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Location: CCA THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE Hardware at Halter is truly unique. We design and build devices that are fitted to an animal, and must remain operational 24/7 for 6-10 years out in the field. To achieve this, we iterate and improve our products continuously, so a mechanical role at Halter can be quite diverse. We own our designs right the way through, from sketching how a device might fit on an animal, to testing in the lab to see how it might break, to spending time on the production line finding ways to improve the product. We like to do things quickly, no matter which phase of the design we're in, which makes the role fast-paced and adaptive. We're endlessly challenged by our farmers, our animals, and our lofty production targets; so there's never a dull day. For the next stage, we need talented, disciplined mechanical engineers who know how to develop hardware. With plenty of new markets and revenue streams to unlock, there will be no shortage of exciting mechanical projects, all of which require problem solving, critical thinking, and the ability to execute to a high standard. These projects will offer ample opportunity for up-skilling, leadership, mentorship and career development. At Halter, our teams are small and agile, which means you get to work on the most important projects, and contribute to the company's success, whatever your role may be. 2027 will be Halter's biggest year yet, and this is your chance to be a part of it. WHAT WOULD BE VALUABLE: - Highly reliable device design. - Experience developing robust products. E.g. automotive, agricultural or military. - Exposure to the full product life cycle. - Understand the challenges of outdoor hardware. - Verification and validation. - Designing, conducting and documenting high quality tests. - Injection Molding: - Experience designing complex injection molded parts, specifically overmolding. - Experience in setting up contract manufacturers to produce high quality injection molded parts. - Experience with tool commissioning at contract manufacturers. - Design for Manufacture (DFM) and Design for Assembly (DFA): - Designing and iterating parts and assemblies to make them easy to manufacture and easy to assemble. - Designing for and selecting processes for high volume manufacturing. WHAT YOUR DAY COULD LOOK LIKE - High ownership and high accountability. You have to be committed to the mission and drive success for yourself, for the team, and for the organization. - Rapid hands-on development delivering robust electro-mechanical products through to production. - Time spent on the farm with our farmers, ranchers and animals. If you like cows, you'll love working in the mechanical team as we have a strong focus on ergonomic design. - Collaborating with external suppliers to optimise designs and streamline manufacturing processes. We spend a lot of time at our suppliers in China and Thailand and we encourage our engineers to problem solve at the factory. - Be part of, and contribute to, a high performance team. We want you to add to the culture and push growth within the team. We want drivers not passengers. - We'll never lose our start-up culture, so you'll be rolling your sleeves up and helping with whatever is required to make our customers and cows happy. OTHER REQUIREMENTS - A Bachelor's Degree in Mechanical Engineering or a similar field is highly desired. - 3+ years of professional experience ideally working on robust hardware. - Capable with 3D CAD and 2D drafting, preferably using Solidworks or Onshape. - Interested and available to travel for 10-20% of the year (negotiable). OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential: Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Distribution: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use Care deeply about investing in the mentorship and growth of your peers Have experience with distributed systems, API design, and cloud infrastructure at scale Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ireland About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data accuracy Ability to work with global teams across time zones Clear communication skills About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. Responsibilities Design, implement, and maintain backend services for data storage and enrichment using Go Build and maintain pipelines for processing, validating, and enriching trading data. Optimize data storage schemas, queries, and performance in PostgreSQL . Collaborate with other engineering teams to integrate services and maintain system reliability. Participate in architectural discussions and contribute to long-term platform design. Write high-quality, maintainable, and tested code; review peers’ work. Support monitoring, troubleshooting, and incident resolution What makes you the perfect fit 5+ years of professional backend development experience, with strong proficiency in Go . Experience with relational databases, preferably PostgreSQL , including schema design, query optimization, and performance tuning. Strong understanding of data pipelines, batch and near-real-time processing. Experience designing fault-tolerant, high-load backend systems . Familiarity with distributed systems and microservices architecture. Excellent problem-solving skills and ability to collaborate with multiple teams. Will be a plus Experience with data enrichment, aggregation, or transformation pipelines. Knowledge of caching layers, indexing, or time-series data storage. Familiarity with streaming systems (Kafka, RabbitMQ, or similar). Experience in financial/trading domain. Exposure to cloud environments, containerization, and CI/CD practices. What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Tbilisi, Georgia Workplace: remote NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. As the Product Manager for Engagement & AI Game-Based Learning, you will own the "non-live" student experience. Your goal is to transform the Novakid Kid’s Area from a supplementary area into a significant driver of engagement for young kids. You will lead the development of self-guided English learning games and integrate cutting-edge AI-based self-practice tools that encourage children to speak more, practice safely, and stay motivated between their 1:1 teacher sessions. Focus: Kid’s Area, Self-Learning Games, AI Features, Learning Engine What you’ll do Lead a small team of designers and developers (with access to analytical and research resources). Design and scale features like Pandy AI Tutor to provide 24/7, judgment-free speaking practice for students across various proficiencies. Own the roadmap for current and future gamified worlds, focusing on LLM based learning mini-games that reinforce curriculum-aligned vocabulary and grammar. Use AI to create adaptive learning paths that adjust game difficulty and content in real-time based on a child’s performance in both live classes and self-study (Learning Engine). Work with engineering to refine Speech-to-Text and AI prompting logic to maximize student speaking time—aiming for the high-engagement levels seen in AI-only learning models. Design and manage the "Economy of Fun," including avatars, star rewards, and other gamification features that compete for a child's attention against mainstream apps. Work closely with designers, engineers, curriculum developers, and teacher operations to turn user insights into high-quality educational content and engaging UX. What you’ll have 4+ years’ experience in a PM role. Hands-on experience in AI-powered features (prompt engineering, conversational AI, or adaptive algorithms). Strong background in mobile gaming or highly gamified EdTech, with a deep understanding of reward systems, level progression, and retention hooks for kids. Proven ability to build interfaces for 4–12-year-olds that are intuitive, safe, and require zero parental intervention. Proficiency in analytical tools to analyze engagement metrics and game-completion rates. Manage the Agile process with our engineering team, ensuring that prototypes are delivered and scaled with technical excellence. You thrive in a 100% remote, distributed team environment and are a master of tools like JIRA and Slack. Excellent spoken and written English. What we offer Fully remote work A chance to shape the future of AI-driven education A fun, dynamic team that loves building innovative products Unlimited holidays, because we trust you to deliver

Location: Algiers, Algeria About P.I. Works P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and drive quality and efficiency. Our solutions are currently deployed across 84 mobile network operators in 58 countries . At the core of our success is a culture built on integrity, trust, and respect. We are looking for a Technical Delivery Engineer to lead the delivery of our mobile network products, focusing on next-generation automation and maintaining high-level engagement with our customers. Job Description You will be responsible for delivering and tuning next-generation radio network automation solutions. This role requires a blend of deep technical expertise and strong stakeholder management to ensure project goals align with both company direction and customer expectations. Key Responsibilities: Deploy and tune automated optimization solutions based on operator requirements to maximize product value. Act as the primary technical point of contact, managing stakeholder expectations and ensuring project alignment. Lead technical meetings, monitor network KPIs, prepare feature activation reports, and perform acceptance tests. Conduct product demos, training sessions, and workshops for both project delivery and pre-sales activities. Provide support for active customers and relay critical technical feedback to our product and development teams. Work effectively in agile environments to ensure continuous evolution and delivery of automation tools. Required Qualifications 5+ years of hands-on experience in RAN Optimization (2G/3G/4G/5G) . Deep knowledge of at least one major vendor ( Ericsson, Huawei, or ZTE ). A versatile, quick learner who can easily adapt to new technologies and automated tools. Excellent customer-facing skills with the ability to manage complex stakeholder relationships. Proven ability to work in agile environments and manage expectations based on project goals. Degree in Electrical/Electronic Engineering or Telecommunications Engineering. Proficient in English (written and spoken). Eligible to work in Algeria Preferred Skills Prior experience with SON (Self-Organizing Networks) or RAN feature and parameter trials. Familiarity with IT/Software systems and SQL knowledge. Prior experience with Algerian operators is a plus.

Location: Remote, Canada; Remote, United Kingdom; Remote, US 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. As a Staff Backend Engineer in the Developer Experience group, you’ll work cross-functionally to help us identify and improve the engineering experience across GitLab’s internal engineering teams. We’re at a pivotal time in transforming our testing approach and development experience to enable engineers to deliver high-quality code efficiently and with confidence. Developer Experience currently has six, globally distributed teams of Backend Engineers and Software Engineers in Test. This role will work across the entire group to help us identify and remove the biggest points of friction that affect development at GitLab. Expect to split your time between hands-on coding in Ruby and Go, designing scalable solutions and helping every team deliver.  You’ll be instrumental in shaping our engineering culture across GitLab. This is a highly visible role with strong company-wide support. You’ll be instrumental in shifting our culture and practices toward a cohesive Developer Experience Platform strategy—backed by buy-in and appetite for change. Some examples of our projects Project Examples In this role, you may lead projects such as: Internal developer platform adoption: Build and evolve platform capabilities that make it easier for engineering teams to create, deploy, operate, and scale services on Kubernetes. Kubernetes-based service onboarding: Define reusable service templates, deployment workflows, configuration patterns, and operational guardrails for teams adopting the platform. Developer workflows and test environments: Build development, CI, and test environments that reflect production Kubernetes behavior — including third-party operators and the custom resources services depend on — sequencing CRD establishment, controller readiness, and dependent workloads so engineers get a working environment rather than a partially reconciled one, across both local and remote clusters. Platform reliability and observability: Partner with infrastructure and service teams to improve rollout safety, troubleshooting, service health, resource management, and operational visibility across Kubernetes workloads. What You'll Do Lead and grow a team responsible for developer tooling and internal platform capabilities used by engineering teams to build and operate services. Set and execute a roadmap for Kubernetes-based developer workflows, balancing developer experience, platform reliability, security, and operational efficiency. Guide the design of reusable onboarding and deployment patterns for services running on Kubernetes, including workloads, networking, configuration and secrets, identity, storage, observability, progressive delivery, and the custom resources and controllers that services depend on. Make environment bring-up and teardown deterministic — resolving readiness and ordering dependencies between CRDs, controllers, and the workloads that rely on them — so engineers get reproducible environments instead of intermittent failures. Partner with infrastructure, security, and application teams to turn Kubernetes capabilities into simple, well-supported workflows rather than requiring every service team to become a Kubernetes expert. Establish engineering standards, documentation, automation, and feedback loops that improve adoption and reduce the time required to bring a service from development to production. Coach engineers through architectural decisions, incident follow-up, and production operations while maintaining a clear focus on sustainable team delivery. Represent the team with technical and organizational stakeholders, communicate tradeoffs clearly, and use adoption and reliability measures to guide prioritization. Take part in on-call or operational support where your team’s ownership model requires it. What You'll Bring Deep experience building developer tooling, DevEx platforms, testing frameworks, or CI/CD systems at scale. Strong hands-on Go experience designing, implementing, testing, and operating production-quality services, command-line tools, automation, or platform tooling. Experience contributing to Ruby-based systems is also valuable for this role. Practical Kubernetes experience building or operating production workloads and platform capabilities, including deployments, services, networking, configuration and secrets, observability, resource management, and troubleshooting. Depth in Kubernetes deployment lifecycle: Helm-based deployment and release management, kubeconfig and multi-cluster context handling including deploying into clusters you don't own, and integrating third-party operators and their custom resources (CloudNativePG, cert-manager and similar) into working environments — including the readiness and ordering problems that come with them: waiting on CRD establishment, controller availability, and custom resources reaching their own definition of ready. Experience authoring a controller or operator is useful but not required. Experience designing scalable solutions that improve engineering productivity, test reliability, development environments, or delivery workflows across multiple teams. Demonstrated ability to provide technical leadership and influence without authority across engineering, infrastructure, security, and product functions. Familiarity with DevOps workflows, CI/CD pipelines, release automation, and production operations. Strong written and verbal communication skills in a remote-first environment. A product mindset with a passion for empowering developers through simple, reliable, and well-documented workflows. Alignment with GitLab values, especially collaboration, iteration, and transparency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $131,600 — $282,000 USD 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: New York City Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a People Operations Launch Specialist , you will help launch new Via deployments and take ownership of the People Operations work required to ensure our teams are ready for successful service launches. You will work cross-functionally across the business to bring together the people, processes, and systems required to stand up new operations. This is a fast-paced, highly cross-functional role that combines project management, problem-solving, and operational execution. This role requires a willingness to travel based on the needs of our launches. What You'll Do: Launch new Via services, taking ownership of the People Operations workstreams required to ensure new operations are staffed, supported, and ready to begin service on time and at the highest possible quality, while contributing to the strategic decision-making and entrepreneurial approach required to establish Via operations in new markets Manage comprehensive People Operations launch project plans across multiple concurrent deployments, including key milestones, dependencies, risks, and timelines Coordinate critical workforce readiness activities — hiring and onboarding, payroll and benefits implementation, HR systems, employee documentation, policies, and compliance — collaborating closely with Operations, Expansion, Recruiting, Payroll, Benefits, Legal, IT, and local market teams Serve as a key People Operations partner to local operational leaders and employees throughout the launch process, identifying and resolving complex or time-sensitive issues that could impact workforce readiness or launch timelines, and supporting workforce transitions and employee and labor relations matters — including partnering with union representatives and internal Labor and Legal teams where applicable Provide guidance following service launch to help stabilize new operations, address workforce and operational challenges, and support the transition into steady-state operations Identify opportunities to improve and standardize Via’s launch processes, developing scalable tools, processes, and best practices that can be applied across future deployments Who You Are: Effective at managing multiple complex, time-sensitive projects at once — taking ownership, working independently, and driving stakeholders toward deadlines Highly organized and meticulous, with exceptional attention to detail and follow-through, and an eye for risks and dependencies before they become problems A strong problem solver who is comfortable in ambiguity and builds creative, practical solutions where no playbook exists An excellent communicator who builds strong relationships across employees, operational leaders, cross-functional partners, and senior stakeholders Adaptable and entrepreneurial, moving easily between strategic planning and the details required to keep a launch on track, while continuously improving processes and building scalable solutions 3+ years of relevant experience in People Operations, HR, operations, project/program management, consulting, or another highly cross-functional environment, plus a Bachelor's degree and a record of strong academic and professional achievement Experience supporting operational launches, frontline workforces, employee relations, labor relations, or complex workforce transitions is a plus Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $80,000-$100,000 per year Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with a generous company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually Ready to join the ride? Via is an equal opportunity employer.

Location: Remote - England Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Customer Service Representative at Via, you will be the human connection between our technology and the people who depend on it -helping hundreds of thousands of riders and drivers across hundreds of cities every day. You'll keep our on-demand services running smoothly, sitting at the heart of our Operations team and gaining hands-on experience across operations, technology management, and on-demand mobility in a fast-moving, mission-driven environment. If you care about making public transit work better for real people - see the impact we're having in the around the world - this team is where that commitment comes to life every day. This job can be done remotely, as long as you are based in England. What You’ll Do: Ensure the smooth daily operation of our services by providing telephone, live chat, and email support. Work scheduled shifts, with appropriate shift bonuses for night shifts, Sundays, or pre-determined holidays. Make sure that our drivers and passengers feel supported in all matters, always helping them with their questions or concerns. Care for customer satisfaction and ensure that issues are resolved. Grow with your tasks and responsibilities if you so choose, and increase your compensation accordingly. Who You Are: Passionate about Via's mission to enable access to mobility and reduce the world's carbon footprint - you see this as more than a job. Fluent in German and English (C1 or C2) -you'll be using both languages daily as you'll be working across both our DACH and UK markets. A strong communicator who finds the right tone in any context and genuinely enjoys supporting people over the phone. Calm under pressure and able to think on your feet — no prior call center experience required; what matters is a willingness to learn and a commitment to great service. Technology-savvy and comfortable working with modern IT tools. Flexible and adaptable across different shifts; while we try to accommodate individual schedules, this role requires some availability outside standard hours to support our 24/7 operations. What We Offer 100% work from home, as long as you're based in England. State-of-the-art hardware provided so you can work worry-free. £14.75/h base pay for a 40-hour work week, with additional earnings depending on shifts and hours worked. 28 days of vacation inclusive of public holidays. The opportunity to work for a company with a strong mission of improving the quality of life for those who need it most. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer. #LI-RB1

Location: Remote - Germany Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Customer Service Representative at Via, you will be the human connection between our technology and the people who depend on it -helping hundreds of thousands of riders and drivers across hundreds of cities every day. You'll keep our on-demand services running smoothly, sitting at the heart of our Operations team and gaining hands-on experience across operations, technology management, and on-demand mobility in a fast-moving, mission-driven environment. If you care about making public transit work better for real people - see the impact we're having in the around the world - this team is where that commitment comes to life every day. This job can be done remotely, as long as you are based in Germany. What You’ll Do: Ensure the smooth daily operation of our services by providing telephone, live chat, and email support. Work scheduled shifts, with appropriate shift bonuses for night shifts, Sundays, or pre-determined holidays. Make sure that our drivers and passengers feel supported in all matters, always helping them with their questions or concerns. Care for customer satisfaction and ensure that issues are resolved. Grow with your tasks and responsibilities if you so choose, and increase your compensation accordingly. Who You Are: Passionate about Via's mission to enable access to mobility and reduce the world's carbon footprint - you see this as more than a job. Fluent in German and English (C1 or C2) -you'll be using both languages daily as you'll be working across both our DACH and UK markets. A strong communicator who finds the right tone in any context and genuinely enjoys supporting people over the phone. Calm under pressure and able to think on your feet — no prior call center experience required; what matters is a willingness to learn and a commitment to great service. Technology-savvy and comfortable working with modern IT tools. Flexible and adaptable across different shifts; while we try to accommodate individual schedules, this role requires some availability outside standard hours to support our 24/7 operations. What We Offer 100% work from home, as long as you're based in Germany. State-of-the-art hardware provided so you can work worry-free. €15.40/h base pay for a 40-hour work week, with additional earnings depending on shifts and hours worked. 30 days of vacation inclusive of public holidays. The opportunity to work for a company with a strong mission of improving the quality of life for those who need it most. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer. #LI-RB1

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by over 30,000 global businesses, Fin is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What’s the opportunity? We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group . The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models. This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. Learn more about Fin's engineering culture at intercom.engineering , and more about Fin at fin.ai . What will I be doing? You will: Lead a high-performing team building the platform and infrastructure that power Fin's AI capabilities. Magnify the team’s effectiveness , whether that means removing impediments, or finding ways to accelerate their progress. Support teams of ML Scientists and Engineers building AI powered capabilities . Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation. Empower the engineers on the team to act with agency and maximize their impact. Expand your scope over time , potentially taking ownership of additional platform domains as the team and AI initiatives grow. What skills do I need? You must have: Experience leading infra or platform teams. Strong prior experience working as an engineer. Strong technical judgment and communication skills, enabling you to advocate for the team’s needs Adaptable leadership style suited to a group that will grow quickly, and change shape over time. Curiosity and enthusiasm for AI. Experience training ML models and operating them in production at scale is a significant advantage, but not a hard requirement. We will invest in EMs with a deep technical background, and a strong appetite to learn the domain. Nice to have Experience training ML models and operating them in production, at scale. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity AI is not a feature at OKX. It is the next fundamental layer of how we serve users, operate at scale, and maintain trust in a regulated, global market. We are hiring a Senior Director/Vice President of Product, AI & Agent to own OKX's full AI product agenda — outward, through a crypto-native AI assistant that transforms how users experience our platform; and inward, through agentic systems that make our operations intelligent, auditable, and scalable. This is a single role with a unified mandate: building the AI layer that defines OKX's next decade. What You’ll Be Doing User-Facing AI Lead the strategy and execution of OKX's conversational AI assistant — an experience that lets users onboard, trade, stay informed, and get support through natural language. You will define what this product is, how it earns user trust, and how it deepens over time. Operational AI & Agent Systems Own the agentic AI roadmap for OKX's internal functions — compliance, risk, fraud, and operations. You will identify the highest-leverage workflows, lead their systematic transformation into agent-driven systems, and ensure every output is traceable and regulatorily defensible. AI Platform Own the product design of shared infrastructure that powers both mandates — orchestration, evaluation, safety architecture, and the governance layer that makes AI products configurable and auditable across all markets. What We Look For In You 12+ years in product & tech, with 5+ years in a senior leadership role owning technically complex products at scale Proven track record shipping conversational AI or agentic AI products — as the owner, not a contributor Deep familiarity with LLM product architecture: multi-agent systems, RAG, tool use, evaluation, and safety design Experience operating in regulated environments where auditability and explainability are hard requirements Strong consumer product instinct alongside operational product rigor Fluency in financial markets and what it takes to earn user and institutional trust Executive-level communication in English and Mandarin Nice-To-Haves Background in crypto, fintech, or financial services at global scale Graduate degree in a technical field Experience with successful Conversational AI or Agentic AI products Why this role OKX operates at a scale where the gap between what AI can do and what we have built is still enormous. This role exists to close that gap — on both sides of the platform, simultaneously. If that is the kind of problem you want to own, we want to talk. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-VW1 #ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Poland; Colombia; Romania; Brazil; Argentina; Portugal About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. About the Company Our client is an operator-led, AI-powered revenue systems company building next-generation go-to-market (GTM) infrastructure for scaling businesses. They design automation-first revenue engines that transform real-time market signals into predictable pipeline growth. With a deeply AI-native stack—including workflow automation, LLM-powered systems, and custom-built internal products—they support companies scaling from $1M to $100M+ ARR. Engineering is not a support function here—it is the company’s competitive advantage. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a VP of Automation Engineering to act as the foundational technical leader and strategic partner to the CEO . This is a hands-on executive role where you will architect and scale automation systems, build internal products, and lead a high-performing engineering team. You will operate in an AI-first environment , where tools like Claude Code are part of daily development workflows—not optional add-ons. Key Responsibilities Automation Architecture & Infrastructure Own and scale end-to-end automation systems using n8n and API integrations Architect orchestration layers for complex, multi-client environments Build resilient systems with monitoring, alerting, and self-healing capabilities Integrate tools like Clay, CRMs, and outbound platforms into a unified infrastructure Product Development Build internal and client-facing products using Node.js, TypeScript, and modern frameworks Own the full product lifecycle—from architecture to deployment Develop scalable automation products and operational dashboards Establish engineering standards, CI/CD pipelines, and documentation AI Systems & Intelligence Layer Design and deploy production-grade AI/LLM systems (Claude, OpenAI, etc.) Use Claude Code as a core development accelerator across the team Build intelligent pipelines for classification, enrichment, and decision-making Optimize prompt engineering, evaluation systems, and reliability at scale Leadership & Technical Strategy Build, manage, and mentor a high-performing engineering team Define and execute the technical roadmap aligned with company growth Partner directly with the CEO on product and engineering strategy Lead sprint planning, prioritization, and delivery execution Requirements Non-Negotiable Deep, production-level experience with n8n automation systems Strong full-stack development skills (JavaScript/TypeScript, Node.js, APIs, databases) Proven experience leading engineers while remaining hands-on Daily, hands-on use of Claude Code in development workflows Strong working experience with Clay for data enrichment, signal detection, or GTM automation Experience building and scaling AI/LLM systems in production Strong systems architecture thinking (scalability, reliability, fault tolerance) Executive-level mindset with the ability to align technical decisions with business outcomes Preferred Experience Agency or services background with multi-client automation systems Experience building SaaS or productized internal tools Familiarity with tools like Airtable, HubSpot, Slack APIs, and outbound infrastructure Experience with cloud platforms (AWS, GCP, etc.) Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Poland; Ukraine; Romania; Argentina; Portugal; Colombia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture . This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages . You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Mifflinburg, Pennsylvania Workplace: hybrid About Lyra   Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be contracted by Lyra Clinical Associates. About the Opportunity   Lyra’s provider network is composed of in-person and virtual therapists, physicians, and coaches across the US. With our advanced matching technology, supportive provider platform, and opportunities for training and clinical consultation, being part of our network is an incredible chance to do what you love (like patient care) with support for the things you don’t love (like self promotion and scheduling).   We are looking for contract psychiatrists who are passionate about whole-person, whole family mental health care and working within a connected network to provide patients with easily accessible, culturally responsive, high-quality mental health care.   As a contract psychiatrist, you’ll provide evidence-based treatment via live 60-minute video intake appointments and regular follow-up appointments. You'll conduct psychiatric evaluations and provide medication management. Lyra makes it easy to refer patients to evidence-based therapy and coaching services in tandem with your care.   You will provide care to individuals from a multitude of different backgrounds and experiences, as well as those with varying needs and abilities. We strive to continue to meet their unique needs by delivering culturally-responsive care—an approach that is mindful of the impact of cultural background on each person’s care experience. Responsibilities: Practice comprehensive mental health medication management via a 60-minute intake appointment and regular follow-up appointments Conduct mental health risk assessments, psychiatric medication evaluations, and longitudinal medication treatment Construct patient-centered treatment plans, document treatment recommendations, message patients, and prescribe and manage psychiatric medications Experience and commitment to providing, evidence-based medication treatment that follows clinical best practice guidelines (e.g., measurement based care, patient-centered care Requirements: Board certified MD or DO in psychiatry Unrestricted state license Strong preference for clinicians with an active DEA license Must have office space with ability to see clients in Mifflinburg Ability to provide care to patients with a full range of diagnoses, clinical complexity, and severity levels, with a preference for providers who offer in-person options Full-time resident of the United States Here are some of the advantages of joining the Lyra provider network: Set your own schedule without a minimum hours requirement Focus less on the administrative burden of billing with Lyra’s paperless billing and quick payment turnaround Access to a custom-built calendar for new patients to connect seamlessly Access to experienced clinical consultations to get rapid support with your patients. Have peace of mind with Lyra’s 24/7 Care Navigation team for client crisis support We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this contract position, your data will be processed as per Workforce Privacy Notice. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. For more information about how we use and retain your information, please see our Workforce Privacy Notice.