Senior AI Product Manager

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. PURPOSE: This role owns product strategy and execution for CUBE’s RegPlatform and PoweredBy Apps portfolio — Modular Apps, Agentic Apps, the MicroApps platform, and the CUBE App Store — the application surfaces through which enterprise clients and partners experience CUBE’s regulatory intelligence within the systems and workflows they already use. We are looking for a full-stack product builder — someone who obsesses over customer problems, drives discovery deeply, sets strategy, and ships. The role leads the Apps squad, owns the 0–1 rollout of CUBE’s MicroApps architecture, and brings agentic AI applications to market in partnership with CUBE’s agentic AI product team. It acts as the primary product voice for the Apps portfolio, engaging directly with enterprise clients and partners and contributing to commercial success and retention across both motions. KEY RESPONSIBILITIES: * Own product strategy and roadmap for CUBE’s RegPlatform and PoweredBy Apps portfolio, translating business priorities into quarterly delivery plans that serve both direct enterprise and partner-channel motions. * Lead deep customer and partner discovery to identify the most valuable problems to solve, validate solution direction, and ensure every meaningful product decision is grounded in evidence. * Lead the 0–1 rollout of CUBE’s MicroApps architecture, partnering with engineering and design to establish the foundational application capability that unlocks downstream use cases, agentic applications, and native integrations at pace. * Bring agentic AI applications to market, productising capabilities from CUBE’s agentic AI product team into application experiences that deliver measurable value to enterprise clients and partners, and set the bar for AI-powered regulatory workflows. * Deliver native lighthouse integrations into the collaboration and productivity platforms enterprise users and partners already operate in, bringing CUBE’s regulatory intelligence into the surfaces where regulatory work actually happens. * Establish and grow the CUBE App Store as a coherent, navigable surface that exposes the breadth of the Apps portfolio to enterprise customers and partners. * Drive user experience excellence across the Apps portfolio, ensuring application design meets platform standards and delivers intuitive workflows for regulatory professionals. * Partner with engineering squads to define requirements, prioritise backlogs, and ensure timely delivery of application capabilities that meet quality and performance standards. * Engage directly with enterprise clients (Tier 1 financial institutions) and partners to understand application usage, gather requirements, and validate product direction through discovery workshops and feedback sessions. * Conduct competitive analysis on enterprise application design, agentic AI experiences, app marketplaces, and collaboration-embedded regulatory tooling, contributing market intelligence to inform platform differentiation and feature prioritisation. * Own product analytics for the Apps portfolio, defining and tracking adoption, engagement, and workflow effectiveness metrics that demonstrate value across both motions. * Collaborate across product and engineering teams to ensure consistency, shared component reuse, and a cohesive CUBE experience across application surfaces. * Support commercial activities by contributing to client and partner demonstrations, value propositions, and go-to-market materials for the Apps portfolio. * Leverage AI tools to accelerate product delivery and documentation, contributing to the team’s AI-enhanced working practices and bringing demonstrable judgement on how agentic experiences should be designed, evaluated, and brought to market. SKILLS & COMPETENCIES: * End-to-End Product Ownership: A full-stack product builder — owns the whole product arc from discovery and strategy through to delivery, launch, analytics, and iteration. Not a delivery-only or feature-only PM. * Customer Discovery: Obsesses over customer problems. Demonstrably skilled in problem discovery, user interviews, jobs-to-be-done thinking, and translating ambiguous customer pain into clear product opportunities. Discovery is treated as a continuous practice, not a kick-off phase. * Domain Expertise: Develops deep knowledge of enterprise application design, microapp / micro-frontend architectures, agentic application patterns, app store dynamics, and the collaboration ecosystems in which enterprise users and partners operate. Becomes a subject matter expert for the Apps portfolio. * Agentic AI Product Building: Strong understanding of LLM and agentic AI capabilities applied to enterprise software. Brings substantive judgement on how agentic experiences should be scoped, designed, evaluated, productised, and brought to market — including the gap between AI capability and production readiness. * Strategic Execution: Translates platform strategy into detailed roadmaps and delivery plans. Balances 0–1 foundational build (MicroApps architecture) with shipping concrete application lighthouses that prove the architecture in market. * Requirements & Delivery: Defines clear product requirements, manages backlogs effectively, and ensures consistent delivery quality aligned with platform standards. * Data & Analytics: Defines and tracks product metrics, analyses usage patterns, and uses data to inform prioritisation and demonstrate product value across both motions. * Market & Competitive Awareness: Monitors the enterprise application, agentic AI, app marketplace, and collaboration-platform landscape, identifies market trends, and contributes intelligence to platform differentiation strategy. * Stakeholder Management: Builds effective relationships with engineering, design, and commercial stakeholders. Engages confidently with enterprise clients and partners, including in agentic AI discovery contexts. * AI-Augmented Working: Proficient with AI tools for productivity and delivery acceleration, using them strategically to compress cycle times and raise output quality. REQUIRED EXPERIENCE & QUALIFICATIONS: * Multiple years of product management experience in enterprise software, B2B SaaS, or platform applications. * Demonstrable track record as a full-stack product builder — owning the whole arc from discovery through to delivery and outcomes, not just one phase. * Strong customer discovery skills with concrete examples of finding meaningful customer problems and translating them into shipped products. * Hands-on experience building and shipping agentic AI products in an enterprise context — not just adjacent to AI features, but accountable for them: scoping, evaluating, productising, and taking them to market. * Experience shipping application products built on micro-frontend or modular application architectures, or a demonstrable track record of leading a 0–1 foundational application capability. * Experience with GRC platforms, regulatory technology, or financial services software preferred. * Proven track record of shipping application features that drive user adoption and measurable business outcomes. * Experience working directly with enterprise clients and partners, including discovery sessions and feedback workshops. * Strong analytical skills with experience defining and tracking product metrics. * Demonstrated proficiency with AI productivity tools for product management workflows. 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.

Elliptic

Do you want to build the AI systems that compliance teams rely on to investigate real financial crime? Are you excited about taking agentic workflows from prototype to production at scale? Do you want your work to directly help catch bad actors moving money across blockchains? Elliptic is hiring a Senior AI Engineer to join our AI team. It is the team behind Elliptic's copilot, the AI product that helps compliance investigators trace fund flows, surface patterns, and respond to risk in real time. This role sits at the centre of that work, designing the agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers. You'll join a focused team that cares about the quality of what it builds and gives you the space to do your best work. There's real ownership here, breadth across AI and backend systems, and the freedom to turn good ideas into shipped products. The problems are technically challenging, and the work is visible. The impact you will have: As a Senior AI Engineer on the AI team, you'll own significant parts of the Agentic stack that power Elliptic's copilot. You'll lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product, and you'll mentor more junior engineers as the team grows. What you will do: * Design and build agentic workflows and AI-powered features that power Elliptic's copilot, using LLM frameworks such as LangChain or LangGraph. * Lead the design of agents, tool integrations, and retrieval pipelines that turn complex blockchain data into useful answers for investigators. * Build and own evaluation frameworks that measure and improve the quality, reliability, and latency of LLM outputs. * Design and build the backend services, APIs, and event-driven systems that support these features, using TypeScript and Node.js. * Drive technical design reviews and architecture decisions for AI workstreams. * Mentor and coach more junior engineers through pair programming, code review, and design feedback. * Raise the engineering bar across the team by promoting good practices in testing, observability, and AI system reliability. * Influence cross-team decisions on how AI capabilities integrate with the rest of the Elliptic platform. What you will achieve in the first 6 months: * Owned and shipped at least one significant AI capability end-to-end, from ambiguous problem statement through to production. * Driven the technical direction of an AI workstream, including architecture, evaluation, and rollout. * Established or improved at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety). * Mentored junior engineers on AI engineering practices and contributed to their growth. * Built strong working relationships across product, web engineering, data engineering, and DevOps. * Started to influence adjacent teams on how Elliptic builds with AI. You will be a great fit here if you: * Care about building AI systems that work reliably in production, not just demos. * Have strong instincts for trade-offs specific to LLM systems: cost vs latency vs quality, deterministic vs probabilistic behaviour, when to use an agent vs a workflow. * Can take ambiguous AI problems and break them into shippable pieces with clear evaluation criteria. * Communicate clearly with non-engineers (product, stakeholders, leadership) about AI capabilities and limitations. * Have coached or mentored other engineers and enjoy raising the bar through reviews, pairing, and feedback. * Are genuinely curious about the domain and find blockchain investigations and financial crime prevention interesting. Our ideal candidate has: * 5-8+ years of software engineering experience, with at least 1-2 years of meaningful production work building LLM-powered features. * Direct experience with LLM frameworks such as LangChain, LangGraph, or similar. * Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns. * Practical understanding of prompt engineering, structured outputs, context management, and managing the trade-offs of working with LLMs. * Experience building and running evaluations for LLM outputs (eval sets, LLM-as-judge, regression testing). * Strong backend skills in TypeScript / Node.js, with solid API design. * Cloud experience (AWS: Lambda, ECS, S3, or similar). * Database proficiency across SQL (Postgres) and some NoSQL exposure. * Demonstrated ability to mentor and coach other engineers. * Uses AI coding assistants (Copilot, Cursor, Claude, etc.) critically and effectively as part of their day-to-day workflow. Bonus points for: * Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar). * Experience designing multi-agent systems and agent orchestration patterns. * Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar). * Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning. * Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling. * Experience with observability platforms like Datadog. * Distributed or event-driven architectures (SNS, SQS). * Interest in cryptocurrency, blockchain, or compliance. JOB BENEFITS > How we work: * Hybrid working and the option to work from almost anywhere for up to 90 days per year * £500 Remote working budget to set up your home office space > Learning & Development: * $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development > Vacation/ Leave: * Holidays: 25 days of annual leave + bank holidays * An extra day for your birthday * Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. > Benefits: * Private Health Insurance - we use Vitality! * Full access to Spill Mental Health Support * Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries * Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE ROLE The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services. In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you. AS A STAFF APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: * Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on development, launch, and the analysis of metrics to ensure a successful impact. * Lead from the Front: Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data scientists, and solution architects. You will drive execution, partner with design, marketing, and sales to bring products to market, and act as the evangelist for your product vision. * Be the Voice of the Customer: Act as the critical bridge between customer objectives and our technical capabilities. You will engage deeply with users and executives to gather insights, validate hypotheses, and ensure the solutions you build solve their most pressing, high-value problems. * Commercialize Innovation: Masterfully distill insights from bespoke customer solutions into a strategic vision for scalable, repeatable products. You will own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features. * Shape Business Strategy: Work shoulder-to-shoulder with leadership at both Snowflake and our customer organizations to define product strategy and execute on high-stakes business goals. OUR IDEAL STAFF PRODUCT MANAGER WILL HAVE: * A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus. * 8+ years of experience in product management, with a proven track record of shipping successful enterprise software or cloud services. * Deep technical fluency to confidently lead architectural discussions with senior engineers and have hands-on experience with data science workflows and modern AI paradigms (e.g., LLMs, vector databases, agentic workflows). * Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap. * Strong customer empathy and experience working directly with enterprise customers to understand their needs and challenges. * Exceptional executive presence and communication skills. You can command a room of C-level stakeholders and inspire a team around a shared vision. * A "get it done" attitude with a passion for building exceptional products. Bonus Points (Nice to Haves): * Experience building and launching products for developers or data scientists. * Familiarity with the Snowflake platform and Data Cloud ecosystem. * Management consulting experience. * Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity and driving focus. * Experience in a role that directly supported a professional services or forward-deployed engineering team. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com