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. The Cortex CoWork team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest enterprises interact with their data through flagship products like Snowflake (CoWork) Intelligence . As a Principal AI Engineer , you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500. What you will do in this role: Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines. Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure. You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas. Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You will bridge the gap between Research (modeling) and Product
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Customer Engineering organization serves as the primary technical interface for our global customers and helps ensure that Micron solutions are seamlessly integrated into next-generation technology platforms. Our team coordinates deep engineering engagements, technical product qualifications, and architecture reviews to secure design wins and grow market share. We are dedicated to providing world-class technical support that accelerates revenue and builds long-term strategic partnerships with our customers. Role Description: The Technical Sales Development Representative (TSDR) plays a vital role in achieving the technical achievements needed to launch products. You will be an important member of our field engineering team. In this position, you will oversee many end-to-end technical tasks, including sophisticated product sample deployments, lifecycle management, addressing technical questions, and other customer interactions. You should adopt an "automation-first" approach to actively find ways to improve processes and apply AI-based workflows in daily operations when possible. This role can lead to a full-time FAE career for individuals who achieve the right results. It also requires demonstrating the right skills and behaviors. Example Responsibilities: Coordinate the entire process of technical product samples, beginning with configuration and continuing through international shipment tracking to final customer validation Coordinate and track technical product processes acros
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Startups, Core Grower team is a consultative sales team that is responsible for the growth and retention of the largest and fastest-growing Startup customers at Stripe. As an Account Executive, you'll identify new opportunities for our clients to get the most out of Stripe by understanding our clients' needs, execute scaled sales strategies to close upsells and renewals with existing Stripe customers, and drive end-to-end campaigns to increase adoption of Stripe products. What you'll do Responsibilities Own contract renewals and lead commercial negotiations to increase and retain existing customer revenue and Stripe market share Develop and implement full sales cycle strategies for driving product adoption, net new product sales, and client retention at scale among existing Stripe customers Solve complex client needs and work across product, sales, risk, and operations teams to improve our product Own the full sales cycle from lead to close for startups and small and medium businesses Generate your own leads through cold calling, blitzing, research, networking, and driving your territory Make every potential Stripe user happy with every interaction, regardless of deal size Identify and understand users' pain points to propose Stripe solutions Make sure that internal teams are set up for users' success by coordinating with other Stripe teams Who you are We're looking for someone who meets the minimum requirements to be considered for the
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The SMB sales team is a core part of Plaid’s mission to unlock financial freedom for everyone. We believe that by empowering small and medium-sized businesses, we contribute directly to creating a more inclusive and accessible financial ecosystem. Our team is dedicated to building meaningful relationships with our clients, providing innovative solutions that drive growth, and ensuring that Plaid's products enable businesses to thrive. We work collaboratively across teams to meet ambitious revenue goals, all while fostering a culture of continuous learning and development to align with Plaid's vision of financial accessibility and empowerment. As a Sales Manager, you will lead a team of Account Executives, driving them toward achieving ambitious revenue targets. You will focus on developing talent within your team, fostering a high-performance culture, and ensuring each team member has the resources they need to succeed. You will leverage your deep understanding of transactional and strategic sales cycles to guide your team through new customer acquisitions and account management in a hyper-growth environment. Responsibilities Lead, coach, and develop a team of SMB Account Executiv
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The SMB sales team is a core part of Plaid’s mission to unlock financial freedom for everyone. We believe that by empowering small and medium-sized businesses, we contribute directly to creating a more inclusive and accessible financial ecosystem. Our team is dedicated to building meaningful relationships with our clients, providing innovative solutions that drive growth, and ensuring that Plaid's products enable businesses to thrive. We work collaboratively across teams to meet ambitious revenue goals, all while fostering a culture of continuous learning and development to align with Plaid's vision of financial accessibility and empowerment. As a Sales Manager, you will lead a team of Account Executives, driving them toward achieving ambitious revenue targets. You will focus on developing talent within your team, fostering a high-performance culture, and ensuring each team member has the resources they need to succeed. You will leverage your deep understanding of transactional and strategic sales cycles to guide your team through new customer acquisitions and account management in a hyper-growth environment. Responsibilities Lead, coach, and develop a team of SMB Account Executiv
Fin , now part of Salesforce, is 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, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who
Fin , now part of Salesforce, is 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, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team Plaid’s Fintech Sales team is responsible for our relationships with some of the most important and fastest-growing companies in financial services. Many of these companies have long-standing relationships with Plaid, and this team’s mandate is to deepen those partnerships — expanding product adoption, enabling customer growth, and ensuring Plaid remains the infrastructure provider of choice as these customers scale. About the Role You will lead an established, high-performing team of Territory Account Executives who manage Plaid’s fast-growing fintech accounts. This is not a greenfield build — it’s a team with real momentum, strong customer relationships, and meaningful revenue. The opportunity is to raise the bar further: strengthen Plaid’s market-leading position in fintech by driving deeper product adoption across existing accounts, winning strategic new logos, and developing the AEs on your team into consistently elite performers. The primary motion is new logo acquisition. The majority of your AEs’ accounts don’t yet use Plaid — the job is to secure those new logos and grow existing relationships through new products, new use cases, and new business units. You
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building the next generation of AI and RISC-V compute. As a Sr. Staff NPI Global Supply Planner, you will own end-to-end demand, materials, and production planning across our AI hardware product lines, including Blackhole, Galaxy, and future platforms. You will translate engineering release schedules, BOM structures, and production forecasts into executable supply and capacity plans with our contract manufacturers, while keeping planning data accurate and reliable across ERP and PLM systems. This role is hybrid, based out of Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A strategic, detail-oriented supply chain planner who can turn engineering and program ambiguity into clear, executable plans. Experienced in NPI planning within semiconductor, AI hardware, or high-tech manufacturing environments. Comfortable working across BOM structures, engineering change processes, ERP and PLM systems, and system-of-record data. A clear, collaborative communicator who can align engineering, operations, planning teams, and contract manufacturers. What We Need Lead end-to-end materials and production planning across NPI r
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion. We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science. Responsibilities: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
Role Description At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire. In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions. Responsibilities Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. Create clarity from ambiguity, bringing structure to complex data and stakeholder narratives to identify the underlying question, establish analytical rigor, and drive actionable conclusions. Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions. Answer complex business questions through independent investigation and data forensics,
Role Description At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire. In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions. Responsibilities Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. Create clarity from ambiguity, bringing structure to complex data and stakeholder narratives to identify the underlying question, establish analytical rigor, and drive actionable conclusions. Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions. Answer complex business questions through independent investigation and data forensics,
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building a scaled Private Equity channel that makes Ramp the trusted financial-operations partner for PE firms and their portfolio companies. The Manager, Channel Partner Management — Private Equity will lead an established five-person team of Channel Partner Managers and raise the quality, rigor, and efficiency of an existing motion. The team includes one Upmarket PE CPM, focused on the most strategic and complex sponsor relationships, and four Core / Downmarket PE CPMs, focused on scaled coverage, activation, and portfolio-company pipeline generation. This leader is not being hired to redesign the team or recategorize the program. They will make the current team more effective: clarifying expectations, improving performance, and ensuring each CPM has the tools, coaching, and cross-functional support to execute at a high level. This is a people-leadership and operating-excellence role—not a player-coach role defined by personally owning every senior relationship or stepping into every deal. The manager will diagnose performan
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Risk Operations Technology Enablement team sits within the Risk Operations org and is responsible for partnering across Risk teams to shape the technical infrastructure that enables us to scale our Risk operations and achieve our dual goals of preventing bad actors from exploiting Stripe’s systems and delivering an exceptional user experience for legitimate users. More specifically, our team partners with Risk product and engineering teams to identify, scope, prioritize, pilot, and roll out technical infrastructure and tooling improvements to protect Stripe and serve our users. From the application of AI to our reviews, to agent diagnostic and resolution tools, to review and support case routing, to our user-facing risk support surfaces, our team’s mandate is expansive and a major lever in both protecting Stripe and its users from risk as well as improving the user experience. What you’ll do You’ll lead and develop a high-performing team of Engineering Program Managers who deliver technical programs with step-change impact for Stripe. You’ll build strong partnerships and operating mechanisms with Risk Engineering and Product, co-develop the strategy for Risk’s technical infrastructure grounded in a deep understanding of the Risk technology stack, and own mission-critical technical processes (e.g., Risk Ops tooling-stack prioritization). Responsibilities Shape and drive alignment on Risk Operations’ technical strategy that enables us
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. We are hiring a Staff Research Scientist, Physical AI for our AI Research team . You will build the next-generation training and learning platform for physical AI: models that perceive, reason about, and act within structured environments . This is a greenfield (0 to 1) effort at the intersection of representation learning, world models, and policy optimization. You will help define its technical direction from day one. AS A STAFF RESEARCH SCIENTIST YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures) Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families) Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy learning Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora) Develop multimodal generative model capabilities that fuse visual, language, and structured inputs for downstream reasoning and decision-making Lead cross-team technical de
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