Ai And Cloud Service Provider Account Executive Jobs

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 an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. Who You Are: We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact. Requirements: At l

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

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our engineering team for a 12-week paid internship where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible. This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe. You will: Ship real features to millions of developers using Replit's platform Collaborate cross-functionally with engineers, designers, product managers, and AI researchers Build and optimize developer experiences that make coding accessible to everyone Work on cutting-edge AI tools and infrastructure that power the next generation of software creation Learn from the best in an environment where your ideas are heard and often implemented Required skills and experience: Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field Have at least one semester of schooling remaining after the internship completion Proficient in at least one programming language and comfortable with full stack development Passionate about developer tools, AI, or making technology more accessible Thrive in fast-paced environments where you can move quickly and adapt to changing priorities What we value : Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions Se

As a Manager, Mid-Market Sales, you will provide strategy, mentorship, and guidance for a team of Mid-Market Account Executives. This role impacts one of the largest lines of business in the company, ultimately bringing a proven product to a multi-billion dollar market and selling into companies from 1,000 to 5,000 employees. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Motivate your team to exceed objectives Develop and maintain accurate team forecasts Hire, oversee, and train a team of Mid-Market Account Executives Drive lead generation, high activity standards, and pipeline management Facilitate the ramp up for all new team members, coaching them to success Monitor the sales funnel from prospect to close and create metrics to improve performance Who You Are: Experienced in hi-tech direct sales Familiar with SaaS/Cloud and Salesforce Able to accurately forecast team performance Passionate about coaching, mentorship, and team management Motivated by helping people grow with a desire to continue learning A self-starter who thrives in a high-growth, rapidly changing marketplace Proven in overseeing an outbound sales team in all areas of the sales cycle Fluency in Portuguese at a professional or business level is essential for this position Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: High income earning opportunities based on performance Opportunity for Presidents Club New hire stock equity (RSU) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Sales training in

As a Manager, Commercial Sales, you will provide strategy, mentorship, and guidance for a team of Commercial Account Executives. This role impacts one of the largest lines of business in the company, ultimately bringing a proven product to a multi-billion dollar market. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Motivate your team to exceed objectives Develop and maintain accurate team forecasts Hire, oversee, and train a team of Account Executives Drive lead generation, high activity standards, and pipeline management Facilitate the ramp up for all new team members, coaching them to success Monitor the sales funnel from prospect to close and create metrics to improve performance Who You Are: Experienced in hi-tech direct sales Familiar with SaaS/Cloud and Salesforce Able to accurately forecast team performance Passionate about coaching, mentorship, and team management Motivated by helping people grow with a desire to continue learning A self-starter who thrives in a high-growth, rapidly changing marketplace Proven in overseeing an outbound sales team in all areas of the sales cycle Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: High income earning opportunities based on performance Opportunity for Presidents Club New hire stock equity (RSU) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Sales training in MEDDIC and Command of the Message Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, opportu

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Engineer you will identify and drive impactful projects to improve the security of Figma’s product, platform, and IT systems. We are hiring for multiple teams within Security Engineering: AI Security, Platform Security, Product Security, and Anti-Abuse. This is a remote first role. You will partner closely with teams across the company and focus on systemic security improvements and risk reduction. You will also participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response. Examples of what you may work on across teams: AI Security Perform technical security assessments, code audits, and design reviews for new AI infrastructure, platforms, and products. Design and develop technical solutions to secure AI models, tooling, debugging workflows, and data pipelines. Advocate for secure practices across Figma’s AI infrastructure, platforms, and data systems. Build the next generation of internal AI-powered access insights and security tooling. Help run penetration testing and offensive security exercises against Figma’s AI infrastructure, platforms, and products. Platform Security Perform technical security assessments, code audits, and design reviews for changes to Figma’s cloud and corporate infrastructure. Design and develop solutions to prevent or mitigate cloud and corporate security risks. Advocate for secure practices within Figma’s cloud and corporate infrastructure. Build platforms and tooling t

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We're hiring a Product Partnerships Manager to own Replit's most important strategic partnerships end-to-end: from identifying the opportunity to shipping the outcome and measuring the impact. This is a product-focused role where you will work with our consumer technology partners, such as Stripe, Shopify, Google, and the broader connector ecosystem. You'll work at the intersection of product strategy, ecosystem thinking, and deal execution. You'll need to be a serious Replit power user. You'll speak credibly with engineers. You'll negotiate with senior partner stakeholders. And you'll be the person accountable for turning ambiguous ecosystem opportunities into shipped product and business outcomes. What You'll Do Develop a clear point of view on Replit's partner landscape and build a prioritized pipeline of high-leverage opportunities across consumer tooling, AI tooling, cloud and infrastructure, and payments technology partners. Lead partner conversations from early exploration through joint product thesis, business case, commercial terms, launch plan, and post-launch iteration. Partner with Product, Engineering, Partner Engineering, Legal, Finance, Marketing, and Sales to turn agreements into shipped outcomes. Work directly with Partner Engineers to scope integrations, demos, prototypes, reference apps, and partner enablement assets. Define success metrics before every launch activation: retained usage, apps created, deployments, revenue, partner-sourced users, and use them to decide when to scale, iterate, or sunset a partnership. Build lightweight operating systems: partner scorecards, launch checklists, partner roadmap tracking, and repeatable frameworks for evaluating new opportunities. Represent

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're at the forefront of the data revolution, building the world's greatest data, applications, and AI platform. Our culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative and value-driven environment. Snowflake is looking for a Director of Partner Marketing, EMEA to shape and lead our partner marketing strategy across the region. This leader will serve as the critical connective tissue between Global Partner Marketing and EMEA Sales, Alliances and Marketing, translating global strategy and programs into focused regional execution, while bringing EMEA priorities and insights back into our global approach. This is a senior leadership role for someone who combines strategic judgment, operational rigor and cultural excellence. You will focus our resources on the partners and opportunities that matter most, ensure partner motions are deeply integrated into our core GTM priorities, and build a team and culture known for focus, accountability, collaboration and impact. What You'll Do Set the EMEA partner marketing strategy and priorities, aligning closely with Global Partner Marketing while determining where and how to activate across strategic cloud partners, GSIs, ISVs and other priority ecosystem relationships in the

MongoDB is seeking a Senior Partner Marketing Manager to build and scale high-impact go-to-market programs with strategic cloud, technology, AI, and ecosystem partners. This role will contribute to the partner marketing strategy and execution across integrated campaigns, launches, events, digital programs, co-marketing motions, marketplace activation, and marketing enablement. Working closely with Partner team, Specialists,, Partner Strategic Operations, Alliances, Field Marketing, Global Demand Center, Product Marketing, Sales Enablement, and Communications teams. Reporting to the Lead, Partner Marketing, the successful candidate will help drive customer adoption through partner attach and generate partner-sourced and partner-influenced pipeline, while creating repeatable programs that scale across regions and partner types. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Key Responsibilities Translate partner capabilities, integrations, APIs, and AI solutions into compelling marketing messaging and experiences for developers, architects, IT decision-makers, executives, partner sellers, and marketers Develop customer-outcome-led messaging and campaigns that clearly articulate the better together value of MongoDB plus partner Plan and execute integrated, multi-channel programs leveraging the Global Demand Center and their offerings across direct, organic and paid channels Support cloud marketplace, solution-listing, integration, launch, and post-launch adoption motions where applicable working closely with Cloud Partner Marketing team Create scalable marketing activation assets for partners including campaign-in-a-box kits, co-marketing plays, solution briefs, messaging guides, battlecards, demos, webinars, training, and customer-facing content Build repeatable partner marketing playbooks, content kits, and operating processes that can be localized and scaled across partners and regions Lead partner-facing events,

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. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Vice President, SE - Majors to lead the Solution Engineering organization that partners with our Majors accounts, some of the largest and most strategic enterprises in our portfolio. This leader owns the technical win across the Majors segment, building and scaling a world-class SE team that turns complex data and AI challenges into measurable customer outcomes on the Snowflake AI Data Cloud. It is a chance to shape how our most important customers adopt agentic and generative AI, and to influence product direction at the highest levels of the company. AS A VICE PRESIDENT, SE - MAJORS AT SNOWFLAKE, YOU WILL: Lead, hire, and develop a multi-layer Solution Engineering organization supporting Majors accounts, including SE directors, managers, and principal-level individual contributors Own the technical strategy for the Majors segment, aligning SE resources to revenue goals in close partnership with Sales leadership on the largest enterprise opportunities Set the vision for how Majors custome

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. Snowflake's Data Engineering organization builds the platform that ingests, transforms, and stores data for modern lakehouse architectures — powering billions of queries, DML, and DDL operations with industry-leading price-performance. We lead the industry's shift to open data lakes through our work on Iceberg and Polaris, and we deliver capabilities like Snowpark, Dynamic Tables, cross-region replication, time travel, and zero-copy cloning at enterprise scale. We are investing in a new line of applied research — building toward verified data infrastructure and trustworthy data systems — that brings formal methods, automated reasoning, and modern AI techniques to bear on the hardest problems in our distributed systems and developer tooling. The goal is to improve correctness, reliability, and engineering velocity at a scale very few platforms operate at. We're hiring at both the Staff and Principal level; we'll calibrate the offer to the candidate's experience and scope of impact. What you'll do Lead research projects that apply formal methods, program analysis, automated reasoning, and AI-driven techniques (including code generation and modeling) to real problems in our cloud data platform. Translate research ideas into prototypes, then into shipped capabilities that move

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 Majors Account Executive for our Sales team. You will own a strategic portfolio of major accounts across the APJ region, driving new business and expansion revenue with data-forward companies where the stakes and the opportunity are both significant. AS A MAJORS ACCOUNT EXECUTIVE AT SNOWFLAKE, YOU WILL: Own end-to-end revenue generation for a defined territory of major accounts, building multi-threaded executive relationships that drive adoption and meaningful expansion Develop and execute account plans that connect Snowflake's Data Cloud capabilities to customer business outcomes, not just technology requirements Navigate complex, multi-stakeholder sales cycles with rigor, using structured discovery, business case development, and executive sponsorship to close large, strategic deals Partner cross-functionally with Solutions Engineering, Customer Success, and Marketing to design go-to-market strategies that create enterprise-wide impact Build a healthy pipeline through a mix of executive engagement, partner channels, and AI-assisted prospecting workflows, maintaining accurate forecasts and tight pipeline hygiene Represent Snowflake at industry events, executive briefings, and field activations to strengthen brand presence and build relationships across your

NVIDIA is hiring an NCX Senior Engineer who is passionate about NVIDIA Cloud Partner (NCP) infrastructure operations to join our DSX team. This role involves working closely with strategic NVIDIA Cloud Partners to build and improve the operational capabilities essential for running large-scale NVIDIA accelerated infrastructure reliably in production. Your role involves guiding partners beyond the initial cluster deployment and validation phase into advanced Day 2 operations. These operations cover ongoing infrastructure health, observability, lifecycle management, quick remediation, performance validation, and operational readiness. You will engage directly with partner engineering and operations teams to develop consistent approaches that support NVIDIA workloads and the broader external customer environments of the partners. This is a highly technical, hands-on role at the intersection of NVIDIA accelerated computing, cloud infrastructure, distributed systems, and production operations. What you'll be doing: Lead NCP Day 2 operational readiness efforts. Collaborate directly with NVIDIA Cloud Partners to set up the systems, procedures, automation, and operational methods necessary to consistently manage NVIDIA accelerated infrastructure following initial deployment and activation. Build continuous infrastructure validation. Develop and implement methods to continuously validate GPU, CPU, storage, and network health. Do this across large-scale AI clusters to identify degraded infrastructure before it impacts critical training or inference workloads. Establish observability and operational telemetry. Help NCPs implement comprehensive telemetry, monitoring, alerting, dashboards, and operational signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads. Devel