Research Communications Manager Jobs

About the Team The Statsig team is responsible for the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Teams across ChatGPT, Codex, model measurement, monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to introduce capabilities safely, measure their impact, and make high-confidence product decisions. About the Role As a Product Lead on the Statsig team, you will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, translate company-wide needs into durable capabilities, and help Statsig become a core part of OpenAI’s product development system. We’re looking for a product leader who combines strong product judgment, technical fluency, and deep analytical thinking. You should be comfortable navigating ambiguous customer needs, influencing teams across the company, and balancing rapid adoption with reliability, usability, and measurement quality. 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. Travel requirements should be confirmed with the recruiter before publishing. In this role, you will: Define the product vision, strategy, and roadmap for experimentation, feature management, dynamic configuration, rollout safety, and analytics. Partner with product, engineering, research, data, design, and infrastructure leaders to turn recurring launch and measurement needs into reusable platform capabilities. Develop a deep understanding of workflows across ChatGPT, Codex, model measurement, monetization, subscriptions, and developer products, then establish clear priorities across competing needs. Drive adoption by making sophisticated experimentation and analytics c

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Taiwan Hiring Day in Santa Clara Apply before Sep 15, 2026 to get shortlisted for Interview! Time & Location 🗓️ September 26 - 27, 2026 ⏱️ 09:30 – 16:00 (PDT/UTC-7) 📍 Santa Clara, California Event Detail This is a speed interview event held by Micron Taiwan and Cake Global, to provide you with the job opportunities at Micron Taiwan. Only shortlisted candidates will be invited to the interview on September 26 or 27. Take the next step in building your semiconductor career in Taiwan! This event is suitable for you if you: would like to work in Taiwan. (Relocation support is provided.) have a bachelor’s degree or higher in any science or engineering-related field. want to cultivate hands‑on experience with leading‑edge DRAM and EUV technologies Baseline digital fluency, with the ability to use AI-assisted tools to support research, analysis, content creation, problem-solving, or operational tasks relevant to the role . Application Process Apply before Sep 15, 2026 : Submit your application for review. Receive Notification: Select

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 is seeking a Senior Manager, Infrastructure Asset Accounting to join our Infrastructure Accounting team. In this role, you will own the accounting for Anthropic's infrastructure assets across their full lifecycle — from chips, memory, and networking components moving through the supply chain, to the racks, clusters, and data center buildouts underpinning our $50B+ investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You'll work closely with partners across Data Center Operations, Supply Chain, Finance, and Legal, apply deep technical accounting expertise under ASC 360 along with cost accounting judgment on components that behave like inventory, and help build the processes, controls, and systems that let this function scale. Responsibilities Own end-to-end accounting for Anthropic's infrastructure assets through their lifecycle — component cost accumulation, prepayments and deposits, construction-in-progress (CIP), transfer to fixed assets at deployment, and disposal Build and maintain detailed transaction flows that map how assets and costs move from purchase order through shipment, receipt, warehousing, integration, deployment, and in-service, and keep them current as sourcing models change Evaluate the accounting implicati

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We're looking for a Senior Manager, Product Design to lead the Admin & Enterprise Platform Admin is how firm leaders and innovation teams set up and run Harvey inside their organizations: workflow configuration, permissions and governance, and visibility into how the product is being used. These are the people who decide whether Harvey stays at an account, and Admin is where they see what they're getting from it. Enterprise Platform owns the context and knowledge layer every Harvey product builds from: document management integrations, Vault, connectors, and the research hub. A general model can reason about law, but it can't reach a firm's precedent or matter files that a lawyer would actually cite. It also can't be trusted with them by default, so this team owns

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We're looking for a Senior Manager, Product Design to lead the Admin & Enterprise Platform Admin is how firm leaders and innovation teams set up and run Harvey inside their organizations: workflow configuration, permissions and governance, and visibility into how the product is being used. These are the people who decide whether Harvey stays at an account, and Admin is where they see what they're getting from it. Enterprise Platform owns the context and knowledge layer every Harvey product builds from: document management integrations, Vault, connectors, and the research hub. A general model can reason about law, but it can't reach a firm's precedent or matter files that a lawyer would actually cite. It also can't be trusted with them by default, so this team owns

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About Us Marketing plays a key role in extending the journalistic legacy and mission of The Times into the future. Our job is to answer the question: “Why is quality journalism worth paying for?” We create award-winning marketing that builds awareness of our brand and affinity for the breadth of our journalistic offering. Above all, we strive to be timely, straightforward and relevant in our marketing — illustrating in new and creative ways how The New York Times can enrich the lives of our readers. About The Role In an ongoing effort to create new and elevated product experiences, we’re looking for a Senior Manager, UX Writing to concept, develop and execute UX writing across The New York Times portfolio, including our core news product and Games, Cooking, Wirecutter and The Athletic. You will write crisp, clear and engaging copy for customer journeys, partnering with product, design, marketing, engineering, research and editorial teams to create experiences that grow, engage and retain subscribers. You will also manage a small team of freelance UX writers, coordinating resources, assigning projects and developing practical standards and workflows. We're looking for candidates who can balance the clarity that UX copy demands with the personality and approachability of an engaging brand. We will look to you to help create solutions that inspire and excite others, then present them effectively and enthusiastically. This is a hybrid role based

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: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping cha

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 mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conv

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. What You’ll Do Build account strategies using company context, growth signals, financial workflows, and stakeholder priorities. Research and engage finance leaders through personalized phone, email, and multi-channel outreach. Qualify prospects through consultative discovery, connecting workflow challenges to business impact. Clearly explain how Ramp can help finance teams simplify spend management, reduce manual work, and gain visibility and control across financial operations. Handle objections with sound judgment and earn the right to a next conversation. Partner with Account Executives on account planning, sequencing, and opportunity creation. Use AI and other tools thoughtfully to strengthen research, prioritization, personalization, and workflow efficiency; validate outputs before using them. Maintain accurate prospect and activity data in Salesforce and use performance data to improve outreach quality. What You’ll Need Proven SDR/BDR, closing, or equivalent quota-carrying experience, with measurable evidence of attainment or overachievement.

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp’s Sales organization is looking for self-motivated teammates who are excited to learn the craft of outbound selling and help accelerate our growth. As an SMB Sales Development Representative, you will be an early point of contact for prospective customers by researching, engaging, and qualifying finance leaders at growing businesses. This is a foundational sales role for early-career talent. You will build prospecting, discovery, messaging, and account-prioritization skills through structured training, coaching, feedback, and repetition. What You’ll Do Source new sales opportunities through inbound qualification and outbound outreach. Research companies, prioritize accounts, and identify the right prospects to contact. Build thoughtful phone, email, and multi-channel campaigns that create relevant conversations with finance leaders. Qualify prospects through consultative discovery and uncover business challenges before positioning Ramp. Clearly explain how Ramp can help finance teams simplify spend management, reduce manual work,

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this team? The GPU Clusters team builds and operates the superclusters that train Cohere’s frontier models. We sit at the intersection of hardware, distributed systems, and AI research. We work with cloud providers, researchers, and other infrastructure teams on problems few companies get to take on. As an Engineering Manager, you’ll lead a team of engineers who care deeply about GPU infrastructure. You’ll set technical direction, grow people, and help the company scale a rapidly growing compute footprint. As an Engineering Manager, you will: Hire, mentor, and grow a team of GPU infrastructure engineers , including performance, career development, and technical guidance on hard infrastructure problems Own the technical roadmap for the fleet: how we deploy, operate, and scale Kubernetes clusters, including workload scheduling, hardware fault detection, and performance Partner with researchers and ML engineers so the training and inference stack works well on new GPU architectures Work with cross-functional stakeholders such as Capacity, Finance, Legal, Security, and other infrastructure teams on planning, cost, compliance, an

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Healthcare is complicated: people are anxious about their health, insurance coverage is obscure, and there’s uncertainty in finding the right type of care. Meanwhile, providers face thin margins, growing competition, and operational workflows that drown their staff in administrative burden. As a Principal UX Researcher, you'll immerse yourself deeply in understanding these problems, and own the research strategy for one of Zocdoc's two core user groups: the patients searching for care, or the practices delivering it. You'll report to the Director of Research and partner with Product, Design, Brand, Marketing, and Data Science leadership to proactively shape product strategy. You'll set the bar for high quality strategic quantitative and qualitative research that cuts across product teams and shapes the product roadmap. You'll identify unanswered research questions and unvalidated assumptions across the company, develop a clear POV on user needs, and use research insights to drive business objectives. Your work will span th

About Us Connected International, Inc. (Connected Cannabis Co.) is a leading vertically integrated cannabis company based in Sacramento and operating in California, Arizona, and Florida. With over 11 years experience, Connected specializes in breeding, growing, manufacturing, and distributing top-shelf cannabis through its state-of-the-art facilities and proprietary genetics. With over 250 employees across the United States, Connected maintains a strong presence in the industry across multiple markets. The company has recently expanded into Arizona and Florida with ambitious national expansion plans underway. Connected's mission has always been to breed, grow, and sell the best cannabis in the world, setting high standards for its products, people, and partners wherever we go. About the Job The Part-Time Inventory Control Specialist is responsible for the store’s day to day inventory tasks, which includes inventory counts, quality checks of incoming products, labeling and organization of inventory. They will also assist the Inventory Lead and Manager in verification of product counts and regulatory compliance standards upon deliveries. Ensure products are received within California Track and Trace system (METRC) and ERP system and have appropriate labels before making goods available for sale. What You Will Do Responsibilities include, but are not limited to: Responsible for the labeling and tagging, organizing, counting and quality checks for all new FGI received. Conduct weekly cycle counts and assist in investigating any discrepancies. Ensure all products entering inventory have gone through standard quality checks, for quantity verification, label verification and COA verification. Count, reconcile, and complete monthly inventory audits every month. Escalate any inventory and UID discrepancies to the Inventory Control Lead or Manager for quick resolution. Research inventory variances and adjustments as directed. Work with Inventor

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : At ZipRecruiter, we sit on a massive universe of data—over a billion archived job postings, tens of millions of dynamic job seekers, and billions of impressions, clicks, and application events. Connecting the right job seeker with the right employer in real time is a complex two-sided marketplace problem , where precision, scale, and latent intent prediction directly impact millions of lives. We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation Systems, you will be a core partner in shaping our multi-year ML roadmap, driving foundational algorithmic architecture, and translating complex machine learning research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers across the organization and establish best practices for how ML models are built, deployed, and evaluated at scale. Key Responsibilities & Strategic Impact Drive ML Strategy & Roadmap: Partner directly with Engineering and Product Leadership to define and execute the technical vision for core components in the marketplace, including but not limited to recommendation engines and matching alg