Role Description Scopely is looking for a Manager, Product Marketing Operations, to join our unannounced project, working remotely within the US. This role reports directly to the VP of Marketing. - Develop plans and tracking for executing game-wide marketing initiatives, collaborating with key stakeholders such as: Brand, Community, Product Development, User Acquisition, Creative and Business Development. - Partner with our internal creative agency on tracking and budgeting of creative work internally and through our agency partners. - Collaborate with the User Acquisition team on setting goals and deliverables for new creative testing and localization process. - Work with Hasbro team on necessary approvals. - Partner with the game production and live ops teams on timing and deliverables for consumer facing new features, events, and promotion. - Oversee marketing analytics, including dashboards, budget tracking, reports and ad hoc analysis. - Help drive development and processes for our player CRM program and campaigns. - Constantly review current processes and systems and improve upon them to make a more efficient marketing organization. Qualifications - Experience in marketing in live service, including gaming, digital entertainment, or digital services. - Strong experience in project management. - Strong operator and executor with exceptional planning and organisational skills. - Demonstrable experience of being highly collaborative and results-driven. Requirements - For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below: - Annual Salary Range: $113,900 — $168,000 USD. - In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Benefits - Healthcare benefits. - Retirement benefits. - Pet insurance. - Paid holidays. - Paid Scopely free days. - Unlimited paid time off.

• Provide front-line technical support to customers via phone, email, and chat for DTN grain ERP solutions • Gather and analyze customer information to diagnose, troubleshoot, and resolve product issues • Prioritize and manage support requests to ensure timely resolution based on business impact and urgency • Troubleshoot issues related to software functionality, application, compatibility, and customer workflows • Identify, document, and communicate software defects, including clear reproduction steps and recommended resolutions or workarounds • Partner with customers to optimize operational workflows and maximize the value of their ERP platform • Resolve complex customer issues while serving as a knowledge resource for peers and team members • Collaborate with Product, Development, and Implementation teams to diagnose software issues and recommend product improvements • Document recurring issues, customer feedback, and support insights to drive continuous improvement initiatives • Contribute to knowledge base articles, support documentation, and best practices for internal and customer use

Director, Product Management Operations & AI Enablement - Capital One Software (Remote) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About Capital One Software Capital One is a digital-first financial institution that has successfully productized its technology DNA into a standalone, enterprise B2B SaaS business division. Capital One Software commercializes the battle-tested, cloud-native tools built in-house-such as Slingshot (for Snowflake optimization) and Databolt (for advanced data security and AI enablement)-to help other Fortune 500 companies accelerate their cloud, data, and AI journeys. This unique, software-centric identity is embedded deeply across the enterprise, inspiring us to build and deploy internal platform tools with the same rigor, scalability, and commercial mindset as our outward-facing products. About the Team & Role The Product Operations team sits at the critical intersection of product strategy, engineering execution, and organizational design. Our mission is to eliminate process overhead, build the infrastructure for data-driven decisions, and empower product managers to maximize shipping velocity and business outcomes. Central to this mission is driving the adoption, integration, and operational deployment of our advanced internal and external AI toolkit across our newly formed AI Native Pods. As the leader of this team, you will not be product-managing the underlying software tools themselves; instead, you will lead the team responsible for figuring out how best to deploy our internal and external AI toolkit across the enterprise to maximize business outcomes, and developing the optimal roles and responsibilities of AI Native Pod members. You will architect the next generation of our Product Development Life Cycle (PDLC), leading a substantial paradigm shift: evolving our delivery organization from traditional, legacy Agile methodologies into an AI-Native Software Development Lifecycle (SDLC). You and the team will optimize every step in the process from Discovery to Roadmap Planning to Release Management. Capital One Product Framework In this role, you'll be expected to leverage your team to demonstrate mastery across Capital One's five core product pillars: - Human Centered: Obsesses over internal product managers and engineers as your target customers, ensuring AI tools are deployed in ways that genuinely remove friction rather than adding administrative burden. - Business Focused: Drives portfolio leverage, resource forecasting, and execution excellence to ensure AI tooling adoption directly translates to accelerated business outcomes and speed-to-value. - Technology Driven: Champions the deployment of enterprise AI enablement tools, automation, and agentification frameworks to drive measurable productivity gains across the organization. - Integrated Problem Solving: Identifies and resolves complex cross-functional bottlenecks with a pragmatic, non-dogmatic approach to dismantling outdated delivery frameworks. - Transformational Leadership: Influences senior business, technical, and risk leaders to align around modern operating rhythms and adopt an AI-Native culture. Key Responsibilities 1. Process Optimization & Governance - Streamline Intake & Prioritization: Standardize frameworks for cross-functional requirements gathering, portfolio investment trade-offs, and strategic planning cycles. - Eliminate Operational Friction: Audit existing Agile/Scrum overhead, systematically removing non-value-add meetings and administrative roadblocks so product managers can focus on customer discovery and strategy. - Cross-Functional Connective Tissue: Align Product, Engineering, Design, Risk/Legal, and Go-To-Market (GTM) teams around unified operating rhythms and clear stakeholder communication streams. 2. Operating Model & AI-Native Tooling Deployment - Transform the SDLC: Redesign and mature the end-to-end Product Lifecycle Management (PLM) and SDLC frameworks, moving teams from rigid, sprint-based execution to continuous, AI-accelerated delivery workflows. - Orchestrate AI Tooling Adoption: Lead the enterprise-wide operational strategy, rollout, and scaling of our core internal AI platform and third-party AI enablement capabilities (e.g., automated PRD creation, AI-assisted roadmapping, synthetic user testing, and AI-driven release documentation). - Define "Agentification" Playbooks: Partner with engineering leadership to build the frameworks and playbooks required to integrate AI agents into daily team routines, requirements intake, backlog governance, and quality management. - Build AI Fluency: Establish a Product Center of Excellence to upskill product teams in AI literacy, prompt engineering, and responsible AI guardrails, ensuring organizational readiness. 3. Process Improvement Insights & Experimentation - Process Insights Infrastructure: Manage the product operations tooling stack (Jira, LogRocket, etc.) to enable the team to complete AI-Native workflows with optimal efficiency. - Outcome-Based KPIs: Establish and monitor, in partnership with the Data & Analytics team, organizational metrics beyond pure delivery velocity to additional business outcomes, tracking how AI-Native development impacts all aspects of the value chain. Basic Qualifications: - Bachelor's degree in any field and 5 years of Product Management experience Preferred Qualifications: - Transformation & Deployment Track Record: Proven success leading the rollout, change management, and scaled adoption of large enterprise software platforms, developer tools, or enterprise-wide Agile/DevOps transformations. - AI Technical Literacy: Deep familiarity with emerging AI tool chains, developer agents, and LLM capabilities. Experience scaling internal AI productivity tools - Methodology Expertise: Strong structural understanding of traditional product frameworks (Scrum, Lean, Design Thinking) paired with a highly pragmatic approach to automating or dismantling them. - Influence & Executive Presence: Exceptional communication skills with a demonstrated ability to partner with and influence VPs of Product, Engineering Directors, and senior risk leaders without direct authority. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $209,500 - $239,100 for Director, Product Management McLean, VA: $230,400 - $263,000 for Director, Product Management Richmond, VA: $209,500 - $239,100 for Director, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

• Support product planning and operating processes, including roadmap reviews, intake workflows, dependency tracking, release coordination, and follow-up on key initiatives • Maintain and improve team processes, templates, standards, and documentation to promote consistency, visibility, and execution quality across the product organization • Partner with Product Management, Engineering, Design, customer-facing teams, and other stakeholders to support alignment, decision-making, and effective execution • Prepare and maintain dashboards, reports, and analysis that provide visibility into delivery progress, product health, adoption signals, and operational performance • Maintain accurate product documentation, decision logs, and internal knowledge resources so teams can move faster with stronger shared context • Identify manual, repetitive, or unclear workflows and recommend improvements through process refinement, standardization, automation, and AI-enabled tools • Use AI tools responsibly to support research, synthesis, drafting, analysis, knowledge retrieval, and workflow acceleration while validating outputs with sound judgment • Help identify, test, and scale practical AI use cases that improve how Product works, including meeting summarization, content drafting, workflow support, knowledge access, and lightweight automation • Contribute to an iterative operating model where processes evolve as the team learns, priorities shift, and new tools create better ways of working • Help evolve how Product works in an AI-first organization by modeling curiosity, adaptability, and strong day-to-day use of AI in support of quality and speed