Ai Market And Competitive Intelligence Analyst Jobs

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Leading a team of 6 SDRs, you will be responsible for the French market outbound prospecting strategy. Through the Outbound team, we target French SME prospects in order to engage them in the purchase process of the enterprise expense management solution. This year, the ambition to grow in this market is strong and strategic for Qonto, so your role is essential to the success of our acquisition objectives. You will join our Sales and Key Account Manager teams 🇫🇷 and report to Dorothée, our Sales Director for the French market. 👩‍💻🧑‍💻As a Lead SDR Outbound at Qonto, you will • Coach your team with creative techniques in order to foster teamwork and encourage sales excellence in articulating our value proposition, understanding the market, and being a

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. About the role In the Trade Management team, you will join an international and diverse group of passionate experts. We are transforming the way we approach global logistics by moving from intuition-based decisions to a precision-engineered, data-driven strategy. If you are a technical heavyweight who loves to code and model, but also a leader ready to mentor a high-performing team, this is the role for you. We are seeking a Team Lead for Trade Analytics & Market Intelligence to act as the Ted Lasso of our data analytics team. Reporting directly to the Director of Trade Management, you will own the architectural backbone of our trade management decision-making. This is a hybrid role. You will spend a significant portion of your time hands-on in the code—building complex data models, writing high-performance queries, and designing algorithms. Simultaneously, you will lead and develop a small, agile team consisting of a seasoned Analyst and a Market Intelligence Specialist. You will be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. Key Responsibilities Lead Technical Strategy & Analytics Own the Data Architecture: Architect and maintain the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines. Hands-On Development: personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems. You are the technical escalation point for the team. Forecasting & Modeling: Bu

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Stargate team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The New Geography and International Growth Lead will own the strategy for infrastructure expansion into new geographies, including market assessment, stakeholder engagement, and coordination across energy, policy, commercial, and other infrastructure workstreams. This role identifies and enables priority international growth opportunities while ensuring alignment with regional regulatory, operational, sustainability, and long-term infrastructure objectives. This is an individual contributor lead role and does not have direct reports initially. The role will translate ambiguous market-entry questions into clear recommendations, identify the conditions required for OpenAI to advance in new regions, and coordinate the cross-functional work needed to turn priority geographies into executable infrastructure options. Key Responsibilities Build market-entry frameworks for international infrastructure geographies, including power availability, land readiness, regulatory posture, commercial fit, and execution risk. Assess priority regions and countries against OpenAI’s long-term compute, energy, sustainability, policy, and operational objectives. Coordinate cross-functional geographic diligence with energy, policy, commercial, legal, finance, procurement, engineering, and site-readiness stakeholders. Lead early stakeholder mapping and engagement strategy with utilities, regulators, government entities, developers, capital partners, and other market participants. Translate regional findings into exe

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role Paragraph: Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Market Data Engineer on the Markets team, you'll architect, build and own the systems that generate, capture, normalize, and distribute real-time market data across Coinbase at low latency - the ticker plant and distribution backbone of a unified trading platform - while leading a lean, high-impact team. It's a rare chance to architect market data infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Build and operate market data components: feed handlers, normalization, distribution, and venue connectivity. Design low-latency, high-throughput systems for real-time market data used by trading systems. Contribute to reliability and performance, participating in observability, on-call, and incident response. Write high-quality, well-tested code and help raise the quality bar on a lean team. Partner with engineers, product, and cross-functional stakeholders to deliver market data capabilities. Required skills and experience: 5+ years of backend engineering, with experience building and maintaining production low-latency systems. Hands-on experience with market data syst

Marketing Director- Paytm (Inference and Agentic AI) Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview: Paytm is looking to hire a Marketing Director to own B2B marketing, demand generation, product marketing, and sales enablement for Paytm’s Inference and Agentic AI products. This is a managerial role that will lead a team of marketing managers and drive marketing across enterprise clients and mid market merchants. The role will be responsible for building market presence, qualified pipeline, product launches, agentic marketing initiatives, and sales enablement programs across Paytm AI products including Pi Commerce and future AI agents. The candidate will own positioning, messaging, GTM communication, lead generation, demand generation, account engagement, and customer marketing across digital, offline, and agentic channels. The role requires strong B2B SaaS marketing experience, product marketing judgment, demand generation depth, team leadership, and ability to convert AI product capabilities into clear business value. Key Responsibilities Own end-to-end marketing strategy for Paytm AI products across Enterprise and Mid-Market segments. Drive demand generation through digital campaigns, webinars, events, ABM, content, and partne

About the team Meesho AI Services (MAS) is a new-age AI Services business built to deliver outcomes, not software, for enterprise and mid-market clients. We are in a 0-1 build phase, shaping our go-to-market motion, pricing models, and sales organization from the ground up. The GTM Engineer will be a foundational hire supporting this effort, working closely with the Sales & GTM Leader to build out the top-of-funnel engine. About the role The GTM Engineer will own the technical and execution layer of the sales funnel, from automated lead generation to client-facing demo calls. This role requires someone who can build systems and also get on calls to explain MAS clearly to prospective clients. You will work in an environment without an existing playbook, and will help build one.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We’re looking for an analytical, curious, and impact-driven Principal Sales Operations & Strategy Manager to join our Revenue Operations team. Our departmental mission is to serve as the critical bridge between Product and Sales, ensuring the effective, high-velocity commercial launch of our strategic AI products. This leader will operate as the primary strategic integrator across Product, Engineering, and GTM teams, directly owning the commercial success of our most ambitious new AI products in market. You will be responsible for moving us from fragmented Product / GTM planning to a unified, predictable launch machine, defining the 'Sales Ready' gate, embedding GTM strategy early in the product lifecycle, and translating engineering velocity into comm

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of engineering and GTM, shipping solutions that range from rapid prototypes to production-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs lev

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently. Responsibilities: Help define the roadmap and architecture based on technology and business needs Drive AI innovation for business analytics and operations Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go) AI Experience in Agen

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions is the operator of six bikeshare systems across the country, including Bluebikes , the Boston area’s public bike share system. We’re looking for an Operations Specialist who wants to continue the micromobility revolution. As the Operations Specialist, you will support the General Manager of Bluebikes in developing and executing operational plans with a consistent eye towards service quality, operational excellence, continuous improvement, and the overall customer experience. You’ll roll up your sleeves for some hands-on problem solving, while also tackling big picture projects to improve the Bluebikes system. If you share our vision for active transportation that empowers local communities, reduces our environmental footprint, and brings people together, then we’d love to meet you! Responsibilities: Ensure smooth daily field operations: monitor performance, create/refine playbooks and SOPs, support workforce planning, oversee aspects of contractor relationship management, and perform occasional quality checks in field and depot Conduct deep-dive analysis to identify root causes of issues, using insights from field operations and data to collaborate with teams, implement solutions, and drive performance improvements Own end-to-end processes like invoicing and asset tracking to support the success of the business Audit performance of functional areas against SLAs, proactively identifying and escalating risks and inefficiencies Support the Bluebikes team in maintaining relationships with our city partners and addressing market-specific operational issues or special projects Communicate clearly and confidently with stakeholders, clients, and vendors, tackling challenging conversations when necessary Manage shifting priorities effectively, adapting to dynamic needs w

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions is the operator of six bikeshare systems across the country, including Capital Bikeshare , the DMV’s public bike share system. We’re looking for an Operations Specialist who wants to continue the micromobility revolution. As the Operations Specialist, you will support the General Manager of Capital Bikeshare developing and executing operational plans with a consistent eye towards service quality, operational excellence, continuous improvement, and the overall customer experience. You’ll roll up your sleeves for some hands-on problem solving, while also tackling big picture projects to improve the Capital Bikeshare system. If you share our vision for active transportation that empowers local communities, reduces our environmental footprint, and brings people together, then we’d love to meet you! Responsibilities: Ensure smooth daily field operations: create/refine playbooks and SOPs, oversee aspects of contractor relationship management, and perform occasional quality checks in field and depot Own end-to-end processes like invoicing and asset tracking to support the success of the business Audit performance of functional areas against SLAs, proactively identifying and escalating risks and inefficiencies Support the Capital Bikeshare team in maintaining relationships with our city partners and addressing market-specific operational issues or special projects Conduct deep-dive analysis to identify root causes of issues, using insights from field operations and data to collaborate with teams, implement solutions, and drive performance improvements Communicate clearly and confidently with stakeholders, clients, and vendors, tackling challenging conversations when necessary Manage shifting priorities effectively, adapting to dynamic needs while maintaining a positive,

Junior Fund Accountant – Dublin, Ireland (12‑Month Graduate Opportunity) Start your finance career with a leading global investment bank – via mthree Are you a recent finance or accounting graduate looking to launch your career with a top tier investment bank in Dublin? We’re hiring Junior Fund Accountants for a 12-month placement. This role combines hands-on industry experience with structured training through the mthree Academy, preparing you to excel in global fund accounting and investment operations. What you’ll do As a Junior Fund Accountant, you’ll support the delivery of high-quality accounting services for assigned funds and clients. Your responsibilities will include: Performing cash and asset reconciliations for assigned funds Reconciliating and allocating fund expenses accurately Preparing first draft fund performance reports for client review Contributing to service improvement initiatives, process efficiencies, and control enhancements Supporting senior colleagues on complex accounting items and escalations Answering standard client questions on fund reporting and accounting processes Helping ensure compliance with internal controls and operational standards Working collaboratively to support team and business objectives This role provides deep exposure to fund accounting processes, NAV components, financial reporting cycles, and operational fund controls. Training You Will Receive (mthree Academy) Before joining your client team, you will complete structured training designed to build your expertise across financial markets, accounting fundamentals, and fund operations. Core Curriculum Overview Banking & Market Foundations History and evolution of the global banking system Role of banks in financial markets Basel regulatory framework Regulatory compliance, governance & culture Financial crime compliance Professional skills: networking, communication, remote work readiness Funds Ind