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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! About the Opportunity New Relic is looking for a Senior Revenue Operations Manager – GTM Business Planning to own the operating system behind how we plan, pay, and scale our Go-To-Market (GTM) organization. Sitting at the intersection of Sales, Finance, and Systems, you will architect the annual GTM plan, design incentive compensation programs, and govern processes across quota, territory, and comp data. What You'll Do GTM Planning & Architecture: Own the annual planning cycle end-to-end, building capacity models and territory frameworks to ensure optimal market coverage and alignment with targets. Incentive Compensation Design: Partner with FP&A to architect and govern financially sound sales incentive plans and compensation policies that motivate seller behavior, drive strategic priorities, and eliminate payout leakage. Quota Management & Strategy: Establish fair quota methodologies, manage ongoing adjustments for transfers/hires, and evaluate rep productivity to handle market shifts. Operations & Governance: Govern monthly sales compensation data within Salesforce and downstream systems to maintain audit-ready accuracy across territories and quotas. Systems & Automation: Own the deployment of annual territories and quotas in Salesforce, drive the roadmap for GTM planning systems, and lead automation initiatives to eliminate manual effort and scale operations. This Role Requires B2B SaaS Experience: 6–8+ years in Revenue/Sales Operations, Sales Comp, FP&a

Senior Software Engineer, Applied AI About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We are seeking a skilled and fast-moving Applied AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role. You will be an expert at building and integrating production systems, not primarily a research scientist. Responsibilities Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability. Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves. Design long-running batch processing that is idempotent, resumable, and resilient to individual item failures. Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services. Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs. Define and implement evaluation for AI feature output quality, not only system correctness. Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robus

The role of Senior Leadership Development Manager has a critical role to play in the next phase of MongoDB's growth. You will help identify critical skills of the future, design innovative learning experiences and ensure that our People Managers, with special attention to our director-population, are continuously developing the capabilities they need to succeed in a fast-changing environment. You will design, build, and scale learning experiences that will enable people managers to live our values, serve our customers, and ultimately strengthen culture and accelerate performance. This role is part of the Culture, Talent, and Development (CTD) leadership team. As a team, we are responsible for culture and talent building programs, including leadership development, employee learning, talent management, engagement, listening, and inclusion. JOB RESPONSIBILITIES include but are not limited to: Design, deliver, and evaluate scalable leadership development experiences, tools, and resources for people managers through direct delivery, internal facilitators, senior-leader faculty, train-the-trainer strategies, on-demand learning, and AI-supported experiences Lead the design, delivery, and continuous improvement of a director-level leadership development program serving more than 500 leaders, including scalable solutions for enrollment, participant and manager accountability, and impact measurement Conduct needs assessments and align program deliverables, priorities, and resources with business objectives and broader People Team initiatives Extend learning beyond the classroom through practice, reflection, peer connection, manager accountability, real-work application, and sustained reinforcement; drive participation and enable partner teams to embed leadership development into existing experiences Establish and execute a practical measurement approach spanning participation, completion, learner experience, application, behavior change, talent readiness, and rele

About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem in the San Francisco Bay Area. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We're looking to speak with candidate based in the San Francisco Bay Area for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioni

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem in the San Francisco Bay Area. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We're looking to speak with candidate based in the San Francisco Bay Area for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioni

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! About Couchbase Couchbase is the Operational Data Platform for AI. Our customers don't run AI in a lab — they run it in production, where agents remember, reason, and act on live operational data. With the Couchbase AI Data Plane, we give those agents one governed layer for memory, context, tool access, and MCP, deployed anywhere from public cloud to Kubernetes to the edge to air-gapped environments. Amadeus, Cisco, Comcast, FICO, PepsiCo, United, Verizon, and Wells Fargo trust us with their data. That means AI security isn't a side topic here. It's adjacent to the product, and it's the environment we operate in every day. The Role We're hiring a Sr. Security Operations Engineer to join Couchbase's global Information Security team as our second dedicated SecOps engineer. We think the interesting work in security

As a Manager in our ISV Practice, you will lead a team of Forward Deployed Engineers working directly with independent software vendors (ISVs) and their engineering organizations. The team builds MongoDB capabilities inside partner products and turns successful engagements into reusable patterns for future partner engagements. You will lead the people, priorities, and operating model that enable the team to deliver production-oriented solutions with partners. This role combines people leadership, technical judgment, partner engagement, and cross-functional execution. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead, coach, develop, hire, onboard, and retain a team of Forward Deployed Engineers while creating a high-performing and inclusive engineering culture Set priorities and allocate capacity across multiple partner engagements, enabling the team to work effectively in parallel Establish a repeatable engagement model from qualification through build, validation, documentation, and handoff, ensuring partners provide the context, access, technical counterparts, and release path needed for delivery Guide the team in building production MongoDB integrations, application capabilities, migration approaches, deployment patterns, and operational guidance while maintaining a high bar for quality, readiness, security, performance, observability, resilience, and supportability Ensure engagements produce reusable architectures, implementation patterns, tooling, documentation, and lessons learned that accelerate future partner engagements and benefit the wider organization Coordinate with Solutions Architecture, Solution Validation, Technical Services, Sales, Product, Engineering, and partner stakeholders on scope, ownership, technical contribution, validation, handoff, escalation, and support boundaries Engage directly with strategic partners when senior technical or leadership involvement is needed

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforc

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforc

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, pr

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations secure and manage their extended enterprise while transforming their customers’ experiences. With thousands of global customers, 7,000+ app integrations, and over 200 million registered users, we are only getting started. As a member of the Developer Productivity Engineering team, you will tackle high-impact challenges across development environments, AI enablement for engineering, scalability, and stability. Grounded in Okta’s core value— Always Secure. Always On. —your work directly powers developer velocity, system reliability, and software quality at scale. You will act as a force multiplier for our engineering teams by identifying workflow bottlenecks, pioneering AI integrations, establishing best practices for code organization, and maintaining performant development environments. What You’ll Do Design & Automation: Build and ship automated solutions that allow developers to deliver features rapidly without compromising quality, stability, or security standards. Environment Performance & Tuning: Analyze local development workflows, build tools to track operational metrics, and profile/tune development environments (including codebase modifications). AI & Tooling Enablement: Leverage AI technologies across the development stack

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

The Best Players Need the Best People. This position is responsible for facilitating the day-to-day operations and evolution of the PGA TOUR’s CRM & integrated technology platforms. In this role, you will collaborate with business units across the TOUR to help them achieve their strategic objectives by customizing our technology platforms to fit business needs, and training end users on best practices. QUALIFICATIONS Bachelor’s degree or equivalent experience in computer science, information systems, business analytics, or related discipline. 5+ years of experience with CRM administration for enterprise customers (applicants with Salesforce certifications are preferred). Strong understanding of CRM business processes and principles including back-end architecture, app integrations, data pipelines, and security policies. Experience with using data visualization tools (Tableau, AWS QuickSight) and SQL to analyze large datasets is a plus. Self-motivated with a high degree of initiative and attention to detail, along with strong analytical, problem-solving, and critical thinking capabilities. Strong interpersonal skills with the ability to work and communicate effectively with non-technical

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Growth Platform Engineering team builds the core systems and tools that drive user acquisition, engagement, and lifecycle growth at Affirm. Our platform enables personalized communications, intelligent experimentation, and scalable services that help customers discover and adopt Affirm’s products. We collaborate closely with Product, Data Science, and Experience teams to design APIs, event-driven services, and experimentation frameworks that reach millions of customers across thousands of merchants. This team’s work directly impacts how customers experience Affirm and fuels our long-term growth. We’re looking for a passionate Senior Software Engineer to design and build backend systems that power Affirm’s growth engine. This is a high-impact, cross-functional role that combines technical excellence with strong product intuition. You’ll contribute to scalable, secure, and extensible services that enable Affirm to reach new customers, improve engagement, and expand our product ecosystem. The systems you build will directly influence customer experiences and Affirm’s overall growth trajectory. What you'll do Drive planning and prioritization of projects based on product, technical, and business goals using data-driven decision making. Design and build scalable backend systems, APIs, and data models that power communications, experimentation, and personalization. Partner with Product Managers, Data Scientists, and Analysts to define and execute strategies for customer acquisition and engagement. Establish and uphold engineering best practices to ensure services are secure, observable, and performant at scale. Mentor and support junior engineers, contributing to a culture of learning, collaboration, and technical excellence. What we look for 6+ years of experience as a Software Engineer with