Senior AI Digital Product Manager – AI Studio

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $162k - $219.2k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Lead the strategy, roadmap, prioritization, and delivery of a portfolio of AI applications and intelligent agents • Lead a cross-functional product team through discovery, delivery, and continuous improvement • Evaluate and prioritize AI opportunities based on customer value, technical feasibility, business impact, and strategic alignment • Partner with scientists, researchers, business stakeholders, and end users to understand workflows and identify high-value AI opportunities • Validate solutions through user research and rapid prototyping • Translate business needs into product requirements • Partner with engineering, AI engineering, data science, UX, and external partners to deliver AI solutions • Lead AI products from opportunity discovery through enterprise deployment • Build reusable product patterns for future AI delivery • Ensure products are scalable, reliable, secure, and cost effective • Own product KPIs including adoption, usage, customer satisfaction, model quality, reliability, latency, and business impact • Use analytics, experimentation, and customer feedback to continuously improve products • Deliver AI products in 2 to 6 month development cycles

🎯 Requirements

• Experience leading digital AI products, defining product strategy and roadmaps, and measuring product success • Strong technical fluency across AI technologies, cloud platforms, APIs, and modern software development • Ability to collaborate with software engineers, AI engineers, data scientists, UX designers, architects, and business stakeholders • Excellent critical thinking, communication, and stakeholder management skills • Master's degree and 6 years of Information/Technology Systems experience OR Bachelor's degree and 8 years of Information/Technology Systems experience OR Diploma and 12 years of Information/Technology Systems experience • Preferred: 8+ years of product management experience, including 5+ years delivering AI/ML, enterprise software, or digital products • Experience leading cross-functional teams delivering AI applications, intelligent agents, or enterprise software from concept through enterprise adoption • Strong understanding of LLMs, AI agents, RAG, prompt engineering, AI evaluation, and ML productization in enterprise environments • Experience with enterprise AI platforms and modern cloud technologies such as AWS, Azure, Databricks, OpenAI, MLflow, or comparable AI development platforms • Experience applying customer discovery, rapid prototyping, experimentation, analytics, and AI quality metrics to guide product decisions • Experience partnering with engineering, AI engineering, security, and business teams while communicating product strategy and outcomes to executive leadership • Familiarity with biotechnology, pharmaceutical research, laboratory, clinical, or scientific workflows is preferred • Sponsorship for this role is not guaranteed

🏖️ Benefits

• A comprehensive employee benefits package • Retirement and Savings Plan with generous company contributions • Group medical, dental & vision coverage • Life & disability insurance • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Financial plans with opportunities to save towards retirement or other goals • Work/life balance