Systems And Solutions Engineer in United States

ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team owns the experiences that turn a single-player tool into a multiplayer habit: the loops that bring people back, help them find their work, and pull their colleagues into a mural. Mural's self-serve growth runs through these experiences, and engagement and retention are central to how the business grows. YOUR MISSION As Senior Product Manager, Growth & Engagement, you will own the end-to-end self-serve experience, from a user's first touch through activation, return usage, and conversion to paid. You will treat the full funnel as one system: acquisition, activation, engagement, retention, sharing, and monetization. You will run a high-tempo experimentation practice, partner deeply across Product, Engineering, Design, Data, Marketing, and Sales, and make the calls that turn occasional users into teams that rely on Mural every week. This is a role for someone who wants to own real growth outcomes, not just ship features. You will own the surfaces that decide whether Mural's self-serve engine grows. Engagement and retention here move the business directly, and you will own the full loop across growth and engagement rather than a narrow slice of it. You’ll have a rare end-to-end view of the funnel, from acquisition through in-product engagement. You will work alongside thoughtful product, design, and engineering partners who care about craft and impact. WHAT YOU'LL DO Own product strategy, roadmap, and execution for the self-serve growth and engagement experience, from first touch through activation and return usage Build and optimize the invite, sharing, and join experience Drive activation and retention by improving the moments that bring people back: home and dashboard, notifications, search, rooms and folders, comments, and more Partner closely with Marketing to connect acquisition and re-engagement with in-product activation across

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. The Mandate: Industry Disruption and 10x Scale: Vision: Product Foundry is Replit's internal engine for innovation . We move Replit beyond being a collaborative development environment to becoming the foundational operating system for the entire next generation of software, where AI Agents are the primary actors. The 10x Goal: Our purpose is to launch high-risk, full-stack 0→1 initiatives that define and establish entirely new, multi-billion-dollar product categories. We are seeking non-linear growth opportunities, fundamentally aiming to 10x Replit's value and addressable market by proving out unprecedented technical primitives and disruptive Go-To-Market strategies. The Audience: We build for the next generation of creators and high-leverage users and enterprises, equipping them with tools that enable them to build anything, anywhere . Candidates that do well here will certainly go on to build their own companies in the future! This is a high visibility role reporting to Execution Model: High-Agency Founding Teams Structure: We operate as a collective of in-house technical founders —not just specialized engineers. Initiatives are run by lean, autonomous squads built for velocity and maximum technical leverage. This model is centered around an Engineer DRI (Directly Responsible Individual) who maintains total ownership over the initiative's technical, product, and launch success, supported by fractional PM and Design resources. Cadence: We enforce rapid iteration and rapid market validation via 3-week sprints per initiative. This cadence forces fast deployment, immediate user feedback, and tight alignment with the internal betting table process, mirroring the intensity and speed of a lean startup. Required skills and

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. Roblox's engineering team is expanding rapidly, and we're looking for a seasoned engineering leader to help us scale our AI-powered creation platform and team. As a Senior Engineering Manager within the Creator Group, you will lead the Studio Assistant team — driving the strategy and execution of our agentic AI system that powers creation for millions of Roblox creators. Your team owns everything end-end from the user experience in Studio, to the infrastructure underneath backend by a single cloud-native architecture: one harness, one tool set, one eval framework. Your work will empower millions of creators to plan, generate, and ship content faster than ever before. At Roblox we move fast and ship code to production daily; your leadership will increase productivity by removing obstacles and keeping processes lean. You will identify and mitigate risk and make sure the technology outpaces our growth. Roblox teams are inclusive, helpful, and have a strong sense of ownership over the things they build. If you have a desire to grow and learn, you will fit right in with our highly-skilled and ever-expanding engineering team. You Are: Battle ready: You have experience defining architecture for AI

The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action – providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas. We're hiring a Staff Applied Scientist to define and guarantee the quality of this AI system at scale. "Good" isn't one number — it spans answer quality, tool-selection accuracy (critical given the growing catalog of data sources and visualizations), retrieval relevance, latency, token cost, and end-to-end agent success. The space is full of open questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when a user’s query can result in the agent making decisions against dozens of visualizations and data sources – both of which are growing month over month? How do you build a measurement system that catches regressions across all widget types and data sources (e.g., enforcing correct grouping, sorting, and time overrides), and is easy to use and extend by dozens of teams? If those are the problems you want to spend your time on, come build this with us. 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: Own the evaluation strategy for Dashboards, as well as sister teams within our organization. Define the metrics — offline and online, quality and cost, single-turn and multi-turn — that the team and the broader organization optimize against. Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, an

The Language Tools team enables ~1,500 Datadog developers to build, test, and package millions of lines of Go, Python, Java, Rust, and TypeScript in our backend monorepo. Our success is measured by their productivity and satisfaction. They use the tools that we develop and support several times a day, in both development and CI environments. We use the Bazel open source build system as a foundation. The team is growing rapidly, both with Datadog and as we absorb other repositories into the monorepo. As a senior software engineer on the team, you will own projects from start to finish, both greenfield and brownfield. You will gain first-hand understanding of what Datadog developers need, and inform our roadmap. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Invent build, test and packaging tools that are simpler and more reliable to use. Push performance and cost efficiency at scale, raising cache hit rates and cutting CI times and compute spend across millions of targets. Treat CI like SREs treat prod, making sure our pipelines are green and fast. Prepare, run, and finish complex migrations. Contribute back to the Bazel ecosystem, upstreaming fixes and shaping features we depend on. Who You Are: An expert in Bazel and/or one of the languages listed above. A well-rounded engineer. You must broadly understand the various types of software projects that are built, tested, and packaged with our tools. Both careful and fearless. The changes we make impact the velocity of hundreds of engineers. They are risky but necessary. User-focused. We help Datadog engineers to use the tools that we develop, and continuously improve their usability, so they don’t need our help the next time. Ideally, you have ex

Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. 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 Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets) Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions) Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops Define how observability data and business data come together to serve unique use cases Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs Work on the product pricing Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools Who you are 5+ years of experience

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. NOTE: This role is hybrid and will require the candidate to be based in San Francisco Bay area. The successful candidate will be expected to work from the San Francisco office at least 2-3 days per week. The Community You Will Join: Research has been part of Airbnb from the beginning, ever since Paul Graham told the Airbnb founders, "go to your users." As designers, the founders embraced this advice and got on a plane to meet with Airbnb hosts that very weekend. Since those early days, the value of research has been baked into Airbnb’s product culture. With over 5 million hosts and 2 billion global arrivals, payments are crucial to the experience. Every time a guest books or a host gets paid across 190 countries, they rely on a seamless system. When it works, it drives loyalty; when it fails, it costs bookings—making research in this space critical to our business and our mission of belonging. The Difference You Will Make: As a Staff UX Researcher on Payments, you will be the voice of this community. In this mixed-methods role, you will combine behavioral insights with quantitative data to navigate ambiguity and global complexity. By uncovering user-centered insights and leading cross-functional workshops, you will drive actionable product innovation and build confidence into every transaction—from a first-time guest in São Paulo to a Superhost in Seoul. A Typical Day: Own end-to-end guest payments research, effectively prioritize research across multiple workstreams, plan and execute both foundational and evaluative research that shapes strategy and sharpens payments product experiences. Bala

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community you will join: The Chief Business Officer (CBO) organization drives Airbnb's growth and expansion around the world — commercializing our new and existing businesses and executing our global strategy in the market. The Global Markets team sits within CBO and makes sure Airbnb is locally relevant everywhere we operate, helping regions plan and execute growth across supply, demand, and the surfaces our communities use. Local growth levers are one of the fastest-growing parts of that toolkit — guest incentives, host-funded promotions, engagement and CRM, country partnerships, and promotional merchandising. Over the past year we've taken these from pilots to scaled programs including incentives, host-funded promotions and promotional-merchandising. That momentum has outpaced our operating model — execution is spread across regional pods, central growth marketing, product, merchandising, and finance, with parallel roadmaps and no single source of truth. We're building a dedicated program management capability to bring it all together, and we want you at the center of it. The difference you will make: This role requires candidates to be based in San Francisco. This role is not expected to be eligible for relocation support. As the Program Operations Lead for Growth Levers, you own the operating system that turns our fast-growing portfolio of levers into coordinated, on-time execution. You bring incentives, host-funded promotions, engagement and CRM, partnerships, and merchandising onto one roadmap, one source of truth, and one operating rhythm — so that product, growth marketing, merchandising, finance,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our mission at Marketing Technology is to provide a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with our customers effectively. Every day, millions of Airbnb customers are reached via our streamlined platform over comprehensive marketing channels such as Email, Push, SMS, Google Ads, Facebook Ads etc. We deliver substantial business impact by enabling numerous stakeholders across the company, including Marketing (Brand and Performance), Guest, Host, Airbnb Org, Policy, and more. The Difference You Will Make: As a Senior Staff Software Engineer on the Content Platform team, you'll set the technical direction for the org's transformation into an AI-driven system that turns a marketing brief into a fully realized campaign in minutes, not months. You'll own the technical strategy across a complex, multi-team surface area spanning a CMS platform, no-code authoring tools, rendering infrastructure, and an emerging agentic layer, all operating at a scale where the content produced is consumed by millions of Airbnb users daily. You will partner with engineering leadership, product, design, and marketing stakeholders across the company to define multi-year technical strategy, resolve the org's hardest cross-team technical challenges, and raise the bar for engineering excellence across Marketing Technology. A Typical Day: As a Senior Staff Software Engineer on Content Platform, you will: Define and drive technical vision and strategy for the Content Platform org, ensuring architectural decisions scale across teams and ali

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. About the Role We’re looking for a Senior ABM Strategist to build and lead the operating model for OpenAI’s highest-priority enterprise accounts. You’ll translate commercial priorities into focused 1:1 and 1 account programs, align Marketing and Sales around shared account plans, and orchestrate buying-group engagement across channels. This is a hands-on builder role for someone who can define the strategy, establish the system, and work directly with cross-functional partners to move strategic accounts toward qualified pipeline and revenue. In this role, you will: Own the enterprise ABM strategy, including account selection, tiering, objectives, program architecture, investment decisions, and performance recommendations. Partner with Sales, SDR, and RevOps to build shared account plans, map buying groups, identify whitespace, define engagement plays, and establish clear follow-up ownership. Design and execute 1:1 and 1 programs across content, paid media, executive engagement, events and webinars, web experiences, outbound coordination, and other relevant channels. Use intent, product, firmographic, engagement, and seller signals to determine when and how to activate priority accounts. Translate account and buyer insights into personalization strategies, offers, messaging, and conte

About the Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-fac

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. The social team helps bring OpenAI’s work to people around the world, translating complex ideas into clear, accessible, and timely content and stories across platforms. The team supports OpenAI’s mission by helping people understand how to use AI in practical, meaningful ways, while clearly and authentically communicating our technology, values, and approach to safely building powerful AI. About the Role Do you want to be one of the people behind the @ChatGPT handle on Linkedin? We’re looking for a smart and accomplished Social Media Manager (IC) to drive and manage long-tail evergreen educational social content primarily around OpenAI products on Linkedin and YouTube from the @ChatGPT and @OpenAI accounts. This role sits at the intersection of AI, education, product storytelling, and social media. You'll help shape how people around the world understand and adopt one of the fastest-growing technologies in history. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week. In this role, you will Work closely with cross-functional teams to brief and create evergreen content related to OpenAI products like ChatGPT and Codex Craft and execute social strategy and content to encourage and sustain product adoption Partner with product, marketing, and creative teams to develop educational social content that helps people understand and adopt OpenAI products. Monitor and report on product usage trends and conversations across social Balance the requests of many teams while ensuring content goes out accurately and on time Synthesize and communicate complex topics in clear language tailored for different audiences You might thrive in this role if you 7+ years of professional experience in social

ROLE SUMMARY The primary purpose of this job role is to function as a member of the Sample Logistics (SL) operations within Pfizer Vaccine Research and Development (VRD). The incumbent will be responsible for receiving samples from global clinical/study trials according to approved protocols and processes. The individual will participate in all aspects of tracking and documenting the chain of custody of samples. The incumbent’s role will include sample receipt, documentation, storage, tracking, aliquoting, distribution to the testing labs, and sample disposal. The colleague will work in a team setting and will share roles and responsibilities as assigned by the team leader/manager. ROLE RESPONSIBILITIES The incumbent will be required to complete all processes as detailed in Sample Management’s Standard Operating Procedures. The colleague will perform job responsibilities in compliance with GXP and all other regulatory agency requirements. The candidate will receive samples from clinical trial sites and enter samples into an electronic database management system. Performs sample storage and retrieval using manual freezers and BiOS (automated freezer storage system). Performs manual sample aliquoting and aliquoting using the Hamilton robotic instrument. <span style="color:#

ROLE SUMMARY The Asset Lifecycle Management (ALM) Lead is responsible for the systematic tracking, installation, and removal of laboratory equipment throughout the entire lifecycle, from acquisition through deployment, maintenance, and final disposal. Operating within an R&D environment, this role facilitates asset preplanning, site assessments, and ensures all asset-related activities are documented, tracked, and compliant with regulatory standards. By optimizing equipment usage, managing inventory, coordinating maintenance, and driving process improvements, the ALM supports efficient and safe laboratory operations while controlling costs and enabling the lab for evolving technological requirements. This is to include but not be limited to supporting the regular updates and reconciliation of the Fixed Asset Registry (FAR) and physical inventory field activities. With input from both the customer equipment owner and the original equipment manufacturer (OEM), this role will develop the correct service program for assets within EAMS (Enterprise Asset Management System) or Pfizer’s Computerized Maintenance Management System (CMMS). Additionally, this position will be responsible for the documentation of asset maintenance activities within EAMS and support site EAMS administration requiring the review of training requirements and On the Job Training (OJT) for new resources requiring system access. The Asset Lifecycle Manager will also represent the site on various Global Workplace Experience (GWE) Communities of Practice or multi-site or global teams ensuring best practices and standards are being leveraged across the broader R&D portfolio. This position will foster and maintain working relationships with GWE, Preclinical & Translational Sciences (P&TS) Research and business operations team colleague and contractors to analyze needs, provide recommendations, and execute plans and options that ali