Enterprise Sales Jobs

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We're looking for an SAP developer whose toolkit has grown past the ERP — someone who writes ABAP inside SAP GUI and is just as ready to pick up Python or TypeScript to ship the cloud half of their own integration, and who raises the bar on automation along the way. You Will Build in SAP Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downs

About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior Data Warehouse and Integration Engineer responsible for database engineering, data warehouse architecture and support, data integration, reporting support, production troubleshooting, and technical delivery. This role requires someone who can independently own complex DB/data work from investigation and design through production completion and ongoing support. The biggest need is database/data integration ownership and production troubleshooting, followed by data warehouse architecture and reporting. The role needs someone to be comfortable with the existing on-prem/Microsoft environment while also helping us move toward more modern Azure-based solutions. What you’ll do: Design, develop, maintain, and troubleshoot SQL Server databases, stored procedures, views, jobs, and related database objects. Design and support enterprise data warehouse architecture, data models, schemas, and data flows. Evaluate and improve data warehouse structure, scalability, performance, and maintainability

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for s

Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: We are seeking a Product Support Analyst (Voice) to provide technical customer support for the wholesale and enterprise product offerings. This position requires technical expertise in Local and Wide Area Networks concerning telephony infrastructure, understanding Router Configurations that affect VOIP and SIP Trunking. This position would require you work: Monday - Friday from 12:00 PM – 9:00 PM What You'll Do: Provide technical support to customers for voice, API and 911 products. Professional communications with customers in troubleshooting reported issues. Partner with Local Exchange Carriers in resolving customer network issues. Manage ticket progress to address and resolve customer issues within Service Level Agreement requirements. Partner with customer’s IT support personnel in resolution of issues. Assist with troubleshooting of customer’s routers that included in VOIP and SIP network. Escalate chronic or intermittent issues to higher echelon teams and management level attention What You Need: Bachelor’s degree is preferred but Associate degree with additional SIP, PBX, and network experience is acceptable. Voice over Internet Protocol (VoIP) and Session Initiation Protocol (SIP) are a must. Additional skills in

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Science desk of the New York Times is looking for a creative, energetic reporter to cover the world of space exploration. We’re looking for a heartbeat of stories that capture the wonder, the successes and failures, the big dreams and big personalities of the space world, whether at private space companies like SpaceX or in the orbit of NASA. The ideal candidate will be an accomplished multimedia journalist who can report and produce both text and video. You are adept at moving quickly on breaking news including launch coverage and other fixtures of the daily beat, but also able to identify stories with visual potential and eager to pursue a wide array of types of stories, including developing ambitious visual enterprise stories. This is an in-office position and includes regular attendance in a New York Times bureau four days each week. There may also be flexibility to work remotely per departmental guidance. Responsibilities: Pitch, report and produce news, enterprise and explanatory stories in both text and video, including on-camera reporting. Contribute to live and developing-news coverage, including launches, mission milestones, anomalies and breaking developments. Help to develop well-structured scripts for linear videos and combine text and visuals in multimedia formats. Monitor wires, local and regional outlets, social media feeds and other sources for developing storylines and reporting opportunities that help explain the beat

Location: San Francisco, CA (Hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy, it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role Verse builds energy intelligence software for AI data centers and other large energy consumers. Our Dispatch Intelligence platform monitors and controls on-site batteries and other distributed energy resources in real time, so data centers keep compute online while the grid sees a flexible load. The same batteries earn revenue in energy markets such as ERCOT, CAISO and PJM. We are hiring a Product Manager to own the real-time telemetry, control and model predictive optimization layer of Dispatch Intelligence. You will build high-performance software that controls distributed energy resources, running on edge gateways or hardware-level virtualization platforms at customer sites. Working side by side with engineers, you will own the product requirements shaping how our platform connects to and controls equipment at each site. You will also own how optimized schedules are executed at the site and what happens when any of those steps fails. Key Responsibilities Drive OEM integrations across BESS m

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Authentication & Tokenization Team Operating at the intersection of high-grade security and conversion optimization, our Authentication and Tokenization systems deliver robust solutions for global commerce. The Adyen Tokenization solution securely vaults payment credentials to enable seamless, friction-free checkout experiences worldwide while ensuring adherence to localized market regulations. Our Authentication engine dynamically optimizes transaction flows to eliminate checkout friction while maintaining strict compliance. Both products are core pillars of Adyen Uplift , an advanced, AI-powered payment optimization suite designed to drive peak performance for global enterprise merchants. By capitalizing on Adyen's vast, unparalleled global payments data, Adyen Uplift offers intelligent, AI-powered solutions that help businesses maximize payment conversions, streamline fraud management, and reduce the overall cost of transactions. Based in one of the world's most dynamic fintech hubs, our engineering team navigates intricate compliance frameworks, including the RBI's Card-on-File Tokenization (CoFT) and multi-factor authentication mandates. We design and scale low-latency, highly resilient distributed systems that process millions of daily transactions. Joining this team means taking complete, end-to-end ownership of mission-c

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the Team: Our Customer Risk Review team is seeking an experienced Senior CDD Risk Analyst with a strong compliance and regulatory background and deep CDD knowledge. In this role, you will drive high-complexity risk reviews, lead direct customer engagements, and work cross-functionally with Quality Assurance, Compliance and Commercial teams to help scale the process while balancing risk mitigation with strategic business growth. What You’ll Do End-to-End Case Management: Manage periodic reviews for high-risk enterprise customers, from initial assessment through final remediation. This involves conducting in-depth due diligence, analyzing complex ownership structures, and adhering to all regulatory obligations and internal policies are met within strict timelines. Uphold Quality & Consistency: Maintain "First-Time-Right" accuracy, perform regular quality control checks for the team, upskill team members on quality standards, ensure accurate risk reasoning, follow SOPs strictly, and maintain high-quality decision-making across all casework. Peer Mentorship: Coach peers, guide the team through complex cases, support upskilling team quality, and foster a culture of proactive risk management. Policy Alignment & Operational Excellence: Lead calibration sessions to translate Second Line compliance requirements into pract

We are looking to speak to candidates who are based in Sydney for our hybrid working model. Required Experience building and maintaining complex mission-critical production database systems (RDBMS or NoSQL). Coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. Experience working with APIs and using it to integrate with 3rd party technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc. Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting Experience analyzing and troubleshooting issues holistically, from the application tier through the database, down to storage Troubleshooting experience with TCP/IP networking stack on OS and Hypervisor Experience using or administering one or more cloud services stacks such as AWS, Azure or GCP Hands-on experience with administering and troubleshooting NAS, SAN, local storage, multi-pathing Experience building solutions involving application workloads and use cases. Preferred Experience using or managing MongoDB preferred Experience in one or more programming languages developing applications using a NoSQL or SQL database. Strong understanding of authentication systems such as LDAP, Kerberos, AD Experience using distributed version control systems, and in particular git Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators. Experience in working software product teams, and familiarity with product release processes from planning to release. Success Measures In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training. In 6 months, you will be comfortable working frontline w