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Location: United States (Remote) Workplace: Remote SUMMARY Infrastructure Foundations builds and operates the multi-cloud platform underneath Temporal Cloud, turning the complexity of AWS, Google Cloud (GCP), and Azure into one cohesive platform the rest of Temporal builds on. Every cell we run is provisioned, managed, and safely changed by systems this team owns. When a customer's workflow runs, it runs on our work. We are heading into the next stage: Kubernetes-based infrastructure platforms built for the next orders of magnitude of growth.   We are looking for a Senior Software Engineer to own big pieces of that platform end to end. You will take a high-level problem, shape it into a well-designed solution, build it (mostly in Go), ship it safely, and help run it in production. There is a lot of greenfield here: new cloud footprints, high availability and disaster recovery, declarative infrastructure, and the tooling every other engineering team uses to ship.   What makes this team different   - Real multi-cloud, not multi-cloud on a slide. We run across AWS, GCP, and Azure and keep extending the platform to new providers. You will work through the differences between clouds, not around them. - We build Temporal Cloud with Temporal. Cell creation, component deployment, and cloud provisioning run as Temporal workflows. You will get deep in both infrastructure and the product itself. - Real greenfield next to real production. HA/DR for our control infrastructure, a declarative model for the whole platform, and new regions, all while keeping a live platform reliable. - Everything sits on top of it. Nearly every team at Temporal depends on what we build, so the impact of your work shows up quickly.   Responsibilities   - Multi-cloud platform: Build the provider-specific pieces behind one consistent platform, from EKS, GKE, and AKS cluster differences to IAM, networking, and quotas. Help stand up new regions and extend the platform to new providers end to end, so other teams never have to think about which cloud they are on. - Cluster and cell lifecycle: Own the systems that provision, upgrade, recover, and decommission Kubernetes clusters, node pools, and Temporal Cloud cells. Become the engineer who can implement any component in this area. - Workflows and APIs: Write the Go services, Kubernetes controllers, and Temporal workflows behind automated cell creation, component deployment, and cloud resource provisioning. Keep the APIs straightforward for the teams that use them. - Declarative infrastructure: Ship versioned component definitions that cover Kubernetes workloads and the cloud resources behind them. Build drift detection, change previews, and safe reconciliation so engineers know what is deployed and what is about to change. - Safe change: Build progressive rollouts, rollout sequencing, and change visibility into the platform, and keep blast radius small by design. Estimate the performance and reliability impact of a design with data before it ships. - Reliability and operations: Join the team's on-call rotation and step up during incidents. Get to the bottom of the "mysterious" issues by digging into Kubernetes clusters, workflow histories, and dashboards, then fix the system so it doesn't happen again. Actively prevent tech debt and cut toil with better runbooks, metrics, and automation. - Ownership and growth: Lead projects on your own, from clarifying fuzzy requirements to pulling in the right people to a well-tested launch. Contribute to the design of the platform's major pieces, write clear design docs, and be someone others seek out for code reviews on significant changes. Mentor less senior engineers and help interview the next ones. - Collaboration: Partner with Traffic, Control Plane, Developer Productivity, Security, and service owners to deliver secure defaults.   Qualifications - 8+ years building software, with significant time on infrastructure or distributed systems in production. - Hands-on experience building and operating Kubernetes-based infrastructure at scale, including cluster lifecycle, upgrades, resource management, and recovery under failure. - Strong coding skills in Go or another systems language, and interest in making Go your primary language. - Deep experience with at least one major public cloud (AWS, GCP, or Azure), including IAM, networking, and quotas. Multi-cloud experience is a big plus. - A record of owning production systems: on-call, incident response, postmortems, and the fixes that follow. - A record of leading projects on your own, from an unclear problem to a well-designed, well-tested result. - Clear written communication. You can explain a design and its tradeoffs in a doc others can act on. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience.   Required Skills - Designing with provider differences in mind: knowing where clouds diverge and building so those differences don't leak into the teams on top. - Distributed-systems fundamentals, including concurrency, consistency, failure handling, and idempotency. - Infrastructure as code and declarative thinking with Terraform, Helm, or similar tools, and a working understanding of reconciliation. - Operational judgment: knowing when to ship, when to slow down, and how to roll back.   Preferred Experience - Multi-cloud production experience is the biggest plus for this role. Building or operating infrastructure on more than one of AWS, GCP, and Azure, especially standing up a new provider or region, or abstracting the differences between them. - Writing Kubernetes controllers or operators, or working with cloud resource controllers like Crossplane or AWS Controllers for Kubernetes (ACK). - Running Karpenter, Helm, and Terraform in production. - High availability and disaster recovery work, such as multi-region data layers, automated recovery, and deployments built to survive regional outages. - Temporal or other durable workflow orchestration.   Tech you'll work with - Languages: Go (primary) - Infrastructure: Kubernetes (EKS, GKE, AKS), Karpenter, Helm, Terraform, and Temporal (we dogfood extensively) - Cloud providers: AWS, GCP, Azure Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Network Development Engineer - WAN & Edge, you will design, automate, and operate resilient connectivity between data centers, cloud environments, external networks, and the internet. Your work will span routing, firewalls, traffic engineering, and production troubleshooting. This is a hands-on role for an experienced network engineer who can build, test, debug, and review production-grade automation. Networking depth and strong software-engineering judgment matter more than familiarity with any particular language, platform, or tool.   WHAT YOU WILL DO - Design and evolve resilient inter-site, cloud, and internet connectivity for large-scale AI infrastructure. - Own external BGP policy and traffic engineering at the edge, including route filtering, failover, and capacity planning. - Build API-driven automation for edge routing, firewalls, VPNs, carrier connectivity, and network segmentation. - Coordinate with carriers, cloud connectivity providers, colocation partners, and vendors on design, provisioning, incident escalation, and service improvement. - Design safe change workflows with automated validation and resilience testing, staged rollouts, observability, rollback, and recovery. - Participate in on-call rotation, troubleshoot active WAN and edge incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization.   WHAT WE’RE LOOKING FOR - Deep, hands-on WAN and edge networking experience across internet connectivity, data-center interconnect, private WAN, or cloud networking. - A track record of taking external BGP designs from whiteboard to production and debugging them during production incidents. - Experience integrating and troubleshooting stateful firewalls, NAT, asymmetric routing, and redundant edge designs on at least one major routing or firewall platform. - Experience building or operating production network automation using network-management APIs and data models. You understand desired state and idempotency; relevant technologies might include REST, NETCONF, gNMI/OpenConfig, Ansible, or Terraform. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Operational troubleshooting experience using routing and flow state, packet captures, link health, telemetry, and logs to diagnose production incidents. - Clear, pragmatic communication and effective stakeholder management. You can translate technical needs into connectivity designs and provider requirements, define acceptance criteria and service-level expectations, and provide technical leadership.   NICE TO HAVE - Experience with FortiGate, FortiManager, or comparable edge and firewall platforms. - Deeper specialization in external connectivity, such as public-cloud or hybrid-cloud interconnect, or internet transit and peering. - Exposure to edge security and scale techniques such as RPKI and route-origin validation, DDoS mitigation, or global traffic engineering. - Familiarity with streaming telemetry, network source-of-truth systems, and configuration-compliance tooling. - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, or other declarative, reconciliation-based systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Dublin, Ireland WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and customer success planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re a builder who loves helping customers solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts, ensuring customers expand their use of Notion and as a result, Notion sees high NRR - Partner closely with the Solutions Consultant on account strategy for expansion and renewal, including owning the renewal opportunity for flat and at-risk customers - Shape customer outcomes, strengthen executive and team-level partnerships, and contribute directly to predictable revenue through retention, renewal, and expansion impact - Design and deploy workflows that solve specific business problems as a build-beside partner to the customer, translating goals into durable systems in Notion - Partner with Solutions Consultants on account strategy, customer planning, and identifying and qualifying expansion opportunities within existing accounts - Co-define, build, and manage against customer success plans that help every customer achieve their desired objectives and realize measurable value - Learn Notion’s product and the broader AI ecosystem inside and out so you can be the best build-beside partner for customers navigating new ways of working - Innovate and iterate on Outcomes Architect programs that retain and grow customers while mitigating churn or contraction risk SKILLS YOU'LL NEED TO BRING: - Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and genuine comfort building live in software—you can co-design, configure, and troubleshoot with customers in the room - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working - Fluency in English and Italian NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Familiarity with usage-based or consumption-based models and the ability to connect adoption patterns to commercial outcomes - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €89,000 - €100,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff Software Engineer on the Infrastructure team, you'll scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work with research and product teams to build systems that keep pace as their needs change. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This helps us match you with the team where you'll have the most impact. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Make architectural decisions that shape the foundation other engineers and teams build on Drive alignment on technical direction across teams, working through ambiguous problem spaces Partner with research and product teams to understand their infrastructure and compute needs, and turn them into technical designs Own the reliability, scalability, and security of the systems you build as usage and complexity grow Set technical strategy and standards for your team's infrastructure Build and improve operational processes such as incident response, postmortems, and on-call rotations, so the team learns from every incident Mentor other engineers and help raise the technical bar for the team Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A history of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions that other engineers and teams build on Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP Strong written and verbal communication skills, with experience driving alignment across teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure such as GPUs, TPUs, or Trainium, and associated networking like NCCL Low-level systems experience, such as Linux kernel tuning or eBPF Background in security or privacy engineering best practices Prior experience as a technical lead or mentor for other engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating with design partners toward a public beta. In your first year, you'll lead major features from an unclear problem through release, help shape scope with product and users, mentor other engineers, and influence technical decisions across agent workflows and evaluation methods. What you’ll do Lead backend features from early product discussions through technical design, implementation, rollout, and post-launch learning. Build the flows, application programming interfaces, and data models behind agent-generated work items, implementation plans, durable specifications, and mergeable code. Develop evaluation and benchmarking systems that measure workflow quality, token cost, and success rate. Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs. Coordinate multi-person projects across the team and communicate decisions clearly in GitLab's asynchronous, all-remote environment. Mentor other engineers and contribute to technical direction across the Plan group and related artificial intelligence initiatives. Work in short iterations, share progress through demos, and use results and user feedback to guide what comes next. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Strong Ruby on Rails experience in a large production codebase and production experience with Python. Experience driving substantial projects with several engineers over multiple months, with clear user or business outcomes. A product mindset and experience owning features end to end, including shaping scope, making trade-offs, engaging with users, and learning from adoption after launch. A full stack background with a current focus on backend engineering, plus the ability to read modern frontend code and design effective APIs. Strong application programming interface design and structured query language fundamentals. Experience exploring artificial intelligence-assisted development. The ability to work independently, collaborate across functions and regions, and support others through technical leadership and mentoring. Experience with GraphQL, PostgreSQL performance at scale, or building and evaluating large language model or agent systems is helpful but not required. We welcome candidates with different backgrounds and transferable experience. If you're excited about the role but don't meet every qualification, we encourage you to apply. About the team We are a team of four engineers, with two backend and two frontend engineers across Canada and Europe. You'll work in an all-remote, async-first environment with weekly sync calls, retrospectives, demos, and short iterations. This is early-stage work with broad ownership, space for creativity, and a fast pace. For more about our team and its work, see Plan Team Handbook Page and Spec-Driven Development Initiative How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud signals, and downstream customer platforms. Own secure authentication and account flows end to end, including MFA, step-up authentication, device binding, consent, and adaptive authentication logic. Automate CIAM infrastructure and deployments using Infrastructure as Code and CI/CD pipelines, treating identity as a core platform service. Monitor, debug, and optimize CIAM services for performance, resilience, and abuse detection in high-scale environments. • What we look for Strong experience designing and implementing CIAM systems, with deep, hands-on knowledge of OAuth 2.0, OIDC, SAML, and SCIM beyond basic configuration. 5+ years of professional backend software engineering experience Strong production experience in Python or a similar backend language Experience designing APIs, automation frameworks, and distributed systems Hands-on experience building and maintaining CI/CD pipelines Experience with GitHub-based development workflows and Buildkite or similar build systems Experience with cloud-native development, preferably AWS Hands-on experience extending and integrating CIAM platforms such as Okta, Auth0, Ping Identity, ForgeRock, or Azure AD B2C using custom code, hooks, and APIs. Solid understanding of backend and distributed systems fundamentals, including API design, data modeling, latency, error handling, and observability. Experience with Infrastructure as Code and automation tools such as Terraform, plus CI/CD pipelines for deploying backend services. Strong security fundamentals applied through engineering, including access control models, token handling, encryption, MFA, and privacy by design. Clear communication skills and the ability to work closely with product, frontend, mobile, and security teams while owning backend identity services. Familiarity with tools such as Cursor and other AI-augmented development environments Base Pay Grade - P Equity Grade - USA 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is building the next generation of customer identity and authentication. This role is a hands-on engineering position inside Information Security, focused on designing and shipping core CIAM capabilities that protect customers and support growth. You will build and operate backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work closely with partner engineering teams and ensure identity features are delivered with strong security fundamentals, reliability, and operational rigor. • What you'll do You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. Design, build, and operate core CIAM backend services that support customer registration, authentication, authorization, account lifecycle, and profile management for B2C and B2B platforms. Implement and extend identity standards such as OAuth 2.0, OIDC, SAML, and SCIM in code, ensuring correctness, scalability, and clean integration patterns. Develop backend APIs and services in Python and Kotlin that expose identity capabilities to web, mobile, and partner applications. Integrate CIAM platforms with internal systems, including user data stores, messaging, fraud signals, and downstream customer platforms. Own secure authentication and account flows end to end, including MFA, step-up authentication, device binding, consent, and adaptive authentication logic. Automate CIAM infrastructure and deployments using Infrastructure as Code and CI/CD pipelines, treating identity as a core platform service. Monitor, debug, and optimize CIAM services for performance, resilience, and abuse detection in high-scale environments. • What we look for Strong experience designing and implementing CIAM systems, with deep, hands-on knowledge of OAuth 2.0, OIDC, SAML, and SCIM beyond basic configuration. 5+ years of professional backend software engineering experience Strong production experience in Python or a similar backend language Experience designing APIs, automation frameworks, and distributed systems Hands-on experience building and maintaining CI/CD pipelines Experience with GitHub-based development workflows and Buildkite or similar build systems Experience with cloud-native development, preferably AWS Hands-on experience extending and integrating CIAM platforms such as Okta, Auth0, Ping Identity, ForgeRock, or Azure AD B2C using custom code, hooks, and APIs. Solid understanding of backend and distributed systems fundamentals, including API design, data modeling, latency, error handling, and observability. Experience with Infrastructure as Code and automation tools such as Terraform, plus CI/CD pipelines for deploying backend services. Strong security fundamentals applied through engineering, including access control models, token handling, encryption, MFA, and privacy by design. Clear communication skills and the ability to work closely with product, frontend, mobile, and security teams while owning backend identity services. Familiarity with tools such as Cursor and other AI-augmented development environments Base Pay Grade - P Equity Grade - USA 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Role: We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging. *This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements. What You Will Do: - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability What You Will Bring: - 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field Compensation - Annual salary range: $160,000-$195,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's users are among the most sophisticated professionals - from managing partners and practice leaders at global law firms to GCs and legal operations executives in-house, and tax and finance leaders adopting AI across their organizations. These professionals are navigating a fundamental shift in how their work gets done. Reaching them starts with deeply understanding the realities of that work: the problems worth solving, the outcomes that matter, and the questions and skepticism that come with adopting AI. Our best campaigns turn that understanding into ideas and experiences that are useful, credible, and relevant to where each audience is on that journey. The Integrated Campaigns Lead will build the function responsible for doing exactly that. You'll set Harvey's global integrated campaign strategy: defining our priority audiences, sharpening how we position Harvey, and designing coordinated programs that build awareness, deepen engagement, and drive growth. You'll establish the campaign operating model, prove what works, and build the team and capabilities to scale it globally. This is a strategic player-coach role with meaningful influence across the company. You'll shape go-to-market priorities alongside leadership across marketing, product, GTM, and you'll stay close enough to the work to write the message, understand the data, and improve the campaign when it matters. WHAT YOU'LL DO - Set Harvey's global integrated campaign strategy. Define the audiences, segments, narratives, and campaign architecture that build relevance with our audiences and drive awareness, engagement, pipeline, and revenue. - Turn audience insight into differentiated positioning. Develop messaging rooted in primary research, customer insight, competitive intelligence, and demonstrated use cases. Build claims on evidence and create narratives sophisticated audiences find credible. - Translate company priorities into market-facing programs. Partner with Product, Sales, and business leaders to develop marketing strategies around Harvey's most important growth initiatives, connecting what matters to the business with what matters to our audiences. - Orchestrate the full marketing system. Bring together digital, social, communications and analyst relations, alliances, events, field marketing, and other channels into cohesive global campaigns, spanning major launches, category-building moments, and always-on programs. - Build the measurement system. Define the KPIs, dashboards, attribution signals, and operating cadence that connect campaign investment to audience and business outcomes. - Build the team and operating model. Design how the campaigns function works, hire exceptional marketers, and develop them into strategic owners of audiences, programs, and business outcomes. - Raise the creative and strategic bar. Establish what great campaign thinking looks like at Harvey, from the quality of the insight and sharpness of the message to the craft of the execution and rigor of the measurement. - Build an AI-native campaign engine. Apply AI across audience research and modeling, creative development, experimentation, personalization, localization, and performance analysis. Develop repeatable approaches that raise the capabilities of the broader marketing organization. WHAT YOU HAVE - 8+ years of B2B marketing experience, including significant ownership of integrated campaigns, demand generation, or go-to-market programs within enterprise software or high-growth SaaS. - A record of building and scaling. You've created teams, programs, or operating models and know how to introduce structure without introducing unnecessary process. - Experience building and leading exceptional teams. You've hired, developed, and retained high-performing marketers. - Strong commercial instincts. You've owned multi-million-dollar investments and understand how to connect marketing decisions to audience impact, pipeline, revenue, and ROI. - Exceptional positioning and messaging judgment. You know how to get from audience research and market insight to a differentiated point of view, and you're a strong enough writer to do the work yourself when the stakes are high. - Exceptional cross-functional influence. You've orchestrated digital, social, communications, analyst relations, partnerships, events, and field marketing as one system rather than optimizing a single channel in isolation. - Hands-on fluency with AI. AI is already part of your campaign workflow. You have informed opinions about where it meaningfully improves marketing, and where human judgment remains the advantage. - A player-coach operating style. You're comfortable setting strategy with senior leaders and equally comfortable opening the doc, digging into the dashboard, rewriting the brief, or working through the details with the team. - Comfort with ambition and ambiguity. You can create clarity where there isn't yet a playbook, move quickly without lowering the bar, and build systems that become more sophisticated as Harvey grows. COMPENSATION $196,000 - $269,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-BG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's users are among the most sophisticated professionals - from managing partners and practice leaders at global law firms to GCs and legal operations executives in-house, and tax and finance leaders adopting AI across their organizations. These professionals are navigating a fundamental shift in how their work gets done. Reaching them starts with deeply understanding the realities of that work: the problems worth solving, the outcomes that matter, and the questions and skepticism that come with adopting AI. Our best campaigns turn that understanding into ideas and experiences that are useful, credible, and relevant to where each audience is on that journey. The Integrated Campaigns Lead will build the function responsible for doing exactly that.You'll set Harvey's global integrated campaign strategy: defining our priority audiences, sharpening how we position Harvey, and designing coordinated programs that build awareness, deepen engagement, and drive growth. You'll establish the campaign operating model, prove what works, and build the team and capabilities to scale it globally. This is a strategic player-coach role with meaningful influence across the company. You'll shape go-to-market priorities alongside leadership across marketing, product, GTM, and you'll stay close enough to the work to write the message, understand the data, and improve the campaign when it matters. WHAT YOU'LL DO - Set Harvey's global integrated campaign strategy. Define the audiences, segments, narratives, and campaign architecture that build relevance with our audiences and drive awareness, engagement, pipeline, and revenue. - Turn audience insight into differentiated positioning. Develop messaging rooted in primary research, customer insight, competitive intelligence, and demonstrated use cases. Build claims on evidence and create narratives sophisticated audiences find credible. - Translate company priorities into market-facing programs. Partner with Product, Sales, and business leaders to develop marketing strategies around Harvey's most important growth initiatives, connecting what matters to the business with what matters to our audiences. - Orchestrate the full marketing system. Bring together digital, social, communications and analyst relations, alliances, events, field marketing, and other channels into cohesive global campaigns, spanning major launches, category-building moments, and always-on programs. - Build the measurement system. Define the KPIs, dashboards, attribution signals, and operating cadence that connect campaign investment to audience and business outcomes. - Build the team and operating model. Design how the campaigns function works, hire exceptional marketers, and develop them into strategic owners of audiences, programs, and business outcomes. - Raise the creative and strategic bar. Establish what great campaign thinking looks like at Harvey, from the quality of the insight and sharpness of the message to the craft of the execution and rigor of the measurement. - Build an AI-native campaign engine. Apply AI across audience research and modeling, creative development, experimentation, personalization, localization, and performance analysis. Develop repeatable approaches that raise the capabilities of the broader marketing organization. WHAT YOU HAVE - 8+ years of B2B marketing experience, including significant ownership of integrated campaigns, demand generation, or go-to-market programs within enterprise software or high-growth SaaS. - A record of building and scaling. You've created teams, programs, or operating models and know how to introduce structure without introducing unnecessary process. - Experience building and leading exceptional teams. You've hired, developed, and retained high-performing marketers. - Strong commercial instincts. You've owned multi-million-dollar investments and understand how to connect marketing decisions to audience impact, pipeline, revenue, and ROI. - Exceptional positioning and messaging judgment. You know how to get from audience research and market insight to a differentiated point of view, and you're a strong enough writer to do the work yourself when the stakes are high. - Exceptional cross-functional influence. You've orchestrated digital, social, communications, analyst relations, partnerships, events, and field marketing as one system rather than optimizing a single channel in isolation. - Hands-on fluency with AI. AI is already part of your campaign workflow. You have informed opinions about where it meaningfully improves marketing, and where human judgment remains the advantage. - A player-coach operating style. You're comfortable setting strategy with senior leaders and equally comfortable opening the doc, digging into the dashboard, rewriting the brief, or working through the details with the team. - Comfort with ambition and ambiguity. You can create clarity where there isn't yet a playbook, move quickly without lowering the bar, and build systems that become more sophisticated as Harvey grows. COMPENSATION $196,000 - $269,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-BG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Build and maintain unit, integration, load and performance testing frameworks - Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc. - Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover. - Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time. - Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested. - Create project templates and shared libraries so new services start with a complete testing setup on day one. - Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities. - Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy. REQUIREMENTS - Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers. - Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them. - Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management. - Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them. - Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments. - Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale. - A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company. This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science Own the Population Health team and their outputs as a core responsibility Own your team's roadmap and delivery: what gets built, in what order, and whether it ships Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them A bias toward action, quickly translating ideas into working prototypes to test approaches Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Lead end-to-end technical solution design and drive implementation across the organization Spearhead AI engineering adoption (AI-assisted development, AI code review, AI-powered observability, AI-driven operations automation, etc.) Proactively resolve complex technical challenges across business lines, improving efficiency and quality through technical innovation Design and optimize high-concurrency, distributed system architectures; explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection Provide technical guidance and training to business teams, driving the adoption and standardization of AI + engineering capabilities Requirements Must-Have I. Core Engineering & Architecture Proficient in Go or Java concurrent programming with deep understanding of high-concurrency system design and optimization Hands-on experience with distributed services and distributed storage; familiar with microservice architecture design Solid knowledge of Linux OS and system-level understanding of middleware (etcd, Nacos, Kafka) Expert-level proficiency in gRPC framework with development and performance tuning experience Skilled in using profiling tools, Arthas, and Linux command-line utilities for system analysis and troubleshooting II. AI & Intelligent Systems AI engineering mindset with understanding of LLM fundamentals, capability boundaries, and practical engineering applications Ability to evaluate AI's impact on system stability, security, cost, and compliance from an architectural perspective Clear understanding of AI's "assistive role" in engineering — avoiding over-reliance while leveraging its strengths III. Experience & Education Bachelor's degree or above 3+ years of relevant development experience Strong communication skills and collaborative spirit Preferred Qualifications Hands-on experience implementing AI-assisted development/code review (Copilot, Claude, DeepSeek, etc.) at the engineering team level Practical application of AI in log analysis, distributed tracing, performance profiling, and anomaly detection Design experience with AI knowledge augmentation (RAG) or tooling systems based on internal data (code, logs, metrics, documentation) Open-source project contributions Sustained technical blog or knowledge-sharing track record Nice-to-Have Experience designing financial systems, trading systems, or high-reliability systems AI-driven observability, automated operations, or stability engineering experience Deep familiarity with open-source middleware internals (Redis, Kafka, etc.) Microservice governance, service discovery, and configuration center design experience Proven track record in high-performance architecture design or AI engineering implementation Core Competency Matrix Technical Skills (High Priority): Go/Java concurrency, distributed architecture, middleware, gRPC, performance tuning AI Engineering (High Priority): LLM understanding, AI-assisted development adoption, RAG/tooling design Project Experience (High Priority): High-concurrency systems, distributed storage, microservice architecture Problem Solving (High Priority): Profiling, Arthas, Linux command-line troubleshooting Communication (Medium Priority): Technical training, cross-team alignment, solution evangelism Industry Background (Medium Priority): Finance/trading/high-reliability systems Role Characteristics Core Positioning: A hybrid AI + Architecture role that requires not only traditional distributed systems expertise but emphasizes AI engineering adoption capabilities. Key Differentiators: Must lead AI capability implementation at the engineering level — not merely use AI tools Must evaluate AI's impact on systems from an architectural perspective (stability, security, cost, compliance) Must drive AI + engineering capability adoption and standardization across teams Interview Focus Areas Distributed Architecture: High-concurrency design, microservice architecture, middleware selection and tuning AI Engineering: Depth of LLM understanding, AI implementation experience, awareness of AI limitations Problem Solving: Complex troubleshooting experience, performance optimization case studies Driving Adoption: Technical solution advocacy experience, cross-team collaboration skills Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking an experienced Portfolio Manager to help expand our Equity Capital Markets (ECM) investment strategy across the Americas region. The position combines direct P&L responsibility (ECM and aftermarket opportunities mandate) and entrepreneurial tasks related to branding and positioning of the franchise. The successful candidate will be responsible for broadening and strengthening key-stakeholder relationships, leading our live ECM deal interactions, building the ECM investment pipeline, and driving the build-out of our Americas (US, CA, LatAm) ECM investment franchise in close coordination with the global ECM investment team. What you will do in this role: Manage day-to-day ECM agenda engagement Lead live deal engagement and market sounding procedures Execute on aftermarket opportunities Build-out key stakeholder relationships with private equity sponsors, advisors, corporates, state entities, and others. Maintain regular dialogue with equity syndicate desks across the region Build-out key stakeholder relationships with private equity sponsors, advisors, corporates, state entities, and others. Help build our ECM investment pipeline through private company engagements Position DRW as a top-tier ECM investor in the Americas region Expand non-standard transaction activity (increase participation in bilateral trades, club deals, and other bespoke ECM transactions) Requirements: We are seeking an experienced Portfolio Manager to help expand our Equity Capital Markets (ECM) investment strategy across the Americas (US, CA, LatAm) region. This is a hands-on, revenue-generating role that combines risk-taking responsibilities as part of a regional ECM investment mandate with business and relationship development responsibilities. The position carries P&L responsibility within DRW ECM investment strategy mandate, including aftermarket opportunities. Our strategy centers on in depth fundamental analysis in an ECM and general event context (Spin-offs, private/public, listing migrations, other non-M&A events, etc.) and an unconstrained duration framework. The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-AC1]