ConsumerAffairs

Product Marketing

• Own Product Adoption
• Inform the roadmap, build the GTM strategy and enable the commercials teams to drive product/feature adoption. This is where you will win or lose.
• Develop differentiated positioning and customer-centric messaging that communicates the value of our legacy and AI-powered products.
• Own and execute product launches, including ICP/persona development, material ideation/creation, sales enablement, and customer engagement programs.
• Use AI-native tools to create and optimize content—ranging from website copy to thought leadership pieces, video scripts, and demo narratives.
• Develop a detailed buyers journey to inform storytelling, content creation, and where prospects sit in our funnel.
• Equip sales teams to create effective tools, training materials, and collateral that empower them to communicate our product's value to prospects and customers.
• Leverage data and customer feedback to align roadmaps, inform campaigns, and positioning continuously.

Product Marketing Manager, AI Native

Security Engineer

• Design and implement AI-powered security workflows to reduce manual intervention and response times (detection, alert triage, compliance reporting, etc.)
• Leverage generative AI tools (ChatGPT, Claude, etc.) to enhance incident response, threat detection, and compliance operations
• Create intelligent systems for continuous compliance monitoring and reporting using existing security tools
• Develop and maintain security automation for onboarding/offboarding, access controls, and device compliance
• Orchestrate vulnerability management: scanning, triage, remediation and tracking
• Use AI tools to analyze security metrics, identify trends, and generate actionable intelligence
• Manage and optimize the security stack
• Support cloud security posture in cloud infrastructure and SaaS environments
• Manage corporate identity and access management systems with a security-first approach
• Ensure secure device configuration and lifecycle management
• Provide escalated technical support for infrastructure and endpoint issues
• Ensure secure configuration and monitoring of corporate IT infrastructure
• Act on privacy breaches and malware threats
• Analyze IT specifications to assess security risks and collaborate with internal teams to ensure closure of security vulnerabilities
• Write comprehensive reports including assessment-based findings, outcomes, and propositions for further system security enhancement
• Develop and maintain incident response playbooks and procedures
• Lead internal security awareness efforts, from phishing tests to trainings
• Develop and carry out information security plans and policies

Information Security Engineer, AI Native

Artificial Intelligence

• Lead and oversee research, evaluation, and incubation of new categories in the Marketplace
• Manage strategy and operations of existing categories
• Leverage AI to enhance decision-making, streamline operations, and unlock innovation opportunities
• Champion adoption of AI-driven tools across the business to optimize processes and improve customer experiences
• Work closely with senior leadership to develop and execute business strategies and integrate AI into core operations
• Ensure achievement of key performance indicators (KPIs) through traditional and AI-enabled approaches
• Lead cross-functional teams to identify, research, evaluate, and incubate new category opportunities
• Identify growth opportunities and drive initiatives to increase market share, revenue, and profitability
• Oversee day-to-day operations, implementing best practices in operations management, process improvement, and resource allocation
• Manage the P&L for the business unit and each category; develop and manage budgets, forecasts, and financial reports
• Use AI-powered analytics to inform decision-making, forecast trends, and identify growth opportunities
• Build, lead, and mentor a high-performing team; drive employee engagement, talent development, and succession planning
• Develop and maintain strong relationships with customers in new and existing categories
• Collaborate with marketing, sales, product development, and finance to achieve business objectives
• Present business performance and strategic plans to the executive team and other stakeholders
• Identify and mitigate risks related to operations, financial performance, and market dynamics; ensure compliance with regulations and company policies

General Manager – New Categories, AI Native

Customer Support

• As an Outbound Customer Service Rep at ConsumerAffairs, you’ll be the voice that helps our consumers share their experiences with our Accredited Brands.
• Make outbound calls to verified consumers, conducting high-quality phone interviews to capture detailed, authentic stories that power our review platform.
• Work from our Tulsa office on Mondays and Fridays, and work remotely Tuesday through Thursday.

Customer Service Representative, Outbound

QA Engineer

• We’re looking for an AI-Native QA Engineer to maintain the highest standards of quality in twice-weekly production deployments.
• Develop, document, and execute test cases for functional, regression, and performance testing.
• Identify, document, and report software defects, collaborating with development teams to resolve issues quickly.
• Participate in requirements analysis and design reviews to provide feedback on testability and quality.
• Perform manual testing as required and develop automated test scripts to streamline releases.
• Monitor and document testing results, providing clear and actionable feedback to developers and stakeholders.
• Contribute to the continuous improvement of QA processes and best practices.
• Use AI tools to enhance your workflow and continuously expand your technical skillset; contribute to automation suite and tooling.
• Work independently while keeping the flow of high-quality deliverables moving.

QA Engineer, AI Native

Performance Marketing

• The Senior Manager, Performance Marketing is responsible for leading and optimizing all paid marketing channels to achieve customer acquisition and revenue goals.
• This role will design and execute multi-channel campaigns, integrating AI-driven insights to enhance targeting, creative testing, and budget allocation.
• They will oversee agency and platform relationships while leveraging automation, machine learning models, and advanced analytics to continuously improve efficiency and performance at scale.
• Own and optimize paid media channels (Paid Social, Demand Gen, Performance Max, etc.) by leveraging AI-powered bidding, audience modeling, and creative generation to maximize ROI.
• Develop and execute acquisition strategies aligned with growth objectives, using predictive analytics and machine learning to balance volume, quality, and cost efficiency.
• Manage and mentor a team of marketers, fostering a culture of data-driven experimentation, accountability, and fluency with AI-enabled tools.
• Oversee daily campaign orchestration across platforms (Google Ads, Meta, LinkedIn, TikTok, etc.), utilizing automation for budgeting, pacing, creative testing, and bid optimization.
• Partner with Analytics, Creative, Product, and Sales teams to align marketing initiatives with broader business goals, integrating AI insights to inform decision-making.
• Evaluate and manage agency, vendor, and platform partnerships with a focus on AI capabilities that enhance performance, efficiency, and scalability.
• Build and present performance reports, insights, and recommendations to senior leadership, incorporating AI-generated forecasting, scenario planning, and visualization.
• Stay ahead of industry trends, platform updates, and emerging AI technologies; continuously test new channels, tools, and methodologies to drive innovation.

AI Native, Performance Marketing Senior Manager

Business Intelligence Developer

• Design, develop, and maintain dashboards and reports primarily using Tableau, ensuring scalable and reusable data models.
• Collaborate closely with Data Engineering and Data Architecture teams to design optimized Snowflake data marts and ensure efficient, high-quality data pipelines.
• Develop and manage common data source models in Tableau to promote consistency and scalability across multiple departments.
• Partner with Engineering teams to automate data workflows and orchestrate data refreshes using tools like Airflow.
• Lead initiatives to push automated report distribution (e.g., Slack notifications, scheduled email reports) and drive broader data accessibility across the organization.
• Apply business knowledge to translate complex data into strategic insights.
• Leverage AI and large language models (LLMs) to enhance reporting, analytics processes, and overall business intelligence capabilities.
• Collaborate cross-functionally to gather requirements, prioritize initiatives, and deliver data-driven solutions that align with business objectives.
• Manage tasks and project timelines using Atlassian Jira, ensuring high transparency and accountability across deliverables.
• Continuously identify opportunities to improve data visualization best practices, driving a culture of data literacy throughout the company.