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Location: San Francisco, California Workplace: Hybrid 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 TEAM The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. ABOUT THE ROLE As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale.   - You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. - You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. - You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. YOU'LL LOVE THIS JOB IF YOU - Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed systems. - Thrive on constraints that force elegant design: financial accuracy is non-negotiable, customer trust depends on billing transparency, and the system must scale with Sentry's user and product growth without rearchitecting every year. - Enjoy partnering across the organization—from BizOps and sales to marketing and leadership—where your code directly impacts ARR and your architectural decisions show up in board-level metrics. TO THRIVE IN THIS ROLE, YOU HAVE - Built or significantly improved systems with high-stakes accuracy requirements. - Mentored engineers through ambiguous, high-stakes projects. - Operated services where reliability includes uptime and also financial correctness. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $215,000 to $400,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Worldwide Minerva Project | Fully remote, worldwide Annual compensation: US$100,000–$125,000, depending on experience. Nurturing critical wisdom for the sake of the world Why should you join Minerva? The salary and benefits are competitive; the people you’ll work with are authentic, thoughtful, driven, and human; but the reason we chose Minerva is our strong belief in the company’s mission: if we want to change the world, it’s imperative that we improve education everywhere. As our first step to achieving that goal, we built Minerva University from the ground up, refining and improving every aspect of a traditional university. Minerva University boasts an unbiased admissions process , seminars instead of lectures , and a global experience over 4 years ; and has been named the most innovative university in the world - three times . Now, we are expanding our reach and impact by partnering with emerging and established higher education institutions around the world. Our methodology, which emphasizes active class participation, deliberate practice, and other empirically-proven methods, is enabled by Minerva Forum. Built to address the central educational challenges of the modern era, Minerva Forum embodies the leading research on the science of learning to enable the rapid development of sophisticated, durable skills-based programs. The role We're looking for a senior product manager who can turn user needs, partner requirements and business goals into clear product decisions, then work with design and engineering to get the right changes shipped. You'll own the problem, priority, scope and success measures for your product work. You'll get close enough to the details to make useful tradeoffs, while keeping the team focused on the outcome we're trying to achieve. This is a hands-on individual contributor role in a small team, with substantial responsibility for moving work forward independently. What you'll do Decide what to work on and why. Bring together user research, support patterns, partner feedback and business priorities. Make a clear case for the problems worth solving now and the work that can wait. Own scope and sequence. Define goals, non-goals, acceptance criteria and dependencies. Work with engineering on capacity and feasibility, and keep the roadmap realistic when priorities compete. Connect product, design and engineering. Give designers the context and constraints they need, evaluate options together, and resolve product questions as implementation progresses. Keep decisions and their reasoning clear enough for people to work asynchronously. Make success measurable. Define useful measures such as adoption, task completion, failure rates or support load. Agree with engineering on the tracking needed before release, check that the data is usable, and use what we learn to decide what happens next. Manage stakeholder needs and commitments. Understand the needs of partners, academic teams, support and leadership, including integration, privacy and operational constraints. Make conflicting priorities visible and communicate changes early. Work directly with partners when needed to understand product needs, and coordinate with Support and account management on issues, expectations and follow-through. Carry work through release. Help test important workflows, prioritize defects and decide whether remaining gaps affect release readiness. Decide who needs to know about a change, when, and how it should be explained to customers. Work with the people closest to the product and its users to make launch communication and documentation accurate. Follow up after launch. Look at actual use and feedback, identify where the result differs from the intention, and turn that into concrete product improvements. What you'll bring Experience independently owning software product work from problem definition through launch and follow-up, with clear examples of decisions you made and what happened as a result. Sound judgment about prioritization and scope. You can explain what you chose not to build, what evidence informed the choice, and when you changed your mind. Experience working closely with designers and engineers on products with complex workflows, multiple user roles or competing stakeholder needs. Comfort reasoning with data, asking what a metric really tells us, and making decisions when the available evidence is incomplete. Strong writing and clear communication with both technical and nontechnical people. You can make a complicated product decision understandable without hiding the tradeoffs. The ability to organize your own work, surface risks early and close open questions in a distributed team. An interest in education and the patience to understand how learners, educators and administrators actually use software. Experience in education or education technology—including teaching—as well as work with institutional customers, learning-platform integrations or product analytics, is a plus. Show us the relevant work and judgment you've developed; a specific degree or tool background isn't the focus of this search. Working together This position is fully remote. We welcome candidates anywhere in the world who can maintain regular working-hour overlap with the team. We'll confirm the required window early in the process. You'll work closely with product and technology leadership, design, engineering and partner-facing colleagues. You'll have room to make decisions within an agreed area of responsibility, with leadership involved in company priorities and commitments beyond that scope. What to share Please share your resume or profile and a brief example of a product decision you owned: the problem, the options you considered, your choice and what you learned after shipping. Existing work or an anonymized summary is welcome. Salary: $100,000 – $125,000 / year

Location: Los Angeles, USA; Mercer Island, USA; Redwood City, USA Riot’s Anti-Cheat team is versatile and passionate about our craft. We understand the player impact of cheating in games and are focused on setting the highest bar for the integrity of multiplayer games. We relish the opportunity to work with new tech stacks and bring security to all of Riot's games; each with its own security risk profile and complex challenges. At the most fundamental level, our goal is to promote the best player experience by protecting the legitimacy of their favorite games. As an Anti-Cheat Engineering Manager for Mobile Vanguard,  you will lead the team responsible for the ongoing development and evolution of Vanguard Anti-Cheat’s services on mobile. You’ll help set direction, shape priorities, and ensure the team delivers secure, reliable capabilities across Vanguard’s mobile suite in a timely manner. While your primary focus will be enabling the team and driving outcomes, your strong fluency in mobile security and cheat techniques will allow you to guide architecture, challenge technical decisions, and step directly into complex debugging or investigations when needed. You’ll help the team anticipate and analyze emerging cheat techniques, then translate those findings into effective detections, mitigations, and preventative controls. You will report to the Senior Engineering Manager of the Anti-Cheat  team. Responsibilities: Manage, identify, recruit, interview, and hire engineers to help the team scale effectively Set direction and drive high-impact anti-cheat capabilities from ambiguity through production to prevent cheating in mobile and console environments Lead the team in rapidly translating emerging threats into resilient detections and preventative countermeasures that can be safely deployed at scale Balance immediate threat response with proactive technical investments that anticipate adversaries’ next moves or eliminate common abuse vectors entirely Partner with game teams across genres to understand their specific security needs and help shape the security landscape Promote secure coding standards and design that reduce vectors for cheating Keep up-to-date with the state of cheats and cheating techniques across mobile titles Support game teams directly in understanding cheating ecosystems and integrating Anti-Cheat Required Qualifications: Minimum 4+ years of industry experience Familiarity or experience with Android and/or iOS platform security models Deep technical understanding of mobile platforms (Android/iOS) Experience building and deploying mobile native (C/C++) SDKs and/or frameworks Desired Qualifications: Experience with Android and/or iOS build tools (Android SDK/NDK, Xcode, LLVM) Familiarity with Android & iOS executable formats, reverse engineering, or binary exploitation Experience with mobile reverse engineering tools (Frida, IDA Pro, Radare2, etc) Experience with Gen9 Console (Xbox Series XS and/or PS5) development a plus Experience with macOS platform and security features a plus For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant Independent Contractor – T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant/Technical VA/Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A veteran-owned small business is seeking an experienced GoHighLevel Technical Virtual Assistant to manage, improve, and maintain GHL systems supporting several digital businesses. The client already has approximately two years of experience using GoHighLevel and has existing websites, workflows, integrations, and systems in place. The immediate need is for someone with strong hands-on GHL expertise who can take the client's direction and independently execute the technical setup within the platform. The VA will primarily work on GHL workflows, automations, pipelines, integrations, and website management while helping ensure the client's connected systems continue operating correctly. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: GHL Workflows & Automation Build, edit, test, and maintain GoHighLevel workflows Create and manage pipelines and opportunity stages Configure automation triggers, actions, and follow-up sequences Troubleshoot workflows that are not functioning as intended Test automations before implementation Monitor existing workflows and make necessary improvements Help ensure contacts entering GHL trigger the correct automated processes GHL System & Integration Support Maintain and organize existing GHL accounts and assets Support integrations between GHL and the client's other applications Test incoming data and automation triggers Troubleshoot basic integration or data-flow issues Assist with forms, contact management, email templates, and other GHL functionality Recommend practical improvements based on GHL capabilities Website Management Maintain and update websites built using GoHighLevel Edit pages, content, forms, links, and other website elements Create or modify basic GHL website pages as needed Ensure website forms and other elements connect properly to GHL workflows Troubleshoot basic website issues within the GHL environment Technical & Project Support Manage assigned tasks through ClickUp Document completed changes and technical configurations Communicate clearly regarding technical limitations or recommended solutions Test completed work before marking tasks complete Assist with ongoing GHL monitoring and maintenance as needed Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Hands-on GoHighLevel experience required/ expert Experience building GHL workflows and automations required Experience creating and managing GHL pipelines required Experience with GHL websites, forms, and related assets strongly preferred Experience troubleshooting GHL workflows and integrations strongly preferred Experience with CRM integrations and data flows preferred Strong technical troubleshooting skills Strong attention to detail Ability to communicate technical information clearly ClickUp experience preferred IDEAL CANDIDATE PROFILE Highly proficient in GoHighLevel Strong understanding of workflows, automations, and pipelines Able to take a business requirement and translate it into a functional GHL setup Comfortable troubleshooting existing configurations Technically minded and detail-oriented Able to work independently without extensive micromanagement Comfortable making practical recommendations within GHL Strong problem-solving and testing habits Organized when managing multiple technical tasks APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED GoHighLevel – Required ClickUp – Preferred Google Workspace CRM / Integration Tools AI Tools – Familiarity Preferred Work Schedule Contracted Hours per Week: 10 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time:  Flexible – TBD Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Technical VA REQUESTED EXPERIENCE TIER LEVEL: Senior Level Contracted Hours per Week: 10 hours/week Daily Working Time:  Flexible – TBD Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-C (Strong English Communication Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes. Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility. Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation. Why This Role Is Important to Arcadia Customer Insights takes on the work that doesn't fit a one-size-fits-all product — custom data models, bespoke dashboards, registries, and long-running embedded programs — sitting between a platform and a plan.  This role is the first at Arcadia dedicated to Medicaid policy analysis, and it sits on one of our most visible accounts: a state Medicaid agency that is taking direct responsibility for a much larger fee-for-service population. A broader Arcadia team already serves the agency in a variety of ways — risk stratification, dashboards and reporting, quality measurement, and analytics on the state's Medicaid member and claims data — and that relationship is growing. You will work alongside that team and take the lead on the policy-driven analytic work: interpreting program rules and policy documents into analytic logic, and building the registries, data marts, and dashboards that put it to use.  That takes a rare combination: policy fluency to tell a customer what the data can and cannot support, customer presence to be trusted in the room with state program staff and partners, and the technical skill to build the deliverables yourself. We are looking for someone who can ramp on all three quickly. Just as important, this work moves at a pace that is only possible with AI-assisted development: you will be expected to pick up our AI coding and analysis tools quickly and use them heavily from your first weeks, with careful human review.  What Success Looks Like In 3 months Get productive quickly with the team's AI-assisted workflow — using AI coding and analysis tools to ramp into the state program's eligibility, claims, and provider data, the program rules and policy context behind it, and the analytic logic and deliverables already in production Join customer and partner working sessions and begin contributing in the room — answering, in real time, what a proposed definition, threshold, or policy change does to the data and the member population Independently deliver your first piece of work end to end — a stratification or registry refinement, a data mart component, or a dashboard — with your own policy interpretation and QA behind it In 6 months What You'll Be Doing Medicaid policy analysis Interpret state and federal Medicaid program rules, eligibility and aid-code structures, benefit and coverage design, and program guidance — translating them into precise, testable analytic logic (cohort definitions, code sets, exclusions, stratification criteria) and documenting the interpretation so decisions are auditable Advise senior customer leadership on what the data can and cannot support — whether a proposed definition is measurable, what the volumes look like, what a threshold does to caseload, cost, or provider capacity — and anticipate how policy changes (fee-for-service transitions, waivers, provider network rules) affect the data and the questions ahead Technical analytical delivery Turn ambiguous policy and operational questions into member and provider data marts, cohort and stratification logic, and registry extracts — in SQL (and Python where needed) on Foundry and Redshift/Athena Deliver them in the format the customer needs — dashboards, recurring reports, Excel, and leadership decks Root-cause data-quality issues — reconcile counts across sources, trace bad fields to the source, and agree definitions for undocumented fields and codes with the customer's data staff Customer presence and engagement Serve as the senior analytic voice for state program leadership, policy and data staff, prime contractors, and vendor partners — participating in recurring working sessions and translating between policy, operational, and technical audiences Set priorities, scope, and timelines with Customer Management, and hold real authority to push back on what is and isn't feasible or worth building Create client-facing materials — leadership summaries, detailed methodology decks, decision memos, technical explainers — tailored to audiences from highly technical data counterparts to policy and executive stakeholders What You'll Need To Have Working knowledge of how health programs and managed care plans work, and the ability to turn policy documents and program rules into analytic logic. Direct Medicaid or managed care plan experience is a plus Clinical code and claims fluency — ICD-10, CPT/HCPCS, and revenue codes to build clinical cohorts; claims, eligibility, and provider/NPI data (NPPES, enrollment files); and judgment about claims timing and completeness Hands-on, demonstrable fluency with AI coding and analysis tools (Claude Code, Cursor, or similar) as the core of how you work. Picking these tools up quickly and using them heavily is central to how you will onboard and how much you can deliver in this role. Be ready to show us what you have built with AI assistance, how fast you turn work around, and how you review and validate it Advanced SQL (CTEs, window functions, performance on large claims and eligibility tables) and data modeling, to a real engineering standard Hands-on experience building dashboards and reports in a BI tool (QuickSight, Power BI, Tableau) and Excel, plus executive-ready decks Direct customer-facing experience with senior stakeholders — comfortable scoping ambiguous requests, navigating competing priorities, and exercising sound analytical judgment about what to build and what the data can support, on short timelines and without close oversight A track record of leading an analytic program end to end for senior customer or executive audiences — setting your own priorities, and operating without a project manager or close direction Sound judgment with sensitive data and PHI What “Principal” means here This is the most senior analytic role on the Customer Insights team. It is expected that you can: Set your own priorities and make the call with incomplete information Act as the senior analytic voice with agency and partner leadership Raise the bar for the analysts around you — through standards, review, and example Don't need a project manager or close direction We are hiring for the combination of policy fluency, customer presence, and technical skill — we understand candidates may be strongest in one or two of these areas and will build the rest quickly, and speed of ramp matters more to us than any one credential. Tell us where you are strongest and how you have ramped before. Would Love For You To Have Direct experience with a state Medicaid agency, a Medicaid-serving prime contractor or consultancy, or a Medicaid managed care plan — California Medi-Cal experience is a real plus Familiarity with population health concepts: risk stratification, registries, care management, network adequacy, and access and equity analysis Experience with Python and dbt; familiarity with the AWS ecosystem and its analytics tools (e.g., Athena, Redshift, QuickSight); comfort with orchestration tooling, Jira, Confluence, and GitHub-based workflows Experience mentoring less experienced analysts Note: this list spans skills relevant to several facets of the role — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive Compensation, Amazing Benefits including Unlimited FTO The opportunity to: Be the senior analytic and policy voice on a high-visibility state Medicaid program serving millions of members, at a pivotal moment for the program Build the practice — the methodology standards, playbooks, and data assets a growing team will inherit — on problems where analytic choices directly shape which members get reached and how care is delivered and funded About Arcadia  Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, verify it by calling us directly at (781) 202-3600 and selecting option 3. You can find more information at Arcadia Careers. In this role, you are responsible for following all security policies and procedures to protect all PHI under Arcadia's custodianship, as well as Arcadia intellectual property. For security-specific roles, the hiring manager defines any additional responsibilities. Arcadia does not discriminate based on race, color, sex (including pregnancy and related conditions, sexual orientation, or transgender status), national origin, religion, age (40 and older), equal pay, disability or genetic information (including family medical history or genetic tests or services), and retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding.

Location: Remote-Washington, D.C. Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? UiPath is seeking an exceptional Sr. Manager of Customer Success to lead and scale our Customer Success Managers and Technical Account Managers operations across the Federal Civilian accounts. This is a high-impact leadership role for someone who thrives on building teams, driving portfolio performance, and serving as a strategic partner across Sales, Product, and Go-To-Market organizations. As a Sr. Manager of Customer Success, you will own portfolio performance, proactively reduce systematic risk end-to-end, and build high-performing teams that deliver measurable outcomes for our most strategic government customers. You'll drive operational rigor and discipline across delivery while modeling leadership presence and culture that demonstrates extreme ownership and execution. What you'll do at UiPath Portfolio & Performance Leadership · Own and drive portfolio-level performance metrics including renewals, expansion, adoption, and customer health · Proactively identify and reduce systematic risk across the customer lifecycle · Operate with data-driven rigor using forecasting, probabilities, and path-to-plan analysis · Tie customer adoption directly to measurable revenue impact and business outcomes · Player-Coach: will be responsible for owning success for marquee accounts Strategic Partnership · Serve as a strategic partner across Sales, Product, and Go-To-Market teams · Build and maintain established cross-functional influence across the organization · Collaborate on deal construction and commercial activity · Drive alignment between customer success strategies and broader GTM initiatives Team Leadership & Development · Build and scale high-performing Customer Success and Technical Account Managers · Provide strong interpersonal coaching and mentorship to team members · Model unwavering accountability and ownership culture · Establish and communicate "what good looks like" across the organization · Champion customer- and team-oriented culture Operational Excellence · Drive operational rigor and discipline across service delivery · Establish and maintain key operational standards for the business · Transform individual execution into broader packaged plays and new standards · Ensure consistent and articulate communication across all stakeholders What you'll bring to the team Required Qualifications: · Previous experience with formal people management and team leadership · Candidates must be authorized to work in the United States for this role · Proven track record in broad portfolio impact including renewals, saves, and adoption metrics · Experience with deal construction and commercial activity · Established cross-functional influence across Sales, Product, and GTM organizations · Strong interpersonal, coaching, and mentorship skills · Entrepreneurial mindset with tenacious execution capabilities · Articulate and consistent communication style · Customer- and team-oriented approach with ability to champion culture Preferred Qualifications: · Deep exposure to public sector business landscapes · Understanding and usage of key industry solutions embedded in GTM strategy · Established relationships across marquee accounts · Examples of transforming individual execution into broader packaged plays or new organizational standards · Demonstrated ability to identify and establish operational excellence benchmarks · Experience operating in complex, highly technical renewal deal cycles Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Key responsibilities Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in Guide customers through security reviews, verification for security use cases, and procurement Teach the Account Executives in your business unit to spot and qualify security opportunities Bring what you hear from security teams back to our product, safeguards and marketing teams Minimum qualifications Experience selling or supporting the sale of cybersecurity products or services to enterprise customers Deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security Ability to hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done A consultative approach to selling: you understand the problem before you propose anything, and you're honest about what a product can't do A commitment to making AI systems safe and beneficial Preferred qualifications 5 or more years in sales or other customer-facing roles, including 3 or more years selling or supporting cybersecurity products or services for enterprise customers Experience closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver Experience as a specialist alongside account teams while carrying your own number, and the ability to say exactly what you did to win the deal Experience building pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts A record of leading through influence, not authority: Account Executives bring you into their accounts because you help them win Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience selling AI, developer or data platform products to technical buyers Hands-on experience as a security practitioner or sales engineer before moving into sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Virginia Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Lead the Way at LG's Newest Plant: Production Team Lead, Windsor, VA Great teams aren't managed. They're led by people who show up for them. LG Electronics is opening a brand-new manufacturing plant in Windsor, Virginia, and we're looking for Production Team Leads who lead from the line, lift up the people around them, and want to help build something from the ground up. How We Lead Here People first, always. Our leaders serve their teams. You'll make sure every person has the training, tools, and support they need to succeed, and that everyone goes home safe at the end of every shift. Integrity in everything. We do what we say, we build it right the first time, and we speak up when something isn't right. Honesty earns trust, and trust builds great teams. Teamwork without walls. We learn from each other and create our own traditions, together. Every voice matters. The best ideas often come from the people closest to the work. You'll help your team share theirs and turn good ideas into real improvements. What You'll Do You'll lead a team assembling commercial chillers, coaching and developing your team members while working hands-on at any station on the line. You'll champion safety, take pride in quality, keep production running smoothly, and be the go-to partner connecting your team with engineering, quality, and maintenance. Why This Is Different This isn't stepping into someone else's playbook. As one of our first leaders, you'll help shape the culture, routines, and standards of a world-class plant from day one, with the backing of a global leader in innovation. What You Bring 3+ years of manufacturing or assembly experience 1+ years of demonstrated experience of leading a team successfully achieving goals A passion for safety, quality, and helping others grow Strong communication skills and a team-first mindset Comfort with hands-on equipment setup and troubleshooting Experience with lean tools (5S, kaizen, standard work) is a plus What We Offer Full benefits listed below- premiums are free! First shift, M-F Real growth opportunities with LG Ready to lead with purpose? Apply today and help us build the future in Windsor. *** Pay Range is based on experience *** Recruiting Range $23 — $28 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: United States (Remote) Workplace: Remote About the Role The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics. Ultimately, your goal is to make it possible for every Temporal employee to produce first-class analyses. You will work across multiple business domains, including Product, GTM, Finance, and Engineering to deeply understand their needs and build solutions that enable both people and agents to reliably answer their analytical questions. You will architect and implement the data layer that sits between our landed source data and our various user interfaces via canonical entities, shared dimensions, metric definitions, data marts, etc. That includes making core concepts such as accounts, namespaces, activation, billable usage, and revenue consistent wherever they are used. You will take direct ownership of work that is currently distributed across the Data Engineering and Analytics team, including data modeling, data mart and Omni Topic creation, and enablement. Along with helping to align our business logic across marts and dashboards, you will create clear technical governance and controls as you work to empower stakeholders across the business. You will work closely with Data Platform and Trust on orchestration, deployment, observability, access controls, performance, reliability, and cost. You will partner with Data Science and Applied AI on feature tables, model outputs, model consumption, and monitoring. You will work with business functions on source system hygiene, prioritization of tasks, and validating business meaning of shared metrics. The ideal candidate possesses strong SQL skills, sound business acumen, and deep expertise in building semantic products gained through years of experience across different tools, modeling frameworks, and subject areas. The candidate is comfortable with ambiguous business questions, knows when to build a reusable data product vs modify an existing one, and how to deliver practical solutions in keeping with an overall governance framework and strategy. You will be hands-on writing code, tests, documentation, and performing technical reviews. What You’ll Do - Build and maintain reusable analytical data products across Temporal's business domains. - Define canonical entities, shared dimensions, purpose-built marts, metric components, explicit grains, keys, lineage, and history behavior. - Design and maintain core parts of the Omni semantic layer and certified Topics, with clear definitions for measures, dimensions, joins, and time handling. - Establish and improve standards for modeling, metric implementation, documentation, and change management. Build automated checks for freshness, completeness, uniqueness, and relationships between datasets, and make failures visible to the teams that own them. - Reduce duplicated or conflicting logic across source tables, marts, Omni workbooks, dashboards, notebooks, and analytical agents. - Partner with Data Platform and Trust on deployment, orchestration, observability, access controls, performance, cost, and production reliability. - Partner with Data Science and Applied AI on feature tables, prediction outputs, model consumption, and monitoring. - Work with domain partners and senior stakeholders to turn ambiguous questions into precise definitions, reusable models, and trusted ways for teams to answer follow-up questions themselves. - Help qualified contributors outside Data Engineering and Analytics create tables, models, notebooks, and workbooks through controlled sandboxes, templates, automated checks, review, and promotion into shared-use environments. - Make important data products understandable and usable for people and analytical agents through documented contracts, metadata, ownership, quality status, and retrieval guidance. - Contribute to architecture decisions, design reviews, code reviews, and coaching while remaining hands on in SQL/code, modeling, testing, and documentation. What You’ll Focus on First - During your first several months, you will help the team: - Document ownership of the core Analytics Products portfolio and identify high-risk duplicated or conflicting metric logic. - Publish the initial canonical entity and mart architecture, including clear standards for grain, keys, history, lineage, and quality controls. - Launch governed contribution templates, automated checks, and a review and promotion process for qualified contributors outside DEA. - Create a practical certification and retirement process for metrics, Topics, dashboards, and shared data products. - Deliver an initial version of one agreed priority data product, such as a revenue, PLG, or account-level model. What You’ll Bring - Advanced SQL experience, including the ability to reason about correctness, performance, and maintainability. - Working proficiency in Python to build and maintain jobs that create and alter tables in the data lake. - Experience with data transformation frameworks such as DBT, SQLMesh, etc - Data mart design experience using modeling techniques such as dimensional and entity centric modeling. - Experience implementing and maintaining a semantic layer or governed metrics. - Advanced knowledge of grain, keys, history, lineage, contracts, and quality controls. - Git, review, automated tests, CI/CD, and production ownership. - Translating ambiguous questions into reusable products. - Improving self-service while maintaining shared definitions. - Working with senior business and technical stakeholders. Helpful Experience - S3, Athena, Iceberg, Hive, or another open lakehouse architecture. - Hands-on experience with Omni Analytics, Looker, or a comparable semantic layer. - Experience orchestration systems. - Usage-based B2B SaaS, cloud infrastructure, developer tools, or consumption-based revenue. - Building governed contribution programs. - Designing metadata or semantic products for analytics agents.   Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote) Workplace: Remote About the Role The Data Scientist, Product Growth and Experimentation will help drive decision making in support of our Product Led Growth function. This role sits at the intersection of Data, Product, Growth, and GTM. You will work deeply embedded within the Product and Engineering teams focused on PLG. Your focus will be illuminating the user journey from initial interest to fully adopted and all the steps in between. You will surface friction points in the onboarding process and identify behaviors that are indicative of successful adoption. You will evaluate interventions that help us to bring the value of Temporal to more users. You will work effectively across both large data, clean data sets and data sets with constraints in duration and sample size to provide well-informed recommendations and conclusions. You will bring deep knowledge and practical experience with statistical methods including matched comparisons, quasi-experimental methods, and uncertainty measurements to help overcome these constraints. The ideal candidate possesses strong analytical judgment and practical product sense. Ambiguous business questions do not intimidate you. You have a keen sense for when additional data or analysis could materially change a conclusion, and when it wouldn’t. You apply analytical rigor while balancing what is functionally required to advance a project. Your aim is to drive better decisions and faster learning through measurable customer outcomes. WHAT YOU’LL DO - Act as an embedded Data partner to Product, Design, and Engineering, helping shape strategy, product proposals, and experiments from the earliest stages. - Build analytical frameworks across the full PLG journey from acquisition and activation through engagement, adoption, expansion, monetization, and durability - Use funnel, cohort, journey, and sequence analysis to identify friction and opportunities for improvement. - Identify the behaviors and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success, and translate them into leading indicators for successful or stalled accounts. - Analyze feature discovery and adoption patterns to recommend interventions that increase successful adoption and expansion. - Design and evaluate experiments and product changes, using matched comparisons, pre/post-intervention analysis, causal methods, and other appropriate techniques when conventional A/B testing is not practical. - Clearly distinguish observed results from assumptions, quantify uncertainty, and explain the confidence behind each conclusion. - Help prioritize growth opportunities based on potential impact, confidence, effort, and measurement feasibility. - Build reusable datasets, metrics, dashboards, and analytical tools that reduce ad hoc work and make insights accessible to Product, Marketing, Sales, and leadership. - Partner with Engineering and Data Engineering to improve event instrumentation, data quality, and the analytical models required for reliable product analysis. - Communicate findings through clear visualizations, written narratives, and practical recommendations for technical and non-technical audiences. WHAT YOU’LL FOCUS ON FIRST During your first several months, you will help the team: - Audit signals currently captured in the onboarding flow and recommend new instrumentation as needed - Establish reporting and repeatable analysis for PLG experiments. - Analyze user behavior after the first successful Activity or Workflow. - Identify signals of production readiness and common points where users stall. - Map feature-adoption paths across important product areas. WHAT YOU’LL BRING - A strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis. - Experience using product, behavioral, or event data to improve activation, engagement, retention, conversion, or expansion. - Experience working with small samples, noisy signals, imperfect control groups, or environments where standard A/B testing is not always possible. - Strong judgment in choosing methods that fit the decision, available data, and level of uncertainty. - Proficiency in SQL and Python for analysis, modeling, and automation. - Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and supervised or unsupervised machine-learning methods. - Ability to prototype quickly in notebooks and convert recurring analyses into reliable data products, models, or workflows. - Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake. - Familiarity with cloud and object-store technologies such as AWS S3. - Experience building dashboards and reusable analytical assets in a modern business intelligence platform. - Comfort working with evolving definitions, incomplete instrumentation, and trade-offs between analytical precision and decision usefulness. - A results-oriented mindset and a record of translating analysis into product or business action. - Strong communication skills, including the ability to explain methods, uncertainty, and recommendations in plain language. - Curiosity about developer platforms, cloud infrastructure, usage-based products, and how customers adopt technically complex products. - A collaborative approach and the ability to work effectively with Product, Engineering, Marketing, Sales, Finance, and Data partners. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: San Francisco, CA | New York City, NY 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 As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points Manage voice-actor reads and QA spots before they air Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas Track pacing across buys and shift budget as performance data comes in Present results and learnings back to the team on a regular basis Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget Have managed podcast programs in-house directly, not only through an agency Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy Work well across many partner teams and can build repeatable processes that scale Enjoy shaping a program from the ground up rather than maintaining an existing playbook Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience negotiating year-long or multi-format partnerships with top shows or networks A background in copywriting or close collaboration with creative teams on host-read scripts Familiarity with B2B audiences and enterprise-focused podcast buys Experience with podcast measurement, attribution, and incrementality testing Relationships with major audio publishers, networks, and independent hosts Experience extending podcast partnerships into video, social, or live formats Familiarity with AI products or the broader developer and knowledge worker audience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, US Role Overview We are looking for an experienced Senior Azure DevOps Engineer who will partner up with our product and technology teams to design and develop processes and systems that enhance our Azure cloud environment in areas like monitoring, optimization, automation, data maintenance, and security tooling to make us more scalable, more secure, and help us deliver more real-time systems for our users. If you are experienced with Azure networking (i.e. VNet, Subnets, NSGs, and ASGs) and CI/CD then you’re the right candidate. A Day in the Life You’ll get to work with a tech stack that includes Azure Core Services, Azure App service, Kubernetes, API Management Gateway, Azure Functions, Docker, Linux, Windows, PostgreSQL, MS SQL Server, PowerShell, Python, GitHub, JIRA & Confluence Build and manage infrastructure using automation tools such as Terraform Provide day-to-day operational support of our applications on Azure Work closely with development teams to integrate their projects into the production and test Azure environments and ensure their ongoing support Be a DevOps champion working closely with other internal teams to lead efforts on security, reliability, and scalability into the development lifecycle Provide input on design and Azure-related considerations / options Gain functional knowledge of the applications you support Dive deep into the product stack to troubleshoot as needed Build engineering automation and productivity tools to streamline and scale applications in the production environment Troubleshoot and resolve application development, deployments and operations issues Architect and implement reliable infrastructure services on Azure, from the ground up, to deliver highly scalable services Serve in an on-call rotation as an escalation contact for critical production issues Role Progression Within 1 month, you'll: Learn about our business, our Azure environment, and how we work. You will be working hands-on with our technology and getting to know your teammates. Within 3 months, you’ll: Work with our development teams to stand up our technology stack and looking for opportunities to make improvements. You will have several technologies or products that you are becoming responsible for. You will help diagnose and resolve operational issues in our systems. Within 6 months, you’ll: Be looking to the future across our technologies and crafting the strategic roadmap when it comes to architecture, operations, and capabilities. You will continue to develop your Azure toolbelt with relative technology certifications and education and to inform the development of team members. About you You hold a BS in Computer Science, Software Engineering or equivalent, or a Bachelor’s in an unrelated field with at least 5 years of professional experience You have 5+ years of experience in DevOps with 3+ years using Azure core services (Azure Virtual Machines, Azure Virtual Network, Azure Load Balancer, Azure Blob Storage, Azure Bicep/ARM templates, Azure SQL Database, Azure App Service, Azure API Management, etc.) Experience installing, configuring, and managing database platforms and Azure-managed database services, including Azure SQL Database, Azure Database for PostgreSQL, Microsoft SQL Server, and MongoDB Atlas Demonstrated expertise in using configuration management tools such as Terraform, Azure Bicep and Azure Resource Manager (ARM) templates You have a strong understanding of Azure billing and cost modelling Experience with build & release automation tools and methodologies. Experience with TeamCity is a plus Ability to design, deploy, monitor and manage Kubernetes based systems You are familiar with the concepts of microservice architecture and how those concepts are implemented in Azure You champion Infrastructure as Code mentality and can take the lead in transformation from manual “hands-on” in Azure to Infrastructure as Code You have very strong scripting and automation skills – you believe you can automate just about everything You know how to use AI tools to vet ideas, validate work, and help automate tasks You strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry Hands-on experience with troubleshooting, securing, and improving manually configured Azure environments Experience with Application Performance Monitoring (APM) and log aggregation at scale. Experience supporting application development teams who work in an iterative-based development environment using Agile/Scrum/Kanban You have an appreciation for pragmatism and simplicity in systems architecture Background in working with multi-cloud operations between AWS and Azure preferred Current and relevant Azure cloud certifications preferred Successful candidates will be required to complete and pass a CLEAR™ identity verification as part of the pre-employment screening process. CLEAR™ Candidate FAQ CLEAR™ Candidate FAQ The annual base salary range for this exempt position is $140,000–$155,000 and reflects the midpoint through maximum of the established range for this role . Encoura establishes compensation using national market data, internal equity considerations, and organizational budget factors to ensure fairness and consistency across the organization. Certain roles may also be eligible for variable compensation in addition to base salary. Employees in this role are eligible for Encoura’s comprehensive benefits package, which includes health insurance, retirement contributions, paid time off, and other programs that support employee well‑being. About  Us Encoura’s mission is to empower students and institutions to create meaningful connections so everyone can make the most informed decisions to achieve their goals. Since 1972, the Company has evolved its products and services to better represent the link between students and higher education institutions and to create the highest probability of student success. Encoura’s expertise now spans enrollment, research, marketing, student success, and advancement and provides an unmatched combination of higher education experience and innovative solutions for colleges and universities. The Company also offers Encourage® — the nation’s largest free college and career planning program used by millions of high school students and educators nationwide. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. All applicants must be eligible to work in the U.S. Encoura endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability and need an alternative method for applying, please contact the Talent Team. Applicants from California, please review the CA HR Privacy Notice . To review our privacy policy, please click this link: https://encoura.org/privacy-policy/

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As one of Notion’s founding Demo Engineers, you’ll build the global demo engine behind how we bring Notion’s most important customer stories to life. You’ll shape the standards, systems, and experiences that help our Sales teams demonstrate what is possible with Notion, from the first customer conversation through implementation and deployment. This is a high-impact opportunity to create the function from the ground up. You’ll establish global standards, turn our strongest customer solutions into repeatable demos, and give regional teams the tools and autonomy to innovate. Your work will directly influence how customers understand Notion’s platform, AI capabilities, and potential to transform how their organizations work. This role reports to the Global Head of Acquisition and partners closely with Sales, Forward Deployed Engineering (FDE), Enablement, and PMM.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Build the global demo engine that brings Notion’s most important customer stories to life - Partner with Enablement and PMM to define the core narratives, scripts, environments, and assets for each demo - Create a durable release and versioning process so demos stay current as the product evolves - Automate repeatable setup and maintenance wherever possible so the system can scale globally - Turn Notion’s strongest customer and internal solutions into reusable GTM assets - Identify high-impact use cases and transform them into repeatable, field-ready demos - Partner with FDE to package customer solutions, implementation guidance, and technical patterns into demos the field can confidently deliver - Work with GTM Systems to translate demos into workspaces that can be deployed in customer environments - Set the global standard for demo quality and help the field deliver it - Define what great looks like for each demo moment, from the first customer conversation to a tailored technical experience - Train and coach customer-facing teams on storytelling, environment setup, delivery, and troubleshooting - Partner with Enablement to create practical resources and programs that raise demo quality across regions - Create a clear path from experimentation to global scale - Give customer-facing teams a structured way to safely build, test, and pilot new demo concepts - Evaluate the strongest ideas and turn them into scalable standards, templates, and reusable assets - Serve as the strategic demo partner for high-impact opportunities - Advise teams on custom or personalized demos that fall outside the standard portfolio - Help teams balance customer relevance, technical credibility, and speed without compromising quality SKILLS YOU'LL NEED TO BRING: - 5+ years in a technical or customer-facing role such as Solutions Engineering, Sales Engineering, Demo Engineering, Solutions Architecture, or Software Engineering - Experience designing and delivering technical demos, prototypes, or solution experiences for a SaaS product - Strong systems thinking, with experience building scalable standards, templates, documentation, versioning practices, and operating processes - Ability to translate complex product capabilities into clear, compelling customer stories tied to business value - Technical fluency across APIs, integrations, automation, data, permissions, and enterprise security concepts - Working proficiency with scripting or automation tools such as Python or JavaScript - Experience partnering across Sales, Product, Engineering, Enablement, and Marketing to drive alignment and deliver shared outcomes - Strong communication and coaching skills, with the ability to raise the capabilities of customer-facing teams - Comfort creating structure, setting priorities, and making progress in a fast-moving environment with evolving requirements NICE TO HAVES: - Experience building or scaling a demo engineering, solutions engineering, or technical enablement function - Experience with enterprise sales cycles and complex, multi-stakeholder customer environments - Hands-on experience with demo automation platforms such as Consensus, Navattic, Reprise, Storylane, or Demostack - Experience supporting major product launches or global go-to-market programs - Familiarity with AI coding tools such as Claude Code, Codex, or Cursor - Experience with productivity, collaboration, AI, or horizontal SaaS products - Notion power user TOOLS YOU'LL USE: - Demo environments: Notion, plus demo automation platforms as needed - Collaboration: Slack, Salesforce, Gong for call review - Automation: Zapier, scripting tools, API clients (Postman or similar) - AI Coding Tools: Claude Code, Codex, Cursor Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $220,000 - $250,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Hiring Locations: Austin, US, San Francisco, CA, Seattle, WA, Washington DC, US About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Operations, the Hardware Integration group acts as the bridge between engineering designs and physical deployment, overseeing key third-party manufacturing partnerships, hardware quality, and supply chain logistics to keep our expanding footprint running seamlessly. Role Summary As a Rack Integration Operations Engineer , you will serve as a technical quality gatekeeper and operational partner across Cloudflare's hardware build programs. Working collaboratively within the Infrastructure Engineering and Strategy teams, you will bridge the gap between engineering specifications and external contract manufacturing partners. In this role, you will ensure Bill of Materials (BOM) accuracy, optimize materials planning, track partner performance, and actively modernise internal operations by building light, AI-enabled automations to streamline repetitive workflows. Key Responsibilities Engineering & Quality Review Ensure BOM Accuracy: Review and validate complex BOMs prior to release to integration partners, proactively identifying part substitutions, spec mismatches, and potential build blockers. Bridge Engineering & Production: Partner closely with hardware design engineers to resolve design change requests (DCRs) and BOM discrepancies throughout the build lifecycle. Maintain Technical Quality Standards: Leverage functional expertise across rack-level power, networking, server, and firmware architectures to evaluate build compliance against Cloudflare specifications. Materials & Logistics Operations Support Materials Planning: Contribute to demand forecasting and materials planning for rack build programs, aligning partner capacity with component lead times. Coordinate Supply Chain Logistics: Oversee inbound and outbound logistics for components and finished racks between partners and Cloudflare sites through to final shipment. Partner & Program Management Drive Partner Execution: Serve as an operational point of contact for external hardware integration partners regarding build progress, scheduling, and issue resolution. Track SLAs & Quality Metrics: Contribute to vendor scorecards and KPI tracking across build quality, on-time delivery, and cost efficiency; lead root-cause analyses for recurring defects. Maintain Program Visibility: Track hardware build cycles in Jira, leading documentation, status check-ins, and project closeouts alongside cross-functional teammates. AI Innovation & Process Automation Automate Operational Workflows: Identify manual, repetitive tasks across BOM reviews, reporting, and partner tracking, using AI tools and LLM prompt engineering to streamline processes. Analyze Performance Data: Evaluate spend, build timelines, and quality trends using AI-assisted analysis tools to surface actionable operational insights. Build Shared Tooling: Develop, document, and maintain sustainable, lightweight automation scripts and workflows for adoption across the broader team. Qualifications Requirements Vendor & Manufacturing Experience: Professional background managing hardware vendor or contract manufacturing (EMS/ODM) relationships, including BOM validation, quality tracking, and schedule management. Hardware & BOM Proficiency: Practical ability to evaluate rack-level technical specifications (power distribution, networking, server hardware, firmware) to ensure manufacturing compliance. Program Management Discipline: Hands-on experience managing operational workflows in Jira, with a track record of tracking and reporting on team KPIs and SLAs. Applied AI & Automation Skills: Practical experience using AI tools or LLMs to automate concrete workflows, optimize reporting, or perform data analysis. Cross-Functional Collaboration: Strong written and verbal communication skills, with a track record of working effectively across engineering, procurement, supply chain, and external partner teams. Desirable / Bonus Qualifications Background in data center infrastructure hardware (servers, network switches, rPDUs, enterprise cabling). Experience writing lightweight scripts (Python, Google Apps Script, or similar) paired with AI developer tools. Familiarity with global hardware supply chain and logistics operations. Experience with Oracle ERP Cloud (e.g., SCM, Procurement, Inventory Management) or comparable ERP platforms such as SAP or NetSuite, particularly for BOM management, purchase orders, and materials tracking. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $110,000 - $151,000 For New York, Washington DC, Seattle based hires: Estimated annual salary of $104,000 - $143,000 For Austin Texas based hires: Estimated annual salary of $116,000 - $128,000 What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York 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 Harvey’s products sit at the intersection of frontier AI, sensitive customer data, and critical business workflows. Our customers trust us to protect their information in an always-accelerating threat ecosystem, and security is how we foremost earn and keep our customers’ trust. We’re hiring an experienced Incident Response Handler to drive and ultimately lead incident response for security events. You will command incidents, coordinate containment, and enforce that real fixes are implemented, preventing recurrence. You’ll join a small, highly technical security team early in standing up a dedicated Detection & Response function, with real latitude to define how Harvey does incident response for years to come. Like the rest of Harvey’s security team, our program is built on offensive security experience - most engineers come from red-team, pentesting, or incident-response backgrounds, and we bring an attacker’s mindset to detection and response. This is an individual contributor role for someone who has operated in mature security organizations at leading technology companies and wants to help define incident response at one of the most important AI companies in the world. WHAT YOU'LL DO - Build strong relationships with key employees across the organization - Participate in security incidents, leading investigations across cloud infrastructure, identity systems, corporate environments, and our AI platforms. - Use, maintain, and contribute to an internally developed agentic SOC, fine tuned to Harvey’s threat environment - Work cross functionally across technical and operational orgs, ensuring the right PRs ship and best policies are enforced - Contribute to Harvey’s Detection & Response roadmap, including metrics, SLAs, threat modeling, and tabletop exercises for our most critical business risks. - Work across teams to ensure incident follow ups are meaningfully closed - Mentor engineers and incident responders, build playbooks and operational standards, and raise the security bar across the company. WHAT YOU HAVE - 3+ years of experience in Incident Response, Detection & Response, Security Operations, Threat Detection, or related security engineering disciplines. - Experience participating in investigations and response efforts for complex security incidents in cloud-native environments. - Deep understanding of attacker tactics, techniques, and procedures (MITRE ATT&CK and modern threat actor tradecraft). - Experience with one or more major cloud platforms (AWS, GCP, Azure), plus strong knowledge of operating systems, networking, and identity systems. - Experience building security automation and tooling, with strong scripting or software engineering skills in Python, Go, or similar languages. - Experience communicating incident status and risk to senior leadership. COMPENSATION $133,600 - $200,400 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-ES2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco 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 Harvey’s products sit at the intersection of frontier AI, sensitive customer data, and critical business workflows. Our customers trust us to protect their information in an always-accelerating threat ecosystem, and security is how we foremost earn and keep our customers’ trust. We’re hiring an experienced Incident Response Handler to drive and ultimately lead incident response for security events. You will command incidents, coordinate containment, and enforce that real fixes are implemented, preventing recurrence. You’ll join a small, highly technical security team early in standing up a dedicated Detection & Response function, with real latitude to define how Harvey does incident response for years to come. Like the rest of Harvey’s security team, our program is built on offensive security experience - most engineers come from red-team, pentesting, or incident-response backgrounds, and we bring an attacker’s mindset to detection and response. This is an individual contributor role for someone who has operated in mature security organizations at leading technology companies and wants to help define incident response at one of the most important AI companies in the world. WHAT YOU'LL DO - Build strong relationships with key employees across the organization - Participate in security incidents, leading investigations across cloud infrastructure, identity systems, corporate environments, and our AI platforms. - Use, maintain, and contribute to an internally developed agentic SOC, fine tuned to Harvey’s threat environment - Work cross functionally across technical and operational orgs, ensuring the right PRs ship and best policies are enforced - Contribute to Harvey’s Detection & Response roadmap, including metrics, SLAs, threat modeling, and tabletop exercises for our most critical business risks. - Work across teams to ensure incident follow ups are meaningfully closed - Mentor engineers and incident responders, build playbooks and operational standards, and raise the security bar across the company. WHAT YOU HAVE - 3+ years of experience in Incident Response, Detection & Response, Security Operations, Threat Detection, or related security engineering disciplines. - Experience participating in investigations and response efforts for complex security incidents in cloud-native environments. - Deep understanding of attacker tactics, techniques, and procedures (MITRE ATT&CK and modern threat actor tradecraft). - Experience with one or more major cloud platforms (AWS, GCP, Azure), plus strong knowledge of operating systems, networking, and identity systems. - Experience building security automation and tooling, with strong scripting or software engineering skills in Python, Go, or similar languages. - Experience communicating incident status and risk to senior leadership. COMPENSATION $133,600 - $200,400 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-ES2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. About the Role As the Engineering Manager for Governance & Access, you will lead the team responsible for building the security, governance, and access capabilities that let Render's customers manage teams, permissions, and environments with confidence as they scale. You'll design these capabilities for a world where agents, not just humans, operate on Render, turning emerging agentic use cases into simple, reusable platform primitives across identity, authorization, credentials, and delegation. The problems span traditional IAM and emerging agent infrastructure, which is what distinguishes this role from a typical security or IAM job. You'll shape the team's structure as much as its roadmap. You'll also join at a formative moment: the team is small, the architectural foundations are still being defined, and the systems you build will become primitives used across millions of users. What You’ll Do - Lead and grow the Governance & Access team - Own the roadmap for governance, identity and access management, roles and permissions, and related compliance and security capabilities - Define how these capabilities extend to agents operating on Render, not only human users - Partner with the dedicated product and design partners already on the team to align roadmap with customer and platform needs - Build a strong hiring and interview process as the team scales, calibrating closely with recruiting and cross-functional partners - Make key technical and architectural decisions for access, identity, and governance systems - Coach and develop engineers, through performance management and career growth - Coordinate with the adjacent Security team and the rest of the Growth and Expansion org as the platform evolves - Balance security, usability, and speed, making pragmatic decisions about where strong guarantees are required and where the team can iterate What We’re Looking For - Strong people leadership - the top priority for this role - Comfort operating in ambiguity, with the flexibility to adapt and grow as the team's scope evolves - Experience building and scaling a team from an early stage - A track record of managing and developing engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience in security, governance, or access management (IAM, RBAC, compliance) - Exposure to building for AI agents or agentic systems - Experience managing senior (IC5-level) engineers - Background in developer platforms or B2B SaaS products This is an opportunity to help define what secure access looks like when software increasingly acts on behalf of people. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view