Senior Industry Manager Jobs

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The behavior team at Nuro develops the Nuro Driver’s prediction and planning systems to enable safe, driverless autonomy. We are looking for strong software engineers to research, develop, and implement technologies for Nuro’s planning stack to empower all rides on all roads. This encompasses building a generalizable and scalable ML planner that can power L4 driving for robotaxi applications as well as serve as an L2 solution for the largest auto manufacturers in the world. Operating domains of the Nuro Driver™ vary from structured surface streets and highways to more unstructured areas such as parking lot driving, parking and multi-point turns in busy traffic situations. You’ll be developing state-of-the-art algorithms to enable the Nuro Driver to safely and reliably plan and navigate complex situations in a human-like manner. You will work on intelligent strategies on how to leverage diverse data to have the biggest impa

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Responsibilities Identify, design, and develop foundational backend services that power Together’s cloud platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excel

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment. If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you. About Blenheim Chalcot: Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The Role: As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on. Key Responsibilities: Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include. Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effect

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Senior Software Engineer focusing on AI Compute in the Together Cloud org, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. The hard problems in rapidly scaling heterogeneous GPU fleets are software problems: fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes. We solve them by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You'll own massive greenfield projects across their full lifecycle – scoping the problem and writing PRDs with our PMs, designing the system, and building it through to GA launch. Responsibilities Build the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-perform

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. ------------------------------------------------------------------------------------------------------ Join us as a Senior Fraud Analyst to protect our customers by detecting and preventing various types of fraud. You will be part of our newly created specialized Fraud team, focusing on safeguarding Qonto's French market customers from scams and fraudulent activities. You will report to Anamaria, our Senior Team Lead Fraud ➡️ What you'll do Transaction monitoring: Monitor and analyze transactions to detect fraud patterns, focusing on scams, phishing attempts, and account takeover activities Risk assessment: Conduct risk assessments for new products and features while ensuring robust onboarding fraud prevention with limited need for oversight Investigation and prevention: Independently investigate complex fraud cases and implement preventive measures across fin

P-1415 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of the not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed). The responsibilities you will have : Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: BS in Computer Science or equivalent practical experience in databases or distributed systems Comfortable working towards a multi-year vision with incremental deliverables Motivated by delivering customer value and impact 5+ years of production level experience in either Java, Scala or C++ Solid foundation in algorithms and data structures and their real-world use cases Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop) About Databricks Databricks is the Data and A

P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1415 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. Develop product features that empower our customers to easily store and access their data. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language Experience developing large-scale distributed systems Experience working on a SaaS platform or with Service-Oriented Architectures Knowledge of SQL About Databricks Databricks is the D

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Frontend engineers at Appier focus on handcrafting sophisticated web UIs and ad content using cutting-edge front-end development technologies and tools. We collaborate closely with designers and backend engineers to deliver high-quality, smooth, and elegant web applications for the advertising domain as well as support daily operations within Appier. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Responsibilities Design and develop reusable advertising UI components (e.g., banners, video ads) and supporting systems using modern JavaScript frameworks and AI-powered tools. Build and maintain a modular JavaScript library or SDK to ensure scalable, consistent, and easily integrated ad rendering and tracking. Optimize ad content performance through efficient loading strategies and responsive design. Develop integrations with external SSP platforms, ensuring compliance with technical standards. Implement and manage analytics tools to monitor user interaction and ad effectiveness, delivering actionable insights. Participate in brainstorming sessions, contributing innovative technical solutions across UI/UX, algorithms, and product development. Utilize AI-powered development tools (e.g., GitHub Copilot, Tabnine, Cursor) to enhance coding efficiency and maintain code quality. About you [Minimum qualifications] Solid understanding of HTML, CSS, JavaScript, TypeScript, DOM, HTTP and web standards. Knowledge of modern front-end frameworks like React, Vue, Svelte.

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role We are looking for a Machine Learning Scientist (LLM & Agents) to join the Enterprise Solution Science Team. This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will own agent features end to end — from problem definition and design, to shipping, to measuring and improving quality in production. What You’ll Work On You will contribute to the design, development, and productionization of one or more enterprise AI agents, including: Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth. Strategy Agent: Transform raw data into actionable, revenue-driving strategies and high-potential audience segments. Data Analysis Agent: Answer business questions by planning multi-step analyses and running SQL over large customer datasets, with every number traceable to the query that produced it. Sales and Service Agent: Drive sales conversion, increase average order value (AOV), and deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support. Build agent capabilities as reusable skills and MCP tools, and design tool interfaces that agents use correctly and efficiently Bring predictive models (e.g. propensity, churn, recommendation) into agent workflows and next-best-action suggestions Build evaluation — test sets, LLM-as-a-judge, production trace review — and use it to decide what ships Make agents faster and cheaper without losing answer quality, through c

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role The Device Experience team at HP IQ builds intelligent Windows applications that help people work more naturally with their PCs. We are looking for a senior engineer who enjoys creating thoughtful, visually compelling software. You will work closely with design and product to turn ambitious ideas into responsive interfaces, clear interaction flows, and dependable application behavior. Our work spans custom UI, animation, reusable controls, asynchronous workflows, and integration with local AI and system services. You will help deliver new experiences while improving the architecture of an existing application. AI coding assistants are an important part of how we work. We value engineers who use them effectively to investigate, prototype, implement, and test, and who take responsibility for the resulting code and user experience. Our primary stack is C#, .NET, and WPF, with WebView-based content and Windows platform integrations. What You Will Do Help shape features from the initial user problem through implementation and release. Turn designs and incomplete requirements

As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty. This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space. In this role, you will: Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models Document experimental outcomes and drive towards deploying these models into Zoox robots Visualize your data at the input and output to understand the issues Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases Qualifications MS/PhD in Computer Science or related field Experience with PyTorch or related ML frameworks Experience deploying learned models into production Excellent collaboration and teamwork skills with proven track record of working on large-scale problems Bonus Qualifications Prior experience in the AV or related space with joint detection and tracking models Deep understanding of how to setup end-to-end training and evaluation processes About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting a

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Finance Team supports and empowers Palantirians through both day-to-day operations and a solution oriented approach to problem solving. As a member of the Revenue Team you will be responsible for analysing and reviewing complex revenue transactions as well as continually refining our revenue recognition policies. You will be responsible for all aspects of the quote-to-cash cycle related to your customer portfolio by working closely with Deal and Finance teams to ensure the accounting and operational aspects of your deals progress efficiently and accurately. You are a key player in the global revenue close process. You are a team player who is eager to learn and improve with a strong attention to detail. The position also requires strong operational, organisational, and communication skills. Core Responsibilities Execute the revenue recognition process from the contract closeout phase to financial statement disclosure Drive revenue and cost of revenue month-end close process by creating and validating accruals, preparing journal entries and account reconciliations, ensuring policy compliance and developing standard reports Exercise judgment while ensuring that accounting conclusions are documented in technical memos in accordance with policies and current software revenue recognition rules Work actively with internal and external auditors to ensure audits are completed efficiently and effectively Identify, champion, and implement continuous improvement initiatives related to revenue processes, including systems, reporting, analysis Partnering with Finance and Sales leadership on revenue forecasting proc

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Finance Team supports and empowers Palantirians through both day-to-day operations and a solution oriented approach to problem solving. As a member of the Revenue Team you will be responsible for analyzing and reviewing complex revenue transactions as well as continually refining our revenue recognition policies. You will be responsible for all aspects of the quote-to-cash cycle related to your customer portfolio by working closely with Deal and Finance teams to ensure the accounting and operational aspects of your deals progress efficiently and accurately. You are a key player in the global revenue close process. You are a team player who is eager to learn and improve with a strong attention to detail. The position also requires strong operational, organizational, and communication skills. Core Responsibilities Execute the revenue recognition process from the contract closeout phase to financial statement disclosure Drive revenue and cost of revenue month-end close process by creating and validating accruals, preparing journal entries and account reconciliations, ensuring policy compliance and developing standard reports Exercise judgment while ensuring that accounting conclusions are documented in technical memos in accordance with policies and current software revenue recognition rules Work actively with internal and external auditors to ensure audits are completed efficiently and effectively Identify, champion, and implement continuous improvement initiatives related to revenue processes, including systems, reporting, analysis Partnering with Finance and Sales leadership on revenue forecasting proce

Vise is hiring a Senior Client Success Associate to join our Account Management Team. You'll be a go-to resource for our financial advisor clients and a key part of Vise's operational core — working directly with custodians and acting as the liaison between clients and our Engagement Managers, Trading, and Investment Strategy teams to keep account onboarding, implementation, and day-to-day execution running smoothly. In this role, you'll learn our platform and internal systems inside out, monitor and handle client account activity, support trading operations, and maintain data accuracy across multiple tools. It's a strong fit for someone who thrives in a fast-paced environment, takes pride in operational excellence, and is eager to grow in fintech and investment management. This role is onsite in our SoHo, NYC office. What You Bring On Day One Minimum of 3-5 years of client operations-related role in wealth management, investment management, or a related financial services environment Strong attention to detail with the ability to stay organized and prioritize in a fast-moving setting Clear and confident communicator with excellent verbal and written communication skills both inside the organization, as well as externally with clients and other third parties Intellectually curious, independently resourceful, and thrives in a goal-oriented environment Quick learner who can adapt to new tools, processes, and product updates with ease Team-focused mindset, eager to collaborate and take initiative with others to resolve problems Experience with custodian platforms (such as Charles Schwab and Fidelity) is preferred Comfortable working with programming languages and interfaces (such as SQL, Retool, and Snowflake) is a plus A no task too small mindset What You Will Own Support Engagement Managers and the Trading team in delivering a high-touch client experience by addressing inquiries related to trading, portfolio management, and onboarding Manage the end-to-end portfolio