Ability to understand technical concepts, communicate effectively with engineers, and translate business requirements into technical specifications.

• Problem Solving & Structured Thinking: Proven capability to break down complex problems into manageable components and develop well-structured, actionable solutions.

• Communication Skills: Excellent written and verbal communication skills, with a particular talent for producing clear, concise, and comprehensive product documentation.

• Agile/Scrum Proficiency: Experience working within agile development methodologies, including writing user stories, acceptance criteria, and participating in sprint planning and reviews.

• AI/ML Aptitude: A proactive interest and foundational understanding of AI/ML concepts and their potential applications in optimizing business processes, particularly within claims.

Preferred Skills:

• Experience with AI/ML implementation in a product context, specifically for workflow automation or decision support.

• Familiarity with various claims management systems (CMS) and insurance core systems.

• Experience in a high-growth InsurTech startup environment.

• Knowledge of digital product design principles and user experience (UX) best practices.

• Experience managing multiple state-specific product workstreams concurrently.

• Familiarity with regulatory compliance within the insurance industry.

📝 Enhancement Note: The requirements emphasize a blend of product management skills, deep insurance domain knowledge (specifically claims), and a forward-looking interest in AI. The "operational awareness" and "coordination layer" aspects suggest that candidates with experience in operations or a strong understanding of operational workflows will be highly competitive. The mention of "state-specific workstreams" points to the complexity of insurance products and the need for detail-oriented management.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Strategy & Roadmap Examples: Showcase instances where you developed and executed product strategies, including examples of roadmaps that balanced short-term wins with long-term vision, particularly related to operational efficiency or digital transformation.

• Product Requirements & User Stories: Provide samples of well-defined Product Requirements Documents (PRDs), user stories, and acceptance criteria that clearly articulate complex business needs and technical specifications for engineering teams.

• Data-Driven Case Studies: Present case studies detailing how you used data analysis, user feedback, and operational insights to inform product decisions, drive improvements, and achieve measurable outcomes (e.g., improved cycle time, increased accuracy, enhanced customer satisfaction).

• AI/ML Integration Examples (if applicable): If you have experience incorporating AI/ML into product features or workflows, include examples that demonstrate your understanding of its application, potential benefits, and challenges in implementation.

Process Documentation:

• Workflow Design & Optimization: Demonstrate your ability to map out existing operational workflows, identify bottlenecks, and design optimized processes through product features. This could include examples of process flow diagrams or documentation of re-engineered workflows.

• System Implementation & Integration: Showcase experience in specifying requirements for new system implementations or integrations, ensuring they support efficient operational processes and data flow.

• Performance Measurement & Analysis: Include examples of how you defined and tracked key performance indicators (KPIs) related to operational efficiency, process adherence, or user adoption for products you managed.

📝 Enhancement Note: For a role like this, a portfolio should highlight not just product artifacts but also the impact of those artifacts on operational efficiency and business outcomes. Case studies demonstrating how a product decision led to measurable improvements in claims processing speed, cost reduction, or policyholder satisfaction will be highly valuable. The ability to articulate the process of developing these solutions is as important as the solution itself.

💵 Compensation & Benefits

Salary Range:

• Budgeted Range: $125,000 - $148,000 USD per year.

• Full Range: $116,850 - $194,750 USD per year.

Explanation of Range: The budgeted range indicates the company's target compensation for this specific role based on its responsibilities and market demand. The full salary range reflects the broader spectrum of compensation possible, determined by factors such as the candidate's experience level, specific skills, and proven track record, especially concerning their ability to drive operational improvements and leverage AI in product strategy. For a remote role within the US, this range is competitive, particularly for candidates with specialized InsurTech or claims operations product experience.

Benefits:

• Remote-First Culture: Full support for remote work, promoting work-life balance.

• Competitive Salary & Equity: Offers a strong base salary and potential for equity ownership.

• Comprehensive Health Coverage: Medical, Dental, and Vision plan offerings.

• Life and Disability Coverage: Includes voluntary options for enhanced protection.

• Generous Parental Leave: Up to 8 weeks (320 hours) of paid parental leave, with potential for additional leave for birthing parents.

• 401K Company Contribution: Openly contributes 3% of gross income, regardless of employee contribution.

• Work-from-Home Stipend: A $1,500 allowance to set up a productive home office.

• Annual Professional Development Fund: $2,000 per employee for activities and resources to foster personal and professional growth, efficiency, and productivity.

• "Be Well" Program: $50 per month for employee well-being initiatives.

• Paid Volunteer Service Hours: Encourages community involvement.

• Referral Program: Rewards for successful candidate referrals.

Working Hours:

• Typically 40 hours per week, aligned with standard US business operations.

• The remote-first culture and professional development fund suggest flexibility in how work is managed, provided deliverables are met and collaboration remains effective across time zones.

📝 Enhancement Note: The salary ranges provided are within a competitive band for a mid-to-senior level Product Manager in the US, especially for a specialized role in InsurTech. The benefits package is robust, with a strong emphasis on remote work support, professional development, and employee well-being, which are attractive to operations-focused professionals who value work-life integration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurance (InsurTech)

Company Size:

Founded:

Team Structure:

• Product & Strategy Team: This role sits within the Product & Strategy function, collaborating closely with a partner Claims PM. This team likely works in close partnership with Engineering, Data Science, and Claims Operations.

• Reporting Structure: The role reports to senior product leadership, indicating a structured product development process with guidance and mentorship available.

• Cross-Functional Collaboration: A core aspect of Openly's operational model is extensive cross-functional collaboration. This role requires daily interaction with Engineering and Claims Operations, and likely involves working with Data Science, Marketing, Sales, and Customer Service teams.

Methodology:

• Data-Driven Approach: Openly emphasizes the use of cutting-edge data and technology to provide competitive pricing and customizable policies. This suggests that data analysis, metrics tracking, and data-informed decision-making are fundamental to all operations.

• Workflow Planning & Optimization: The claims product manager is expected to identify inefficiencies and develop structured solutions, indicating a focus on optimizing operational workflows.

• Automation & Efficiency: The drive to make technology "as fast, fair, and efficient as the rest of the Openly experience" highlights a strong commitment to leveraging technology for automation and efficiency gains.

Company Website: https://www.openly.com/

📝 Enhancement Note: Openly's positioning as an InsurTech innovator implies a culture that values agility, data-driven insights, and a proactive approach to problem-solving. For operations professionals, this means an environment where process improvement and efficiency are highly prized, and where technology (especially AI) is seen as a key enabler.

📈 Career & Growth Analysis

Operations Career Level:

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Operations Skill Advancement: The role offers deep exposure to claims operations, enabling specialists to hone their understanding of insurance workflows, regulatory environments, and operational challenges.

• AI Specialization: Significant opportunity to become a subject matter expert in AI applications within the insurance claims domain, a highly sought-after skill. This includes hands-on experience in identifying, testing, and scaling AI solutions.

• Leadership Potential: Successful product delivery and AI innovation can pave the way for advancement into Senior Product Manager, Group Product Manager, or Head of Product roles, with a particular focus on operational excellence and strategic initiatives.

• Cross-Functional Leadership: Building strong relationships and demonstrating impact across Engineering, Operations, and Data Science can create pathways to broader leadership roles within the Product & Strategy team or GTM functions.

• Industry Expertise: Deepening expertise in the InsurTech space, particularly in claims product strategy, offers significant career growth opportunities within a rapidly expanding industry.

📝 Enhancement Note: This role is ideal for a product professional who thrives at the intersection of technology, operations, and strategy. The emphasis on AI integration and operational efficiency provides a clear path for developing specialized, high-demand skills within the InsurTech sector.

🌐 Work Environment

Office Type:

• Remote-First: Openly operates with a "Remote-First" culture, meaning that remote work is not just supported but is the primary mode of operation. This environment is designed to empower employees regardless of their physical location.

Office Location(s):

Workspace Context:

• Collaborative Environment: Despite being remote, the company fosters collaboration through technology and intentional communication practices. The "Remote-First Culture" and the provision of a work-from-home stipend ($1,500) indicate a commitment to ensuring remote employees have productive and well-equipped workspaces.

• Operations Tools & Technology: Employees will have access to the necessary digital tools and platforms required for remote collaboration, product management, and communication. The role itself necessitates proficiency with project management, communication, and potentially analytics tools.

• Operations Team Interaction: Regular virtual meetings, team syncs, and digital collaboration platforms will facilitate interaction with the Claims Operations team, Engineering, and other cross-functional partners, ensuring seamless workflow integration.

Work Schedule:

• The standard working hours are typically 40 hours per week. However, the remote-first approach often allows for a degree of flexibility in how the workday is structured, enabling employees to manage their time effectively while meeting project deadlines and collaboration needs across different time zones within the US.

📝 Enhancement Note: The remote-first environment is a significant aspect of this role. Candidates should be self-motivated, excellent communicators, and adept at leveraging digital tools to maintain productivity and collaboration. The $1,500 WFH stipend and $2,000 professional development fund underscore the company's investment in its remote workforce's productivity and growth.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on experience in product management, personal lines insurance claims, and any relevant operational or AI experience.

• Hiring Manager Interview: This stage will likely involve a deeper dive into your experience, product management philosophy, problem-solving skills, and understanding of the claims lifecycle. Expect behavioral questions and scenario-based inquiries.

• Product/Strategy Case Study: You may be asked to complete a take-home assignment or present a case study during an interview. This could involve analyzing a claims process, proposing a product solution, or outlining an AI integration strategy. This is where your portfolio will be crucial.

• Cross-Functional Interviews: Interviews with key stakeholders such as Engineering leads, Claims Operations managers, and potentially Data Scientists. These will assess your collaboration style, technical communication, and ability to translate operational needs into product requirements.

• Final Interview: A discussion with senior leadership (e.g., Head of Product, VP of Strategy) to assess strategic alignment, cultural fit, and overall readiness for the role.

Portfolio Review Tips:

• Focus on Impact: For each project in your portfolio, clearly articulate the problem, your solution, the process you followed, and most importantly, the measurable impact (e.g., % reduction in cycle time, increase in CSAT, efficiency gains). Quantify results wherever possible.

• Showcase Operational Understanding: Highlight projects where you deepened your understanding of operational workflows, identified bottlenecks, and implemented product solutions that directly improved operational efficiency or effectiveness.

• Demonstrate AI Application: If you have AI-related projects, clearly explain the AI concept used, the problem it solved for claims operations, the implementation challenges, and the outcomes achieved.

• Structure for Clarity: Organize your portfolio logically. Use clear headings, concise descriptions, and visuals (like flowcharts or dashboards) where appropriate. For a remote role, ensure your digital portfolio is easily accessible and well-presented.

• Tailor to Openly: Research Openly's mission, values, and current product offerings. Frame your portfolio examples to align with their goals, particularly their focus on simplicity, customer experience, and leveraging technology (including AI) to achieve operational excellence in claims.

Challenge Preparation:

• Claims Process Deep Dive: Refresh your knowledge of the personal lines insurance claims lifecycle, common pain points, and potential areas for technological improvement.

• AI Strategy Thinking: Prepare to discuss how AI can be applied to specific claims workflows (e.g., fraud detection, damage assessment, customer communication, document processing). Think about the data requirements, potential pitfalls, and how to measure success.

• Stakeholder Management Scenarios: Be ready to discuss how you would handle competing priorities from different departments (e.g., Engineering wanting to build robust tech vs. Operations needing immediate efficiency gains).

• Product Prioritization Frameworks: Be prepared to explain how you prioritize features when resources are limited, especially when balancing operational needs with strategic initiatives.

📝 Enhancement Note: The interview process will likely test not only product management skills but also the candidate's ability to understand and influence operational processes. A strong portfolio that demonstrates quantifiable results in areas like efficiency, cycle time reduction, and customer satisfaction, especially within an insurance context, will be critical. The AI component means candidates should be ready to discuss practical applications, not just theoretical possibilities.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools like Jira, Confluence, Asana, or Productboard for backlog management, requirement documentation, and roadmap planning.

• Collaboration Suites: Google Workspace (Docs, Sheets, Slides) or Microsoft 365 for documentation, presentations, and general collaboration.

• Communication Tools: Slack, Microsoft Teams for real-time communication and team interactions.

• Design & Prototyping Tools (Potentially): Figma, Sketch, or InVision for visualizing product concepts and user flows, especially for digital-first capabilities.

Analytics & Reporting:

• Business Intelligence (BI) Tools: Tableau, Power BI, Looker, or similar platforms for creating dashboards, analyzing KPIs (claim cycle time, accuracy, CSAT), and reporting on product performance.

• Web Analytics (Potentially): Google Analytics or Amplitude for tracking user behavior on digital platforms.

• Data Warehousing/Databases: Familiarity with SQL for querying data from databases like Snowflake, Redshift, or BigQuery would be highly beneficial for deep analysis.

CRM & Automation:

• CRM Systems: While not explicitly mentioned for this role, understanding how claims product features integrate with or impact CRM data (e.g., customer profiles, interaction history) is valuable. Salesforce or similar platforms might be in use.

• Workflow Automation Tools: Experience with or understanding of how claims processes can be automated using internal tools or platforms like Zapier, Custom API integrations, or RPA (Robotic Process Automation) technologies.

• AI/ML Platforms & Tools: Exposure to AI/ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) or specific AI services for tasks like natural language processing (NLP), computer vision, or predictive analytics.

📝 Enhancement Note: Proficiency in standard product management and collaboration tools is expected. For this specific role, strong analytical skills and familiarity with BI tools are critical for data-driven iteration. Experience with AI/ML platforms or a strong understanding of how to leverage AI services for workflow optimization will be a significant advantage, especially given the role's focus on AI exploration.

👥 Team Culture & Values

Operations Values:

• Integrity: Upholding ethical standards in product development and claims handling, ensuring fairness and transparency for policyholders.

• Empathy: Designing products and processes that consider the user's perspective, especially during stressful times like filing a claim.

• Teamwork: Fostering a collaborative spirit across departments (Product, Engineering, Operations, Data Science) to achieve shared goals.

• Curiosity: Encouraging a mindset of continuous learning, questioning the status quo, and exploring innovative solutions, particularly with AI.

• Urgency: Maintaining a sense of momentum and proactive execution to deliver value swiftly in a fast-paced InsurTech environment.

Collaboration Style:

• Cross-Functional Integration: Openly emphasizes close collaboration between Product, Engineering, and Claims Operations. This role acts as a key bridge, ensuring that product initiatives are operationally sound and that operational feedback informs product development.

• Process Review & Feedback: A culture that likely encourages regular reviews of processes and products, with an open exchange of feedback to drive continuous improvement.

• Knowledge Sharing: Encouraging team members to share insights, best practices, and learnings, especially in areas like AI and operational efficiency, to elevate the collective expertise of the team.

📝 Enhancement Note: The company's stated values (Integrity, Empathy, Teamwork, Curiosity, Urgency) are highly relevant to operations roles. They suggest a culture that values ethical decision-making, customer-centricity, collaborative problem-solving, innovation, and a results-oriented mindset. Candidates should be prepared to demonstrate how their work and approach align with these values.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation with Operational Realities: Integrating cutting-edge AI solutions while ensuring they are practical, compliant, and seamlessly fit into existing or evolving claims workflows can be challenging.

• Navigating Ambiguity: The InsurTech space is dynamic, and AI adoption is rapidly evolving. Candidates will need to thrive in an environment with evolving priorities and requirements.

• Cross-Functional Alignment: Ensuring consistent buy-in and execution across different departments (Engineering, Claims Ops, Legal, etc.) can be complex, requiring strong communication and negotiation skills.

• Data Integration & Quality: Implementing AI solutions often relies on robust data infrastructure. Ensuring data quality, accessibility, and proper integration for AI models will be a key operational challenge.

• State-Specific Complexity: Personal lines insurance products often vary significantly by state, requiring product managers to manage complexity and ensure compliance across multiple jurisdictions.

Learning & Development Opportunities:

• AI Specialization: Hands-on experience in identifying, piloting, and scaling AI for claims offers a unique opportunity to become an expert in a high-demand field within InsurTech.

• Product Strategy for Operations: Deepen expertise in developing product strategies that directly drive operational efficiency and customer experience improvements within a complex industry.

• Industry Exposure: Gain in-depth knowledge of the personal lines insurance market, its operational intricacies, and the disruptive potential of InsurTech.

• Leadership Development: Opportunities to lead product initiatives from conception to launch and potentially mentor junior team members or drive strategic product direction.

• Professional Development Fund: Annual $2,000 fund provides resources for courses, conferences, books, or certifications to enhance skills in product management, AI, or insurance.

📝 Enhancement Note: The challenges presented are typical for innovative roles in established industries like insurance. Successfully navigating these challenges will provide significant growth opportunities, particularly in AI-driven product development and operational optimization.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining the product strategy for AI integration in claims intake, considering both operational efficiency and policyholder experience?" (Preparation: Think about identifying key AI use cases, data needs, integration points, and metrics for success.)

• "Describe a time you had to balance conflicting priorities between an engineering team focused on technical debt and an operations team needing immediate process improvements. How did you resolve it?" (Preparation: Focus on communication, negotiation, data-driven trade-offs, and finding win-win solutions.)

Company & Culture Questions:

• "Why are you interested in Openly and this specific role, particularly our focus on claims and AI?" (Preparation: Research Openly's mission, values, and recent news. Connect your experience and career goals to their objectives.)

• "How do you embody our core values of Integrity, Empathy, Teamwork, Curiosity, and Urgency in your daily work?" (Preparation: Prepare specific examples from your past roles that illustrate each value.)

Portfolio Presentation Strategy:

• Focus on the "Why" and "So What": For each case study, clearly articulate the business problem or operational challenge, your strategic approach, the product solution you developed, and the measurable impact achieved.

• Narrate the Process: Explain your thought process, the methodologies you employed (e.g., user research, data analysis, agile development), and the challenges you overcame.

• Quantify Impact: Whenever possible, use numbers and metrics to demonstrate the value of your work. For claims, this could be reduced cycle times, improved accuracy, increased policyholder satisfaction, or cost savings.

• Demonstrate AI Application: If showcasing AI projects, explain the technology's role, the data used, and the tangible benefits. Be prepared to discuss potential risks and mitigation strategies.

• Tailor to Openly's Context: Frame your examples to align with Openly's focus on simplifying insurance, enhancing customer experience, and leveraging technology for operational excellence.

Challenge Preparation:

• Simulate a Case Study: Practice analyzing a hypothetical claims scenario, identifying issues, proposing product solutions, and outlining an implementation plan.

• AI Brainstorming: Think about common claims processes (FNOL, damage assessment, repair coordination, fraud detection) and brainstorm specific ways AI could improve them.

• Stakeholder Communication Practice: Role-play explaining a complex product decision or a trade-off to different stakeholder groups.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of both product management principles and the operational realities of the insurance claims process, with an added emphasis on strategic AI integration. Candidates should be ready to provide concrete examples and quantifiable results.

📌 Application Steps

To apply for this operations-focused Product Manager position:

• Submit your application through the provided link on the Greenhouse platform. Ensure your resume and cover letter (if applicable) are tailored to highlight your experience in product management, personal lines insurance claims, and any relevant operational or AI integration experience.

• Curate Your Operations Portfolio: Select 2-3 key projects that best showcase your ability to drive product initiatives that improve operational efficiency, streamline processes, or enhance customer experience within an insurance context. Focus on projects where you can demonstrate quantifiable results and your strategic thinking.

• Optimize Your Resume for Operations Keywords: Ensure your resume clearly lists keywords relevant to this role, such as "Product Management," "Claims Lifecycle," "Personal Lines Insurance," "InsurTech," "AI Implementation," "Operational Efficiency," "Process Optimization," "Data Analysis," "Stakeholder Management," and "Agile Methodology."

• Prepare Your Portfolio Presentation: Practice walking through your selected portfolio projects. Be ready to articulate the problem, your solution, the process, and the impact, with a specific focus on how your work supported or improved operational outcomes.

• Research Openly's Operations & Strategy: Understand Openly's mission, values, and their approach to rebuilding insurance. Identify how their claims product strategy aligns with your own operational and product development philosophies. Be prepared to discuss their specific business model and how your role contributes to their overall GTM success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.