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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 As an Enterprise/Strategic Field Engineer (L5) , you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention). You'll own the end-to-end technical relationship—from pre-sales architecture discussions through multi-year expansion—ensuring our enterprise customers don't just use Replit, but become Replit-powered companies. You'll partner with Account Executives and Account Managers in a high-accountability Pod structure . This is not a reactive support role—this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue. In this role you will: Pre-Sales Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy. Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders. Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development. Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval. Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ens

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 As an Enterprise/Strategic Field Engineer (L5) , you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention). You'll own the end-to-end technical relationship—from pre-sales architecture discussions through multi-year expansion—ensuring our enterprise customers don't just use Replit, but become Replit-powered companies. You'll partner with Account Executives and Account Managers in a high-accountability Pod structure . This is not a reactive support role—this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue. In this role you will: Pre-Sales Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy. Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders. Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development. Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval. Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ens

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, Washington D.C., London and Amsterdam. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions t

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, Washington D.C., London and Amsterdam. AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape. Plaid in the FinTech AI Ecosystem Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem. We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on. The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions t

What you’ll do Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable. Own ultrasound experimentations that feeds the image reconstruction team Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing. Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time. What we’re looking for Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab. Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts). Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment. Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation. High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team. Useful experience Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging. Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity

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 looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. Field related context As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in rel

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 looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. Location: Must be based in one of the following states: GA, TN, FL, NC, SC IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technolo

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. Data Engineering - Applied Field Engineer- CA- Menlo Park- Remote 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. Our Solution Engineering organization is seeking a Data Engineering Specialist to join our Applied Field Engineering team who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with tec

Security at most companies is reactive. A checkbox for auditors. A speed bump for engineers. A department that says no. That's not what we're building. The Company Sendbird is the #1 CPaaS platform for in-app communications — an enterprise-grade infrastructure company that gives businesses the APIs and SDKs to embed real-time chat, voice, and video directly into their own products. Over 4,000 brands trust us. Seven billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands more. We were good at what we did. Really good. So we asked what comes next. With decades of leadership in communications infrastructure, the answer was clear: AI. In February 2025, we launched our AI agent for enterprise CX. Later that year, we introduced Delight.ai — and the name says everything about what we believe. AI's real promise isn't efficiency. It isn't cost savings. It's restoring what customer experience lost somewhere along the way: the feeling of being understood, of being genuinely cared for. We don't want customers to feel satisfied. We want them to feel delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Head of IT & Security We're an AI company handling enterprise-grade conversations at global scale, and our customers trust us with data that matters. That trust isn't a nice-to-have. It's a competitive differentiator. It's why DoorDash and Match Group chose us. It's why we've earned certifications that our competitors are still chasing. Security here means being a partner to the business, not a blocker. It mea

Most PMs sit behind a roadmap. You'll be in the room where the AI actually gets deployed, then back at HQ making sure what you learned changes the product. The Company Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations, chat, voice, video, messaging APIs, and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack, into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX, built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost, the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel, chat, SMS, email, voice, WhatsApp, without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. Why Forward Deployed Product Manager Enterprise AI deployments don't fail because the technology is wrong. They fail because no one bridges th

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Design Engineer on the Design Acceleration team, you’ll be an individual contributor focused on evolving the systems and processes which power Roblox’s design organization through scalable systems, AI integrations, and custom tooling. Our team is responsible for building the orchestration layers and internal tools that empower designers and engineers to work faster and more cohesively. You will help build internal tools, like Figma plugins and design utilities, that empower designers and engineers to work faster and more cohesively. You have experience at the intersection of systems engineering and design tooling. You understand design systems, but your superpower is building the backend services, APIs, and data models that allow those systems to scale. Your work will help ensure our design tools, AI agents, and prototypes not only inspire—but deploy seamlessly into production environments. You will: Architect and build scalable backend services and APIs that connect our design tools to AI models and production environments (Roblox Studio). Develop agentic workflows and orchestration layers (such as Model Context Protocol servers) to enable natural language generation of UI components,

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Roblox Studio is the creation engine behind millions of immersive 3D games built by creators around the world. We are entering a major platform transition, evolving Studio into an AI-Native IDE where intelligent systems plan, act, validate, and iterate alongside creators to amplify their output. We are seeking a Technical Director, Applied AI to own the technical direction of the agentic AI systems embedded deeply into Roblox Studio. This is a hands-on individual-contributor role operating at the intersection of platform engineering, AI systems, and developer experience, where you will set the technical direction, design the architecture, and write the code. You will: Design and build the agentic AI systems at the core of the AI-Native IDE (planning, execution, validation, evaluation) so they are production-grade and reliable. Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow. Own the quality bar and evaluation strategy , standing up quantitative and qualitative eval pipelines, including human-in-the-loop, so we ship with confidence. Optimize these systems for latency, throughpu

Datadog is entering a new chapter in how our product looks, feels and operates. We're building a small, high-leverage Design Lab team to define that evolution, and we're looking for a Senior Staff Visual Designer to author it. Our design system powers everything we ship. Now we're ready to evolve it. As Datadog expands into AI-driven experiences and more complex product surfaces, the visual language needs to grow with it. This is the role that decides what that language is — someone with taste, judgment, and the confidence to set a direction and defend it. 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 Define and evolve Datadog’s visual language across product surfaces. Lead exploratory and concept work, creating a range of distinct visual directions for the next generation of the product. Synthesize product context, research, references, and stakeholder input into clear visual principles and a coherent point of view. Establish the quality bar for typography, color, composition, iconography, imagery, motion, and visual expression across the platform. Create high-fidelity product exemplars and prototypes that make an emerging direction tangible. Partner deeply with Brand, Product Design, Motion, and Design Systems to test and refine the direction across different surfaces. Influence executives and senior stakeholders through clear, persuasive visual storytelling. Guide and critique the work of other designers, helping the visual direction remain coherent as it evolves. Help shape how visual exploration, critique, and craft are integrated into Datadog’s design process. You will report directly to the Design Director and work as part of a small, focused team defining the future state before it scales across hundreds of designers and engineers. Who Yo

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. 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: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

Senior Product Manager - Search Datadog’s Search team helps users – both human and agents – find answers to their questions. Search is a critical function in Datadog, and touches many product surfaces: the query editors in product homepages and dashboards, search bars for finding relevant assets, the global cmd+k navigation search, and the MCP tools that our Bits AI agent uses to respond to natural language prompts. Search is a full-stack team: owning user-facing search components, backend search ranking systems, and machine learning models to produce recommendations. The Search team is relatively new, and still growing. We have recently built out agentic search tools, and we are looking for a leader to help us expand to ambitious orchestration systems that deliver accurate results, and proactive recommendations across both keyword and semantic search. Beyond this, you’ll have room to influence how Datadog thinks about Search as a strategic surface. What you’ll do: Define and deliver how Datadog's AI agents discover the right context and tools to answer natural-language questions accurately and at scale Stay on top of industry trends in UI and agentic search experiences and capabilities Collaborate with Applied AI teams to integrate ranking, personalization, and recommendation models that scale across both human and agentic users Define and monitor KPIs for search quality, adoption, and downstream impact on user productivity; use them to drive data-informed decision making Engage directly with customers and internal product teams to deeply understand search journeys across query editors, global navigation, and natural-language agent interfaces Who you are: You have experience with search, ranking, or recommendation systems You are familiar with or very interested in MCP servers and differences between human and agentic UX You have a sharp eye for design and strong opinions on the micro-interactions — keyboard navigation, autocomplete behavior, loading