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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 We're seeking an experienced software engineer to build the platform behind governance, risk, and compliance (GRC) at Anthropic. Compliance information lives across dozens of systems, from cloud infrastructure and identity providers to HR platforms and code repositories. You'll build the pipelines, integrations, and services that bring that data together and turn it into automated checks, real-time dashboards, and evidence for real time decision making, compliance obligations, and to support expanding the markets we can serve. You will be an early member of the team, collaborating with stakeholders across Security, IT, Engineering, Privacy Engineering, Legal, Finance, and more to turn manual compliance processes into scalable, reliable systems. You will lead your own projects end to end, and you will put Claude to work as an extension of the team through agentic workflows for evidence collection, analysis, and continuous monitoring. If you've built internal platforms, data pipelines, or privacy systems, you'll feel right at home, and you don't need a compliance background to get started. Key responsibilities Design and build data pipelines that aggregate risk, control, and asset information from across Anthropic's technology stack, solving hard integration problems like disparate schemas, inconsistent data quality, and unified views of posture Build and maintain integrations connecting our platform to cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems to enable automated evidence collection and continuous validation Translate written policies and regulatory requirements into policy-as-code, turning static documents and spreadsheets into enforceable rules, automated checks, and continuous monitoring Design and deploy agentic workflows where Claude handles work that previously required manual effort, such as analyzing evidence, generating audit responses, and monitoring control effectiveness Develop dashboards and reporting that provide real-time visibility into risk and compliance posture for audiences ranging from engineers to executives and external auditors Make architectural decisions that shape how the platform grows, establishing patterns and tooling that other engineers will build on Partner with Security, IT, Infrastructure, and product engineering teams to make controls and evidence collection native to how Anthropic builds and ships Operate what you build, owning reliability and data integrity for systems that audits and executive reporting depend on Minimum qualifications Have 8+ years of experience building backend systems, data pipelines, or internal platforms that other teams depend on, ideally operating at tech lead level Are a systems thinker who understands how data flows between systems, where the integration points are, and what breaks when systems don't talk to each other Have depth in either integration engineering (REST APIs, webhooks, authentication flows, event-driven architectures) or data infrastructure (warehousing, ELT/ETL, orchestration), and fluency in the other Are proficient in Python, Go, or similar languages, and have production experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code Hold a high bar for data quality and reliability, and enjoy turning ambiguous, manual processes into simple, reliable automated systems Take full ownership of your work, from design through deployment and operations, and can navigate ambiguity and make sound technical decisions independently Take a product-focused approach to platform work and care about building tools internal customers love to use Are excited to build with LLMs as system components, designing agentic workflows, evaluating their outputs, and making them reliable enough for high-stakes use Preferred qualifications Experience in domains where engineering meets regulation, such as privacy engineering, data governance, fintech, healthcare, or trust and safety Experience designing and shipping LLM-based or agentic automation in production or operational contexts Familiarity with compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP) or GRC platforms (ServiceNow, Vanta, Drata, OneTrust); this is helpful but not required Prior experience at high-growth startups, building processes and systems that scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline. Key responsibilities Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the Security risk engineering Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction Risk assessment and quantification Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision Risk platform and automation Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical Remediation strategy and investment Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required Measure outcomes rather than activity, focusing on decisions made and risk reduced Minimum qualifications At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently Bachelor’s degree in a related field or equivalent experience Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++ Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes Experience leading cross-functional security initiatives and navigating complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all levels of the organization A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams Passion for AI safety and the role security and risk management play in building trustworthy AI systems Preferred qualifications Owned a named security risk and driven it from discovery through remediation across multiple teams Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge Built security automation, detection, or risk platforms adopted across an engineering organization Shipped LLM or agent-powered tooling and workflows that automate security or risk activities A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Munich, Germany 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 an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: €205.000 — €255.000 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. 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: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. On-call Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity Canada: CA$238,250 – CA$382,250 + equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Europe; Portugal; Ireland; London; United Kingdom; Germany Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Product team shapes the arc of Attio’s story. We connect vision to execution, blending insight, intuition, and evidence to craft experiences that feel inevitable. We ship constantly, make decisions with imperfect data, and act like owners. We think deeply about how people work together, design systems that scale, and remove friction before it’s felt – orchestrating every step toward value in lockstep with Design, Engineering, GTM, and our users. We’re looking for Product Leads who are relentlessly curious, think in systems, thrive in technical complexity – and wants to help reinvent how millions of people work. WHAT YOU’LL DO - Own core parts of the Attio product and contribute to overall product steering - Work with engineering to design systems that are simple to use but flexible and durable - Deeply understand the technical and user-facing implications of models, pipelines, and performance, making thoughtful decisions that balance speed, safety, and usability - Extend our AI capabilities, evaluating where AI meaningfully augments core workflows - Champion a culture of technical excellence and thoughtful simplicity, ensuring product foundations scale with our customers - Anticipate long-term architectural needs, guiding the roadmap for the next generation of Attio’s platform - Shape the metrics and signals we use to guide platform decisions - Ensure a best in class customer experience that delights users and builds on the Attio brand WHAT YOU’LL BRING - Proven experience owning products, platforms, data models, or core infrastructure surfaces in a world class product. - You’ve shipped foundational systems. - A deep curiosity about how systems fit together. You enjoy diving into data models, untangling edge cases, and refining the foundations that critical systems rely on. - Strong technical depth and systems thinking. You’re comfortable reasoning about schemas, API design, and architectural trade-offs. - Comfort in navigating ambiguity. You can turn incomplete information into structured decisions and clear next steps. - Excellent product instincts. You know how to translate complex technical systems and customer problems into simple concepts and elegant user experiences. - Excellent communication and stakeholder management skills. You can effectively collaborate with cross-functional teams and articulate a clear vision. - Fluency in technical storytelling. You can can frame technical changes in ways that help GTM teams strengthen positioning and customer understanding. - Founder mentality. You take responsibility for outcomes end to end, and move strategical and tactical decisions forward. WHAT DOES THE HIRING PROCESS LOOK LIKE? Phone screen - Introductory call - Call with hiring manager Interviews - Meet with Product, Design and Engineering - Live workshop ~2 hours - The live workshop focuses on a real Attio problem and mirrors how we collaborate day to day. Offer stage WHAT WE OFFER - Competitive salary - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta and Split so far)

Location: Barcelona, Spain Workplace: hybrid Creating the payment platform shoppers love. Creating the payment platform shoppers love. We are SeQura, a modern, innovative and ambitious fintech company based in sunny Barcelona, born in 2013 with a single goal in mind: To be the preferred payment platform that helps people buy things they love paying in an instant, transparent, flexible and fairway. Today we have more than 4.000 merchants and offer all payment methods; “Pay Now”, “Buy Now Pay Later” or “Divide in 3”. A strong focus to generate a state-of-the-art experience for the consumers has led the company to an NPS rating of 88 by its more than 1 million Shoppers. This year we have an amazing opportunity, we are opening new markets such as Southern Europe and Latin America and that is why We Are Hiring, our high-performance team has almost 200 people. We enjoy working in a healthy culture that pursues a good balance between personal and professional life and encourages us to keep growing. Join our team, improve the world with us, collaborate with people's wellness, it's a challenging journey! Are you looking for an amazing opportunity? Keep reading... The Opportunity We are currently seeking a full-time Analyst, Structured Finance & Automation to join our Corporate Finance team — an early-career role sitting at the intersection of structured finance and AI-driven automation. This is a hands-on, execution-focused position ideal for someone in the first years of their career who is eager to learn the mechanics of structured finance while actively building the automated, AI-powered infrastructure that runs it. Reporting directly to the Head of Corporate Finance, you will own both the analytical rigour of our funding facilities and the automation mandate that is reshaping how we operate them. Day to day, you will support the full execution cycle across SeQura’s funding facilities — transfer of receivables, rebate and concentration-limit monitoring, financial reporting and compliance with facility documents — while actively building the automated workflows that make those processes faster, more reliable and easier to audit. Working closely with senior colleagues, you will contribute to financial modelling for new business lines, help build and review reporting, and validate that every receivable is correctly recognised. What sets this role apart is its AI mandate. We are looking for someone with a genuine eagerness to automate — getting hands-on with tools such as Claude, ChatGPT and other AI platforms to build automated workflows for controls, reconciliation and reporting, with guidance and support from the wider team on the more complex work. This is your place if you are proactive, hands-on, fluent with data, and excited to help build the automated, AI-driven backbone of a fast-growing fintech. If you are early in your career — including in consulting, advisory or audit — and want to move from advising on the numbers to working with them directly, you will feel right at home. What we are looking for • Dynamic and adaptable candidate who thrives in a fast-paced environment and suggests new ideas • Proactive thinker with a natural ability to communicate effectively with colleagues and clients • Openness to change and ability to easily adjust to shifting priorities and new challenges • Strong communicator and skilled listener who responds to the needs of others • Creative problem-solver who continuously looks for ways to improve processes and procedures • Comfortable working in a team environment and collaborates effectively with colleagues from different departments • Critical and analytical thinker who conveys ideas clearly and persuasively • Confident and assertive, yet empathetic and able to build strong relationships with clients and colleagues • Able to manage multiple projects and priorities simultaneously while maintaining high quality and attention to detail • Flexible and adaptable, thriving in an ever-changing business environment Your personal challenge In order to help our financial team to grow, you will be focusing on: Ensure data integrity across the Treasury and Facilities teams — maintaining accurate, complete and aligned data flows as the foundation that supports everything else. Support the operational and analytical execution across all of SeQura's facilities: transfer of receivables, rebate and concentration-limit monitoring, and monthly financial reporting. Help implement a single facility-management software platform — a key priority — making sure every legal agreement is faithfully tied to how the facility function actually operates, so contracts, controls and reporting all run from one source of truth. Ensure every step complies with how each facility is structured in its underlying documents, and validate that all receivables are correctly recognised and reported. Bridge contracts and code: review the facility agreements to extract the key parameters (interest rates, concentration limits, eligibility criteria) and verify that the same logic and values are correctly implemented in the production systems — so what runs in the platform always reflects what was legally agreed. Assist with financial modelling for new types of business, and help prepare recurring and ad-hoc reporting. Help coordinate with the range of stakeholders across the facilities, including lenders and potential equity investors, supporting senior colleagues on these relationships. Build AI-driven automations — using tools such as Claude, ChatGPT and similar platforms — to streamline controls, reconciliation and reporting workflows, learning and growing this skill set with support from the team. Support investor due diligence and help prepare presentations for lenders, equity investors and other counterparties. Collaborate in the preparation and development of investor and corporate-orientated materials, including quarterly earnings releases, investor presentations, Q&A, and other associated materials. Document processes and map workflows as you go — building a strong, traceable record of how the facility function operates to lay the groundwork for solid governance and internal-audit readiness. Cluster and maintain these automations in a central, well-documented repository so they work consistently across the finance function. Performs other responsibilities associated with this position as may be appropriate. Your first 6 months We have a clear ramp-up path designed to set you up for success: • Months 1–2 — Understand the business: get deep into the facilities, the Treasury–Facilities data flows and the underlying facility documents. • Months 3–4 — Generate small automations: identify repetitive controls and reconciliation steps and start automating them with AI tools. • Months 5–6 — Automate reporting and consolidate: build out automated reports, support the rollout of a single facility-management software platform, and cluster all your automations into a working, shared repository across the finance function. Apply with us if you ● A degree in Finance, Economics, Accounting or a related field is welcome, but not required — we care more about how you think and what you can build. ● 1–2 years of experience in finance — or a strong internship track record — with a consulting, transaction advisory or audit background (Big 4 / strategy / advisory) particularly welcome, and a great early-career move for someone switching from consulting into fintech. Experience at another fintech or financial-services company is equally valued. Recent graduates with the right drive are encouraged to apply. ● Proficient in spreadsheets, databases and financial software applications. ● Knowledge of Metabase, Tableau or Power BI will be a plus. ● Exposure to securitisation, structured finance or funding facilities (transfer of receivables, concentration limits, rebates) is highly valued. ● Strong capabilities in attention to detail and the ability to work in a fast-paced environment. ● Good research, quantitative, and analytical skills. ● Strong automation skills — hands-on use of Claude, ChatGPT or any other AI tool to build real workflows, controls and reports, with a genuine drive to push automation further (scripting / Python / SQL a plus). ● Well informed in current financial subjects, accounting, tax laws, money market and business environments. ● Excellent written and verbal communication skills in English. ● Spanish and/or Portuguese would be a plus, given our growth across Southern Europe and Latin America. ● Solid financial-modelling foundations — comfortable building and working in models, with the drive to develop towards owning them. ● A strong instinct for documentation and process mapping — you naturally write things down, map how a workflow runs, and keep a traceable record that supports governance and internal-audit readiness. ● Comfortable reading legal and commercial documents (facility agreements, term sheets) and translating their terms into numbers, controls and code logic. ● Exposure to lender or investor relations — reporting, due-diligence requests and presentation preparation — is a plus. ● High ownership and intellectual rigour, with the integrity to stand behind numbers that lenders, investors and auditors will rely on. Which are the next steps? (async) Profile review Interview with People Team Assessment Interview with future Manager (async) Offer Why choose SeQura? Right now we are going through an amazing moment, we are opening new markets such as Southern Europe and LATAM, and that’s why we are looking for ambitious and passionate people who want to join our healthy culture, made up of a high-performance team of about 400 employees. In SeQura we promote an equal opportunity to all, regardless of age, colour, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation or any other characteristic. We love to have an inclusive environment, and respect is above all.

Location: Sydney Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's Security team is growing, and we're looking for a Security Operations Manager to lead the strategy and execution of our security operations program. In this role, you'll build and scale the systems, processes, and tooling that help protect Figma and our community. You'll partner closely with Security Engineering, Platform Security, IT, GRC, and Legal to strengthen our detection and response capabilities, improve operational resilience, and help shape the future of our DART and SOC functions. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own Figma's security monitoring and incident response program, from detection engineering through post-incident review and continuous improvement Build and automate security operations workflows, including alert triage, enrichment, investigation, and response actions using SOAR and custom tooling Develop and maintain incident response run books, escalation procedures, and communication plans for security events of varying severity Lead incident response preparedness initiatives, including tabletop exercises, red team engagements, and response capability assessments Improve the effectiveness of our SIEM and SOAR platforms by reducing noise, increasing signal fidelity, and closing detection coverage gaps Build and operationalize threat intelligence capabilities to identify adversary behaviors, prioritize investments, and strengthen detection and response programs Partner with Legal, Privacy, and Communications teams to support breach notification and regulatory response obligations during significant security incidents Drive security operations strategy through vendor management, operational metrics, and cross-functional initiatives spanning IAM, vulnerability management, DLP, and exposure reduction We'd love to hear from you if you have: 7+ years of experience in security operations, incident response, or a related security engineering function Hands-on experience building and automating detection and response workflows using scripting, APIs, or security automation platforms Deep expertise with SIEM and SOAR technologies in a cloud-native or SaaS environment Demonstrated success building, scaling, or significantly improving a detection and response program Experience leading complex security incidents and partnering with Legal, Privacy, and business stakeholders during high-impact events While it's not required, it's an added plus if you also have: Operated in a public company environment with SOX, ISO 27001, SOC 2, or FedRAMP requirements Applied AI risk management frameworks such as NIST AI RMF, OECD AI Principles, or ISO 42001 Utilized AI-powered tools to automate security operations workflows and improve team efficiency At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $204,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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 VC Partnerships Lead at Anthropic, you will drive transformative growth and strategic alignment by forging and managing high-impact startup partnerships. You will drive the adoption of Anthropic's cutting-edge AI capabilities within the startup ecosystem. In this role, you will design and execute innovative programs that enable startups to easily access and utilize Anthropic's advanced AI models. Your goal will be to scale our reach and impact by engaging with startups directly and through the accelerator ecosystem. This is an individual contributor role with broad ownership — you'll operate with high autonomy, partnering closely with sales, marketing, and product teams to build and run our startup partnerships motion. Key responsibilities Develop and lead Anthropic's startup partnerships strategy, leveraging our AI technology and industry partnerships Build relationships with key VC firms, and entrepreneurial communities Create compelling startup-focused offerings, programs, and growth initiatives Cultivate strong relationships with current and new accelerator partnerships; build out relationship models, own touch points, and drive outcomes such that accelerator portfolio companies are choosing to build on Claude Plan and execute startup-focused events, campaigns, and promotions to drive awareness and adoption Gather product feedback and represent the needs of the startup community to inform Anthropic's product roadmap Track and report on key metrics to measure the success and ROI of startup initiatives Minimum qualifications Have 7+ years of experience in partnerships, founder/operator roles, growth, or technical GTM roles—we're looking for builders Have a deep understanding of the startup ecosystem and AI/ML technology landscape—can speak credibly about technical products to technical audiences Have built relationships with VCs, worked at a VC firm, or successfully partnered with accelerators to drive portfolio engagement Excel at 0-to-1 program building—comfortable building from scratch, wearing multiple hats, and scaling based on data Proven ability to develop and execute complex, cross-functional go-to-market programs Possess exceptional communication skills—outstanding writer who crafts narratives for founders, developers, and VCs Thrive in fast-paced environments with bias to action and comfort with ambiguity BA/BS degree or equivalent practical experience Preferred qualifications Founded a company or led product at a high-growth startup Direct experience working for or with venture capital firms like Y Combinator, Lightspeed Ventures, Accel, a16z, Sequoia Capital Technical background—former developer, PM with hands-on coding experience, or deep familiarity with AI/ML development workflows Developer advocate or developer relations background with active presence in technical communities Familiarity with large language models and their applications in generative AI Existing relationships with venture capital firms, startup accelerators, and entrepreneurial communities 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: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: NYC (SoHo) Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Replit is experiencing extraordinary growth across our customer base and seeking a Mid-Market Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth. In this role you will: - Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention - Champion customer success by helping businesses realize the transformative potential of AI-powered software creation - Lead onboarding programs that accelerate customer time-to-value and platform adoption - Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools - Execute renewal processes with a focus on expansion and long-term partnership development - Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot) - Gather and communicate valuable customer feedback, championing their interests within Replit - Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance Required skills and experience: - 3-5+ years of experience in Customer Success, Commercial Account Management, or technical sales role, preferably in SaaS or developer tools - Excellent communication skills, with the ability to explain technical concepts to non-technical audiences - Proven track record of meeting or exceeding renewal and expansion revenue targets - Experience managing customer relationships from onboarding through renewal and expansion - Proficiency in using CRM systems and customer success tools (e.g., Hubspot) - Ability to quickly learn and articulate the value of new technologies to diverse customer segments - Strong problem-solving skills and consultative approach to customer challenges - Self-motivated with excellent time management and organizational skills for managing multiple accounts - Passion for technology and staying current with industry trends, particularly AI and automation - Experience with or strong interest in AI is a plus - Comfort with data analysis to drive customer success metrics and identify growth opportunities Nice to have: - You're an active Replit user - You've worked at an early-stage startup or in developer tools - Experience with rapid prototyping, product development workflows, or business process automation - Background in customer success at companies serving technical or semi-technical user bases - Degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience) Tools + Tech Stack for this role: - Replit - Hubspot CRM - Customer success and analytics platforms - ZoomInfo - LinkedIn Sales Navigator - Hashboard, Hex - Various customer communication and project management tools This role may not be a fit if: - You're not passionate about helping customers succeed and driving long-term relationships - You lack an understanding of the software development lifecycle or have little interest in learning about technical workflows - You're not excited about AI and its potential to transform how businesses operate - You don't enjoy being in client-facing roles where 80% of your day is talking to customers - You prefer transactional interactions over building deep, strategic relationship This is a full-time role that can be held from our NYC office. This role has an in-office requirement. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Remote US What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote, US (West Coast) Compensation Range: $100,000-$125,000 base plus bonus and equity. This role may be eligible for on-call/call-in pay in addition to base pay *The initial training period for this position will be Monday-Friday. Following training, the work schedule is subject to change and may include weekend or a 4x10 shift, depending on business requirements* What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyberattacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts coming in from the Huntress platform. Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks, where possible, and provide remediations needed to remove the threat. Perform tactical malware analysis as part of investigating and triaging alerts. Investigate suspicious Microsoft M365 activity and provide remediations. Assist in escalations from the Product Support team for threat-related and SOC-relevant questions. Contribute to detection engineering creation and tuning efforts. Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!). What You Bring To The Team: 4+ years of experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: New York HQ; Santa Barbara, CA Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As an Implementation Manager at Avoca, you'll own post-sales onboarding for our customers, serving as a hybrid of product expert, hands-on technical consultant, and project manager. You'll get into the technical details of home service companies, advising on integrations, AI prompt configurations, and product setup to ensure every implementation achieves client goals, hits time-to-value targets, and delivers an exceptional experience. This is a highly cross-functional, client-facing role. You'll partner closely with CS, Sales, Product, and Engineering while managing multiple implementations simultaneously, balancing hands-on execution with strategic guidance.   WHAT YOU’LL DO - Lead end-to-end implementations, owning project management, stakeholder communication, and client accountability from kickoff through go-live. - Gather and document client business requirements and translate them into clear technical specifications that achieve customer goals through product expertise and best practices. - Configure and iterate on prompting and workflows to drive call handling quality, conversion rates, and revenue impact. - Partner with Product and Engineering to stay current on new features and build repeatable implementation playbooks and scalable success frameworks. - Design and deliver tailored training and education on Avoca products to drive client proficiency and product adoption. - Lead testing efforts including configuration QA, client testing coordination, and issue triage and resolution to ensure high-quality deployments. - Provide go-live support by coordinating launch activities, monitoring production volume, and transitioning clients to post-launch teams seamlessly. - Advocate for product improvements that matter most to implementation clients. - Requires flexibility to travel to client sites.   WHAT YOU'LL BRING - 2-5 years working at B2B startups in software implementation, technical account management, solutions architecture, or technical customer success, or more than 4 years of overall experience. - Demonstrated fluency with APIs, webhooks, and integration patterns, including the ability to read and discuss payloads, auth models, and error handling. - Experience configuring prompting, workflow logic, and system integrations in AI, SaaS, or enterprise software contexts. - Strong project management skills with experience managing multiple concurrent software delivery projects for B2B clients. - Clear, direct communicator who can simplify complexity for both technical and non-technical audiences. - Self-motivated and comfortable operating in fast-moving, high-growth environments, with a track record of owning processes end-to-end.   WHO YOU ARE - Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments. - Thrives on owning processes end-to-end and balancing multiple initiatives simultaneously. - Autonomous, self-directed, and comfortable working with ambiguity. - A proactive and effective communicator. - Collaborative, organized, and efficient. - Eager to work in person at our NYC or Santa Barbara office full-time.   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected base salary for this role is $130,000-$170,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments. WHAT YOU'LL DO - Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces. - Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. - Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time. - Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. - Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. - Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute. - Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap. WHAT WE'RE LOOKING FOR - Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion. - Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments. - Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models. - Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets. - Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code. - Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics. - A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve? - Retrieval: How do we ground answers in a customer’s knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user? - Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality? - Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency? - Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agents) - Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? - Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC https://sierra.ai/blog/agent-development-life-cycle) - Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO As a Software Engineer, Infrastructure at Sierra, you will be responsible for designing, building, and maintaining the core systems that make our AI platform possible. You’ll focus on making Sierra’s infrastructure secure, reliable, and scalable, enabling product teams to deliver with speed and confidence. - Ensure the reliability, scalability, and performance of our platform and LLM inference serving as we rapidly grow traffic. - Build and maintain cloud infrastructure using Terraform to ensure scalable, secure, and reproducible environments. - Create and maintain a self-serve infrastructure platform that enables the rest of engineering to deploy and operate services. - Own and evolve CI/CD pipelines and release management, enabling fast, reliable deployments for Sierra’s platform. - Architect and operate distributed systems that leverage distributed databases, retrieval systems, and ML models. - Develop and maintain core data serving abstractions along with authentication and security features (SSO, RBAC, authentication controls). - Navigate and integrate our stack with enterprise customer environments in scalable and maintainable ways. - Enhance observability tooling (metrics, logging, tracing) to provide deep visibility into platform health and performance. - Lead and participate in incident management, improving system resilience through proactive monitoring, root cause analysis, and postmortems. WHAT YOU’LL BRING - Strong software engineering background with 5–7+ years of hands-on development experience in highly technical products. - A strong inclination towards building automation, tooling, and platform, along with designing maintainable systems. - Proven experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform preferred). - Hands-on expertise in CI/CD systems, release management, and container orchestration (e.g., Docker, Kubernetes). - Experience with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry, etc.). - Experience in incident response and operating distributed systems in production. - Degree in Computer Science or related field, or equivalent professional experience EVEN BETTER… - Production experience working with LLMs and machine learning models. - Background in distributed systems, running SaaS services at scale, and agentic architecture. - Familiarity with security and authentication protocols (OAuth, SSO, mTLS). - Previous experience in a fast-paced startup environment or platform/infra-focused team. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Espoo Workplace: OnSite ROLE HIGHLIGHTS: - Harness Manufacturing Technician - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: R&D Satellite Build & Lab Maintenance Team Lead - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: The Harness Manufacturing Technician role is critical to the success of both our ground testing infrastructure and next-generation satellites. By manufacturing high-quality harnesses and evaluating the manufacturability of new cable designs, this role helps ensure reliability, efficiency, and continuous improvement throughout the product development cycle. Cables are the vital interfaces that connect every subsystem, enabling communication, power distribution, and seamless operation across the satellite. As the threads that bring complex systems to life, every harness built contributes directly to mission success. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES - Harness manufacturing for testing setups or satellites - Evaluate manufacturability of harness designs and provide feedback to designers - Assemble and install wiring harnesses and cable assemblies for satellite systems according to drawings and work instructions. - Handle wires, connectors, shielding, and protective coverings with precision and care. - Prepare and maintain documentation, traveler sheets, and quality records. - Assist in troubleshooting and rework of harness assemblies under supervision. - Perform inspections, continuity checks, and basic electrical tests on harness assemblies. - Train new joiners and colleagues in harness manufacturing - Follow cleanroom and ESD handling procedures. - Apply workmanship and quality standards (especially IPC/WHMA-A-620). WHAT WE’RE LOOKING FOR Must haves: - Bachelor degree - +2 years Hands-on manufacturing experience with electronics assembling and harnesses manufacturing - Experience in soldering - Familiarity with crimping, soldering, wire stripping, lacing, and connector assembly. - Ability to read and interpret assembly drawings, wiring tables, and work instructions. - Basic knowledge of workmanship standards such as IPC/WHMA-A-620 - Fluency in English - A positive attitude and a desire to learn new things Nice to haves: - Previous experience in space, aerospace, or defense harness assembly. - Familiarity with coaxial or shielded cable assembly. - Exposure to harness testing tools (continuity testers, pull test machines). - Experience in Jira Software - IPC/WHMA-A-620 certification (CIS or CIT). APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Practical on-site technical evaluation - Domain manager / Director 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. 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. 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: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We're looking for a Principal Program Manager to join the Strategic Program Management team in San Francisco. This is a senior individual contributor role where you shape how Fin’s highest-priority objectives get set up for success and delivered. Reporting to Senior Manager, Strategic Program Management, you'll work directly with senior leaders across every org to turn ambiguous, high-stakes company goals into programs that deliver on their goals. You'll also raise the bar for how program management works at Fin, building the systems and practices that make the whole team, and those that work with you, better. What will I be doing? Partner directly with execs and senior leadership to define programs of work that enable Fin to hit its highest priority company objectives Take a holistic view across programs, connecting the dots back to company strategy and surfacing gaps, misalignment, or opportunities to streamline Take ambiguous, high-stakes problems and drive them to clarity - defining the right structure, roles, and decision-making frameworks, often from scratch Drive cross-functional decision-making by identifying the right stakeholders, surfacing the information they need and recommendations Proactively identify program risks and anticipate change before it happens, driving action to course-correct and maintain momentum Set and raise the bar for how program management works at Fin - creating new frameworks, challenging existing processes that aren't working, and feeding learnings back into how the team operates Hold people accountable at every level, from workstream drivers to exec sponsors, ensuring progress and ownership across complex, cross-functional programs Mentor and develop teammates, making the people around you better and faster Evangelize program management across the company - shaping how other teams and orgs think about execution, collaboration, and ways of working What skills do I need? You have 8+ years of experience in program management with a track record of leading large, complex, cross-functional programs in a fast paced AI/SaaS B2B environment with an evolving strategy Proven experience working directly with senior level leadership, you’re comfortable engaging with and influencing senior executives and leadership to get to the right outcome High ownership and agency, with the ability to manage multiple high-profile, high-visibility programs simultaneously in a fast-paced environment A strategic thinker who connects execution to company strategy, spots gaps across programs, and understands how mission, product, and financial plan tie together You are solutions oriented and proactive when it comes to taking action to solve problems and mitigate risks You have strong facilitation and stakeholder management skills with a track record of bringing together senior-level viewpoints and driving alignment You’re an excellent self-starter with a track record of seamless execution on complex programs with minimal guidance You've built and significantly improved program management practices, frameworks, or ways of working at a previous company Excellent communicator who can flex between an exec room and a cross-functional working group, adapting style and depth to the audience Experience mentoring or developing others, whether direct reports or peers - you make the people around you better *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $189,000-$225,750. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . 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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 As an Enterprise Account Executive for Digital Native Business based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Japan's internet services, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations. Key responsibilities Own and exceed revenue targets by winning net-new logos across Japan's digital native companies, including internet services, gaming, e-commerce, SaaS, fintech, and media Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models Preferred qualifications 8+ years of sales experience in Japan with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to territory and account prioritization combined with high-energy, persistent execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Japanese and English What we offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.