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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 1,700 Qontoers serving over 750,000 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. ------------------------------------------------------------------------------------------------------ ➡️ Mission Shape how Qonto communicates with its customers by delivering a continuous, intuitive, and consistent customer experience across every channel and touchpoint, meeting regulatory obligations while turning customer communications into an efficient growth engine. You will report to Jen Christoph and build the orchestration layer behind Qonto’s numerous communication tools, giving every team a single, compliant view of what has been sent and to whom. ➡️ As Product Manager, Client Communication, you will: Greenfield ownership: Build the shared platform—event-driven orchestration, a unified communication log, and preference management- that CRM, Operations, Compliance, and Product teams can rely on. Meaningful, high-stakes impact: Close critical regulatory

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you’ll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitious R&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We en

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you’ll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitious R&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We en

We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions. Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics’ mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving. What you’ll be doing: Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable Guide the adoption of best practices in software engineering Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals Who we are looking for: Demonstrable experience in guiding and mentoring ML engineers Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics Strong understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures, related concepts (e.g., GQA , KV -caching) and best practices - Expertise in distributed training techniques - Familiarity with optimisation strategies for m

We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions. Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics’ mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving. What you’ll be doing: Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable Guide the adoption of best practices in software engineering Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals Who we are looking for: Demonstrable experience in guiding and mentoring ML engineers Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics Strong understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures, related concepts (e.g., GQA , KV -caching) and best practices - Expertise in distributed training techniques - Familiarity with optimisation strategies for m

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. The Agency Support Representative plays a critical role in processing and auditing policy documentation for our Renter’s Insurance Verification Product. This role is responsible for reviewing proof-of-insurance documents provided by residents to ensure they meet the specific minimum coverage requirements of their residential communities. Additionally, the ASR maintains database integrity by processing policy changes, cancellations, and reinstatements in a timely manner. Responsibilities Document Verification & Processing: Review resident-submitted Proof of Insurance (POI) documents (declaration pages, certificates of insurance) against community-specific rules and minimum coverage thresholds. Policy Lifecycle Management: Accurately update resident policy records upon receipt of carrier notifications regarding coverage changes, cancellations, or reinstatements. Standard Operating Procedure (SOP) Compliance: Execute daily operational tasks strictly adhering to established SOPs to ensure da

About the team Would you like to be part of creating a unicorn within a unicorn? Solve some of the biggest challenges facing the financial inclusion of Bharat? Well, then here’s your chance! Financial Services (FS) is one of the fastest growing new businesses at Meesho. It's a large 10X opportunity for Meesho to build financial products for Bharat users and serve the unmet needs of millions of our users. And you will be at the center of this journey, building and scaling the business and serving millions of Meesho users. Meesho FS has several lines of products primarily in lending space for users and sellers of Meesho. We aspire to create one of the country’s largest financial services businesses, drawing inspiration from global giants such as Alibaba, Shopee, and Mercado Libre, who have thrived in markets comparable to India and built large financial businesses. About the Role In this role, you will own the growth and governance of Meesho's Bank and NBFC partnerships across lending. Your first priority will be to scale existing partnerships by improving funnel performance, monitoring portfolio and risk, and deepening partner relationships. You will also lead new-partner integrations end to end, establish standard and increasingly automated operating processes, and build a qualified pipeline of new partners aligned with the supply roadmap. The role requires close collaboration with growth, credit risk, collections, product, technology, legal, compliance, finance, and operations teams to deliver timely launches and stable scale-up. What you will do Own and grow existing Bank and NBFC partnerships by managing joint business plans, supply, funnel performance, and conversion, and by driving initiatives that increase disbursals and assets under management. Build deep relationships and strong governance with partner stakeholders across senior and working teams. Maintain regular engagement, understand strategic, policy, risk, and operational develo

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. Partner with machine learning engineers to bring new classification capabili

About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly, you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-faci

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 Technical Support Engineer (TSE), you’ll play a critical role in supporting our customers by resolving their most complex technical issues and serving as the final technical escalation point for our Technical Support Specialists (TSS). You’ll collaborate closely with our Support and Engineering teams to ensure we deliver a best-in-class customer experience while meeting our service SLAs. Our goal is to provide best-in-class Technical Support to our customers. Our team’s mission: “We make complex solutions seem simple, and are leaders in customer education”. We build strong partnerships with our customers through trust and transparency, for this reason our Technical Support Metrics are available publicly. What you’ll do as a Technical Support Engineer at Vanta: Provide technical support to Vanta customers through email, screen sharing, and chat, responding within established SLAs. Develop a deep understanding of Vanta’s product capabilities, integrations, configurations, messaging, and more. Own and resolve complex technical customers’ issues, while also partnering with Technical Support Specialists (TSS) on their most challenging cases as the final technical escalation point within the Support team. Demonstrate a strong sense of ownership and accountability for the overall customer experience. Clearly explain complex solutions to customers and document them for future use. Problem-solve and troubleshoot in a repeatable manner, documenting in our Support CRM to help identify trends. Create reproducible test cases and collaborate with Product and Engineering to improve the platform. Validate and escalate bugs to Engineering,

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product Marketing team The Product Marketing team brings intellectual curiosity to understanding our customers, our market, and where Affirm can create value. We ask questions, challenge assumptions, and turn what we learn into product recommendations and focused go-to-market strategies. We’re the connective tissue across Product, Analytics, Revenue, and Marketing, building a shared understanding of who we’re serving, what matters to them, and how we’ll drive adoption and growth. We’re also storytellers: we make complex products easy to understand and give merchants and consumers a clear, compelling reason to choose Affirm. About the Role As a Group Product Marketing Manager, you’ll own the strategy and systems that drive product marketing excellence across Affirm’s B2B organization. You’ll synthesize merchant, consumer, market, and performance insights across our portfolio to shape shared strategy, strengthen our merchant narrative, and guide product and go-to-market investments. You’ll establish the frameworks, standards, and operating mechanisms that improve segmentation, go-to-market planning, and measurement across teams. Alongside this portfolio-wide mandate, you’ll directly lead a focused set of critical, ambiguous cross-portfolio opportunities from discovery through commercialization. This senior individual contributor role will create leverage across the broader Product Marketing team, raising the quality, consistency, and impact of our work. What You’ll Do Own and evolve the portfolio narrative: Develop Affirm’s merchant story, messaging architecture, and proof points. Partner with Brand and other Marketing teams to connect it to Affirm’s broader brand story and activate it across priority merchant channels. Connect product and GTM teams: Establish operating rhythms that

About the Company: TaylorMade Golf is a globally recognized leader in high-performance golf equipment and accessories, celebrated for its relentless commitment to innovation and its deep roots in professional golf. TaylorMade Golf has recently been named the Sunday Times Best Places to Work 2026 — a testament to its people-first culture where employees feel genuinely supported, challenged, and empowered to do their best work. Position Summary : The Manager of Asia Region Supply Chain Finance is a key regional finance leader with the scope of Asia - responsible for driving financial strategy, performance management, and operational excellence across the end to end supply chain network in Asia – a scope that is rare and uniquely expansive, offering visibility and influence across one of the world’s most dynamic and complex markets. This role provides financial support to regional procurement, logistics, distribution, supply/demand planning, and broader global supply chain functions, serving as a trusted business partner to senior leaders in Asia and Global Supply Chain. The ideal candidate brings experience in supply chain finance, analytical capabilities, and proven success influencing decisions in a complex global matrix. The role is central to enabling cost optimization, strengthening financial governance, improving forecast accuracy, and ensuring alignment between Asia operations and global financial objectives. The Manager of Asia Region Supply Chain reports into the Director, Global Supply Chain Finance. Essential Functions and Key Responsibilities: Financial Leadership & Business Partnership Serve as the primary finance business partner for Asia supply chain operations, including regional sourcing, logistics, distr

NVIDIA’s EDA Infrastructure organization builds and operates the systems that support chip development. We are looking for an engineering manager to lead the team responsible for operational processes and platforms across incident management, maintenance, on-call, issue management, and customer-serving readiness. You will own the roadmap and delivery, from defining how teams work to building the tools they use. You will partner with infrastructure and service owners to improve reliability, reduce manual work, and ensure services are ready to support customers. Your team will use automation, AI, and lessons from operational events to drive improvements. What you’ll be doing: Lead a team and own the roadmap for operational processes and platforms, from requirements and delivery through adoption and results. Set technical direction, prioritize work, and guide execution across engineering and operational disciplines. Partner with infrastructure, product, and security teams to establish consistent practices for incident response, maintenance, on-call, issue management, and customer-serving readiness. Hire and develop engineers and technical leads, building a team with clear ownership and accountability. Align priorities across teams, communicate progress and risks, and provide technical leadership during major incidents. What we need to see: <span style="co

About the Team Ads and Promotions is one of the core features of the DoorDash business which helps our customers access the most quality and affordable selection for their needs. The Consumer Promotion Experience team plays a crucial role within the DoorDash Ads and Promos organization and is responsible for Marketing capabilities of the platform. Our mission is to empower businesses with marketing tools to connect with their customers efficiently by creating best in class advertising solutions serving Restaurants, Brands and DoorDash internal use cases. About the Role As the Engineering Manager, you will oversee a talented group of engineers, collaborating closely with designers, product managers, and sales partners. Your primary responsibility will be driving the successful execution of our product roadmap, ensuring the timely delivery of high-quality solutions that meet both customer needs and business objectives. You will be a key player in fostering a collaborative and cross-functional work environment, promoting effective communication and synergy amongst team members. This role is ideal for a strategic thinker with strong leadership skills who can balance technical excellence with business priorities. You’re excited about this opportunity because you will… Drive strategic impact across the organization, playing a key role in shaping the direction of our product development and influencing the company's overall success Partner with cross-functional stakeholders to define the roadmap and vision for the team and deliver immense impact Lead an outstanding team by coaching engineers, empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards Inspire the team with your technical vision and create the alignment necessary to execute on it Scale the team by recruiting, retaining, and developing highly talented engineers across different disciplines We're excited about you because you have

About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly, you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-faci