New Store Opening in United States

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiari

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary and LLM Engine Advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. In this role you will:

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. What You'll Work On: Detection Engineering Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents Improve visibility across cloud infrastruc

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. What you'll do: We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustnes

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re looking for an Enterprise Account Executive to help build and scale Baseten’s Enterprise go-to-market motion. You’ll own new business in verticals where AI adoption is accelerating including enterprise software, financial services, and big tech. This is a high-autonomy role where you’ll contribute directly to our Enterprise GTM strategy—identifying new use cases within your verticals, winning lighthouse customers that become references for their industries, and feeding signal back to product and engineering to shape our roadmap. You’ll work alongside Baseten’s founders, forward-deployed engineering team, and GTM leadership. WHAT YOU’LL DO Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals Drive new logo acquisition and strategic expansion within key accounts, prioritizing organizations that can serve as lighthouse customers within their industries Become a trusted advisor to customers—understand their unique infrastructure needs, co-innovate on solutions, and lead with conviction by providing clear recommendations grounded in deep industry expertise Partner with Baseten’s forward-deployed engineers to run technical evaluations, POCs, and architecture reviews that earn customer confidence Collaborate cross-functionally with Product, Engineering, Legal, and Marketing to bring new solutions to marke

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Most people think AI is coming for their job. We think it's coming for the boring parts of it. Our social media team acts as an owned media arm for Synthesia. We’re looking to add an experienced video editor to help us stand out in the feed. We need someone with taste and isn’t afraid to break the B2B format. You will work alongside a talented social team creating social first videos for LinkedIn, TikTok, Instagram, YouTube Shorts, and beyond. You’ll play a key role in shaping how Synthesia shows up on social, from skits, product drops, and launch teasers to everyday social media campaigns. Location: New York or London Hybrid (3 days in office) Why Synthesia Imagine joining Airbnb, Stripe, or Figma when they had product-market fit, but the world hadn't completely realized it yet. That's where Synthesia is today. We hire the smartest, kindest, and most unrelenting people and let them do their best work, without distractions. Learn more about our culture and principles here . Must-Have Skills & Experience Video editing portfolio that stands out. You understand formats but you bring your own taste while working within and around our brand guidelines. Can shoot. Pick up a camera and capture with a

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role Synthesia is seeking an Enterprise Account Executive to join us in the US. Reporting to one of our regional Head of Enterprise Sales, you will be tasked with generating, establishing and closing opportunities within your designated accounts in our Enterprise segment, which is between 1000 and 10,000 employees. Central to this role is the ability to effectively communicate value, inspire prospects, and successfully sell the value of the Synthesia solution. We have ambitious revenue goals this year, and you will play a huge role in how the Enterprise team contributes to this. We are ideally looking for folks based in NYC, Texas or Denver (where our regional heads are); however, we are open to applications from candidates in the East or Central time zones. We’re going through an exciting stage of our growth under the new leadership of our CRO. We aspire to create a world-class sales organisation where the most talented, relentless salespeople can thrive. If you’re someone excited by making an impact and hungry for opportunity, then we’d love to hear from you. What you’ll be doing… Running a full sales cycle within our Enterprise customers from cold outreach to close. With full ownership of your pipel

Entry-level Manufacturing Engineer (Latham, NY) — Latham, New York, United States. Apply via Workday.

Assembler 1 (Latham, NY) — Latham, New York, United States. Apply via Workday.

Senior Digital Marketing Associate (Royce Investment Partners) — New York, United States of America. Apply via Workday.

SVP, Institutional Sales Manager - Taft Hartley — New York, United States of America. Apply via Workday.

Clinical Development Medical, Associate Director — United States - New York - Pearl River. Apply via Workday.

About Us Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution. At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking. Why Novo? • Novo is a rapidly growing series B fintech startup with a mission-driven team that’s passionate about helping every small business in America • Positive, inclusive, supportive culture cheering you on your journey • We work with very new technologies and architecture patterns • Offices in NYC and India Role Summary The Senior Manager, Customer Support & Success is the strategic owner of Novo's most critical 1:1 customer touchpoints - from complex escalations and collections recovery to a proactive customer success motion you’ll get to build from scratch. This is a player-coach role: you will lead a small, high-performing team while staying close to the work yourself. You will operate with significant autonomy, bring consistency and customer obsession, and shape what this function looks like two to three years from now. About the Role Escalations & Collections — Raise th

Company Description Novo is a venture-backed fintech that simplifies banking for small businesses. Since our Fall 2018 beta launch, we've expanded offerings from free checking accounts and debit cards to lending products, business tools (invoices, bookkeeping, and more), and integrations.Today , Novo is a powerfully simple banking platform that serves over 250,000 small businesses. In addition to providing smart tools built for entrepreneurs to better run and grow their businesses, Novo has processed billions in transactions in partnership with a number of established banking partners. Our vision is to be the go-to platform serving small businesses – from launch to everyday – so business owners can focus on growing, while Novo provides seamless money movement, money storage, and access to capital. We'd like to look back 5–10 years from now and know that we helped new generations of small businesses succeed because of the work we did at Novo. Novo raised $170 million in venture capital and is backed by leading investors, including Stripes, Valar Ventures, Crosslink Capital, and Notable Capital (formerly GGV). Learn more at https://www.novo.co . Role Description Novo is seeking a highly experienced and motivated product manager to own and scale our core banking experience — the accounts, money movement, cards, and program infrastructure that power banking for over 250,000 small businesses. This role is critical to ensuring the reliability, usability, and depth of the products at the heart of Novo, supporting our rapidly expanding customer base and business operations. The ideal candidate is a hands-on product leader who can set product direction for complex, regulated financial products, partner closely with Engineering, Design, Risk, and Compliance, and work hand-in-hand with banking partners to ship reliable, secure, high-quality experiences within a dynamic, regulated fintech environment. Responsibilities Product Strategy & Leadership Own the strategy, roadmap,