Role Description A glimpse into the role: Senior PM role in an evolving AI product environment, with around 40% of the role focused on delivery, execution and operational coordination today. You’ll work side-by-side with engineers, navigate ambiguity, and drive delivery as much as direction - turning ideas into shipped products in a fast-moving, build-first environment. What you'll be doing - Own a key product area, working closely with the Head of Product to balance strategic direction with effective day-to-day execution. - Develop a strong understanding of user needs through a combination of qualitative research, stakeholder collaboration, and data analysis. - Drive product delivery from discovery through to launch, ensuring initiatives move forward efficiently and blockers are proactively resolved. - Work closely with Engineering and Commercial to translate user, business, and operational needs into clear, deliverable requirements. - Own and prioritise the product backlog, balancing new functionality, experience improvements, technical constraints, and platform enhancements. - Collaborate proactively across Product, Engineering, Design, Data Science, Operations, and commercial teams to align priorities and drive delivery. - Make pragmatic product decisions quickly, balancing user value, technical feasibility, business priorities, and delivery pace. - Stay close to implementation details and support teams throughout the delivery lifecycle, not just at the planning stage. - Identify clear success metrics and use data to evaluate product performance and inform prioritisation. - Contribute to product direction and continuous improvement within a complex and evolving SaaS environment. - Leverage AI to accelerate discovery and delivery, enabling your team to work efficiently and deliver impact quickly. - Ensure teams have clear objectives, visibility of priorities, and alignment on how work contributes to broader company goals. Qualifications - Proven experience managing complex web-based SaaS products in fast-paced startup or scale-up environments. - Excellent prioritisation skills, balancing user needs, commercial priorities, technical feasibility, and delivery constraints. - Strong execution and delivery skills, with experience shipping impactful products at pace. - Comfortable operating hands-on within delivery-focused product roles, not solely strategic product leadership positions. - Strong technical fluency and confidence working closely with engineering teams; an engineering background or product-engineering mindset is highly valued. - Ability to gather, refine, and communicate clear product requirements across technical and non-technical stakeholders. - Comfortable working within ambiguity, evolving priorities, and complex or legacy product environments. - Strong product judgement and critical thinking skills, with confidence to challenge assumptions and make pragmatic decisions. - Experience collaborating closely with engineers and designers in lean, cross-functional teams. - Proactive and highly collaborative, with strong stakeholder management and communication skills. - Strong analytical skills, using quantitative and qualitative insights to inform decisions and prioritisation. - Comfortable creating wireframes, user flows, and lightweight UX concepts where needed. - Experience leveraging AI tools and workflows to improve product discovery, delivery, or team efficiency. - Understanding of AI fundamentals and responsible AI product development principles. - Adaptable, curious, and comfortable moving between strategic thinking and detailed execution work. - Experience working with agile product development methodologies in remote or distributed teams. Requirements - Experience working within HR Tech or adjacent SaaS domains. - Familiarity with ATS platforms, recruitment technology, or people operations tooling. - Experience using AI-assisted product development or prototyping tools such as Claude, Lovable, Cursor, or similar. - Previous experience working within complex or legacy product ecosystems. Benefits - Meaningful share options. - Health insurance. - Enhanced pension. - Nursery salary sacrifice scheme. - 25 days holiday. - Remote-first. - Work from home budget. - L&D budget. - Dental cover. - Eyes care support. - Co-working space. - Wellbeing allowance. - Travel insurance. - Electric car scheme.

Digital Product Strategy and Innovation Manager x3 remote type Flex Commuter / Hybrid locations Portugal - Lisbon time type Full time job requisition id R-244031 Career Category Information Systems Job Description Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces™ ranking by Great Place to Work® in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201–500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture. We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology. This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more. Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients. What we do at AMGEN matters in people’s lives. Digital Product Strategy and Innovation Manager LIVE WHAT YOU WILL DO In this role, you will join Amgen’s Portugal-based AI Digital Product Enablement team within the AI&D Lab Product Management organization. Reporting to the Associate Director of Product Management based in Portugal, you will be a Product Owner supporting AI and digital initiatives across a global delivery model. This role is designed to support a follow-the-sun operating model, serving as a key bridge between US-based business stakeholders and global delivery teams, including India. You will help translate business priorities into execution-ready product work, reduce ambiguity across regions, and improve the quality and consistency of handoffs so delivery can progress efficiently across time zones. The ideal candidate brings strong product ownership skills, technical fluency, operational discipline, and the ability to work effectively across business, engineering, and data science teams to support AI delivery excellence. Support follow-the-sun product delivery - Act as a day-to-day bridge between US business stakeholders and global delivery teams, including India, to maintain momentum across time zones. - Ensure work is clearly translated, prioritized, and handed off so teams can execute with minimal delay. - Help improve delivery continuity by identifying blockers, clarifying open questions, and ensuring work is ready for the next team to advance. Provide product ownership for AI and digital solutions - Act as Product Owner for AI and digital solutions within Agile delivery models. - Own and manage product backlogs, including prioritization, refinement, and readiness for engineering execution. - Create and maintain clear user stories, acceptance criteria, dependencies, and requirements to support high-quality delivery. Translate business needs into technical execution - Partner with business stakeholders to understand priorities, user needs, and intended outcomes. - Translate business requirements into actionable product requirements, user stories, and delivery plans. - Work closely with engineering, data science, and technical teams to align on scope, tradeoffs, and execution path. Drive execution excellence and delivery quality - Apply consistent product management and Agile practices across assigned initiatives. - Track delivery progress, identify bottlenecks, and help improve team throughput and handoff quality. - Use structured tools, processes, and operating rhythms to improve speed, transparency, and predictability. Measure product and business outcomes - Define and monitor product metrics, adoption measures, delivery KPIs, and, where applicable, model-performance indicators. - Use data, stakeholder feedback, and operational insights to inform prioritization and continuous improvement. - Provide clear updates to the Associate Director and key stakeholders on progress, risks, dependencies, and outcomes. Contribute to the Portugal enablement team - Collaborate with peers across the Portugal-based enablement team to support consistent practices, effective handoffs, and strong stakeholder experiences. - Contribute to a high-accountability, high-collaboration team culture focused on quality, speed, and business impact. - Help strengthen Amgen’s global AI product delivery model through disciplined product ownership and execution support. WIN WHAT WE EXPECT OF YOU Basic Qualifications: Doctorate degree OR Master’s degree and 2 years of technology and/or product management experience Or Bachelor’s degree and 4 years of technology and/or product management experience Or Associate’s degree and 8 years of technology and/or product management experience Preferred Qualifications: - 4+ years of product owner (or related) experience; 2+ years in AI/ML or data-driven products. - Experience with AI platforms, MLOps, or enterprise AI architecture. - Familiarity with AI (e.g., LLMs, agents, NLP) and ML productization at scale. - Strong presentation and public speaking skills with experience communicating to executives - Familiarity with biotech workflows (e.g., lab automation, computational biology, clinical data, etc). - Hands-on ability to analyze product usage, model output quality, or design A/B experiments. THRIVE WHAT YOU CAN EXPECT OF US As we work to develop treatments that take care of others, we also care deeply for our teammates’ well-being and growth. · Vast opportunities to learn, develop, and move up and across our global organization. · Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act. · Generous AMGEN Total Rewards Plan comprising healthcare, finance, wealth, and career benefits. · Flexible work arrangements. APPLY NOW Objects in your future are closer than they appear. Join us. CAREERS.AMGEN.COM EQUAL OPPORTUNITY STATEMENT AMGEN is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Digital Product Manager, Strategy and Innovation remote type Remote locations United States - Remote time type Full time job requisition id R-245291 Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Digital Product Manager, Strategy and Innovation What you will do Let’s do this. Let’s change the world. Digital Product Manager, to join the AI & Data Lab Product Management Team. This role is focused on rapidly validating high-potential AI and data-driven business opportunities before major investment, helping Amgen determine which AI initiatives should be scaled, refined, paused, or redirected. The Digital Product Manager will operate at the intersection of business strategy, AI product discovery, data readiness, technical feasibility, experimentation, and enterprise transformation. You will partner closely with business leaders, scientists, data scientists, machine learning engineers, data engineers, software engineers, architects, and functional experts to identify meaningful problems, shape AI-enabled opportunity hypotheses, run fast validation cycles, and generate evidence-based recommendations for investment decisions. This role requires a strong product mindset combined with sufficient technical depth to evaluate whether AI and data opportunities are practical, scalable, measurable, and aligned to Amgen’s enterprise technology direction. The successful candidate will understand how AI products are built, validated, deployed, monitored, and scaled in complex enterprise environments. Responsibilities: Identify, frame, and validate AI-enabled business opportunities across Amgen. Translate broad transformation themes into clear problem statements, testable hypotheses, user needs, data requirements, success metrics, and validation plans. Evaluate whether proposed AI opportunities have the right data foundations, system integrations, architecture patterns, model capabilities, security controls, and operational support needed to move from concept to scalable solution. Collaborate with data scientists, ML engineers, data engineers, software engineers, solution architects, platform teams, and cybersecurity partners to shape solution concepts, understand technical tradeoffs, and identify dependencies early in the validation process. Design and execute rapid discovery sprints, prototypes, pilots, user research, and experiments to assess desirability, feasibility, viability, value, and risk. Use evidence to determine whether opportunities should advance, pivot, pause, or scale. Assess how LLMs, AI agents, machine learning models, NLP, automation, knowledge retrieval, analytics, and intelligent workflow tools can improve productivity, decision quality, scientific discovery, operational efficiency, and workforce effectiveness. Develop product requirements that account for user experience, data availability, model performance, output quality, explainability, reliability, latency, integration needs, governance, and ongoing measurement. Synthesize findings from validation work into clear product recommendations, opportunity briefs, technical feasibility assessments, business cases, and executive-ready narratives. Help leaders make informed decisions about where to invest, scale, or stop. Maintain a portfolio of AI opportunity experiments across stages of discovery, prototype, pilot, and scale-readiness. Track progress, risks, assumptions, evidence, data dependencies, architecture implications, and decision points. Ensure validation efforts consider responsible AI, data privacy, model risk, cybersecurity, compliance, regulatory considerations, human oversight, change management, and enterprise scalability from the earliest stages of discovery. Facilitate workshops, discovery sessions, prioritization discussions, technical feasibility reviews, user experience design, process mapping, and decision forums. Communicate complex AI and data concepts in a clear, business-oriented way for senior leaders and non-technical stakeholders. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The Digital Product Manager we seek will have these qualifications. Basic Qualifications: Doctorate degree OR Master’s degree and 2 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience OR Bachelor’s degree and 4 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience OR Associate’s degree and 8 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience OR High school diploma / GED and 10 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience Preferred Qualifications: 4+ years of product management, product strategy, innovation, consulting, digital transformation, or related experience. 2+ years of experience with AI, machine learning, data products, automation, LLMs, agents, NLP, analytics, or enterprise AI solutions. Working knowledge of AI product development, including discovery, prototyping, model evaluation, deployment, monitoring, and iteration. Familiarity with generative AI, LLMs, retrieval-augmented generation, AI agents, prompt engineering, model orchestration, NLP, predictive analytics, or intelligent automation. Understanding of data architecture concepts, including data pipelines, data lakes, data warehouses, APIs, metadata, master data, data governance, and data quality. Familiarity with enterprise AI platforms, MLOps, model lifecycle management, responsible AI practices, and AI governance. Ability to partner with technical teams to assess solution architecture, integration complexity, platform fit, security implications, and operational scalability. Experience running product discovery, design thinking, lean startup, rapid prototyping, experimentation, pilots, or proof-of-concept initiatives. Ability to evaluate AI opportunities across desirability, feasibility, viability, value, risk, scalability, and data readiness. Experience developing business cases, opportunity assessments, technical feasibility summaries, executive narratives, or investment recommendations. Familiarity with biotech, pharmaceutical, R&D, manufacturing, medical, or enterprise business workflows. Strong presentation and storytelling skills, including experience communicating technical recommendations to senior leaders. Hands-on ability to analyze user feedback, usage data, workflow metrics, model outputs, experiment results, or AI product performance. Comfort working in fast-paced, cross-functional environments where priorities evolve quickly. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. . Salary Range 126,510.60USD -171,161.40 USD

• shape churn prevention and retention offering across payments and billing platform • own churn prevention, dunning, and salvage flows • lead product strategy for dunning and proactive retention interventions • build configurable surfaces that serve diverse merchant base • own KPIs that matter for retention and revenue impact • lead end-to-end delivery of complex initiatives • align senior stakeholders around product strategy • craft compelling written narratives for decision-making • collaborate with engineering on billing logic and platform decisions