Content Manager Jobs

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. 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. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine . We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. Engin

SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. PagerDuty is seeking a Software Engineer to join our diverse and customer-focused team! You'll be working on our strategic integrations, which connect PagerDuty to the many tools our customers rely on. The work spans a wide range of technologies, including APIs, webhooks, OAuth, and SaaS platforms across multiple languages, and you'll help advance how we use AI as a core part of day-to-day engineering. Why we need you The PagerDuty Integrations Team is looking for a software engineer who's eager to learn new technologies. Our integrations connect PagerDuty to the wider set of tools our customers use every day, spanning many languages, platforms, and protocols. You'll help create the foundation for these systems by building highly available services, scalable databases, and secure APIs. You'll also help promote engineering excellence across our design, development, test, and release cycles, with AI as a core part of how you work. Key Responsibilities From day one, you'll be designing, coding, testing and shipping backend applications and microservices, APIs, webhooks, and front-end interfaces that ensure we deliver reliable, scalable integrations to our customers. You'll collaborate closely with engineers across teams. With 20,000+ global customer

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate their fidelity against observed rider behavior and historical experiments, and study where these simulations can accelerate product iteration and experimentation. This role combines LLM engineering, agent-based modeling, machine learning, and causal inference with direct applications to real-world rider products. The expected outcome is to build a working Rider Agent simulation prototype, establish an evaluation framework for measuring simulation fidelity and validate the framework using historical rider experiments. Responsibilities: Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity Apply the simulation framework to real Rider product problems and assess its usefulness for hypothesis generation, product iteration

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our immune cell reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed. You can learn more about our work here . Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Our Vision Pursue large scientific challenges that cannot be pursued in conventional environments Enable individual investigators to pursue their riskiest and most innovative ideas Facilitate research by scientists and clinicians at our home institutions and beyond We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease. The Opportunity The Advanced Single Cell Technologies group provides critical single cell profiling and perturbation assays, technology, and expertise to the Biohub NY community. The goal of the platform is to develop cutting-edge single-cell technologies in collaborations related to studying human disease and the interaction of immune cells with human organs. More information can be found on the lab website ( https://biohub.org/single-

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Backend Software Engineers at Palantir build software at scale to transform how organisations use data. Our Software Engineers are involved throughout the product lifecycle, from idea generation, design, prototyping, and production delivery. You will collaborate closely with technical and non-technical teammates to understand our customers' problems and build products that solve them. We encourage movement across teams to share context, skills, and experience, so you'll learn about many different technologies and aspects of each product. Engineers work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop, becoming a strong technical contributor and engineering leader. Your day-to-day workflow will vary, adapting to the requirements of our users and the technical challenges that arise. One day, you may find yourself collaborating with other engineers to architect a new system that enables a novel workflow, the next you could be fine-tuning performance to enable low-latency operational outcomes. Our Product Development organisation is made up of small teams of Software Engineers. Each team focuses on a specific aspect of a product and work collaboratively to build cross functional capabilities, streamline user workflows and continuously improve our software's efficiency and reliability. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers and end-users to work optimally. If you’re motivated to develop reliable, performant, and scalable systems, and to design robust APIs and primitives, this role offers the opportunity to make a

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t