• Manage the entire product life cycle from strategic planning to implementation and continuous improvement • Lead a cross-functional team through agile processes (roadmapping, sprint planning, backlog grooming, daily scrum, sprint reviews) • Monitor risks, quality and project progress • Constantly communicate with stakeholders and align progress with business process, goals, objectives and strategy. Be a subject-matter expert for them • Analyze user behavior, gather necessary data to systematize the feedback into effective solutions • Own product backlog and make sure it is well-structured, prioritized, decomposed and stories description is enough for the team to successfully implement features • Forecast impediments to sprint backlog or completion during planning to solve bottlenecks where necessary. • Be able to define short and long term goals

• Define and develop the product vision, strategy, and roadmap for Fortary with a focus on institutional trading, lending and liquidity, aligning with company objectives • Execute cross-functionally with engineering, business development, marketing, and design to deliver impactful product outcomes • Research and understand customer needs across institutional segments to inform product direction • Define and benchmark institutional competitors with a focus on institutional trading, lending, and liquidity to differentiate Fortary with it’s clients. • Define market opportunities and develop them into clear product strategies, prioritized roadmaps, and revenue streams. • Develop and scale core platform capabilities across Fortary, ensuring a seamless, secure, and high-quality user experience • Work closely with engineering and design teams to scope, prioritize, and deliver product milestones • Engage with institutional clients and partners to gather feedback, validate solutions, and drive adoption • Deliver go-to-market strategy, product positioning, and successful product launches • Translate complex technical concepts into clear requirements and business value for internal and external stakeholders • Execute effectively in a fast-paced, evolving environment where adaptability and ownership are critical

Job Description Summary Job Description Roles and Responsibilities: Data Architecture & Governance - Own the data architecture for the central compliance function, mapping how data flows across critical processes, systems, and tools. - Develop and maintain data models, entity-relationship diagrams, data flow diagrams, and data lineage maps to clearly represent how compliance data is created, transformed, and consumed. - Establish and maintain core data documentation, including a data dictionary, business glossary, and metadata repository to support consistency and reuse of data across the function. - Optimize the use of data across systems for analytics and reporting, ensuring that the compliance function can efficiently leverage data for insights and decision-making. Data Quality Management - Own data quality for the central compliance function, identifying data quality issues and root causes across systems. - Define and drive data quality improvement plans in partnership with functional teams, DT, and vendors, implementing controls, standards, and monitoring routines. Process Optimization, Automation & AI - Continually evaluate compliance processes, systems, and tools to identify waste, inefficiencies, and opportunities for automation and AI enablement. - Collaborate with the Central Compliance Analytics Leader to define detailed functional specifications for AI use cases. - Support the Central Compliance Analytics Leader in prioritized AI and automation initiatives through central DT teams, ensuring requirements are met and solutions are successfully integrated into operations. Systems Implementation & Tool Ownership - Oversee the functional implementation of new compliance systems, from requirements definition through testing, deployment, and operational integration. - Provide ongoing operational support for compliance tools and systems, working with vendors and DT to resolve issues and deliver enhancements. - Lead development of training content and deliver user training to ensure systems are used consistently and in alignment with defined business processes. Reporting & Data Products - Expand self-service reporting capabilities across Central Compliance, enabling users to access and interpret data independently. - Identify and recommend new data products or enhancements to existing products to the product council, based on emerging compliance needs and user feedback. Digital Channels & Content Operations - Own day-to-day operations for the central Compliance intranet site, compliance-related external web content, dashboards, databases, and other digital tools used by the function. - Identify and implement opportunities to streamline, simplify, and improve access, usability and consistency across digital touchpoints. Project & Portfolio Management - Manage the Central Compliance DT project pipeline on behalf of functional project leaders, from concept and functional specifications through deployment and operational integration. - Monitor project status, risks, and dependencies, ensuring transparent communication with stakeholders and alignment with compliance priorities. Data & Communication Operations - Redesign and oversee the process for establishing and maintaining distribution lists across central compliance and key partner groups, ensuring accurate, secure, and efficient communication. Team Leadership - Manage the Compliance Risk Operations Analyst, providing coaching, direction, and performance feedback. - Foster a culture of continuous improvement, data-driven decision making, and strong partnership with FLIGHT DECK coach, DT and business stakeholders. Vendor & Product Management Collaboration - Work closely with the DT Product Owner on software, license, and technical contract support needs related to compliance tools and platforms. - Attend product reviews and demos, providing clear, actionable feedback based on functional needs and user experience. - Participate in make/buy decisions by assessing software options against requirements, cost, scalability, and integration considerations. Required Minimum Qualifications: - Bachelor’s degree from accredited university or college with minimum of 8 years of professional experience OR Associates degree with minimum of 10 years of professional experience OR High School Diploma with minimum of 12 years of professional experience - Minimum 6 years of professional experience in in data management, digital product management, or business systems in a regulated or risk/compliance environment preferred Desired Characteristics: - Strong interpersonal influence and leadership skills; builds trust across teams and functions. - Familiarity with lean/continuous improvement and project management methodologies - Experience with data modeling, data quality tools/processes, reporting/BI platforms, and metadata management. - Proven program/project leadership; executes with urgency and accountability. - Resilient, creative problem-solver who navigates ambiguity with sound judgment. - Robust business and technical acumen; balances risk with operational realities. - Self-starter who proactively issue-spots and drives actions to closure. - High degree of attention to detail in all work products. - Reputation for ethical conduct, integrity and confidentiality. - Experience with global operations. - Ability to work independently and perform job functions without extensive supervision. The base pay range for this position is $206,000 to $257,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on May 4th 2026. GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual. Additional Information Compensation Grade SPB2 GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunities Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Relocation Assistance Provided: No

Location: US (Remote / Bay Area preferred) Experience: 4 years of Product Management experience Reports to: Head of Product About Level AI :Level AI is an AI-native customer experience intelligence platform helping enterprises deploy agentic AI systems that reason, act, and improve across high-volume customer interactions. Our products power real-world contact center workflows and deliver measurable business outcomes at scale. Role Overview : We’re looking for a Senior Product Manager to help build and scale agentic AI systems at Level AI. In this role, you will work closely with Engineering, Applied AI/ML, Design, and customer-facing teams to ship production-ready agentic capabilities and make them successful in real customer environments.This role emphasizes execution, customer impact, and production rigor, with opportunities to grow into broader platform ownership over time. What You’ll Do: Define and execute product initiatives for agentic AI systems, with a focus on measurable customer and business outcomesOwn significant parts of the agentic system lifecycle, including orchestration, decisioning, evaluation, and iterationContribute to building a repeatable framework for launching, evaluating, and improving agentic capabilities across customersHelp define how agentic systems are measured and improved in production, balancing autonomy with safety and reliabilityPartner closely with Engineering, Applied AI/ML, Design, and Solutions teams to ship production-ready systemsWork directly with customers to understand workflows, requirements, and success criteriaDrive customer-informed prioritization by staying close to live deployments and real usage patternsSupport best practices for agent evaluation, iteration, and safe rolloutRepresent the product in customer conversations, demos, and feedback sessions What We’re Looking For: Required - - 4 years of Product Management experience, preferably with AI-driven or platform products - Experience shipping and iterating on production software systems - Exposure to LLMs, agentic systems, or AI-powered workflows (hands-on or via close partnership) - Strong customer-facing skills and comfort working with enterprise customers - Ability to translate ambiguous problems into clear product requirements - Excellent collaboration and communication skills Nice to Have: - Experience with conversational systems, automation, or real-time decisioning - Familiarity with AI evaluation concepts, human-in-the-loop systems, or feedback loops - Experience working in enterprise SaaS or B2B platformsTechnical background or strong comfort working with engineering and ML teams Why This Role at Level AI - Work on real production agentic AI systems, not experimentsHigh exposure to customers, data, and real-world outcomes - Opportunity to grow into broader platform or Principal-level ownership - Meaningful impact on how enterprises adopt and trust AI