On Page Seo Jobs

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 without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. The Role The Technical Writing team at Sendbird empowers developers to build successful businesses on our platform by delivering high-quality content — from documentation and user guides to tutorials, UI text, and beyond. As a Technical/UX Writer, you'll be at the center of the developer experience, transforming complex technical concepts into content

Sendbird is on a mission to build the AI workforce of tomorrow. Sendbird is the omnichannel AI agent platform enterprises choose to elevate the customer experience by initiating autonomous support & sales conversations, keeping humans in the loop for complex inquiries, and re-engaging customers with proactive business messages. We are the omnichannel AI agent platform that enterprises choose to elevate customer experience. Trusted by 4,000+ of the world’s most popular apps—including industry leaders like Match Group, Rakuten, Yahoo, and Coupang—Sendbird powers over 7 billion messages every month. The Sendbird Revenue Operations team is looking for a Head of Marketing Operations. The Revenue Operations team brings together Marketing Operations, Sales Operations, CX Operations, and Data Insights — together, we own the processes, systems, and analytics that power the entire lead-to-cash cycle. It's a fast-moving, high-impact function, and this role is central to how we grow. Reporting to our Head of Revenue Operations, you'll own the monitoring and enablement of lead and pipeline delivery. We're looking for someone who really gets marketing — someone who can build the systems, processes, and workflows that help our marketing efforts thrive and scale. This role is based in our San Mateo, California office, with the team on-site Monday, Wednesday, and Thursday each week (3+ days). This is an IC role that owns the function, the strategy, and vendor relationships. You'll be joining a team that moves with urgency, thinks in data, sweats the details, and is genuinely energized by building a high-quality pipeline for Sales. If that sounds like your kind of environment, we'd love to talk! What you will do: Lead our Marketing Operations efforts, and be a partner to the Head of Demand Generation and our Marketing stakeholders. Manage our external MOps agency that executes our Campaign Operations. Platform and Systems Ownership Own the Marketing technology stack a

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer. About the job This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers. Responsibilities In this role, you’ll: Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions Instrument AI/ML services with appropriate metrics

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer. About the job This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers. Responsibilities In this role, you’ll: Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions Instrument AI/ML services with appropriate metrics

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is an AI-first company revolutionizing how customer service is delivered today. Our entire platform is driven by a set of advanced AI Agents, who blend automation with empathy, setting a new standard in customer experiences at scale. At Fin, you’ll help shape the future of AI-first customer experiences, showing our customers the transformative power of artificial intelligence. By inspiring a bold vision and delivering impactful solutions, you’ll make AI-powered experiences not just possible, but a reality for our customers. About the Role There's an enormous difference between building a Fin demo and deploying Fin in production. A Solutions Engineer can stand up an impressive AI agent demo in an afternoon. Making that demo reliably show what Fin actually does - across every channel, every persona, every vertical, in front of the world's most discerning buyers - is a different discipline entirely. That discipline is what we're hiring for. As a founding Fin Demo

Asana is looking for a Senior Product Designer to help shape the future of onboarding and user adoption in the age of AI. In this role, you’ll design intelligent, adaptive experiences that help new users quickly realize value through AI-powered workflows, guidance, and personalization. You’ll work at the intersection of product design, AI interaction design, and rapid product exploration, partnering closely with product managers, engineers, researchers, and data scientists to prototype, test, and evolve ideas quickly. We’re looking for a designer who is energized by ambiguity, excited about emerging AI capabilities, and eager to explore ideas collaboratively through making. This role is ideal for someone who thrives in fast-moving environments, loves using prototypes to think and communicate, is energized by experimentation and iterative learning, and is excited by a highly collaborative product development process where ideas evolve continuously across disciplines. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About the design team We design the future of teamwork . Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community. We’re a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We are a team that loves combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to

The Consumption Based Billing & Licensing (CBBL) team builds the systems that decide what customers can access, what they've purchased, and what they've used. We own the infrastructure behind licensing, entitlements, and usage-based billing for Asana's newer products and add-ons — making sure customers get the right paid features, usage is tracked accurately, and admins have clear ways to understand and manage their accounts. As Asana expands its product surface and pricing models, the systems we build directly shape how the business grows and how customers experience the value of what they've bought. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Lead and grow a team of engineers working across backend systems, platform services, and customer-facing experiences. Set technical direction and help shape the roadmap for licensing and billing capabilities. Partner closely with Product, Design, Data, Finance, Sales, and other engineering teams to turn ambiguous business needs into shipped solutions. Drive execution on projects such as: licensing and access control usage tracking and billing admin dashboards, alerts, and controls bulk and automated license assignment trial and add-on provisioning flows Make thoughtful trade-offs across scalability, reliability, correctness, and speed of delivery. Coach engineers, support their growth, and build a high-performing team culture. Communicate clearly with senior stakeholders and explain technical decisions in business-friendly terms. About you: Strong engineering management experience, ideally at the level of leading a team through complex prod

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: As organizations rapidly invest in AI applications and build out AI labs, telemetry volumes are growing exponentially and costs are becoming unpredictable. From LLM interactions to agentic workflows, AI systems generate unpredictable streams of logs, driving up costs and making it harder to maintain efficient observability. These challenges are critical for organizations in regulated industries with strict data residency requirements, where data must remain within controlled environments. Datadog’s Bring Your Own Cloud (BYOC) team is reimagining what observability and security look like at petabyte scale in the AI era. The Opportunity: The Group Product Manager - Bring Your Own Cloud (BYOC) role is responsible for defining and bringing to market the next generation of telemetry analytics and insights capabilities in an AI-first environment. This role is highly technical and creative in nature as you will envision novel ways to enable customers to cost-effectively explore, analyze and report over petabytes of data through a welcoming and easy-to-use interface. You will partner with various teams to take advantage of BitsAI capabilities and surface critical insights on volume usage and retention for popular use cases. 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: Lead and grow a team

We're on a mission to build the best platform in the world to defend the enterprise from code-to-cloud-to-runtime. Used by thousands of companies globally, Datadog security products uniquely leverage Datadog’s unified security and observability platform so Security, DevOps and SRE can collaborate rapidly and seamlessly to deliver better detection, prioritization and remediation. Our product and engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. In this competitive market, the Group Product Manager for Code Security will play a mission-critical role in providing product and strategy leadership to grow Datadog’s market share through differentiation, innovation and compelling customer value. This leader will lead a talented and growing team of product managers and work with world class engineers to build and grow multiple Code Security products that play an essential role for our customers’ code security programs, and growing Datadog into a security industry leader. 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: Run and grow multiple Code Security products to meet revenue and business targets with the goal of building a multi-hundred million dollar annual business. Lead and own product strategy and roadmap for accountable security products, fully aligned to revenue and business goals and with compelling differentiation and customer value. Ensure predictable roadmap execution across direct and partner teams to achieve product and business outcomes required to meet the revenue and business goals. Analyze and develop pricing and packaging strategies to maximize revenue through attaching deep understanding of market dynamics and other strategic leverage points. Drive GTM strategy with GTM partner teams

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: As individual contributors, they bring world class technical abilities to deliver industry leading systems in areas such as data visualization, virtual runtime profiling, and planet scale streaming. As technical leaders they bring experienced technical breadth and communication skills to tackling design and architectural problems spanning the organization, charting the right course, then leading delivery. In both roles they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improve company wide standards around software and systems engineering. Some examples of projects a staff engineer may own include designing and building a new data storage engine handling hundreds of millions of records per second, being the lead engineer building a new product like synthetics or profiling, or rebuilding a critical service to handle the next two orders of magnitude of scale. What You'll Do: Be the technical owner of multiple pieces of critical architecture in your area of the business Own delivery of the systems you architect from beginning-to-end, doing what it takes to get things shipped and at full scale in production Dive deep into performance of systems; inventing new approaches that bring efficiency at scale Who You Are: You have a BS/MS/P

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. 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: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale with trillions of data points per day, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams for tens of thousands of companies globally. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team The Datadog Security Libraries team owns the customer-side integrations behind our run-time security products App & API Protection , Workload Protection , and Code Security . Our libraries let customers automatically manage application security risk with continuous, real-time monitoring of vulnerabilities and threats against their web applications, serverless applications, and APIs, in production. Automatically integrated with Application Performance Monitoring (APM) distributed tracing and code-level context, our software empowers development, operations, and security teams to build and run secure applications. As a polyglot team we ship and maintain the security capabilities of Datadog's tracing libraries across .NET , Java , Go , Node.js , Python , Ruby , and PHP , on top of a shared C++ core and a set of HTTP proxy integrations (primarily Envoy, NGINX, and HAProxy). Our code runs inside thousands of production applications around the world. Recent work spans exploit prevention (RASP) and WAF detections, API Security, code security (IAST and SCA), and AI-assisted ("agentic") onboarding, always measured by real product outcomes and operational telemetry. The Opportunity We're looking for a senior, polyglot engineer to contribute across several of our security libraries, with .NET or Java expertise. You'll design and build security integrations and detection features, take them from prototype to production-hardened, and own them operationally as they instrument thousands of applications. As a se

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. You will: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs 6+ years of experience Bonus points: You've worked at high scale with systems like Redis, Cassandra, Kafka You wrote your own data pipelines once or twice before You have a strong background in statistics You have significant experience with Go, C, or Python You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualificat

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t