• Analyze user behavior, funnel metrics, and product data to identify tactical friction points, recommending and scoping high-impact feature enhancements that deepen engagement on Bold.pro. • Define key success metrics for new features, analyze post-launch performance data, and synthesize those learnings into actionable insights to inform future roadmap iterations. • Partner daily with engineering, design, and localization teams through the sprint rituals and workflows required to bring complex monetization and marketplace initiatives to life. • Translate product roadmaps into highly structured, actionable delivery plans, establishing clear sprint goals, milestones, and release governance. • Proactively identify execution risks, resource constraints, and critical-path bottlenecks early, implementing mitigation strategies to safeguard target launch dates. • Serve as the central connective tissue between Product, Engineering, Design, Marketing, and Support, ensuring absolute alignment on feature scoping, change management, and launch readiness. • Manage end-to-end operational deployment and go-to-market checklists for international (INTL) expansions and localization pipelines, ensuring fast feature parity across markets.

Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role Block Risk Product builds the systems that power our automated, intelligent, and human-in-the-loop risk and compliance operations, enabling fast, accurate decisions that protect our customers and the business across global markets. As Product Manager, Risk Automation, you will drive the vision, strategy, and execution to significantly increase automation, decision quality, and operational efficiency across risk and compliance workflows. You will leverage AI to design and scale automations that fundamentally change how risk is managed at Block while delivering measurable business impact. You will be a builder, continuously identifying high-leverage opportunities for automation and driving them from concept through execution in close partnership with engineering, data, and risk operations. You Will - Own the strategy and roadmap for AI-powered products and capabilities - Identify AI opportunities grounded in user needs and measurable business value - Translate ambiguous problem spaces into clear product requirements - Work closely with ML engineers, data scientists, and researchers on model goals, data needs, evaluation methods, and quality gates - Build and run experiments to validate hypotheses and iterate quickly - Define how the product should behave across success, failure, and edge cases - Establish metrics for accuracy, safety, latency, reliability, and UX satisfaction - Partner with design on intuitive, transparent, and safe human-AI interactions - Collaborate with legal, security, and compliance teams to ensure responsible AI practices - Lead cross-functional execution from concept through launch and iteration You Have - 6-9 years of product management experience including a proven track record launching successful AI or ML driven products. - Strong technical intuition about ML models, training loops, evaluation, prompt design, data pipelines, and real-time inference constraints - Experience designing and running structured experiments, including A/B tests and offline evaluations - An ownership mentality with the ability to rapidly drive complex, cross-functional initiatives from strategy through execution at scale. - Excellent communicator, capable of distilling complex technical concepts into clear narratives for executive, operational, and technical audiences. Ability to work across scaled risk, compliance, and operational teams in a regulated industry. - Familiarity with AI quality, safety, and responsible-use frameworks - Experience with LLMs, multimodal models, or applied generative AI - Experience building operational tooling that drives cost savings and quality EEOC We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page . While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $163,600 - $245,400 USD Zone B: $155,400 - $233,200 USD Zone C: $147,300 - $220,900 USD Zone D: $139,000 - $208,600 USD Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

• Define and own the product vision, strategy, and roadmap for Construction AI assistant workflows across Autodesk Construction Cloud • Translate customer pain points, market signals, AI capabilities, and business priorities into a clear, sequenced roadmap • Prioritize opportunities across answer-finding, project intelligence, workflow automation, document understanding, drawing/model interactions, and agentic actions • Identify where AI can create differentiated customer value versus where deterministic workflow, rules, UX, or platform improvements are more appropriate • Partner with product leadership to align Construction AI investments with Autodesk’s broader platform, data, and AI strategy • Develop deep understanding of construction personas, including project managers, superintendents, VDC/BIM teams, project engineers, estimators, document controllers, account/project admins, and executives • Conduct customer discovery to identify workflows where AI can reduce search time, rework, risk, delay, and administrative burden • Build fluency in construction documents and workflows such as RFIs, submittals, specifications, issues, meetings, schedules, drawings, models, change orders, and project administration • Monitor construction technology, AI assistant, agentic workflow, and construction automation trends to identify opportunities and competitive threats • Represent the voice of the customer in product, engineering, data science, and executive discussions • Partner closely with engineering, data science, design, and architecture teams to define AI-powered assistant experiences from concept through launch • Write clear product requirements, user stories, success criteria, model behavior expectations, and acceptance criteria for AI workflows • Collaborate on AI evaluation methods, prompt and agent behavior, retrieval quality, grounding, permissions, observability, and model performance • Ensure AI experiences are useful in real construction practice, not merely technically correct • Define product requirements for responsible AI, including transparency, user control, provenance, escalation paths, quality thresholds, and human-in-the-loop review • Work with platform and data teams to leverage construction knowledge graphs, project context, permissions, and workflow data to improve assistant quality and trust • Lead cross-functional product execution from discovery through beta, GA, adoption, and iteration • Make difficult roadmap tradeoffs using customer impact, technical feasibility, AI readiness, business value, risk, cost, and adoption data • Partner with design to create intuitive assistant and automation experiences embedded directly into customer workflows • Partner with engineering to manage dependencies, sequencing, release planning, technical constraints, and operational readiness • Partner with Trust, Legal, Privacy, Security, and Responsible AI teams to ensure AI capabilities meet Autodesk standards and customer expectations • Drive product launches in partnership with Product Marketing, Sales, Customer Success, Support, Enablement, and field teams • Define success metrics for AI assistant workflows, including adoption, task completion, answer quality, automation success, time saved, customer satisfaction, trust, retention, and business impact • Use product analytics, customer feedback, model evaluation, support signals, and field input to guide roadmap decisions • Establish feedback loops that continuously improve AI quality, usability, and workflow relevance • Communicate product performance, roadmap progress, risks, and tradeoffs clearly to stakeholders and senior leaders • Establish a clear, compelling roadmap for Construction AI assistant workflows • Build alignment across product, engineering, data science, design, GTM, and leadership • Deliver measurable progress on one or more high-value assistant or agentic workflow areas • Improve clarity around where AI should answer, recommend, automate, or defer to a human • Define repeatable product patterns for trusted AI workflows in construction • Increase customer confidence, usage, and adoption of Autodesk’s Construction AI portfolio.

• Prioritize work based on alignment to business priorities, cost, and expected return on investment; clearly articulate tradeoffs behind every call • Build and measure iteratively, shipping in increments and using success metric results to determine what's next – pivot or stay the course • Communicate clearly and often about what we’re building, why it's the most important thing to do, and how we will know if it worked • Use data to make decisions – from customer adoption analytics to competitor and market intelligence – know how to cut through the noise to find signal • Collaborate relentlessly with other product managers, design, engineering and go-to-market teams to release new value with speed. • Leverage AI-powered workflows to drive efficiency, reducing time-to-validation while delivering innovative solutions.