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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book. You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs. This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own. Responsibilities: Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier You may be a good fit if you: Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go Have strong executive presence and can build trust with technical and business leaders alike Have a genuine passion for making powerful technology safe and societally beneficial Strong candidate may have: Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500 Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them A visible technical presence through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds. As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are. What you'll do Our work splits into two workstreams, and we need your help across both. Portable infrastructure. We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in. Claude on partner clouds. We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them. Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice. You might be a good fit if you: Have a minimum of 8 years of practical experience building and operating production distributed systems Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust) Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi) Understand ML infrastructure and supporting interconnects Ship software through hyperscaler marketplaces or managed-model platforms Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.  Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.  Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.    Why This Role Is Important to Arcadia Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.  As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.    What Success Looks Like In 3 months You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations In 6 months What You'll Be Doing Design and iterate on agent behavior across real, live workflows, including long- horizon , multi-turn agentic tasks Design retrieval and context architecture so the right source data reaches a model in the right structure and agents remain grounded in real data rather than filling gaps with assumptions Design memory and state handling across multi-turn and multi-agent flows, determining what is carried forward, summarized, or dropped and why Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior Improve performance through prompting, tool-use strategy, and context construction, validated through direct experimentation rather than guesswork Build and run evaluations against real production conditions to measure performance, regressions , failure modes, and edge cases Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost , not just frequency , and monitor those measures against production behavior Design and validate escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior Partner closely with Product and product managers to ensure agents are not just capable, but steerable, trustworthy, and ready to scale What You'll Bring Bachelors degree in Engineering or related field and/or masters of Data Science or related field 4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix Would Love for You to Have Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards What You'll Get The opportunity to define how agent performance, safety, and readiness are measured for production healthcare workflows Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform A mission-driven company working to improve how patients receive care A flexible, remote-friendly culture with personality and heart Employee-driven programs and initiatives for personal and professional development Membership in the talented, energized, diverse, and purpose-driven Arcadian community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer – Applied AI & Streaming Aliso Viejo, CA The vision We think AI will change what cloud gaming can be. It can make streamed play faster, more personal, and more accessible, and in some ways better than playing locally. As a Senior Software Engineer on our team, you'll build agents and inference-backed systems into a real-time streaming platform and ship them to players. You'll work where AI meets performance-sensitive systems, and a lot of the problems here are still being defined. What you'll do Design, prototype, and ship AI-powered capabilities across our streaming platform and player experience. Apply inference and agents to real-time performance, player engagement, personalization, and accessibility. Use AI to understand, optimize, and evolve large existing codebases, including our streaming stack. Build and extend our platform in C++, and help shape the technologies and architecture we use next. Build what production AI needs: evaluation, telemetry, guardrails, fallbacks, and attention to latency and cost. Turn ambiguous ideas into demos and experiments, measure what works, and harden it for production. Work AI-natively every day, using coding agents, automation, and rapid exploration, and help the team do the same. Work with a small, focused engineering team and with partners across streaming, platform, and cloud. You're a great fit if you have A BS in Computer Science or a related field, or equivalent practical experience. Senior-level software engineering experience with a track record of owning complex systems end to end. Strong C++ skills from professional work in production codebases. Hands-on experience building and deploying agents or AI-powered features in production. You've worked through evals, regressions, latency, cost, and the ways these systems fail. A strong grasp of how to turn models into products, including context and prompt design, tool use and orchestration, memory and retrieval, model selection, and where inference should run. Fluency with AI-native engineering workflows. Product judgment. You can tell when AI makes an experience better and when it's a gimmick. The ability to work in ambiguity, move quickly, and keep momentum as priorities change. Clear communication, strong ownership, and a habit of making the people around you better. Bonus XP Python, Rust, or other languages used to build and serve AI systems. Low-latency or on-device inference, model optimization, or GPU experience. Real-time media, game streaming, graphics, or video experience. Cloud infrastructure, distributed systems, or production platform experience. Experience building conversational or agentic experiences for games or interactive products. Linux or Windows systems experience. Japanese language or cross-cultural collaboration experience. You enjoy playing video games. Why join us Work on AI problems most engineers never get to. In real-time systems, every millisecond counts, and so does every inference call. Help set the direction. Our AI strategy is still taking shape, and you'll help decide what we build, not just how. Get real ownership. You'll join a small, senior team where ideas go from prototype to production quickly. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $177,300 — $265,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform. Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on. What you'll do Scale the platform. Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production. Evolve the harness — and prove it with evals. The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude. Help builders get the most out of Claude. Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely. Design APIs that outlast their implementations. Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship Care about building systems that other engineers and businesses love to use, and about doing so safel Strong candidates may also have: Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization Built evaluation or benchmarking infrastructure for LLM or agent systems Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes Shipped public developer platforms, APIs, or SDKs used by external developers at scale Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box. The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both. What you'll do Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more. Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently. Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments. Take full ownership of your work—from design through deployment and operations Are proficient in Python, Go, Rust, or similar systems language Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion The Role As a member of the analytics team, you bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You’ll own credit and product analytics for our in house liquidity products driving smarter decisions, better outcomes for our customers and growth for the business. You understand that risk is about more than minimizing losses and are eager to work cross functionally with product, engineering and data science teams to drive the business forward In this role, you will: - Own credit strategy end-to-end across advance, overdraft and other credit products — creating policies that balance growth and risk - Think holistically about customer behavior, not just program-level metrics — connect segmentation and behavioral signals across products to uncover new insights - Launch new credit products from scratch balancing first principles and limited data to scale innovative experiences with a credit and product lens - Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics. - Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business You bring - 4-8 years of professional experience in credit analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment. - Demonstrated experience with consumer underwriting strategy and/or portfolio risk analytics — cash advance, overdraft, BNPL, or short-term consumer lending experience is a strong plus. - Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets. - Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights. - Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’. - An act-like-an-owner mentality. We have a bias toward taking action. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.   This role is based in Dublin, Ireland. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.   WHAT YOU'LL ACHIEVE: - Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy - Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers - Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff - Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running - Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion   SKILLS YOU'LL NEED TO BRING: - Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels - Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response - Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations - Passion for AI/ML and understanding of API-first or consumption-based business models - High-activity mindset with the discipline to prioritize based on signal and data, not just volume - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. - Fluency in Dutch   NICE TO HAVES: - Experience with Salesforce, Outreach, or similar GTM tooling - Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software - Background in a high-velocity, metric-driven outbound environment with clear pipeline targets   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Hybrid - New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Product Manager, Observability, you’ll own the strategy and roadmap for Vercel’s observability products, including Runtime Logs, OpenTelemetry tracing, and Drains. Drains let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You’ll partner closely with engineering and design to help customers understand and debug what they run on Vercel, through Vercel’s native surfaces and through integrations with vendors that support OpenTelemetry. This is a hybrid role with 3 in-office days per week in New York City. What you'll do Own the strategy and roadmap for Vercel’s observability products, from telemetry ingestion through the surfaces developers use to debug and monitor Turn support escalations, customer interviews, usage data, and competitive shifts into a sequenced plan with clear tradeoffs, and define the metrics that show whether it’s working Partner daily with engineering on scoping, with design on making dense telemetry data legible, and with PMM on the launch narrative (changelogs, blog posts, and docs direction) Decide what Vercel builds natively and where it integrates with Datadog, Sentry, Grafana, Honeycomb, and New Relic Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion, and own pricing and packaging with Finance and GTM, since observability is metered What you need 5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products Shipped a technical product, and can read a trace waterfall and reason about cardinality, sampling, and retention costs Owned a product domain end to end, turning strategy into work without a PM above you Write your own queries to answer usage questions instead of waiting on someone else Bonus if you Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale Have shipped AI or agent-facing developer tooling Have owned consumption-based pricing for a technical product Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote (North America) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE Clipboard is looking for a Sales Operations Analyst to help build and run the systems behind our sales organization. You'll work across Salesforce, data, automation, and internal tools to help our sales team operate more effectively. That might mean building an automation that eliminates a recurring workflow, investigating a messy data problem, redesigning part of our Salesforce setup, or building a new system from the ground up. We are a small team with an unusual operating model. Much of our execution runs through AI agents that we direct and quality-check, allowing each analyst to operate with the leverage of a much larger team. This is equal parts builder and operator. You'll own systems end to end, work through ambiguous requests from reps and leadership, and be accountable for making sure the things you build actually work. WHAT YOU'LL DO - Own live systems. Take ownership of production systems such as account distribution, deal intelligence, competitor tracking, and data sync pipelines. You'll be accountable for their accuracy and reliability. - Solve ambiguous problems. Work through requests from sales reps, managers, and leadership, figure out what is actually needed, and execute quickly. - Direct AI agents. Write specs and prompts, supervise AI agents, and rigorously QA their output before it touches production data. - Build automations and tools. Create scripts, scheduled jobs, Slack bots, and lightweight web apps that turn recurring manual work into scalable systems. - Analyze and report. Use SQL and other tools to answer important revenue questions and build reporting the organization can trust. - Guard data quality. Handle merges, deduplication, account mapping, enrichment, and other work required to keep our systems accurate at scale. WHAT WE'RE LOOKING FOR - Evidence of building. You've built scripts, automations, tools, systems, or other solutions to real problems. - AI-native working style. You already use AI to multiply your output and understand where it can fail and how to verify its work. - High judgment under ambiguity. You can take a loosely defined problem, figure out what matters, and know when to act versus when to ask. - Strong attention to detail. You're comfortable being the last line of defense before changes affect production systems and large datasets. - Bias to ownership. When something you own breaks, you don't just fix the immediate issue. You look for the underlying problem and improve the system. SQL and Python experience are strong pluses, but we're more interested in your curiosity, judgment, and ability to ship than checking every technical box. NICE TO HAVE - Salesforce administration or development experience, including flows, SOQL, or data model design. - Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment. - Experience building automations with tools, scripts, APIs, or AI agents. INTERVIEW PROCESS 1. Application Review – We'll review your experience and evidence of things you've built, automated, or owned. 2. Take-Home Assessment – A practical, ~2-hour assessment using a fictional company, mock website, and CRM. You'll have 48 hours to complete it, and AI tools are encouraged. 3. Technical Walkthrough – A 30-minute session where you'll demo what you built, explain your decisions, and make a small live change to your system. 4. Manager Interview – A 30-minute conversation focused on communication, ownership, judgment, and how you operate under ambiguity. 5. Final Steps / Offer! – Some candidates may have an executive conversation, followed by references and an offer. WHAT WE OFFER - Competitive base salary - Insurance benefits + 401k options - Unlimited PTO and flexible holidays - Remote-first working environment To get a better understanding of the general type of people we want to hire, you can check out our blog here. https://creatingvalue.substack.com/     Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: London Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who we're looking for: AI Consultant to join our London office and help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses. Key Responsibilities: Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases. Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility. Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails. Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities. Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows. Prepare agent specifications and solution documentation that enable delivery teams to implement successfully. Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption. Support customer presentations and executive discussions around AI strategy. Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices. Required Skills & Competencies: Strong skills in business analysis, process design, value mapping, and discovery. Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations. Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role. Hands-on experience designing or launching AI-powered solutions or AI agents. Experience translating business requirements into solution designs. Experience working with enterprise customers and multiple stakeholders. Excellent executive communication and presentation skills. Strong analytical and systems thinking. Excellent spoken and written English. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Paris, France 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. À propos du poste En tant qu'ingénieur·e en IA appliquée au sein de notre équipe Entreprise, votre rôle est de guider certaines des plus grandes entreprises de France vers la frontière de l'IA et de les aider à déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail. Vous deviendrez le·la spécialiste incontournable de la plateforme Claude et le·la conseiller·ère technique de confiance de vos clients, en conseillant leurs équipes d'ingénierie sur l'architecture, la conception d'agents et l'évaluation, et en travaillant avec les dirigeants et les cadres supérieurs qui sponsorisent ces programmes pour démontrer la valeur ajoutée de Claude et les aider à prendre une décision éclairée quant à l'adoption de Claude. Les transactions avec les entreprises sont différentes. Les cycles d'approvisionnement sont plus longs, davantage de parties prenantes sont impliquées, et la réussite dépend de la capacité à relier le travail technique aux résultats qui importent pour le conseil d'administration. Vous serez tout aussi à l'aise pour conseiller une équipe d'ingénierie sur l'évaluation et l'architecture que pour présenter un dossier de valeur à un CIO ou un CTO, et vous porterez le fil technique à travers chaque étape d'un engagement s'étalant sur plusieurs trimestres. Une grande partie de ce travail se déroule en français, avec des cadres dirigeants et des équipes d'ingénierie françaises, c'est pourquoi un français natif ou courant est essentiel pour ce poste. Vous travaillerez en étroite collaboration avec les responsables de comptes Entreprise et les architectes IA appliquée pour accompagner chaque client depuis la première conversation, à travers l'évaluation technique, la création de valeur et les achats, jusqu'à la décision de développer sur Claude. Une fois leur décision prise, vous préparerez leur partenaire d'intégration système à assurer la mise en œuvre, en définissant ensemble l'architecture cible et les critères de réussite, et vous resterez proche du client en tant que conseiller·ère technique sur Claude pendant tout le déploiement, tandis que le partenaire se chargera de la construction. En travaillant aux côtés des équipes Produit et Ingénierie d'Anthropic, vous mettrez à profit votre connaissance de la plateforme Claude pour conseiller sur l'évaluation, recommander des architectures répondant aux exigences de sécurité et d'échelle des entreprises, et créer les ressources techniques et commerciales qui aident les grandes organisations à réussir avec Claude. Responsabilités Travailler en partenariat avec les responsables de comptes et les architectes en IA appliquée pour accompagner les clients entreprises en France depuis le premier échange jusqu'à la décision d'adopter Claude, en passant par l'évaluation technique, la validation de la valeur et le processus d'achat Piloter le volet technique de chaque opportunité jusqu'à cette décision, et rester le·la conseiller·ère technique du client sur Claude pendant son déploiement Préparer les clients et leurs partenaires d'intégration de systèmes à assurer la livraison : convenir de l'architecture cible, définir les critères de réussite, et rester disponible pour conseiller l'équipe de livraison au fur et à mesure de l'avancement de la construction Guider les clients grandes entreprises vers l'avant-garde de l'IA, en les conseillant sur la manière de déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail Aider les équipes d'ingénierie des clients à voir comment elles pourraient développer sur Claude, en couvrant l'architecture, la conception d'agents et l'évaluation, afin qu'elles puissent prendre une décision en toute confiance Élaborer et présenter le dossier de valeur commerciale de Claude auprès des dirigeants et des cadres supérieurs, en français et en anglais, en associant les capacités techniques à des résultats mesurables tels que les coûts, les revenus, les risques et le délai de mise sur le marché Guider les clients à travers de longs cycles d'approvisionnement et d'adoption impliquant de multiples parties prenantes, notamment les évaluations techniques, les preuves de concept, les revues de sécurité et d'architecture, jusqu'à la définition d'une feuille de route claire vers la mise en production Travailler avec les responsables de comptes sur la stratégie de compte, la qualification des opportunités commerciales et les plans d'engagement des dirigeants, et avec les architectes en IA appliquée pour assurer la continuité et le partage du contexte à travers chaque engagement Organiser des briefings exécutifs, des ateliers techniques et des sessions de formation destinés à la fois aux dirigeants et aux équipes d'ingénierie Naviguer au sein des exigences de l'entreprise en matière de sécurité, de conformité, de résidence des données et de gouvernance, en collaborant avec les équipes internes d'Anthropic si nécessaire Identifier les modèles à travers les engagements auprès des entreprises et transmettre les informations aux équipes Produit, Ingénierie et à l'équipe IA appliquée élargie Se rendre sur les sites des clients en France pour des réunions de direction, des ateliers et l'établissement de relations Vous conviendrez particulièrement si vous avez Le français comme langue maternelle ou courant, écrit et parlé, car vous travaillerez au quotidien avec des clients entreprises français, aussi bien au niveau des dirigeants qu'au niveau ingénierie Plus de 6 ans d'expérience en tant qu'ingénieur·e logiciel, architecte de solutions, ingénieur·e en déploiement avancé ou fondateur·rice technique Une expérience dans un poste d'avant-vente ou de conseil technique auprès de grandes entreprises, idéalement sur le marché français, y compris la définition du périmètre et la conception de solutions complexes Une expérience dans la vente basée sur la valeur, ce qui signifie que vous êtes en mesure d'élaborer un dossier commercial, de quantifier l'impact et de le présenter à des décideurs de haut niveau L'aisance à présenter et à établir des relations avec des parties prenantes de niveau C et VP Une expérience dans la prise en charge de la réussite technique des transactions avec les entreprises : évaluations, preuves de concept et audits techniques préalables avec les équipes d'ingénierie, de sécurité, juridique et des achats Une expérience en production avec des applications propulsées par des LLM, incluant le prompting, l'ingénierie du contexte, les architectures d'agents, les cadres d'évaluation et le déploiement à grande échelle Une expérience pratique en ingénierie, incluant la conception et le déploiement d'applications en production, afin de pouvoir échanger avec les responsables techniques et leurs équipes Une familiarité avec les exigences en matière de sécurité, de conformité et d'architecture d'entreprise, et une expérience dans la résolution de ces problématiques avec les équipes clientes La capacité à expliquer clairement des concepts complexes d'IA à des publics techniques et dirigeants, et à naviguer entre des secteurs tels que les services financiers, les soins de santé, le commerce de détail et l'industrie manufacturière Un intérêt marqué pour la mise en place de technologies puissantes sûres et bénéfiques About the role As an Applied AI Engineer on our Enterprise team, your role is to guide some of France's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in French, with French executives and engineering teams, so native or fluent French is essential for the role. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in France from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision Build and present the business value case for Claude with C-level and senior executives, in French and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team Travel to customer sites across France for executive meetings, workshops, and relationship building You may be a good fit if you have Native or fluent French, written and spoken, as you will work day to day with French enterprise customers at both executive and engineering level 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the French market, including scoping and designing complex solutions Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers Comfort presenting to, and building relationships with, C-level and VP-level stakeholders Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing A passion for making powerful technology safe and beneficial 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: €220.000 — €235.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Athens Workplace: OnSite ROLE HIGHLIGHTS - Title: Planner Satellite Manufacturing - MAITE - Location: Athens, Greece - Department: Global Manufacturing Organisation - Reports to: Director of MAITE - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) - Please note we can only accept applications in English WHY THIS ROLE MATTERS: The mission of this role is to be the single planning point for the whole MAITE (Manufacturing, Assembly, Integration, Test and Execution) organisation in Greece: AIT Engineering, Production, Stock & Logistics, Procurement, Quality, and the Cleanroom & Lab. You will build and own one integrated schedule, from the master schedule down to daily work orders, that turns satellite demand into executable work across all of them. You will work with the global planning team, which sets the master plan and component MRP, and turn it into a detailed, executable plan for the site. Unlike traditional satellite builds, LEO constellations demand industrial-scale throughput, modular design adaptability, and tight integration between production, engineering and supply chain. Much of the value sits in the interfaces: sequencing a calibration campaign or a cleanroom intervention so it does not stop a build, holding a slot for a quality inspection, or flagging a long-lead component early enough for procurement to act. The ideal candidate thrives in ambiguity, works comfortably across departments, and improves the planning tools and workflows they inherit where off-the-shelf solutions fall short. You are the reliable source of truth for the site plan: when the plan and the floor disagree, you know first and say so. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 1000 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Build, maintain and optimise a single integrated schedule covering AIT Engineering, Production, Stock & Logistics, Procurement, Quality and the Cleanroom & Lab, from the master schedule down to daily work orders, against technical constraints, material availability, labour and facility capacity. - Translate the master plan and component MRP from the global planning team into a sequenced plan for each department, agreeing dates and capacity with the department owners rather than directing their work. Hold slots for cleanroom interventions, calibration campaigns, quality inspections and rework loops so that planned work lands where it costs least, and keep those slots when priorities move. - Run the daily and weekly planning cadence. Coordinate daily schedules with the site team leads, report actual people availability into the capacity plan, publish status, and raise deviations early and factually rather than sitting on them, then drive them to a decision. - Feed the planning cycle. Keep plan versus actuals, milestone status and people availability current and flowing to the global planning team on cadence, so the plan above the site reflects floor reality. - Produce and maintain the artefacts the organisation runs on: master schedule, critical path analysis, capacity plans, sprints and the visual management boards used in daily meetings. - Integrate new product introduction and engineering changes into the plan, including prototype and qualification builds, without disrupting series production. Keep the plan and work order BOMs aligned with the current approved configuration, coordinating with Configuration Management, who own the governed baseline. - Schedule planned downtime deliberately, including preventive maintenance, instrument calibration campaigns and cleanroom interventions, so that they land where they cost least. - Embed quality hold points, inspection windows and rework loops into the schedule rather than absorbing them as overruns, and flag long-lead and shortage risk to Procurement early enough to act. - Keep planning data in NetSuite, Manufacturo (MES), Jira and Smartsheet in sync with the floor: work orders released and closed on time, no phantom work in progress, no conflicting references, and material, WIP and stock status accurate enough to plan from. - Publish and track the organisation-level planning indicators: on-time delivery, schedule adherence and cycle time. Consolidate and report the department-level measures that explain them, including material availability at kit release, inspection turnaround, equipment availability and calibration compliance. These measures remain owned by the department that produces them. Where one moves against the plan, raise it in the planning cadence with its owner and drive it to a decision. WHAT WE’RE LOOKING FOR MUST HAVES: - 5+ years of experience in production, industrial or operations planning in a technological environment (aerospace, defense, maritime, automotive, semiconductor, medical devices, etc.). - Proven scheduling capability across multiple departments or product lines, building and owning a master schedule fully. - Capacity planning across labour, equipment and facilities, with the judgement to state clearly what cannot be done as well as what can. - Deep understanding of manufacturing processes, supply chain logistics and systems engineering, sufficient to challenge a lead time or a routing. - Comfortable reading technical documentation: bills of materials, routings, work instructions and engineering change notices. - Inventory management experience: tracking materials, work in progress and stock accuracy against plan. - Ability to hold competing departmental priorities in balance and reach a decision without formal authority over the teams involved: influence and reliability over authority, and the instinct to raise a problem early rather than sit on it. - Analytical thinking with a data-driven approach to forecasting, problem-solving and decision-making, using Excel, Power BI or similar. - Adaptability to respond quickly to production changes, delays, or evolving technical requirements. - Hands-on experience with ERP/MRP/MES systems and scheduling tools, including responsibility for planning master data accuracy. We use NetSuite, Manufacturo (MES), Jira and Smartsheet, which are being implemented while in use; experience with equivalent systems is fine. - Experience producing visual management for daily operational meetings, and with project tooling such as Jira, Smartsheet or MS Project. - Strong communication skills in English (written & spoken). NICE TO HAVES: - A satellite, aerospace, or another regulated, low-volume / high-complexity manufacturing setting. - Foundational software development skills, such as Python or scripting, useful for automating planning tasks, integrating data sources, or building internal planning tools. - Exposure to Lean or continuous improvement, S&OP cycles, or APICS/ASCM certification. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Leadership & Hiring Team Interview WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. - A job that matters in a dynamic Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Phone subscription with iPhone of choice - Relocation support (flight tickets, accommodation, relocation agency support) - Time for self-development, research, training, conferences, or certification schemes - Inspiring and collaborative offices and silent workspaces that enable you to focus - A wide variety of the best coffee, tea, snacks, and sweets to accompany your daily space mission - Competitive salary contingent on your experience level, negotiated individually OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by alumni of Goldman Sachs' Digital Assets team, we're backed by some of the best investors in the world, including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are the category leader by AUM, well-capitalized, and growing quickly. We're fully remote, with team members across the U.S. About the role Our Data Science team turns on-chain and off-chain data into the analytics, risk, and decision-making infrastructure behind Ondo Global Markets (tokenized stocks) and Ondo Perps. We're hiring Ondo's first Data Engineer to build the foundational data platform that this work depends on—consolidating fragmented data sources, standing up a unified warehouse in BigQuery, and making trustworthy, well-modeled data available to the entire team. This is a hands-on infrastructure role with end-to-end ownership. You'll lead the migration of analytics into BigQuery, work directly in the Go services that power Ondo Perps to ingest additional data into the warehouse, and build the repeatable ETL pipelines that let data scientists, risk, and analytics move quickly and self-serve. You'll partner closely with Data Science, Backend Engineering, Risk, and Product to replace today's siloed, ad-hoc pipelines with reliable, observable, and reusable data infrastructure. Our team operates with high autonomy, high trust, urgency, and an uncompromising quality bar. We're looking for someone who improves the platform without waiting to be asked, cares deeply about data quality and correctness, and pairs strong engineering judgment with humility. You'll shape both Ondo's data foundation and how our Data Science team builds and scales analytics. Responsibilities Lead the migration of analytics and existing data workflows into BigQuery, establishing it as Ondo's unified, trusted warehouse and reporting layer. Read, understand, and extend the Go services powering Ondo Perps to ingest additional data into the warehouse (e.g. changefeeds and streaming/batch sinks from production systems). Design, build, and operate repeatable, well-tested ETL/ELT pipelines that the wider Data Science team can rely on and reuse. Consolidate fragmented and siloed data sources—internal databases (CockroachDB, QuestDB), on-chain and market-data vendors (Allium, Dune, Databento), and product analytics—into consistent, well-modeled datasets. Establish standards for data ingestion, transformation (e.g. dbt), orchestration, testing, lineage, and documentation so definitions are consistent and self-serve. Experience building foundational metrics and dashboards, with strong opinions on data lineage and quality, in partnership with Data Science. Own data quality, observability, monitoring, access controls, and cost management across the pipelines and warehouse. Partner with Data Science, Backend Engineering, Risk, and Product to turn analytical and reporting needs into durable data infrastructure. Requirements 5+ years of data engineering experience building and operating production data pipelines and warehouses. Deep hands-on experience with a cloud data warehouse—BigQuery strongly preferred—including performance, partitioning, and cost optimization. Strong SQL and data modeling skills, plus experience with modern transformation and orchestration tooling (e.g. dbt, Airflow, Dagflow-style schedulers, or similar). Experience designing batch and streaming ingestion (CDC/changefeeds, event pipelines) from operational databases into a warehouse. Experience building data infrastructure for fintech, trading, or other high-integrity financial systems where correctness and auditability matter. High standards for data quality, reliability, testing, observability, and documentation. Clear communication, high ownership, and a track record of delivering effectively with both technical and non-technical partners. Nice to haves Proficiency reading and writing Go, or strong general software-engineering ability and a track record of quickly ramping on unfamiliar production codebases. Experience with crypto-native or on-chain data, and vendors such as Allium, Dune, or Databento. Familiarity with CockroachDB, QuestDB, Snowflake, or similar operational and analytical stores. Experience enabling self-serve analytics and AI-over-data workflows for analytics and data science teams. Exposure to risk, quantitative analytics, or trading microstructure data. What we offer Competitive compensation including salary, future token rights, and/or equity, according to your preferences. We're well-funded and believe that great talent deserves great compensation. Full benefits, including medical, vision, and dental coverage, plus a flexible vacation policy. A remote-first team across many countries. You'll be an early team member helping shape our vision, culture, and engineering practices. A+ colleagues. Our team includes alumni from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap. Best-in-class investors. We are proud to be backed by leading crypto experts and venture firms, including Pantera Capital, Founders Fund, and Coinbase Ventures.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster. You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our team: - Baseten Training: an autoresearch substrate https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/ - Introducing Baseten Loops https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/ - Harnesses are everything. Here's how to optimize yours. https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/ - Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/ RESPONSIBILITIES - Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA. - Design the harnesses, execution flows, and guardrails that make AI systems reliable in production. - Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams. - Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features. - Define and instrument evals so you know whether a change actually improved output quality. - Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end. - Use Baseten's own training and inference products yourself to develop intuition around customer workflows. - Identify where AI can replace manual process across the company and build the thing rather than write the proposal. - Fix bugs and resolve customer issues with urgency. REQUIREMENTS - 5+ years of experience building and shipping software applications. - Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on. - Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well. - Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on. - Proficiency in Python, with fluency in at least one other language. - Comfort working autonomously in a fast-moving environment with limited structure. - Ability to move between customer-facing product work and internal tooling and automation. - Strong communication skills, with the ability to bridge technical depth and business needs. NICE TO HAVE - Experience as a founding engineer or early employee at a startup. - Experience building evals, agent observability, or tooling for non-deterministic systems. - Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP). - Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes. - Frontend fluency. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Tokyo, Japan 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 IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in Tokyo, Japan and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on. One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies. This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute. Key responsibilities Run launches Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership. Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it Evolve the NPI methodology Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment Partner across the company Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap Minimum qualifications Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall Bachelor's degree required Preferred qualifications Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar) Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS) Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations Familiarity with safety, trust & safety, or security-review processes in a product context Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast Deadline to apply: None. Applications will be reviewed 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: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion - Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business - Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals - Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews - Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion - Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered - Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system - Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base SKILLS YOU'LL NEED TO BRING: - 4+ years of experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated OTE (On-Target Earnings) range is $166,000-$185,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.