Content Manager Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Role will be based in Mexico City, Mexico We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately help customers grow in their use of Snowflake. As a Snowflake Solution Engineer you must share our passion about reinventing the AI Data platform space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors at Snowflake customers and prospects Work hands-on with customers to demonstrate and communicate the value of Snowflake technology; identify use cases, and guide the customer to successfully take them from demo to implementation, and a successful go-live. Present Customers with the innovations in Snowflake and the value these innovations add 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 Software Engineers at Palantir build software at scale to transform how organisations around the world use data. As a Software Engineer Intern, you’ll have an opportunity to grow more quickly than you ever envisioned, as you contribute high-quality code directly to Palantir Gotham, Palantir Foundry, or Palantir Apollo: products that are deployed at some of the most important institutions across the public and private sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters, in countries around the world. Palantir's Product Development organisation is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll learn about many different aspects of each product. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SWE

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Senior Forward-Deployed Engineer on the Professional Services team, you will embed with developer teams at strategic enterprise customers to lead frontend migrations, performance work, and production AI builds. Success looks like production code live in customer environments, customer teams able to extend it on their own, and a wider partnership with each account. This is a remote role open to candidates in the US, with occasional travel to customer sites. What you'll do Build production AI agents, Model Context Protocol (MCP) servers, and agentic workflows with the AI SDK and the eve framework inside customer environments Lead migrations of legacy React, Vue, and other frontends to Next.js, including Pages Router to App Router, and automate the repeatable steps Audit customer codebases for performance bottlenecks and architectural anti-patterns, then deliver roadmaps with measurable improvements, including answer engine optimization (AEO) and search engine optimization (SEO) Architect and ship high-performance Next.js applications with App Router, Server Components, streaming, and incremental static regeneration (ISR) Run workshops and pair programming sessions so customer teams can maintain what you ship, and share repeatable patterns with Product and Engineering What you need 6+ years of software engineering experience, including 2+ years in a customer-facing technical role (consulting, solutions architecture, forward-deployed engineering, or technical founder) Shipped production TypeScript applications on Next.js and React,

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance. As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift. About the Job Define Ads ontologies and metrics for campaigns, budgets, bids

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. In this role, you will serve as the primary technical partner for our most strategic prospects and customers. You’ll play a dual role: driving complex technical engagements through end-to-end demos, migrations, and integrations, and accelerating ramp for new sales hires by codifying best practices. You will showcase our product’s value to prospects, uncover challenges and architect tailored solutions, drive successful sales evaluations, and champion customer needs internally. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Articulate Linear’s architecture, data model, and integration patterns to engineering and product teams; deliver tailored technical presentations and deep-dive demos for key stakeholders. Design, plan, and execute large-scale migrations, custom configurations, and API integrations; troubleshoot proactively to ensure seamless onboarding. Build and maintain realistic demo instances that mirror enterprise workflows, scale tests, and feature toggles—enabling sales reps to showcase Linear’s capabilities in context. Collaborate with Sales

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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanisticall

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliab

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. RESPONSIBILITIES: Scale synthetic coding data to trillions of tokens with large-scale docker verification. Distill the intelligence of flagship models into flash models through synthetic data generation. Optimize mid-training data mixtures to boost the ceiling for RL. Engineer long-context data recipes. Develop robust and diverse evaluation for mid-training checkpoints. BASIC QUALIFICATIONS: Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. Strong ability to design ML experiments. Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Not

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 Seer runs agents against real production problems for Sentry's customers. That means long-running jobs, lots of tool calls, messy real-world data, and a cost bill that matters. We need a Senior engineer to build the platform those agents run on, so product teams can ship new AI features without rebuilding the plumbing every time. In this role you will Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues Make every run debuggable: traces, cost and latency per run, and enough context to explain a bad answer Build eval and rollout tooling so we can swap models without guessing Keep it flexible enough that next quarter's model or protocol is an upgrade, not a rewrite Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles Own major AI initiatives, building alongside developers and product teams You'll love this job if you Are driven by impact and enjoy working on high-stakes, high-visibility projects Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members Thrive in cross-functional teams and enjoy building features alongside developers and product teams Qualifications You have 5+ years building production systems, including LLM-backed products, and can point to one people relied on You write solid production Python and TypeScript You have good distributed-systems instincts: timeouts, idempotency, failure modes Model training experience is a plus, not a requirement The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to $400,

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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to

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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to

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? Our company website is the centerpiece of our brand — the public source of truth about Fin's products and the number one driver of leads for our demand generation team. Fin.ai sits at the intersection of awareness, product marketing, demand, and support , requiring robust, performant, and reliable infrastructure as much as polished user-facing interfaces. We’re looking for a Senior Full Stack Engineer to join Team Web , who is passionate about crafting intuitive front-end experiences and building the backend systems and tools that power them. You’ll play a key role in shaping the future of our website across the full stack, from UI to infrastructure, while collaborating with product marketers, designers, and engineers across the business. See the teams most recent work here What will I be doing? Design, build, and maintain end-to-end web solutions — from modern UIs to backend services, APIs, and infrastructure. Collaborate with design, brand, marketing, and conten

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments. Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale. About the Role As a Senior Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that pus

About the Team The Technical Support Team at SevenRooms is part of DoorDash’s broader Customer Experience and Support Ops organization. We partner directly with hospitality operators around the world to deliver best-in-class customer support. Our mission is to ensure that when things go wrong—or when guidance is needed—there’s always someone knowledgeable, strategic, and empathetic ready to help. Whether it's troubleshooting technical issues, advising on product setup, or driving value from our platform, we work across chat, email, and phone to create seamless and impactful experiences. Ultimately, we’re here to ensure our merchants succeed while supporting a fast, reliable, and efficient support operation across a 24/7 model. Multiple Full-time Hourly Shifts Available. At least one weekend day availability is a must. About the Role In this role, you’ll work directly with hospitality operators across the globe to troubleshoot issues, instruct and teach product functionality, and strategize to maximize our customers’ Return of Investment. This role is imperative in advancing our mission to provide world class customer support to our clients. You’re excited about this opportunity because you will… Support Customers via Email, Phone and Chat. Promptly respond to customer inquiries through email and phone, resolving issues efficiently and with care. Provide Strategic Solutions. Help customers get the most out of the platform by delivering thoughtful, prescriptive setups tailored to their goals, showing both technical knowledge and strategic insight. Master the SevenRooms Platform . Build and maintain deep knowledge of the SevenRooms platform - both broadly and in the context of individual client needs. Document Resolutions . Record issue resolutions and steps taken, ensuring clear documentation across all client interactions. Prioritize with Impact in Mind. Evaluate and act on support requests based on the severity of customer impact, ensur

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 Software Engineers at Palantir build software at scale to transform how organizations around the world use data. In this role, you’ll have an opportunity to grow more quickly than you ever envisioned as you contribute high-quality code directly to Palantir Gotham: products that are deployed at some of the most important institutions across the government, defense and non-profit sectors. You'll create features used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might join a team that builds geospatial mapping tools for mission critical operations, or a component of the Gotham release infrastructure. We encourage communication and collaboration among teams to share context, skills, and experience, so you'll also have the opportunity to learn about other business areas. Core Responsibilities As a Software Engineer, you are involved throughout the product lifecycle - from idea generation, design, and prototyping, to execution and shipping, all while also being paired with a mentor dedicated to your growth and success. You'll collaborate closely with technical and non-technical counterparts to understand our customers' problems and build products that tackle them. One of the most effective ways to understand what our users need is to meet them. You may receive an opportunity to tour the assembly line at an auto-manufacturer or join a counter-terror analyst at their desk to really understand their mission and difficulties. SW