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Location: Remote - US About the Job: LaunchDarkly is seeking a Senior Benefits Manager to design, run, and continuously improve the health, wellness, and financial benefits programs that support our growing, distributed workforce. You will be the senior subject matter expert on benefits within People Operations, owning the strategy and delivery of our programs end to end, managing carrier and vendor relationships, and ensuring our offerings are competitive, compliant, and cost-effective. This is a senior individual contributor role. You will work independently on complex, ambiguous problems, influence decisions across People, Finance, Legal, and IT, and serve as a trusted advisor to the Chief People Officer and other senior leaders. You will not have direct reports, but you will guide and coach teammates and external partners through your expertise. We are looking for someone who pairs deep technical benefits knowledge with sound business judgment, a bias for operational excellence, and a genuine commitment to the employee experience. Responsibilities: Own the benefits strategy and roadmap, covering medical, dental, vision, life and disability, FSA/HSA, 401(k), leave of absence, mental health and wellness, and global/international offerings, and recommend changes backed by data and market benchmarking. Lead the annual benefits renewal and open enrollment cycle: plan design analysis, funding and cost modeling, carrier negotiation, communications, system configuration, and post-enrollment audits. Manage broker, carrier, PEO/EOR, and third-party administrator relationships, holding vendors accountable to service levels, pricing, and employee experience standards. Partner with Finance to forecast, budget, and report on benefits spend, and identify cost containment and plan optimization opportunities without compromising employee value. Ensure compliance with ACA, ERISA, HIPAA, COBRA, FMLA, state and local leave laws, and non-discrimination testing; own required filings, notices, and audits, partnering with Legal and outside counsel as needed. Administer and optimize benefits technology (HRIS, benefits administration platform, and carrier feeds), including integrations, data accuracy, and reconciliation of invoices and eligibility. Serve as the escalation point for complex employee benefits, leave, and accommodation cases, and coach People Operations teammates on resolution. Design and deliver clear, engaging benefits communications and education that help employees make informed choices. Evaluate benefits for new geographies and acquisitions, and support the integration of new employee populations. Build scalable processes, documentation, and metrics (participation, cost per employee, utilization, satisfaction) and report insights to People leadership. Stay current on regulatory changes, market trends, and emerging benefits solutions, and proactively bring recommendations to the team. Qualifications: 8+ years of progressive benefits experience, including significant ownership of renewals, open enrollment, and vendor management in a high-growth technology or similarly fast-paced environment. Deep working knowledge of US benefits regulations (ACA, ERISA, HIPAA, COBRA, FMLA, and state/local requirements) and of health plan funding models, including fully insured and self-funded arrangements. Demonstrated ability to analyze plan data, build cost models, and turn them into clear recommendations for senior stakeholders. Experience with benefits administration platforms and HRIS systems (for example, Workday, Rippling, or similar) and with managing carrier and eligibility integrations. Strong negotiation and vendor management skills, with a track record of improving cost, service, or employee outcomes. Excellent written and verbal communication, with the ability to explain complex topics simply to employees and executives alike. Proven ability to work independently, prioritize competing demands, and drive projects to completion with minimal oversight. High standards for accuracy, confidentiality, and sound judgment with sensitive employee information. Comfortable working with a highly distributed team across time zones. Nice to Have: Experience supporting benefits for a multi-country workforce or through M&A integration. Bachelor's degree in Human Resources, Business, Finance, or a related field. Professional certification such as CEBS, SHRM-CP/SCP, or PHR/SPHR. Experience with equity and broader total rewards programs. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 136,000 - $187,000 * Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 122,000 - $168,000 ** Zone 3: All other US locations - $ 116,000 - $159,000 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Italy Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in Italy, with a preference of Milan. Expect regular travel for customer onsites. Fluency in English and Italian and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Boston, MA; Remote-Friendly (Travel-Required) | 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 The Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions Work with Security on the contractor access model and on keeping Anthropic data off vendor devices Run data loss controls through Chrome Enterprise Premium Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you Have owned ChromeOS as a platform for a fleet of thousands of devices Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting Have automated ChromeOS policy through the Chrome Policy API or GAM Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams Have set up zero touch enrollment with resellers and shipped devices across several countries Have worked with Android device management and can hold your own in a mixed fleet Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience, including vendor partners View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles Have managed ChromeOS alongside macOS or mobile fleets Have used VDI or browser-based access to keep data off the device for outsourced teams Have supported BPO or vendor programs through fast growth into new regions Have built automated, progressive rollout systems with promotion gated on telemetry Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting ChromeOS management through the Google Admin console and Chrome Enterprise Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting Android Enterprise management (working knowledge) Querying live device state at fleet scale GitOps and CI for configuration management Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. 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: $325,000 — $360,000 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. 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: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make Growth at Incode owns the top of funnel - the pipeline that feeds every region's revenue number. This role exists to build the systems that generate it. You'll ship AI agents, automations, and workflows across the full top-of-funnel surface: outbound, inbound, lead qualification and routing, event and conference motions, account and competitive research. The work is grounded in live Salesforce, Supabase, and Outreach data and supports revenue teams across NAM, LATAM, and EMEA. The Growth AI Office - our multi-agent GTM operating system - is where it lives, and a fleet of these agents is already in daily production use. Today that fleet is built and maintained by a single engineer. You are the second builder. You'll design and ship new agents, harden the ones already running, and own the integration layer that connects them to the systems revenue actually runs on. This is not an internal-tools ticket queue and it is not research. It is applied engineering where the output is measured in qualified pipeline, meetings held, and hours returned to a 24-person revenue team. A note on the title: "Growth Engineer" means different things at different companies. Here it does not mean product-led growth or experimentation infrastructure - Incode sells to banks, fintechs, marketplaces, and governments, and there is no self-serve funnel to optimize. It means engineering applied to pipeline generation. You will write and deploy production Python and Node services, stand up MCP servers, and own your own CI/CD - not configure a no-code platform. If your strongest work is A/B test infrastructure and activation metrics, or enrichment waterfalls inside a vendor UI, this is the wrong role. If you are an engineer who chose revenue systems as your problem space, keep reading. What You’ll Own & Drive Top-of-Funnel Agent Development - Design, build, and ship production LLM agents that generate and qualify pipeline: scoped skills, explicit guardrails, human-in-the-loop checkpoints, and clean multi-agent handoffs. Take agents from concept to daily use by non-technical operators across outbound, inbound, and event motions. MCP & Integration Infrastructure - Build and operate the Model Context Protocol servers and clients that connect agents to Salesforce, Outreach, Supabase, ZoomInfo, Notion, and Slack. Own authentication, token scoping, pagination, rate limiting, and graceful failure - including for systems with no native integration path. Grounding & Evaluation - Keep agent output tied to real records, not plausible-sounding invention. Build schema-aware retrieval, reconciliation checks, eval harnesses, and regression tests so a prompt change never silently degrades a production agent. Workflow & Decision Automation - Implement routing, scoring, and trigger logic across automation platforms (n8n, Tines-class) and custom services: webhooks, scheduled jobs, event-driven pipelines. Internal Tooling & Reporting - Build the web apps, dashboards, and interactive reporting that put agent output in front of BDRs and leadership in a form they'll actually use. Documentation & Durability - Write the runbooks, skill specifications, and architecture docs that make the agent fleet maintainable by more than one person. Enable GTM operators to extend what you build without filing a ticket. The Qualities That Set You Apart Agent-Native Builder - You've shipped LLM-powered systems that real people depend on, and you know the difference between a demo and something that survives contact with messy production data. Integration Instinct - You default to connecting systems rather than replacing them, and you're comfortable building the middleware that vendors didn't. Evaluation Discipline - You treat prompts and agent skills as code: versioned, tested, measured. You can tell someone whether a change made an agent better, with evidence. Data Integrity First - Before you automate on top of a number, you check whether the number is trustworthy. You've been burned by a bad join and you don't intend to be again. GTM Fluency - You can read a pipeline report, hold a conversation about conversion rates, and design for how a seller actually behaves rather than how the org chart says they should. Ownership Under Ambiguity - You scope your own work from a business problem, ship something usable fast, and iterate. You operate like a founder with a unicorn's resources behind you. Handoff Mindset - You write so that the next person can run it. You measure success partly by how little you're needed for maintenance. Your Background Engineering foundation 4+ years professional software engineering 1+ year building and shipping LLM-powered applications or agents to production - used daily by people who are not engineers Strong Python and Node.js/TypeScript in production; React sufficient to build internal UI end to end At least one internal application you built start to finish: data model, backend, interface, auth, deployment, and the maintenance afterward CRM and revenue systems - required Hands-on experience with both Salesforce and HubSpot. We run both, and this role writes against both. We are not asking for admin certification - we are asking for working fluency: standard and custom objects, field-level behavior and validation, record ownership and sharing, REST and bulk APIs, and a clear sense of what breaks downstream when you change something upstream Sales engagement platform experience - Outreach, Salesloft, or Apollo: sequence and step models, prospect and mailing data structures, and API access patterns A realistic view of how revenue data degrades in practice: duplicates, stale ownership, unenforced picklists, half-migrated fields - and what that means for anything automated on top of it Bonus: enrichment and contact data providers (ZoomInfo, Clay, Lusha-class) at the API level rather than the UI level Databases and data work Production experience with Postgres or Supabase: schema design, migrations, indexing, query tuning, row-level security SQL fluency against a warehouse - Redshift, Snowflake, or BigQuery-class - including window functions and incremental models You have reconciled the same metric across two systems, found the delta, and explained it to a non-technical stakeholder Automation, end to end You have designed, built, deployed, monitored, and maintained automations in production - not just built them. You own the alerting and the failure modes for your own work Webhooks, queues, scheduled jobs, retries, idempotency, and backfills. You have debugged a job that silently stopped firing Automation platform experience (n8n, Tines, Zapier-class) and the judgment to know when to abandon the platform and write the service instead. We care more about the second half of that sentence Routing, scoring, and decision logic implemented as code with test coverage, not as a chain of conditional blocks nobody can read AI and agents Hands-on with MCP - servers, clients, custom endpoints - or an equivalent tool-calling and agent framework Production LLM API integration (Anthropic-class): structured output, tool definitions, context management, cost and latency tradeoffs Prompt and skill design treated as versioned artifacts, with some method for evaluating whether a change helped Deployment, integration, and security Cloud deployment ownership: AWS, containerized hosting, CI/CD (GitHub Actions); Terraform or another IaC tool a plus OAuth flows, token lifecycle and refresh, credential vaults, header auth, and least-privilege scope review on the integrations you build Nice to have Experience supporting a multi-region revenue team (NAM, LATAM, EMEA) and the data-residency questions that come with it Event and conference lead-capture tooling Notion and Slack API work Experience enabling non-technical teams on AI tooling - documentation, training, internal adoption The Work You've Done Before Come ready to walk us through two or three things you have built. The strongest candidates we have seen have shipped work like: An internal application a non-technical team now uses every day, where you owned it from data model to deployment A two-way integration between two systems that had no native connector, including how you handled auth, rate limits, and partial failure An agent or automation that replaced a recurring manual process, with a before-and-after number attached to it A data reconciliation between a CRM and a warehouse where the two disagreed and you determined which one was right Something you built, documented, and handed off - that someone else now runs without you We care more about what you shipped and what broke than about which tools were on the sticker. If your strongest work used a stack we did not list, tell us about it anyway. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We are looking for a leader to take on our workforce management systems and operations. This is more than a technology role. Serve as a trusted advisor to our HR leadership group, our centers of excellence and our business partners, turning business goals into system capability and service build. You will ask the questions that sharpen a request, give people a clear view of sequencing, effort and trade-offs, and help us move toward AI-enabled, automation-first ways of working. You will report to our Vice President of HR Planning, Analytics & Technology and lead senior business systems analysts, an HR operations manager with a specialist group, and an outsourced administration partner. A day in the life: HR platforms and delivery: Look after our HR systems estate, including SuccessFactors, Greenhouse and the applications around them, together with the integrations connecting them to Finance, IT and external providers. Build the multi-year technology roadmap with HR leadership and IT, and run the intake practices that decide what enters it. Guide systems projects from requirements through configuration, testing, cutover and adoption, then keep the platforms balanced in service once they are live. HR operations and service delivery: You will manage employee lifecycle transaction processing and the quality controls that keep our records accurate. You will also set and publish the measures the operation is judged on, from first-contact resolution to self-service adoption. Develop the service framework and the tiers within it, from self-service and first contact through to specialist handling, and the routing between them. Run one governed intake channel for employee questions, and decide with the team what stops, what is automated and what moves to our administration partner. Governance, security and information management: You will be responsible for how our HR data is protected and who can reach it, and for the governance standards behind configuration, workflows, integrations and security. You will work with People Analytics and enterprise analytics on our data platform and the sources that feed it. Build the security and access model, including role-based permissions, field-level restriction, access certification and segregation of duties. Meet our data-privacy and regional obligations with Legal and Information Security, and act as the HR contact for internal and external audits. AI enablement and automation: Set our HR technology AI strategy, with responsible adoption resting on governance, data readiness, privacy and human oversight.R Redesign fragmented processes into something simpler. Run a single pipeline for internal use cases and emerging HR technology, and report what our automation delivers in adoption, efficiency, quality and experience. Team and partners: Grow a team covering business systems analysis and an operations specialist group led by a first-line manager, and plan resourcing, capacity and budget across both. Develop the team’s capability in consultation, requirements and configuration, and hold the relationship with our outsourced administration and application management partners. What you'll bring: 8+ years experience across HR systems and HR operations. 5+ years managing people and experience leading through a first-line manager. Led a multi-application systems portfolio alongside a service delivery team, including its tier model, case management, and service measures. Demonstrate expertise in HR processes throughout the employee lifecycle, and you will have delivered globally, where requirements vary by region. Hands-on depth in SAP SuccessFactors, enough to specify requirements, evaluate configuration and work with an implementation partner, with strong familiarity in Employee Central and at least two other modules absolutely required. Experience with the security and access model for HR data, and with leading third-party implementation or managed-service partners to agreed service levels. Experience running project delivery alongside production support, and influencing senior leaders across HR, IT and Finance in plain language. Nice to have: Experience putting AI capability to work in an HR setting, with the guardrails that apply once AI touches employee data. Familiarity with agentic AI, enterprise AI platforms, intelligent automation or conversational assistants such as Microsoft Copilot helps, as does a background spanning people analytics as well as systems. SAP SuccessFactors certification in one or more modules, and experience of a platform migration or systems harmonization. Experience building governance models, technology intake processes, vendor assessments or innovation pipelines. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $195,600 — $313,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: San Francisco, CA | 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. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities Lead the revenue close for cloud service provider Marketplace within a listed company timeline. Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. Perform monthly and quarterly flux analysis and prepare flux decks for leadership. Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. Serve as the primary contact for external auditors. Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready. Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer. Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close. Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close. Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements. Estimate and document reserves, including credit loss (ASC 326). Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments. Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries. Own 3P SOX controls, including design, documentation, gap remediation and audit evidence. Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes. Minimum qualifications Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue. Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis. Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger. Have managed external partner relationships where you depended on their data, and pushed for fixes. Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations. Have designed or operated SOX controls and supported external audits. Communicate clearly with accounting, finance, business and engineering teams. Thrive in fast-paced, ambiguous environments where processes are still being built. Preferred qualifications Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams. A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA). Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company. Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace). Experience with usage-based and subscription revenue models. Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools. Experience with IPO readiness. Experience using AI tools to automate accounting and reporting work. 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: $190,000 — $230,000 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. 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 What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Provider Sales Director, you’ll be embedded in Provider Partnerships and report directly to the SVP of Provider. You will own a critical component of Garner's provider segment as a quota-carrying seller, selling our solutions into hospitals, health systems, ACOs and clinically integrated networks, physician groups, and digital health companies. You will run the full cycle from prospecting through close, using Garner's own data as the centerpiece of the pitch rather than a supporting slide. This is a builder's seat: the segment playbook is still being written, and the person in this role will help write it. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do Own and advance a provider-segment pipeline end to end, from segmentation and prospecting through close, carrying an individual quota against your assigned budget. Build and deepen senior relationships across hospitals and health systems, ACOs and clinically integrated networks, physician groups, digital health companies, and healthcare consultants. Run a data-driven sales motion: use Garner's own data and insights to shape strategy conversations with sophisticated buyers. Partner with Product, Sales leadership, and Account Management, feeding market signal back into the roadmap and handing off closed accounts cleanly. Contribute to a repeatable playbook for the segment: messaging, target-account strategy, and objection handling grounded in healthcare economics and provider risk. Build working fluency across Garner's full product suite and match the right product angle to each buyer. What we're looking for 5 or more years in fast paced selling environment carrying and consistently exceeding individual quote Experience as a builder, helping design the selling motion as you go Experience selling into into hospitals, health systems, or other healthcare provider organizations is preferred; if not, experience selling in other complex B2B SaaS environments Executive presence: an articulate, compelling presenter who earns trust with senior buyers and sells with data rather than relationship alone. Demonstrated quota attainment you can name: percentage attainment, President's Club, or marquee logos closed. Intellectual curiosity and data fluency: you ask probing questions and ramp fast into a new data methodology. Creativity when a deal stalls: you generate new paths to momentum rather than waiting on the funnel. Comfort selling while product, pricing, and positioning are still evolving. The instinct to pull in the right internal partners at the right moment, and to route market signal back to the people who can act on it. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. Compensation Transparency: The total compensation range (base and commission) for this position is $230,000 - $250,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: United States; United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Credit Pillar. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. About The Role ✍️ We’re hiring a hands-on Lead Product Manager to drive Cleo’s Pay Later risk decisioning roadmap. You’ll build the risk models, credit limits and policies that decide who qualifies for Pay Later and how much credit they get, leading a cross-functional squad across Engineering, ML and Risk. Key Responsibilities - Improve our risk models, taking them through approval, testing and rollout - Set credit limits and pricing policy, including new risk grids and spending power rules - Own our bureau data partnership (TransUnion) - what data we collect, when, and how it feeds our models - Spot and fix gaps in our data and reporting, working with central data teams - Build solutions to catch fraud within Pay Later WHAT WE'RE LOOKING FOR 🕵️ - Deep, hands-on experience in fintech risk, credit or underwriting - model-literate across the full ML lifecycle, from discovery to deployment - Proven record of moving business metrics (not just feature-level metrics) on a fast-scaling product - Comfort owning ambiguity - working with limited data, unproven models and pending approvals, and making the trade-offs between pricing, limits and credit risk - Strong data fluency - runs A/B tests, writes SQL, and translates data into compelling stories - Deep understanding of US consumer finance regulation (e.g. Reg Z, Reg B), with experience working alongside legal, compliance and banking partners WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Riyadh, Saudi Arabia Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE FOUNDING SALES OPPORTUNITY We are looking for our first-ever Sales hire in Saudi Arabia — a rare founding opportunity to build Alan's commercial practice in the Kingdom from the ground up. You will be Alan's flag-bearer in KSA: the person who shapes how we sell, who we sell to, and how we build relationships with companies that want to offer their employees a truly great health experience. This is not a role for someone looking for a well-defined playbook to execute. It is a role for someone who wants to write the playbook — and who has the experience to do so. ⭐️ YOUR MISSION You’ll own the entire sales cycle, from prospecting and outreach to discovery, demo, offer building, and closing. At Alan, Account Executives drive deals and close strategic opportunities with prospects. We sometimes handle some customer relationships to ensure the best possible onboarding. You’ll educate prospects, provide inspiring product demos, and onboard key stakeholders, making the transition from prospect to customer seamless. We expect you to understand and apply the Alan Smart & Soft selling method https://alan.com/fr-fr/blog/tout-alan/a/nos-commerciaux-ne-vendent-pas. This method ensures the prospect experience is an integral part of the overall Alan customer experience—making it pleasant and delightful for everyone. We expect you to be instructive to prospects (Smart), as well as to define the best personalized high-touch strategy that suits best each prospect (Soft). You’ll also help us grow and improve as a company, challenging us to enhance our product(s), methods, and strategy, and getting involved in initiatives to expand our customer base. As Founding Sales for KSA, you will also: - Build Alan's local presence with HR Directors, CFOs, and C-level decision-makers at companies who care about their employees' wellbeing - Act as the eyes and ears of the company in KSA — feeding market intelligence, prospect feedback, and local insights back to the product and strategy teams - Shape the sales function in KSA — setting the rituals, tools, and standards that future teammates will build on - Evangelize Alan's approach in the market, positioning Alan as a trusted and innovative health partner for Saudi employers - Contribute to Alan globally — leveraging and enriching the playbooks built in France, Belgium, Spain, and Canada ⭐ IS IT YOU WE’RE LOOKING FOR? You’ll be a great fit if you: - Are currently allowed to work legally for any employer in KSA, based in or willing to relocate to Riyadh - Have Saudi citizenship - Have 5+ years of B2B sales experience, ideally in the tech or SaaS space (you are familiar with product demos, discovery frameworks, complex deal cycles) - Have demonstrated the ability to prospect, close, and build — not just manage existing accounts - Are highly autonomous — you thrive in ambiguous, fast-moving environments and don't need a fully built machine to be effective - Have native or fluent Arabic - Have strong written and verbal communication skills in English - Are analytical, organized, and rigorous — you manage your pipeline with precision - Have empathy — you genuinely care about understanding and solving the problems of the companies and people you work with - Are not driven primarily by commissions — you are motivated by impact, ownership, and long-term value creation For this opportunity, we are aiming to hire within the C1-D level range https://alan.com/en/careers/a/salary-equity. If you're still wondering whether this could be the best move for you, take a look at this article https://www.linkedin.com/pulse/sept-ans-chez-alan-pourquoi-je-nai-jamais-%25C3%25A9t%25C3%25A9-aussi-lucie-leflour-gwpce/ from Lucie Leflour, our Sales Lead in France. EVERYTHING ELSE IS A PLUS. WE CARE ABOUT HAVING A DIVERSITY OF EXPERIENCES, PROFILES AND BACKGROUNDS IN OUR TEAM. 🙌   PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Competitive base salary — above market, no commission model. We believe in paying well and trusting people to do great work - Meaningful equity — you are building this from scratch, and you should share in what you create - A world-class team to lean on — you won't be alone. You'll have the full support of Alan's international sales, product, and operations teams - Alan's health coverage (of course 😊) - The tools to do your best work — MacBook, the best software, and an environment built for focus - Real ownership and impact — you are not a cog in a machine. You are the machine. - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Serbia, Worldwide Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Product Owner to own the paying customer's experience after purchase. We're not looking for a task manager. We're looking for someone who will own a part of the product end-to-end, from hypothesis to results. Your mission You'll own what happens after a user pays: getting every paying customer to a quality match as fast as possible. This is not a classic subscription-retention role, and it's not SaaS onboarding. We need someone who knows how to increase the share of customers who reach the value moment, through better activation, matching, relevance, and experience. What you'll work on — Getting offer volume right: making sure customers see neither too many nor too few options — Improving the relevance of recommendations and building trust in what we show — Increasing relevant invites to paying customers — Raising the probability that a new customer forms a quality match in their first week — Designing mechanics that bring users back into conversations (e.g. gamification, nudges, reminders) — Understanding which matching parameters matter most for different user segments, and using segmentation, personalization, and data enrichment of offers to improve results The quality of free members' communication itself is outside this role. Your focus is activation, matching, relevance, and experience. How you'll work — Find bottlenecks and growth points in the post-purchase journey using data, research, and common sense — Turn ideas into clear, testable hypotheses with defined success metrics — Work with engineers, designers, analysts, and data/ML specialists to ship fast and efficiently — Manage requirements, priorities, and timelines for smooth, predictable delivery — Run experiments, analyze results and product metrics, then iterate and scale what works Who we're looking for A B2C product person with hands-on experience in: — Customer experience and customer journey design, activation, onboarding, or the first-session experience — Discovery-driven products with a large volume of offers or listings — Search or feed relevance, matching, or recommendation systems — Segmentation, personalization, and enriching offers with data Relevant backgrounds Marketplaces and aggregators, dating and social discovery, real estate and classifieds, e-commerce with large catalogs, or any product built around discovery, matching, recommendations, or personalization. We expect from you — You know how to formulate hypotheses and define requirements — You can drive delivery — You know how to validate results and run A/B tests and other experiments — You're comfortable with qualitative and quantitative product research — You work well cross-functionally with designers, analysts, and engineers — You understand product metrics and how to find growth opportunities — You focus on results, not process — You take ownership instead of waiting for direction — You're comfortable with changing priorities — You communicate clearly and directly — You treat failures as learning, not setbacks What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Security Analyst at Checkout.com http://Checkout.com, you are a frontline defender of our global financial ecosystem. Joining our high-velocity 24/7 Security Operations Center (SOC), you won’t just watch dashboards—you will actively hunt, triage, and neutralize threats in real-time. This is a high-impact role where you’ll leverage a world-class security stack to protect millions of transactions and ensure the integrity of our global fintech platform. Key Responsibilities - Proactive monitoring using Azure Sentinel (SIEM) - End to end support for Security incident - Utilise Wiz and Qualtys to identify misconfiguration and vulnerabilities - Stay ahead of the curve by analyzing threat feeds and adapting our defenses against emerging fintech-specific attack vectors - Manage and optimize SentinelOne to ensure total visibility and protection across our organisation - Audit and secure access patterns within Okta and Active Directory, enforcing a Zero Trust philosophy - Support PCI DSS and SOC2 audits by maintaining rigorous evidence collection and control validation. - Analyze traffic patterns in Netskope to detect data exfiltration or anomalous user behavior. - Provide 24/7 security coverage on a rotational shift basis, including weekends and holidays, to ensure continuous monitoring of the environment. - Act as the first point of contact during assigned shifts, escalating high-priority incidents promptly. Skills & Experience Required - Experience: 2+ years in a Security Analyst or similar role, preferably within a tech or fintech environment. - Technical Skills: Hands-on experience with SIEM tools (e.g., Azure Sentinel), endpoint protection platforms, and vulnerability scanners. - Cloud Knowledge: Familiarity with cloud platforms like AWS, including basic understanding of cloud security best practices. - Networking: Basic understanding of network security concepts, including firewall configurations and IDS/IPS monitoring. - Compliance Knowledge: Awareness of PCI DSS and its relevance to security operations. - Incident Response: Understanding of incident response processes, including containment, eradication, and recovery. - Certifications: Relevant certifications such as CompTIA Security+, CEH, or GIAC are a plus. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: 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. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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. 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 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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. 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: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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 — $485,000 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. 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: Dubai; London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Senior Product Owner to build the products behind our new Financial Investigation Unit as we expand into new financial products and markets. You will own the roadmap for investigation case management and customer offboarding. You’ll use AI to give investigators a complete picture of each case faster, and turn approved decisions into workflows that run reliably. You’ll work closely with investigators, Compliance, Operations and Engineering. Because this is a new capability, you’ll shape it from the ground up and, over time, build the team that runs it. Responsibilities: Own and prioritise the product roadmap for financial investigation case management and customer offboarding, focusing on investigation quality, timely decisions and reliable execution. Translate investigator needs into clear product requirements and acceptance criteria. Design workflows that make case ownership, status, next actions and escalation routes clear. Lead the development of AI and automation to assemble evidence, support analysis and reduce manual investigation work. Ensure outputs are traceable and subject to appropriate human review and approval. Bring relevant information together across systems, with clear sources and appropriate access controls. Enable complete, auditable case records that preserve evidence and reasoning through reviews and handovers. Translate approved offboarding procedures into reliable workflows with operational and control owners. Define approvals, dependencies, sequencing and exception handling, with clear confirmation that required actions have been completed. Deliver changes with Engineering through testing, staged rollout and monitoring. Test interrupted processes, duplicate requests and unavailable dependencies, with recovery routes and records of completed and outstanding actions. Measure investigation quality, case rework, avoidable delays and offboarding failures alongside user feedback. Use the findings to improve performance without treating faster case closure as proof of quality. Prepare Operations and Compliance for product changes, support adoption and resolve issues after launch. Feed quality reviews, audit findings and recurring operational problems into the roadmap. Requirements: 5+ years in product ownership or product management, including end-to-end ownership of a product roadmap at a senior level. Strong financial crime experience across investigations, AML, fraud or customer offboarding, gained in fintech, banking or another regulated business. A track record of building workflow or case-management products for operational users. Experience shipping AI or automation that cut manual work while keeping people in charge of key decisions. Ability to write precise requirements and work closely with engineers on complex, failure-tolerant workflows. Strong analytical skills, with experience defining metrics and using data to set priorities. Excellent stakeholder management, including working with Compliance and control owners on regulatory requirements. Experience building or growing a product team is desirable. What you will get in return: Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.

Who We Are: At Yuno, we build payment infrastructure enabling companies to participate in the global market. Founded by experts from payments and tech industries, our technology provides access to leading payment capabilities, allowing companies to engage customers confidently and maintain global operations through seamless integrations. We empower teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. Using advanced AI and latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries. About The Role: We seek a Technical Account Manager to own and elevate Yuno's technical customer relationships across Latin America. This leadership role requires deep technical expertise, team inspiration, customer trust-building, and driving impactful outcomes. You will be the senior technical voice for strategic accounts in the region and set standards for technical partnership at Yuno. Daily, you will lead a team of TAMs while addressing complex customer challenges. LATAM is a fast-growing payment ecosystem with unique local nuances and high-stakes integrations, rewarding precision and resilience under pressure. This role is central to Yuno's cross-functional engine, collaborating closely with Product, Development, Sales, and Partnerships teams to translate customer insights into improvements and ensure internal teams have necessary context. You will define best practices, scale the TAM function, and ensure quality and reliability in integrations. Your contribution will be: — Serve as senior technical contact for strategic accounts, managing escalations and resolving complex integration challenges — Lead high-level discussions with customer leadership on technical strategy, product trade-offs, incident management, and risk mitigation — Define and implement best practices for technical onboarding, integration delivery, and account health monitoring — Build deep knowledge of customers' business models, technical stacks, and operational needs to unlock value proactively — Partner with developers and senior engineers to provide strategic technical guidance and support solution design — Collaborate with Product and Development teams to customize platform capabilities and feed customer insights into the roadmap — Work cross-functionally with Sales, Partnerships, and Finance to support account retention and regional growth — Monitor integration progress and ramp-up milestones across the team, ensuring consistent and high-quality delivery — Champion the LATAM customer base internally, bringing regional intelligence into Yuno's strategic conversations Skills You Need: Minimum Qualifications: — Fluency in English and Portuguese is a plus; Spanish is a plus — 5+ years experience in technical account management or integration engineering, preferably in fintech or payments — Proven track record of leading or mentoring technical teams — Strong understanding of RESTful APIs, SOAP, JSON, XML, and API management tools such as Postman, SoapUI, or Swagger — Proficiency in web fundamentals: HTML, CSS, JavaScript, RESTful APIs, and modern frameworks — Hands-on experience in at least one server-side language: Golang, Python, Node.js, or equivalent — Familiarity with server and database technologies including Apache, Nginx, MySQL, Oracle, PostgreSQL, MongoDB, or similar — Strong analytical, problem-solving, and project management skills — Excellent organizational skills managing multiple accounts, team priorities, and concurrent projects — Clear and compelling communication with technical and non-technical stakeholders at all seniority levels — Experience with ticketing systems is a plus What We Offer at Yuno: — Competitive Compensation — Remote Work – work from anywhere — Home Office Bonus – one-time allowance for home office setup — Work Equipment — Stock Options — Health Plan wherever you are — Flexible Days Off

Location: San Francisco, CA 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 Anthropic Institute The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI. The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more. The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come. About the role The role. You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice. Why tabletop exercises? If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for, including what they would need that does not exist yet. Tabletop exercises are also a research method. You can run the same scenario many times, with different groups of people (and with many more AI agents playing in silico), and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future, i.e., how people and institutions will respond to situations that have not happened yet. Key responsibilities Set the program’s research agenda: the questions exercises should answer, the scenarios to run, and the audience for each Design exercises as empirical studies: define what each run tests, standardize scenarios and data capture so results are comparable, and use repeated play to map the range of outcomes Build the program’s measurement: pre- and post-exercise assessments, decision logs, transcript analysis and after-action reports Turn results into findings: publish on what the exercises show, and brief senior people inside and outside Anthropic on the gaps they expose Hire, manage and develop a team and a bench of facilitators Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time, refreshed on a regular cadence so they stay timely Build a facilitator kit ("TTX in a box") so other internal teams or external partners can run exercises to the same standard Create and direct the tools behind the exercises, including Claude-driven simulations that generate a live outside-world feed during play Minimum qualifications Have designed and run tabletop exercises, wargames, or simulations for senior decision-makers and published on the subject Have training in a discipline that uses simulation, experimental methods or structured analysis Have 10+ years of experience in national security, government, technology policy, or strategy Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research Have managed a team, including hiring, setting direction, giving feedback and developing people Use Claude and other AI tools extensively in your own work Care about AI safety and Anthropic's public benefit mission Preferred qualifications Published research on wargaming methods, simulation or crisis decision-making Run exercises that fed into real policy or crisis-response decisions Run multi-iteration or experimental wargames and analyzed results across runs Used AI agents or language models as players, adjudicators or analysts in simulations Led a research program or team through a period of growth Existing relationships across national security, government, policy and AI, and are trusted in those communities Published widely read work on AI, emerging technology, strategy or crisis decision-making 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. 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: $295,000 — $295,000 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. 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.