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Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT US: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. ABOUT THE ROLE: Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day. We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role. You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day. WHAT YOU'LL ACHIEVE: - Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS. - Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS. - Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools. - Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift. - Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection. - Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse. - Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream. - Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC. SKILLS YOU NEED TO BRING: - Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company. - Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM). - Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments. - Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration. - Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors. - Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level. - Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC. NICE TO HAVES: - Experience at a fast-growing tech or AI company where the security program had to outpace headcount. - A background in IT engineering, SRE, or production engineering that transitioned into security engineering. - Experience building internal security tooling or workflows that improved employee or developer experience. - Contributions to the security community through open-source tools, blog posts, or conference talks. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $200,000 - $220,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: 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: 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: Barcelona, Spain Workplace: hybrid ⚓ About Click&Boat Click&Boat is a rental platform product of Boats Group, the fastest-growing digital business in the recreational boating space. We are a talented team of techies, creatives, marketers, closers and customer advocates who spend each day pushing the boundaries of technology to make buying, selling & renting boats easy. We spend each day surrounded by 500,000 boats from across the globe! Click&Boat is the European leader in boat rentals. Our marketplace makes boating accessible around the world, from a day trip to a week-long adventure, while enabling private and professional boat owners to generate additional income through rentals. To support this growth, we are hiring a Sales Executive to join our dynamic team in Barcelona and contribute to delivering tailor-made boating experiences to our French speaking clients. 🚤 The role We’re looking for a Sales Executive to join our crew in Barcelona. In this role, you will play a key part in the French Market of the Sales Team, a business unit of around 40 people, managing French-speaking clients interested in booking boat rentals. You’ll also work closely with the Supply and Customer Care crew members to deliver a seamless and high-quality experience to our users. If you're excited about marketplaces, fast-paced environments, and building meaningful solutions, you might be exactly who we’re looking for. 🛟 What floats your boat You will be responsible for the following tasks, which will vary according to the time of the year: Understanding our customers' needs and advising them on their boat search. Find the best deals for our customers by negotiating the best options with Click&Boat boat owners. No cold calling, only warm leads already in your pipeline. Maximizing the conversion rate by applying Sales strategies, and accompanying customers throughout the sales process until its conclusion, providing them with all the information relating to their booking. Ensuring customer satisfaction and loyalty so that they think of Click&Boat the next time they go sailing. You will have a reachable annual target, which may be distributed on a monthly and/or four-monthly basis. Over-performance is rewarded . To maximize the reactivity and customer satisfaction, we are used to working on Saturdays. You will be required to work at least one Saturday per month following a planning given in advance (you will get a recuperation day off then to ensure 2 days off per week). 🧭 What you bring aboard You are a native French and fluent in English . Ideally with one or two years of previous successful working experience in Sales. You manage autonomously your entire Sales cycle, from the understanding of the need to the closing and the upsell of the client. You are a team player who inspires trust, is ready to take the initiative, and is distinguished by a customer-satisfaction-driven attitude. 🌊 Bonus points (great to have, never a dealbreaker) The knowledge of another language is highly valued. If you have a boating background and interest, it’s even more perfect! 🗺 The hiring journey Intro call with Talent Acquisition Interview with your future manager Final chat with our VP Sales and COO We aim to keep things smooth, transparent, and respectful of your time throughout the process. What awaits you aboard 🚀 A fast-growing international company with real impact; 💻 Remote work policy: 1 day per week, depending on periods of the year and seniority; 🌴 5 additional days off; 📖 Extensive internal training; 🥪 Lunch vouchers (Cobee); 💪 Gym partnerships (Wellhub); 🚤 Boat licence offered and exclusive discounts on your next boat trips; 🥐 Breakfast every Tuesday morning; 🌊 A welcoming office in Barcelona, next to the centrally located Cathedral and just a 20-minute walk from the sea; 🎉 Team-building activities. Full-time contract starting January 11th, 2027. The starting compensation package is 30k€ , including an uncapped variable component representing 20% of the target package. The final package may vary depending on experience. 🪝 Ready to come aboard? If this opportunity sounds like your next adventure, hit "apply to this job". At Click&Boat, every application is reviewed with equal care and attention, strictly based on merit and regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic. We are committed to an inclusive process and will provide reasonable accommodations upon request during both selection and employment — because we hire for talent, drive, and mindset, and the sea is open to all. 🌊

Company Description SCAYLE Payments enables smooth and innovative payment processes in the ABOUT YOU online fashion store, including the introduction of new marketplace functionalities. As a subsidiary of ABOUT YOU Group and a Federal Financial Supervisory Authority (BaFin)-regulated Payment Services Supervision Act (ZAG) institute, SCAYLE Payments takes care of all important aspects of payment transactions: From the integration of payment service providers and payment methods at the Online-Fashion-Stores checkout to the deposit and payout processes of end customers and merchants. The team’s objective is to make payment transactions in e-commerce simpler, safer, and future-oriented. Job Description Own the design and delivery of scalable backend systems across the payment lifecycle (PHP 8.3) Drive architectural decisions and evolve systems towards scalable, event-driven and distributed designs Lead complex technical initiatives end-to-end, from discovery to production and iteration Champion engineering excellence through TDD, CI/CD, and continuous delivery practices Mentor and support other engineers through pairing, feedback, and knowledge sharing Proactively identify and address system, process, and scalability challenges Qualifications 6+ years of backend engineering experience, with strong expertise in PHP Proven track record of designing and scaling distributed systems in production environments Deep experience with APIs, data storage solutions (PostgreSQL, Redis), and messaging systems (Kafka, RabbitMQ, SQS) Strong understanding of cloud-native systems and infrastructure (e.g. Kubernetes, containerized environments) Solid architectural knowledge (microservices, event-driven, hexagonal) and ability to apply it pragmatically High ownership mindset with the ability to lead, mentor, and influence technical direction Additional Information Main Benefits Flexible working times 40% discount on our ABOUT YOU online shop Fresh fruits + drinks everywhere Language courses (German & English) Free sports courses & reduced price for Wellpass membership Subsidized public transportation ticket Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage Modern office in the city center of Hamburg International working environment and English as company language Agile work environment and cross-functional teams Dog-friendly office Professional training Company pension plan Help in relocation and VISA process (Benefits may vary depending on location)

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: 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: European Union Workplace: Remote About the Role We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape - Game Engine. This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production. This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios. You’ll be part of a, experienced Core team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness. If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters - this role will feel like home. Key Responsibilities - Own, maintain, and evolve Playson’s Game Engine. - Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages. - Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks. - Contribute to the development and support of game engines used to run mathematical logic within our platform. - Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform. - Work with data structures and protocols that connect game logic with frontend and backend systems. - Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour. - Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting. - Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators. - Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives. - Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain. - Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour. - Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents. - Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential. Requirements - Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments. - Strong background in C++ and experience working with legacy C++ systems. - Good understanding of software architecture, code quality, testing, debugging, and maintainability. - Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic. - Experience reviewing complex code and providing clear technical feedback. - Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected. - Strong problem-solving skills and ability to work with complex, non-standard technical challenges. - Experience working with production systems where reliability, accuracy, and correctness are critical. - Understanding of backend systems, APIs, data flows, and service-to-service communication. - Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists. - Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain. - Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance. - English communication skills sufficient for working in an international environment. Nice to Have - Experience in iGaming, gambling, betting, game development, or casino games. - Experience working with game engines, mathematical engines, simulation tools, or game logic frameworks. - Experience with Node.js/TypeScript. - Understanding of regulated markets and compliance requirements in iGaming. - Experience with ClickHouse or other analytical/columnar databases. - Experience with monitoring, alerting, and production diagnostics. - Experience with AI-assisted code review or automated validation tools. - Knowledge of microservices architecture and distributed systems. - Familiarity with Kafka, gRPC, Kubernetes, or AWS. - Experience integrating third-party games, external studio products, or wrapper-based solutions. - Ukrainian language skills would be a plus. What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment Process - HR interview - Technical interview (with Live coding) - Final interview Join us today! By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and help participants learn and grow through exposure to quant finance, AI, and ML concepts, and in addition, potentially earn compensation based on the quantity and quality of their ideas. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: WorldQuant is seeking exceptional individuals to join as AI Researchers. In this full-time role, you will work in of Artificial Intelligence (AI) and Large Language Models (LLMs), applying techniques to develop  quantitative models for WorldQuant’s BRAIN platform. As part of this role, you will: Conduct research in AI and LLMs, experimenting with advanced architectures such as Transformer models, Reinforcement Learning, and Generative AI. Design, train, and fine-tune LLMs and other AI models to extract insights, and generate signals Apply AI concepts to create and enhance alphas on the BRAIN platform. Analyze large-scale financial datasets to seek to uncover patterns and build models using statistical, mathematical, and machine learning techniques. Collaborate with platform development teams to design and test new functionalities and datasets. Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications. What You’ll Bring: Technical Expertise : Strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs; proficiency in Python and C++; familiarity with PyTorch or TensorFlow. Quantitative Skills : Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial datasets is a plus. Educational Background : Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields from a leading university. Research Mindset : Creative problem solver with a passion for experimentation and unsolved challenges; strong interest in financial markets. Collaborative Skills : Ability to work in a team-oriented culture; excellent communication and presentation skills in English. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! Visit https://www.worldquant.com/brain/ for more information about WorldQuant BRAIN. #LI-NV1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: New Delhi, India; Pune, India; Philippines Top 3 Reasons To Join Us Competitive salary, strong equity and sales incentive package Working on the latest tech for the insurtech market leader Shaping the future of the insurance industry About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global next-gen insurance platform for health, life, and P&C We work with insurance enterprise clients such as AXA, Bupa, MSIG, Marsh, Sun Life, Dai-ichi, and many more We have been recognized as the leading insurtech company by Fortune, Financial Times, CNBC, Statista, Asia Insurance Review and many others We're an international, diverse team of over 250 people with 40 nationalities and team members working remotely from all over the world We are backed by reputable VC funds and strategic institutional investors We have a global presence and clients in Asia, Europe, the Middle East, Africa, North America and Latin America We have built one of the fastest growing insurtech ecosystems with over 100K followers on LinkedIn We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do CoverGo is looking for a Product Solutions Consultant to lead the solution-consulting and product demonstration experience across the sales cycle. Sitting at the intersection of Sales, Product, and Delivery, you will run tailored platform demos, facilitate discovery and solution-design workshops, and translate insurer requirements into compelling, configured demonstrations of the CoverGo platform. You are someone who actively uses AI tools as a force multiplier — to draft faster, research deeper, and operate at a pace that keeps up with a high-velocity sales environment. You should be comfortable engaging both technical evaluators and C-level decision-makers, and confident owning the technical narrative that wins enterprise insurance deals. Lead tailored product demonstrations of the CoverGo platform across health, life, and P&C use cases, adapting the story to each insurer's priorities Design and facilitate discovery calls, solution-design sessions, and client workshops to understand, analyze, and clarify requirements and scope Build and configure proof-of-concept insurance products in the CoverGo platform to showcase capabilities and features to clients Use AI tools (e.g. LLMs, prompt engineering, AI-assisted research) as a core part of the workflow — to generate demo scripts, draft RFP/RFI responses, produce proposals, and accelerate content turnaround across the presales cycle Partner with the Sales team throughout the sales conversion process, providing solution consulting that advances and closes opportunities Translate client requirements into solution overviews, value propositions, and techno-commercial proposals Collaborate with Solutions Architects, Product, and Engineering/Delivery teams on feasibility, effort estimation, and the best solution approach for each client Support the handover to the Delivery team once deals are closed-won, and help lead project kick-off meetings Provide enablement and training to develop clients' usage of the platform through technical information and guidance Build and maintain a reusable library of demo assets, templates, and a presales knowledge base to scale the function and reduce repeat effort Any other task that may be assigned What We Need Bachelor's degree in Insurance, Technology, Business Administration, Sales, or a related field 5+ years of experience in presales, solution consulting, sales engineering, or pre-sales business analysis Strong experience working in the insurance or insurtech industry is required Strong proficiency with AI tools (e.g. ChatGPT, Claude, Gemini, Copilot, or equivalent LLM-based tools) and the ability to apply them practically to presales workflows such as demo prep, content creation, and proposal writing is required Demonstrated experience delivering demos, workshops, and presentations to enterprise and C-level audiences Solid understanding of insurance business processes across at least one line of business (e.g. product setup, underwriting, pricing, policy administration, endorsements, billing, renewals, and/or claims) Experience configuring and demonstrating SaaS platforms; exposure to no-code or low-code platforms is an advantage Exceptional presentation and communication capabilities in written and verbal English, proficiency in other languages is an advantage Strong storytelling ability able to make platform value tangible and relevant to each audience Excellent facilitation, interpersonal, and stakeholder-management skills with the ability to engage an audience Why You'll Love Working Here International Environment Health Insurance Company activities and team offsites Diverse, talented and fun team to work with Open communication and flat hierarchy Global mobility opportunities Training and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Dubai, United Arab Emirates We are looking for a friendly and efficient Receptionist for our Salon to provide excellent customer service and ensure smooth front desk operations. The Receptionist will be the first point of contact for clients, managing appointments, inquiries, and supporting the overall salon experience. Key Responsibilities Greet and welcome clients warmly upon arrival. Manage appointment scheduling and confirmations via phone, email, and in-person. Answer client inquiries regarding services, pricing, and promotions. Maintain a clean and organized reception area. Handle cash, card payments, and maintain accurate transaction records. Assist with inventory management and order supplies as needed. Support marketing activities and client retention initiatives. Requirements Previous experience in a receptionist or customer service role, preferably in a salon or hospitality environment. Excellent communication and interpersonal skills. Ability to multitask and manage time effectively. Professional appearance and a friendly, approachable demeanor. Basic computer skills and familiarity with appointment management software. Fluency in English is required; knowledge of additional languages is a plus. Benefits Competitive salary and commission structure. Ongoing training and development. Modern and well-equipped work environment.

Location: Dubai, United Arab Emirates We are seeking a professional, well-presented, and customer-focused Receptionist to join our medical clinic in Dubai. The ideal candidate will be the first point of contact for patients and visitors, ensuring a welcoming experience while efficiently managing front-desk operations. The successful candidate must have previous experience working in a medical clinic, hospital, healthcare center, or similar healthcare environment and possess excellent communication and organizational skills. Key Responsibilities Greet and assist patients, visitors, and healthcare professionals in a courteous and professional manner. Manage patient appointments, cancellations, and rescheduling through the clinic management system. Answer incoming phone calls, emails, and inquiries promptly and professionally. Register new patients and maintain accurate patient records. Verify insurance details and coordinate with insurance providers when required. Handle patient check-ins and check-outs, including billing and payment collection. Coordinate with doctors, nurses, and administrative staff to ensure smooth daily operations. Maintain confidentiality of patient information in compliance with healthcare regulations. Ensure the reception area remains clean, organized, and welcoming. Assist with administrative tasks, documentation, filing, and reporting as required. Requirements Minimum 2 years of experience as a Receptionist, Front Desk Executive, or Patient Coordinator in a medical clinic, hospital, dental clinic, or healthcare facility. Currently based in Dubai, UAE. Excellent verbal and written communication skills in English. Proficient in Microsoft Office and clinic/hospital management software. Strong customer service and interpersonal skills. Ability to multitask and work efficiently in a fast-paced healthcare environment. Professional appearance and positive attitude. Knowledge of medical terminology and insurance processes will be an advantage. Arabic language skills are a plus. Benefits Competitive salary package. Professional and supportive work environment. Career growth opportunities within the healthcare sector. Annual leave and UAE labor law benefits. Health insurance and other company benefits as applicable. If you are passionate about providing exceptional patient service and have experience in healthcare front-desk operations, we would love to hear from you.

Location: Dubai, United Arab Emirates We are seeking a Receptionist to join our team! The Receptionist serves as the first point of contact for visitors and callers, ensuring a professional, welcoming, and organized front desk experience. This role combines customer service, administrative support, and communication responsibilities to support the overall efficiency of the office. Key Responsibilities: Front Desk Operations: Greet and assist visitors in a polite and professional manner. Manage incoming calls, emails, and messages. Maintain a clean and organized reception area. Customer Service: Provide accurate information about EGSH and direct visitors to the correct departments. Handle inquiries and minor complaints courteously. Administrative Support: Schedule appointments and meetings as required. Manage incoming/outgoing mail and office supplies. Support general clerical tasks (filing, data entry, photocopying). Coordination & Communication: Liaise with internal departments and external contacts. Assist in preparing materials for meetings or staff onboarding. Professionalism & Compliance: Maintain confidentiality and uphold EGSH standards. Ensure reception area follows safety and access protocols. Requirements Previous experience in a receptionist or administrative role. Strong communication and interpersonal skills. Proficiency in MS Office and standard office equipment. Professional appearance and attitude. Fluent in English and local languages. Benefits Competitive salary and commission structure. Ongoing training and development. Modern and well-equipped work environment.

Location: Dubai, United Arab Emirates Laser Specialist - Dubai, UAE We are seeking a licensed and experienced Laser Specialist to join the team in Dubai. The ideal candidate will have a proven track record of performing laser treatments within the region and a strong technical proficiency with the Soprano laser system. This role focuses strictly on technical laser operations and treatments, rather than broader aesthetic or skin-care profiles. Job Description The Laser Specialist will be responsible for administering safe, precise, and effective hair removal and laser treatments using the Soprano apparatus. You will handle the end-to-end client treatment process, from assessing skin types and machine settings to providing post-care advice. Ensuring strict adherence to Dubai Health Authority (DHA) guidelines and maintain high safety and hygiene standards is central to this role. Responsibilities Perform laser hair removal and other specialized laser treatments using the Soprano laser apparatus . Conduct initial consultations to evaluate client skin type, medical history, and suitability for treatment. Calibrate and set laser parameters accurately based on individual client profiles and safety protocols. Explain the treatment process, manage client expectations, and provide comprehensive pre- and post-care instructions. Maintain detailed, accurate logs of client treatments, settings used, and progress. Ensure the laser equipment is properly maintained, sanitized, and operating safely before every session. Adhere strictly to UAE healthcare regulations, safety standards, and clinic sanitation policies. Requirements A valid Laser Specialist Certificate is mandatory. Proven hands-on experience operating the Soprano laser apparatus. Minimum of 2–3 years of professional experience working specifically as a Laser Specialist within Dubai/UAE. Deep understanding of skin types (Fitzpatrick scale), laser physics, and safety protocols. Strong communication and interpersonal skills to build trust and comfort with clients. Excellent command of English (additional languages are an asset). Note: This position is specifically for a dedicated technical laser operator; a broader aesthetician/dermatology profile is not required. Benefits - Full-time position, on-site in Dubai - Competitive salary - Opportunity to work in a premium, fast-growing clinic - Professional growth and long-term career prospects

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,500 — $228,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.