Content Specialist Jobs

About PostHog Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including: PostHog Code , the only AI devtool that understands your product, not just your codebase. A built-in data warehouse , so users can query product and customer data together using custom SQL insights. PostHog AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. We are: Product-led . More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. Default alive . Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on. Well-funded. We've raised more than $180m from some of the world's top investors. We're set up for a long, ambitious journey. We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible . Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not n

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. As a backend/AI engineer at Aircall, you will be working on developing scalable AI applications to be used by our 20,000+ customers. You will be a part of the AI Products Platform team, working on areas like agent context, agent infrastructure, MCP, agent memory etc. You will work closely with backend, front end and infrastructure engineers, as well as product and leadership teams. You will also participate in requirements analysis and design of these systems. 8+ years of experience in back-end develop

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity About Fern Fern is building the enterprise agent layer for APIs and is backed by Postman, giving us access to a platform used by more than 40 million developers and 98% of the Fortune 500. We operate with the focus, speed, and ownership of a startup while benefiting from Postman’s enterprise reach, distribution, and API ecosystem. As AI agents increasingly become the primary consumers of APIs, companies need more than traditional developer documentation. Agents require structured context, strongly typed interfaces, deterministic contracts, and reliable tools for discovering and executing API functionality. Fern helps enterprises make their APIs accessible to both developers and agents through four connected product surfaces: Documentation that organizes technical knowledge into structured, agent-readable context SDKs that provide strongly typed, production-ready interfaces across major programming languages CLI tooling that allows developers and agents to interact with APIs directly from their workflows MCP servers that give AI agents a standardized way to discover and use API capabilities About the Role As an Accou

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. Solution Engineer: Accelerate the AI Data Cloud 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 accounts 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 close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, 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 and bridging the gap between audiences when needed. YOUR IMPACT (IN THIS ROLE YOU WILL GET TO): Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers. Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation. Immerse yourself in the

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. Solution Engineer: Accelerate the AI Data Cloud 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 accounts 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 close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, 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 and bridging the gap between audiences when needed. YOUR IMPACT (IN THIS ROLE YOU WILL GET TO): Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers. Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation. Immerse yourself in the

About the Team DoorDash’s mission is to empower local economies. In the Applied AI srole, you will be at the absolute forefront of agentic technology, building sophisticated AI agents end-to-end to help businesses grow, create deeply personalized customer experiences, and optimize our global logistics system at an unprecedented scale. We have an applied AI lab at DoorDash, which is a team that is small, highly motivated, and focused on engineering excellence. This team is for builders who want to see their work directly impact millions of consumers, merchants, and dashers every day. We operate with a flat structure - everyone is expected to be hands-on and contribute directly to the mission. Initiative and consistent delivery are how people grow and lead here. About the Role You'll work directly with our cofounder with direct ownership over the direction of AI research at DoorDash. In this role, you will build sophisticated AI agents end-to-end and develop robust evaluation methods to measure and improve agent performance. You will design systems and algorithms to enhance capability, as well as collect and curate human and synthetic data to optimize the behavior of these agent systems. This is hands-on work with immediate product impact at real-world scale. You're excited about this opportunity because you will… Work directly with leadership and see your research deployed at real-world scale - small team, massive reach. Move fast without bureaucracy - rapid iteration, high autonomy, and no layers of politics. Have access to global data scale, robust compute, and a platform primed for AI transformation. Shape how AI transforms commerce, building intelligent and adaptive experiences for millions of Consumers, Merchants, and Dashers. We're excited about you because you have… Experience with the latest AI tools building AI products Familiarity with building agent solutions, including context management, defining evals, measuring performance Shipped a production AI

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for an experienced Executive Assistant to support our Head of Engineering. This is a highly operational role that goes well beyond calendar management. You’ll own the day-to-day operating rhythm of the Engineering organization, ensuring leaders are prepared, priorities stay coordinated, and critical meetings, communications, and follow-ups happen seamlessly. You’ll partner closely with senior engineering leaders and serve as a trusted point of coordination for employees, customers, candidates, and external partners. Success in this role comes from exceptional organization, judgment, attention to detail, and the ability to keep many moving pieces aligned in a fast-growing environment. RESPONSIBILITIES Own complex calendar management for the Head of Engineering, balancing shifting priorities while ensuring time is allocated intentionally Ensure leaders are prepared for every day and every meeting by proactively managing agendas, materials, context, logistics, and follow-ups so time is used effectively and decisions move forward Support forward-looking calendar planning, coordinating recurring operating cadences including roadmap planning, leadership meetings, P0 reviews, Engineering All Hands, and other cross-functional forums Own the operational cadence of the Engineering organization, including weekly leadership meetings, monthly Show & Tells, Engineering All Hands, roadmap planning, and other

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Law Enforcement Liaison (Mississippi), you’ll develop and advance strategic law enforcement and safety relationships with special focus on law enforcement, while also supporting internal platform safety efforts that elevate the Roblox safety ecosystem. The ideal candidate will be a versatile, self-driven, team-player who enjoys context-switching across high-profile initiatives, and is uniquely motivated by Roblox’s mission of connecting a billion people with optimism and civility. From serving as an external representative of Roblox with state and local law enforcement agencies, to collaborating cross-functionally with our Legal & Advocacy, Civility, Safety, Product, and Communications teams (among others), you will have a diverse set of responsibilities in furtherance of assisting law enforcement, educating external stakeholders such as parents and educators on digital safety, and ultimately helping keep users safe on Roblox. This position is remotely based in Mississippi and will report to the Senior Manager of US Public Policy. Please note: This role requires On-Call support during weekends and holidays, and is expected to include frequent travel. The scope may also require revi

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training

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 Sentry provides developer-first observability to over 4 million developers worldwide. The Events Analytics Platform (EAP) team is at the heart of that mission: it powers how all of Sentry's event data, such as errors, transactions, spans, profiles, replays, and metrics, is stored, queried, and analyzed. It also powers Sentry's latest AI push, Seer. The EAP team makes it possible for developers to efficiently search and debug across massive volumes of data, providing the context needed to understand and fix issues quickly. This team is also a cornerstone of Sentry's long-term strategy to become a context assembly and telemetry platform that unifies different signals so developers can see the complete picture. As an engineering manager on the EAP team, you will lead a group of engineers building and scaling one of Sentry's most critical data platforms. You will be responsible for driving architectural evolution, ensuring system stability, and mentoring a talented team. This is a highly visible leadership role with direct ties to Sentry's long-term product and platform strategy. What you'll do Grow and develop a team of engineers with high expectations for ownership and impact Set the technical and strategic direction for the team, balancing short-term stability with long-term architectural evolution Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage Ensure EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities fo

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. We are looking for a Senior 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 close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database 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 prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. Collabor

The Field CTO is the most senior technical voice in the field. Here's the version we're hiring for. The Field CTO sits a level above the Solution Architect. Where the SA leads the technical strategy on complex deals, the Field CTO owns the technical narrative across the territory, shapes how the market understands Sigma's architecture, and carries the credibility to win the room when the CTO, CDO, and CISO are all in it. This person does everything a senior SA does, then operates a tier higher: as a peer to enterprise executives, a force multiplier across the entire Solution Engineering team, and a direct line back into Product and Engineering. Three things sit at the center of this role. The Field CTO does all three at the highest level, with the architectural depth and executive presence to back it up. 1. Use AI every day, and set the standard for how the team uses it. The Field CTO treats AI tooling as default infrastructure and raises the bar for everyone else. You run Claude, ChatGPT, Cursor, or equivalents to compress account prep, architecture design, prototype builds, RFP responses, and discovery synthesis from weeks into days. You bring a clear point of view on what to run, why, and where it breaks. You don't just use these tools well. You teach the SE and SA teams how to use them better, and you build the workflows the rest of the field adopts. 2. Sell AI into the account at the executive level. Buyers want to talk about agents, MCP, A2A, context engineering, and which model powers what. You're fluent, and you can take that conversation to the most senior technical buyer in the building. You know Sigma's AI surface cold: Sigma Assistant in build, analyze, and plan modes, AI functions, input tables with LLM enrichment, MCP integration, Sigma agents, and warehouse agents. You architect these into a customer's stack, defend the tradeoffs to a head of data and a CISO in the same call, and frame the long-term AI strategy for a CTO who's deciding w

Location : Ghent, Belgium/ Bucharest, Romania, hybrid model 2 days on-site About the position We're looking for a Principal Cloud Engineer to join our platform enablement team and help shape the infrastructure foundation that our engineering organisation builds on. This role is suited for someone who has worked in a modern, mature SaaS engineering culture — where autonomous product teams own their own AWS accounts, infrastructure, and CI/CD pipelines, and the platform team's job is to enable them to do that well. You will provide architectural guidance, guardrails, and best practices that help teams move fast without breaking things. This is not a central DevOps role — we don't operate infrastructure on behalf of other teams. We build the rails they run on. If you've spent your career in an enablement or platform engineering function at a SaaS company with autonomous teams and a multi-account AWS environment , this role was written for you. Key Responsibilities Design, implement, and evolve core AWS infrastructure to support the accelerated expansion of our platform capabilities across a multi-account, multi-environment organisation. Own and advance our AWS CDK (TypeScript) standards — you are the expert other teams come to for guidance, code reviews, and architectural decisions on IaC. Provide architectural guidance, guardrails, and reusable patterns that enable autonomous product teams to build and operate their own cloud infrastructure safely and efficiently. Diagnose, troubleshoot, and resolve complex infrastructure and platform issues, including reverse-engineering problems when documentation or context is limited. Help maintain reliable operational support, including participation in on-call and escalation rotations . Partner closely with engineering teams to share context, unblock work, and raise the infrastructure quality bar across the organisation. Support knowledge transfer and continuity in a complex, fast-moving operational environmen

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. We are looking for a Senior 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 close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database 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 prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. Collabor

Principal Product Manager - Agentic Investigation & Reliability Experiences Sumo Logic is hiring a Principal Product Manager to lead how engineers and operators investigate incidents, understand reliability risk, and act on their operational and security telemetry. The observability category was built around collecting telemetry and giving people tools to navigate it: dashboards, queries, monitors, traces, and alerts. Customer expectations are now shifting. Teams don't just want more dashboards; they want help getting from a signal to a resolution, understanding what's broken, why, what's impacted, and what to do next. As AI agents move into production operations, this role owns how Sumo Logic brings intelligent, agent-assisted investigation and reliability workflows to customers, grounded in evidence, context, and enterprise governance. This is a senior, high-ownership role. It requires genuine observability domain background. You should have lived in this space and understand how monitoring, troubleshooting, and reliability actually work, combined with the ambition to define a new category of experience on top of it. What You Will Own The current data experiences. Log Search, Live Tail, query and query optimization, Metrics Search, Tracing, Dashboards, and the data-experience UI. This is a live, revenue-generating product with real customers, and keeping it strong is part of the job. You own its health, roadmap, and competitiveness today while steering it toward an AI-native future, focusing new investment where it strengthens investigation, speed, and value for both new and power users. The reliability and alerting surface. Monitors, Alerts, SLOs, Scheduled Searches, and the reliability workflows around them. You will own alerting accuracy, noise reduction, and operational health signals both as capabilities customers depend on today and as the foundation for more automated, agent-assisted detection and investigation. The agentic investigation experience. You