Title: Product Manager, Monetization Location: San Francisco, CA | New York City, NY | Seattle, WA Job Description: About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for Monetization, you'll drive revenue growth across our product suite spanning Claude.ai, Claude Code, Claude Cowork, and Claude Platform. You'll work closely with other growth teams that are focused on driving growth for specific audiences. You'll also partner with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI. Responsibilities: - Develop and execute a product strategy focused on increasing revenue growth across our suite of products - Drive monetization efforts spanning the likes of pricing & packaging, free-to-paid conversion, and consumption-based billing - Analyze product metrics and user feedback to identify monetization opportunities and optimize performance - Collaborate with engineering, design, and marketing teams to deliver high-impact growth initiatives - Conduct user research to understand customer needs and pain points - Define and track key performance indicators (KPIs) for growth initiatives - Balance rapid iteration with our commitment to AI safety and ethics Qualifications: - 6+ years of product management experience, majority in growth focused roles - Experience working on growth for mass-scale subscription businesses - Direct experience owning monetization - pricing, packaging, paid conversion, or upgrade funnels - Strong analytical skills, and experience with A/B testing and funnel optimization - Excellent communication and stakeholder management skills - Ability to thrive in a fast-paced, ambiguous environment - Passion for AI technology and its potential impact on society - Technical background or ability to work effectively with engineering teams - Founder experience is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Title: Global Data Management AI & Automation Product Manager Location: Atlanta United States Job Description: Role Overview This new role within the Global Data Office (GDO) will drive the strategy and roadmap for global data management capabilities, specifically focusing on agentic AI and AI-first solutions and platform. You will bridge the gap between innovative solutions developed by GDO and global data scientists, enterprise leverage and scale, and operational execution. You will take Equifax's global data fabric and other cloud components to the next level of automation. While our data scientists build the AI agents and solutions, and IT manages our global technical infrastructure, you will be responsible for the full lifecycle of product strategy, planning, and delivery of these solutions to internal (and, in some cases, external) users. Your missions are driving strategies (1) to ensure "AI Ready Data" is available to drive Equifax's customer-facing AI solutions, including our development of an enterprise semantic layer and (2) to automate common data management tasks to make it faster and easier to innovate with and use Equifax data. Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week. This role reports to our Midtown (OAC, Atlanta) office and our Alpharetta (JVW) office may be considered. This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support. This is a direct-hire role and is not open to C2C or vendors. What You'll Do - Strategic Influence & Global BU Alignment: Act as a strategic partner aligning different business units, IT, and functions with a shared vision for scale, innovation, and efficiency for AI Ready Data and AI-driven data management products, bridging the gap between technical "how" and business "why" to secure funding and adoption. - Capability Discovery & User Centric Design: Utilize design thinking, value stream mapping, and other techniques to identify and measure friction in BU data management operations & analytics processes, and co-design capabilities and user journeys focused on both local needs and global impact. - Technical & Functional Partnership: Drive collaboration on required capabilities (people and processes, in addition to tools), providing expertise and "systems thinking" in the design of a global "AI-first" architecture for data. - Internal Product Roadmap Execution: Manage the roadmap for AI Ready Data and AI-driven data management products, forecast and plan resource requirements for initiatives, and establish routines to drive cross-functional execution. Partner with data scientists, IT, and others to evolve prototypes into deployed and adopted internal services, using measurement of improvement and efficiency gains to continuously refine the product roadmap and drive the next cycle of innovation. - Product Strategy & Go To Market: Orchestrate the launch and adoption of internal data management-tasked AI solutions by defining product positioning, identifying high-impact use cases, and establishing feedback loops between data science teams and business units to ensure measurable ROI. Establish and lead a "federated internal market" and identify opportunities to monetize internal solutions with external customers. What Experience You Need - Education: Bachelor's degree in a STEM major or related field required; Master's Degree in technical or business discipline preferred - Product Expertise: 10+ years of experience in product management, particularly in financial services or high-scale data / digital business models - Technical Literacy: Proven experience with cloud-based products (GCP preferred) and a deep understanding of cloud architecture and deployment models; hands on experience working with large datasets using foundational (SQL, Python, etc.) and big data data technologies; experience working with sensitive data (PII, PCI, etc.) - Agentic AI/MLOps Experience: Experience bringing AI solutions (esp. Agentic AI) from prototype to production - Execution Methodologies: Demonstrated success applying Agile, Lean Thinking, and Design Thinking to drive collaborative execution and innovation - Strategic Leadership: Demonstrated ability to lead through influence in a highly matrixed, federated environment, coordinating across independent global business units What Success Looks Like - The Global Semantic Layer is standardized as the "Source of Truth" for EFX.AI, reducing hallucination rates, ensuring metric consistency, and improving agent performance across all 7 regions. - Internal AI Agents have automated routine, time intensive, and error prone data management workflows, achieving positive incrementally delivered ROI - A "Federated AI Marketplace" is active, with Business Units contributing their own "AI Ready Data" products and agentic AI data management solutions to global infrastructure. #LI-AM2 #LI-Hybrid

Role Description As a Product Marketing Manager, reporting directly to Anaïs, our Lead Marketing, you will be responsible for the positioning and go-to-market of Omnidoc’s solutions. You will work closely with the Product, Sales, CSM, and Marketing teams to: - Act as the voice of the market within the Product team, bringing customer insights to shape product decisions and priorities. - Turn our innovations into clear, tangible value for healthcare professionals. - Design and execute impactful product launches. - Equip Sales & CSM with practical and effective tools that make a real difference. - Build a deep understanding of the market, customer needs, and competition. Qualifications - Experience in product marketing or related field. - Strong understanding of market dynamics and customer needs. - Excellent communication and collaboration skills. Requirements - Conduct market & competitive intelligence, and share insights to influence the product roadmap. - Collect and structure customer and field feedback (in collaboration with Sales & CSM) to feed the Product roadmap (together with the Product Manager). - Ensure a continuous feedback loop between Product, Marketing, Sales, and CSM. - Define and refine the positioning and key messages of our solutions. - Guarantee consistency of messaging across all channels and assets. - Define and execute launch plans tailored to the scope (minor feature vs. strategic launch). - Design and produce product communication materials (product sheets, videos, etc.). - Create resources to empower the Sales team (pitch decks, objection handling guides, demo scripts, etc.). - Provide launch kits, tutorials, FAQs, and educational content to support our clients. - Orchestrate external and internal communications (customer/prospect emails, LinkedIn, internal announcements). - Train internal teams on product positioning and new features. - Contribute to activation, onboarding, and product adoption to maximize engagement, retention, and recurring usage. - Implement Product-Led Growth initiatives (emails, in-app campaigns, educational content, nurturing). - Monitor and analyze usage, adoption, and retention KPIs, and recommend corrective actions. Benefits - Competitive salary and performance-based bonuses. - Comprehensive health benefits. - Flexible working hours and remote work options. - Opportunities for professional development and growth.

• Define and evolve the product vision and strategy for the Teach planning and teaching tool and our digital curriculum solutions, including The Creative Curriculum Cloud. • Build a product vision and strategy for our content management system. • Ensure alignment between curriculum, digital experience, and classroom realities. • Drive clarity on how digital curriculum enhances teacher workflows and strategy for driving digital curriculum usage. • Translate company goals into clear product direction and priorities. • Lead Product Managers across Teach, the CMS and curriculum capabilities. • Drive roadmap clarity, prioritization, and tradeoff decisions. • Partner with Engineering, Design, and QA for high-quality delivery. • Work closely with Marketing to ensure strong Go-to-Market plans and execution that drive revenue. • Make data-informed decisions with a bias for action. • Stay connected to educator workflows and needs. • Incorporate customer feedback, usage data, and research into decisions. • Leverage Voice of Customer systems and insights. • Validate concepts with teachers and stakeholders. • Align Product, Curriculum, Engineering, Design, CX, Sales, and Marketing. • Ensure shared understanding of product direction and experience. • Communicate clear executive-level narratives. • Lead and develop Product Managers. • Elevate product thinking and instructional empathy. • Foster customer-focused, high-quality product culture.