Role Description As a Staff Product Manager , you will take on complex, ambiguous problems and address them by developing and launching internal tools to support operations now through post-SOP. Your portfolio will adapt to meet business needs, and could include areas such as: - Workflow and case management - Scheduling - Internal platform services - Other emerging needs that surface as the business evolves This is a hands-on individual contributor role reporting to the Senior Manager of Digital Products. You will work across products at varying stages of maturity, often without a clearly defined problem space at the outset. What you’ll do: - Tackle Emerging Challenges and Opportunities: - Take on new challenges and opportunity areas as they surface. - Partner with stakeholders to surface pain points, diagnose root causes, and identify common themes. - Evaluate the cost and timing of intervention and turn those insights into a roadmap that accelerates impact. - Be willing to discard early framings as you learn more, and commit once the evidence supports it. - Build 0-to-1 and Evolve 1-to-N: - Stand up new products and platform capabilities from scratch when the need is clear. - Take ownership of in-flight tools that need to scale or be rethought. - Move comfortably between greenfield work and established systems to develop them for scale and longevity. - Cross-functional Leadership: - Partner closely with business stakeholders, engineering, design, and other product teams. - Influence architecture and integration decisions without direct authority. - Identify, communicate, and actively manage risk associated with complex cross-organizational interdependencies. - Adjust scope and sequencing to keep outcomes on track. Location & Travel Expectations: This role will be remote. Applicants should expect that the role may require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. Qualifications - 7+ years of product management experience, with a track record of supporting a range of product types or business domains. - 3+ years of experience leading enterprise-scale platforms. - Track record of shipping technical products that serve both end-customer experiences and internal operational users. - Experience with products you stood up from scratch and products you inherited and evolved. Requirements - Strong technical fluency across modern product and platform concepts, including: - The ability to manage products holistically from data models and backend services through to the UI and user experience. - Integration patterns with third-party APIs and internal source-of-truth systems. - Operational considerations for systems that handle customer and payment data responsibly. - Current best practices for building AI features in enterprise environments. - High tolerance for ambiguity and the ability to bring structure to undefined problem spaces. - Strong product judgment and the ability to develop pragmatic solutions to messy, multi-system problems. - Pattern recognition across domains, with the ability to draw on prior experience. - Flexible mindset and the ability to move fluidly between early-stage discovery work and scaling in-flight products. - Clear written and verbal communication skills. - Comfort owning outcomes in environments where authority is earned through influence. Benefits - Competitive compensation and benefits to support your physical, mental, and financial wellbeing. - Competitive insurance including: - Medical, dental, vision, and income protection plans. - 401(k) program with: - An employer match and immediate vesting. - Generous Paid Time Off including: - 20 days planned PTO, as accrued. - 40 hours of unplanned PTO and 14 company or floating holidays, annually. - Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders. - Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave.

• You will own the roadmap and strategy for two interconnected product areas: • Define and drive the product vision for a unified identity layer that represents a range of digital entities, including internal operations teams, customers, fleet partners, and vehicles. • Own strategy and execution of products that determine who can access what across internal systems, customer applications, vehicles, fleet portals, charging infrastructure, and other connected services. • Partner with internal stakeholders to understand their needs around access control, granularity, and flexibility. • Translate those needs into product requirements and collaborate with engineering to architect solutions that scale across complex digital ecosystems. • Work with other product managers and business stakeholders to understand how the platform can support their products, who their users are, how they will interact with the system, and what integrations are required. • Track delivery, surface interdependencies and roadblocks, and guide the rollout and adoption across digital product teams and vehicle asset managers. • Own the product enabling internal users to track and manage the allocation and use of resources such as vehicle inventory and logistics capacity. • Define the intelligent workflows, data models, and integrations that are genuinely useful for the people running daily operations. • Partner closely with Security & Compliance, Engineering, Legal, Design, and a range of internal operations and customer-facing teams. Influence and drive architecture decisions without direct authority over engineering.

Role Description As a Principal Product Manager, you will play a pivotal role in shaping Coursera’s product vision, delivering exceptional learner and partner experiences, and driving measurable business impact. You will operate at the intersection of strategic thinking and hands-on execution, navigating ambiguity while influencing cross-functional teams. - Customer-Centric Curiosity: Exhibit deep curiosity to understand customers and all elements influencing their experience, offering comprehensive, integrated solutions that address real needs. - Thriving in Ambiguity: Operate effectively in uncertain, fast-changing environments, as often found in startup-like situations. - Balanced Skills vs. Domain Experience: While domain expertise is beneficial, strong intellectual capacity, curiosity, proactiveness, and solid foundational product skills enable quick adaptation even without prior domain exposure. - Strategic & Tactical Agility: Seamlessly switch between defining long-term vision and deep-diving into execution details when required. - IC Excellence: As an individual contributor, comfortably navigate between strategy and execution to deliver impact. - Integrated Experience Design: A track record of designing end-to-end integrated experiences is a strong plus. - Tool Familiarity: Familiarity with tools in the PM space, such as Jira, Figma or generative AI tools, though tool-specific experience is less crucial. - Speed of Innovation: Demonstrates the ability to rapidly prototype, test, and iterate solutions to keep pace with evolving customer needs and emerging technologies. Responsibilities - Define and drive product strategy and own the roadmap for a high priority area of the Coursera platform, such as mobile, AI-powered assessment or agentic enterprise integration. - Translate customer insights and market trends into integrated solutions that can scale to serve millions of learners and customers around the world. - Lead execution from ideation and analysis through development and launch, delivering measurable outcomes. - Partner with Engineering, Design, and Data teams to deliver AI-powered product features and experiences. - Leverage data and customer feedback to inform decisions and continuously improve. - Mentor peers and contribute to building a high-performing product organisation. Qualifications - 8+ years of product management experience, with a meaningful portion in assessment, measurement, or skills validation products. - Experience building, using, or experimenting or shipping AI-powered or LLM-integrated products, including familiarity with LLM-as-judge evaluation methods and their failure modes. - Deep understanding of how skill and competency measurement works — not just completion tracking, but defensible claims of capability. - Demonstrated ability to define rubrics, evaluation frameworks, or structured measurement systems at scale. - Strong external communication skills; able to represent product methodology credibly to enterprise security teams, skeptical customers, and regulatory reviewers. - Proven track record moving quickly in an early-stage or startup-pace environment while maintaining rigor. Nice to haves - Background in or exposure to psychometrics, learning science, industrial-organizational psychology, or talent assessment. - Familiarity with the EU AI Act, particularly high-risk classification implications for AI systems used in employment or skills contexts. - Experience working with SME panels, grader programs, or human-in-the-loop calibration workflows. - Prior work in skills-based hiring platforms or enterprise skills frameworks. - Familiarity with NCME or the broader measurement and assessment professional community. - Experience bridging academic rigor with commercial shipping deadlines. Compensation This role is available in the following US Pay Zones: - US Zone 1: $218,800 – $273,500 USD - US Zone 2: $209,600 – $262,000 USD - US Zone 3: $194,400 – $243,000 USD - US Zone 4: $180,800 – $226,000 USD At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are. Keep Learning If this opportunity interests you, you might like these courses on Coursera: - Learning How To Learn - Gen AI for Product Managers

Role Description We're looking for the first Senior Product Manager to join our team. You'll work directly with our founders, engineering team, business leaders, and consultants to turn Veroa's product vision into products people genuinely want to use. You'll help build the next generation of AI-powered learning and workforce technology, creating products that make learning more personalized, practical, measurable, and integrated into the way people actually work. These products will initially power Veroa's own operations, helping our consultants learn new tools and develop skills while enabling our teams to assess talent, improve delivery quality, streamline workflows, and make smarter workforce decisions. As the platform evolves, these capabilities have the potential to become customer-facing products used by organizations around the world. If you're curious about how people learn and enjoy solving difficult problems, working closely with users and engineers, and building products from the ground up, you'll thrive here. What You'll Do - Translate the founders' product vision into clear roadmaps and priorities. - Lead products from discovery through launch and continuous iteration. - Work with consultants, internal teams, and customers to understand how people learn and work, and turn those insights into product opportunities. - Build AI-powered learning and workforce products that improve skill development, talent assessment, workforce intelligence, hiring, and operations. - Write clear product requirements and partner closely with engineering on technical tradeoffs, feasibility, and sequencing. - Translate complex workflows, data, and AI capabilities into intuitive user experiences. - Define success metrics and use research, analytics, and experimentation to improve product and learning outcomes. - Establish product processes and development rhythms as the company grows. - Use AI throughout your workflow to accelerate research, prototyping, analysis, and product development. Qualifications - 5+ years of Product Management experience building and shipping software products. - Experience building B2B software involving complex workflows, integrations, multiple user types, or data-heavy products. - Strong customer discovery, product thinking, prioritization, execution, and UX judgment. - Excellent written communication and product documentation skills. - Technically fluent and comfortable working closely with engineers on APIs, integrations, data models, architecture, and technical tradeoffs. - Comfortable using data and product analytics to understand user behavior and inform decisions. - Curious about how people learn and adopt new technologies. - Thrive in ambiguity and enjoy building products from zero to one. - Passionate about AI and the future of learning and work. Bonus Points - Experience building AI-powered products, learning platforms, enterprise SaaS, or workforce technology. - Familiarity with LLM APIs, RAG, evaluations, AI agents, and human-in-the-loop workflows. - Experience with SQL and product analytics tools such as Mixpanel, Amplitude, or PostHog. - Experience rapidly prototyping with AI-assisted development tools. - Startup or early-stage company experience. - Daily user of tools like Claude, ChatGPT, Cursor, Codex, or similar AI tools.