Senior Product Manager, Data Foundry

CUBE

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.    Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Mission This role provides senior expertise in Operational Risk and Risk Controls, applying it through customer data processing and analysis, ensuring data quality, governance, and strategic utilisation. It develops data standards, advises on complex data challenges, utilises and implements AI solutions and supports major customer initiatives within CUBE. The role mentors junior team members and shapes customer data practices. Key Responsibilities * Actively contribute to CUBE’s success by supporting the delivery of the Data & Analytics team’s goals. * Play a leading role in the execution of all aspects of Customer Data Operations on a prioritised basis. Specifically: * Matching of risks and controls * Index build * Index management * Other data expansion * Contribute to the consistent application of CUBE’s Data Technical Standards to core risk and control content and beyond. * Contribute to the ongoing development of CUBE’s business rules which form the basis for CUBE’s index assets. * As someone with subject matter expertise, contribute to data processing exercises on a prioritised basis as required (particularly matching and index building). * Actively seek opportunities to engage with the rest of D&A (and wider CUBE as appropriate) to improve data and processes * Collaborate closely with other members of the D&A team to support cross-team working and understanding. * Actively support the CUBE-wide objective to automate. Collaborating with CUBE’s Product, Engineering, and Data Science teams to facilitate faster and better data processing. * Leadership and mentorship of more junior members of the team, supporting their development in line with business needs.   Skills & Competencies * Data Management & Quality: Oversees enterprise-wide data architecture and governance practices. Ensure consistency, reliability, and traceability in data assets. * Risk & Governance: Acts as subject matter expert on governance, risk, and compliance. Embeds control standards across operational processes. * Tools, Automation & AI: Leads automation and integration initiatives, embedding AI/ML where relevant. Establishes tool standards and governance. * Problem-Solving & Innovation: Champions innovation in automation and process optimization. Promotes continuous improvement and data-driven decision-making. * Communication & Collaboration: Leads cross-functional discussions, influencing key stakeholders through data-driven recommendations. * Operational Execution: Aligns data operations execution with strategic business goals, driving governance and consistency. * Mentoring & Leadership: Mentors team members across teams, developing strong technical and professional capability.   Required Experience & Qualifications * Able to demonstrate a strong knowledge of risks and controls having gained extensive experience in a financial services risk and control front line role (e.g. Business Risk & Control Officer, Supervisor). * Highly knowledgeable on the key risks faced by our clients, e.g. market manipulation, unauthorised trading, resilience. * Deep understanding of NFRM core processes, e.g. RCSA, incident management, read across / lessons learned. * Experienced with internal audit, external audit and ideally regulators – and understanding of areas of regulatory scrutiny targeting governance and controls (e.g. SMCR). * Able to clearly and succinctly articulate and promote CUBE’s risk and control product offering. * Ability to work in a fast-paced Regtech environment producing work to a high standard under time pressure. * A pragmatic self-starter with the ability to work independently and as part of a team. * Strong organisational skills, with impeccable attention to detail and proven ability to manage multiple projects with varying and time-pressured deliverables. * Flexible, supportive, collaborative, contributing positively to our strong team dynamic and culture. * Ability to clearly communicate technical concepts to non-technical stakeholders. * Concise written and verbal communication skills. * Extensive MS Office skills, particularly Excel. * Proficiency in at least one of the following data analysis tools and languages, such as Python, SQL, MS/Azure Foundry and data visualisation tools (e.g., Tableau, Power BI). * Experience mentoring to achieve excellence. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.    About the role:   As Senior Product Manager for the betting cluster of Genius Sports, you will work closely with the VP of Product and delivery teams translating high level roadmaps into work items. Your focus will be consolidating our external and internal tools across many products and verticals into a seamless user experience.   Your responsibilities will cover both the strategic and tactical aspects of Product Management.  The tactical aspects of the role require requirements scoping, definition of epic level acceptance criteria, working with the delivery team during planning phases throughout product delivery.  You will work with the squad leads and architects to ensure all aspects of delivery have been accounted for (this includes operational help, domain knowledge share and go-to-market strategy).   You will work with a committed and collaborative team of developers, QAs, PMs, Squad leads and SME’s who will assist you in achieving shared product goals.   Key Responsibilities:   The What (Strategic)   Ensure your team and stakeholders are fully invested and helping you to shape the product vision, goals and strategy   * Work with the Product VP and other related stakeholders to produce the product vision, roadmap and identify strategic opportunities   * Translating product vision and roadmap into detailed work items in preparation for delivery  * Maintain strong links to key stakeholders across technical, commercial, support, marketing and operations in addition to key customers utilizing KPIs and OKRs for success  * Articulate vision and direction to the development team and stakeholders throughout the development, go-to-market cycle and post launch analysis.   * Keep abreast of developments in the industry and with specific competitors identifying threats and opportunities   The How (Tactical)   * Support the operational running of the product on a day-to-day basis   * Managing the release to customers and go-to market strategy   * Define epics with comprehensive acceptance criteria, interacting with relevant stakeholders and subject matter experts to verify work is correctly specified and relevant assets (wireframes, designs) are included   * Verifying that epics are completed to the expectation set out in the acceptance criteria   * Work closely with Squad Lead to ensure alignment on all team and product matters   * Produce relevant documentation to support product awareness and technical build   Qualifications  * Experienced in Front End product development with a focus on sports betting   * 5+ years’ experience in Product Management roles  * Proven experience in developing a product strategy and effectively managing roadmaps.   * Experience with software product development methodologies, mainly focused on agile methodologies such as Scrum or Kanban.   * Deep experience in gathering and transforming product requirements into a practical product roadmap  * Strong background in BI and/or Analytics required; experience working on data-oriented products preferred   * Outstanding written and oral communication skills   * Passionate about working in the betting industry   * Team leadership   * Highly collaborative nature   What’s in it for you?     As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.         We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.   One team, being brave, driving change    We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.    Let us know when you apply if you need any assistance during the recruiting process due to a disability.

9fin

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. THE OPPORTUNITY   9fin has built one of the most comprehensive datasets in credit and debt markets: news, financials, cap tables, instrument data, legal documents, and ESG analysis. Today, most clients access that data through 9fin.com. But a large and growing segment of the market wants to consume our data programmatically to power firm-level workflows at scale: a negative news signal triggers an automated credit review, updated financials trigger a portfolio rebalance, a covenant keyword triggers a sanctions flag.   These buyers (quant desks, data engineering teams, systematic investors, risk and compliance functions) will never log into a web application. They need APIs, data feeds, and cloud-native delivery through platforms like Snowflake. At comparable financial data providers, this distribution channel represents 20-30% of total revenue. 9fin is at the beginning of this journey.   The challenge is to turn 9fin's integrated dataset into a portfolio of standalone data products with a coherent commercial strategy. You will define how the data gets packaged (what goes together, what stands alone, how it's tiered and priced), the order in which products go to market, and the commercial models that fit each buyer segment: quant desks, data engineering teams, risk and compliance functions, and systematic investors. You will work in lockstep with the Head of Pre-Sales, who owns technical validation and deal execution, to ensure that what you build maps to how these buyers actually evaluate and procure data. The first candidates pan news content, financials and cap tables, instrument data, and legal data (complex, high-value, and genuinely unsolved at the data representation layer).   You will work cross-functionally across our platform teams, analytics engineering, and the domain squads that own the underlying datasets. You will also work closely with Sales to support a fundamentally different GTM motion: solution-selling with partner clients, joint POCs, multi-stakeholder deals, and usage-based commercial models rather than seat-based subscriptions.   This is a 0-to-1 build. If you have built API or data products before and want to do it again in a market where the opportunity is wide open, this is it.     WHAT YOU'LL DO   PRODUCT STRATEGY & EXECUTION * Define the product vision and strategy for 9fin's external data distribution: APIs, data shares, and future delivery mechanisms (cloud sync, pub/sub). * Own the data catalogue decisions: which datasets to expose, in what format, through which channels, and in what order, balancing client demand, data readiness, and commercial potential * Design the developer experience end-to-end: API design, documentation, developer portal, sandbox/playground, error handling, rate limiting, and versioning * Work with analytics engineering and domain teams to define schemas, data models, and transformation logic that make 9fin's data consumable and valuable outside the application * Use a partner model to validate early: select and work closely with 1-2 clients during development to co-develop and prove out each data product before broader launch * Shape the commercial model for API products: packaging, tiering, usage-based pricing, distribution controls, and entitlement structures that capture the value of programmatic data access   DATA QUALITY, INFRASTRUCTURE & COMPLIANCE   * Partner with the Head of Analytics to ensure data products meet the reliability, freshness, and accuracy standards that enterprise clients building automated systems expect * Define SLAs for data delivery (latency, uptime, completeness) and build the monitoring and metering infrastructure to back them up * Own the entitlements and access control layer: ensuring the right clients can access the right data under the right contractual terms, with appropriate usage limits and controls * Work with Legal to define data usage policies, including restrictions on redistribution, AI training and model embedding, and onward use, protecting 9fin's data IP while enabling legitimate client workflows * Establish feedback loops between API consumers and domain teams so that usage patterns and client requests improve the underlying data over time   Cross-Functional Leadership & GTM   * Coordinate across platform engineering, analytics engineering, domain squads, and the Head of Analytics to align priorities and ship a cohesive product without a dedicated squad * Influence teams you do not manage; build relationships that make cross-functional delivery work despite competing priorities * Support the shift to a solution-selling GTM motion: work with Sales and Customer Success on partner selection, POC design, technical onboarding, and commercial structuring for API deals * Engage directly with enterprise clients and their technical teams during pilots and integrations; this is a client-facing role, not a back-office one * Communicate strategy, progress, and trade-offs transparently to leadership, engineering, and commercial teams * Translate technical API and data infrastructure concepts into language that non-technical stakeholders (Sales, Legal, Finance) can act on   WHAT WE'RE LOOKING FOR   * 5+ years of product management experience, with at least 2 years building API products, data platforms, or data distribution products at a B2B company * Experience designing APIs for external consumers: you have opinions on schema design, versioning strategies, rate limiting, and what makes developer documentation actually useful * Track record of shipping data products where you managed the full lifecycle: from defining what data to expose, through schema design, to commercial packaging and client onboarding * Understanding of data infrastructure concepts: data pipelines, warehouses, ETL/ELT, data modelling, and platforms like Snowflake * Comfortable with SQL and Python and capable of interrogating data to validate quality, understand usage patterns, and inform product decisions * Experience working in a solution-selling or partner-led GTM model: you have been involved in POCs, pilots, or co-development with enterprise clients, not just self-serve product launches * Proven ability to lead cross-functionally without a dedicated team: you coordinate across engineering, data, and commercial functions through influence, not authority * Strong commercial instinct: you understand how enterprise data buyers evaluate providers, and you can shape a product that competes on data quality, coverage, and ease of integration * Clear communicator who can translate between technical and commercial audiences   NICE TO HAVE * Familiarity with credit markets, debt instruments, or how buy-side/sell-side firms consume financial data * Experience with Snowflake data sharing, marketplace listings, or similar cloud data distribution mechanisms * Experience building entitlements, licensing, or access control systems for data products * Understanding of data licensing, redistribution terms, or AI usage policies in the context of enterprise data products   BENEFITS   * Competitive, market-benchmarked salary * Pension with 7% company matching * Private medical insurance, paid sick leave, income protection, group life assurance * Season ticket and cycle-to-work schemes * Hybrid flexibility with up to 3 months annual work abroad * 25 holiday days plus local public holidays (exchangeable) * One-month paid sabbatical after 5 years; enhanced parental leave * Professional development budget and regular social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.