• Drive the technical evolution of artificial intelligence and machine learning solutions across our client's global business portfolio. • Serve as the technical owner for how AI/ML engineering is designed, built, governed, and deployed. • Design and own the playbook for AI productization and governance, defining service patterns, security standards, evaluation rubrics, and production-readiness criteria. • Build reusable internal tooling, including AI scaffolding, monitoring systems, and data infrastructure designed for widespread adoption. • Establish robust AI agent governance policies (permissions, code execution controls, system access, human-in-the-loop enforcement). • Partner with Security, Legal, and Compliance teams to define SOC2/ISO-aligned AI controls, vendor requirements, and data classification policies. • Define standardized deployment patterns using containerization, Infrastructure-as-Code (IaC), and reusable CI/CD pipelines. • Champion AI-assisted development practices, test-driven development (TDD), and modern software engineering standards across the organization. • Codify engineering baselines (CI/CD, DevOps, testing, delivery quality) for new and re-platformed products. • Mentor engineers and tech leads, driving measurable improvements in design quality, consistency, and production rigor. • Act as the primary technical authority on AI/ML, platform architecture, and modern engineering practices. • Bridge the gap between technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform trade-offs into actionable executive guidance.

• Partner closely with field and AI Specialist teams to evangelize, scope, and deliver Red Hat AI service offerings • Develop and deliver highly customized, first-of-a-kind offerings for customer delivery • Serve as the critical thread of service delivery continuity bridging the gap between initial sales solutioning and flawless execution for customers • Transform your projects into repeatable engines by aiding in the development of global best practices, enablement collateral, and delivery guardrails • Work independently and lead the resolution of varied and non-routine complex technical requirements • Support the development and review of complex task lists, providing expert guidance on project scoping and ensuring alignment with customer requirements • Lead multiple standard engagements or multiple workstreams on a complex engagement • Engage at a high level with customers to understand their business complexities

Role Description As Platform Marketing Manager, AI, you will sit at the center of the Jeppesen ForeFlight Airflow™ launch - AI that reasons in context, shows its work, and operates inside aviation's safety management system. You will own positioning, messaging, launch content, and enablement for the AI portfolio while project managing the rollout across Product, Engineering, Sales, and Communications. Your market and competitive analysis will inform go-to-market strategy, segmentation, and packaging, working day-to-day with senior Product and Marketing leadership. You should be AI-native: fluent in modern AI tools and the developer ecosystem behind them, including agents and MCP servers. It is an early-career role with unusual scope and executive visibility. You will help define how aviation understands AI it can trust. Key Responsibilities - Develop positioning, messaging, and value narratives for the Jeppesen ForeFlight Airflow™ platform and its agent portfolio, translating technical capabilities into clear customer value. - Project manage the AI portfolio rollout end-to-end: build and own launch plans, coordinate timelines and deliverables across Product, Engineering, Sales, and Communications, and support the limited beta program with partner-facing communications and feedback loops. - Partner with cross-functional teams to create launch, campaign, and enablement content that makes the Jeppesen ForeFlight Airflow™ value proposition clear to airlines and operators. - Track the AI landscape, including model providers, agent frameworks, open standards, and competitive offerings, turning insights into competitive strategies. - Champion AI-native ways of working: bring AI tools into the team's marketing workflows and share knowledge about the modern AI stack. Qualifications - 3-5 years of professional experience in product marketing, strategy consulting, or a similar strategic role, with exposure to marketing a technical, B2B, or SaaS product. - AI-native: familiar with AI tools like Claude, ChatGPT, or Copilot and the AI developer ecosystem. - A strong writer and storyteller who can turn complex technical concepts into compelling narratives for both technical and executive audiences. - An organized project manager comfortable owning a launch plan, running cross-functional check-ins, and tracking dependencies. - Comfortable with ambiguity: energized by new platforms in new categories. - A collaborative, low-ego teammate who leads through influence and communicates proactively. Preferred Qualifications - Experience marketing an AI product, developer platform, or API-based product. - Hands-on experience building with AI, including configuring agents or setting up MCP servers. - Familiarity with aviation, aerospace, or another safety-critical or highly regulated industry. Benefits - Medical, dental, vision insurance with Employer paid health premiums. - Open PTO Policy. - 401(k) with up to 10% company matching and immediate vesting. - 12 Weeks Paid Parent Leave. - Flight Training Rewards. - Pay is based upon candidate experience and qualifications: Summary Pay Range: $122,000.00-$150,000.00.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This role allows you to be at the forefront of technological advancement while mentoring the next generation of engineers and shaping the future of AI solutions. Responsibilities - Mentor junior engineers and foster their growth - Maintain security and scalability of AI-powered solutions - Collaborate with cross-functional teams to achieve project goals - Stay at the forefront of technological advancements in AI What You Must Have - Bachelor's Degree - At least 6 years of experience in software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college What Sets You Apart - Master's Degree preferred - Demonstrating proven experience leading cloud and platform engineering teams - Offering hands-on experience with Azure, DevOps, and enterprise integration patterns - Bringing systems thinking to design end-to-end platforms - Coaching and mentoring engineers to foster a culture of excellence - Managing delivery plans, dependencies, and risks effectively - Operating production platforms with a focus on reliability and security - Working with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities - Defining and enforcing automated testing strategies - Architecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategy The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote