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This role is remote, though we're prioritizing candidates based in New Jersey. The Clover Home Care team is responsible for ensuring patients have access to the right care at the right time, in the right setting. We are a group of caring and passionate professionals dedicated to improving the lives of our most vulnerable members by providing in-home primary care, annual wellness visits, supportive care services, behavioral health and community services coordination. The Clinical Field Scheduling & Logistics Specialist supports the daily scheduling and logistics of our growing field-based clinical workforce. This role manages provider availability, assignments, routes, and real-time schedule changes to ensure patients receive timely care and field teams operate efficiently. As a Clinical Field Scheduling & Logistics Specialist, you will: Manage clinician schedules, profiles, availability, and service areas in CareLink. Coordinate scheduling and logistics across New Jersey. Optimize clinician routes based on geography, availability, and operational priorities. Identify and resolve scheduling errors, overbooking, unused capacity, and coverage gaps. Manage last-minute schedule changes caused by callouts, urgent requests, and field needs. Coordinate daily assignments for Nurse Practitioners and Medical Assistants. Support the PTO approval and schedule-update process in partnership with clinical managers. Respond to real-time scheduling questions and resolve scheduling-related concerns. Train new clinical team members and operational partners on CareLink workflows. Use approved AI and automation tools to streamline repetitive workflows, improve accuracy, and reduce manual work. Document processes and maintain cross-training to ensure consistent operational coverage. You should get in touch if: You have experience in scheduling, workforce coordination, field logistics, or healthcare operations. You currently live in New Jersey, previously lived there, or can demonstrate extensive knowledge of New Jersey geography, travel patterns, and regional differences. You have experience using AI or automation tools to improve business workflows. You are highly organized and can manage competing priorities in a fast-paced environment. You have strong attention to detail and can quickly identify and resolve operational issues. You communicate effectively with clinical, administrative, and leadership teams. You are comfortable learning new systems and working in an evolving environment. Experience with CareLink, healthcare scheduling, Google Workspace, or Excel is preferred. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover's inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one's identity. All of our employee's points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant's education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $57,700—$75,000 USD

A little about us… Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we're leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation ! More about our team and company: Fleetio overview video: https://www.youtube.com/watch?v=YoXyXTFWbkg Our careers page: https://www.fleetio.com/careers Fleetio is looking for a product-minded Senior Applied Data Scientist to join our Fleet Intelligence team. You will help turn years of fleet maintenance and operational data into trusted, actionable intelligence that helps customers anticipate what is ahead and make better decisions about usage, cost, availability, maintenance risk, and asset lifecycle. This is an applied role at the intersection of data science, machine learning, analytics engineering, and product development. You will work closely with Product Managers, Designers, Software Engineers, and Data partners to identify valuable prediction problems, develop practical models, and bring them into customer-facing workflows. Your goal is to deliver intelligence that changes a decision, arrives early enough to act on, and communicates uncertainty honestly. Your initial mandate will be grounded in confirmed Fleet Intelligence work: utilization and tire intelligence, ROI measurement, existing predictive models, and the analytics foundations needed to support customer-facing intelligence. You will assess current model quality, establish credible baselines, and help the team ship useful capabilities while strengthening its data-science practices. Over time, you will help evaluate and shape opportunities for Predictive Fleet Intelligence, including projection, anticipation, and risk inference. You will help determine which opportunities are technically credible, valuable to customers, and ready to become durable product investments. More About Our Team and Company Watch our culture videos: https://fleet.io/culture Engineering culture, interview process, and videos: https://www.fleetio.com/careers/engineering Fleetio overview video: https://www.youtube.com/watch?v=IlvIbwZT3oU More about the Fleetio platform: https://www.fleetio.com/features API docs: https://developer.fleetio.com This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. Who You Are You are an applied data scientist who enjoys working on ambiguous, high-value product problems. You can translate a customer or business decision into a measurable modeling problem, establish a credible baseline, and iteratively improve it. You know when straightforward statistics or deterministic projection is the right answer and when a machine learning approach is warranted. You care deeply about correctness, explainability, and trust. You are comfortable communicating confidence intervals, limitations, and data gaps to technical and non-technical partners. You collaborate well with software and data engineers, but you can independently explore data, build production-quality models, define evaluation methods, and guide how model outputs should appear in a product experience. You are pragmatic, product-minded, and outcome-oriented. You would rather ship a useful, well-calibrated forecast than an impressive model that does not change a customer decision. Your Impact Help deliver near-term Fleet Intelligence initiatives, including tire intelligence, utilization intelligence, ROI measurement, existing predictive models, and the analytical foundations that support customer-facing intelligence. Evaluate and develop credible projections or predictive models for fleet usage, maintenance cost, availability, condition and failure risk, and asset lifecycle decisions as product direction and evidence mature. Translate product questions into clear hypotheses, target variables, baselines, evaluation plans, and incremental delivery milestones. Explore Fleetio's maintenance, usage, cost, work-order, telematics, warranty, and asset-history data to identify predictive signals and material data gaps. Build, validate, and operationalize models from experimentation through production monitoring and iteration. Define model-quality metrics, confidence thresholds, drift detection, and feedback loops appropriate to the cost and reversibility of the customer decision. Partner with Product and Design to make model outputs understandable, explainable, and actionable inside the workflows where customers already make decisions. Establish reusable practices for experimentation, model documentation, validation, monitoring, and responsible claims about predictive performance. Communicate findings, tradeoffs, risks, and recommendations clearly to technical partners, product leaders, and executives. Share knowledge through design reviews, documentation, pairing, and mentorship across Fleet Intelligence and adjacent teams. Your Experience 5+ years of experience in applied data science, machine learning, statistical modeling, or a closely related role. A track record of developing and shipping models or decision-support systems that influenced real customer or business outcomes. Strong proficiency with DBT, Python, and SQL, including exploratory analysis, feature engineering, model development, and evaluation on large datasets. Strong grounding in statistics and machine learning fundamentals, including model selection, validation, calibration, uncertainty, bias, and error analysis. Experience with time-series forecasting, regression, classification, ranking, anomaly detection, survival or reliability analysis, or optimization; depth in several of these areas is more important than breadth across all of them. Experience taking models beyond notebooks into reliable production workflows, including versioning, testing, deployment, observability, performance monitoring, and retraining or refresh strategies. Experience using modern cloud data platforms and transformation workflows such as Snowflake, dbt, and orchestration tools in support of applied modeling work. Ability to identify data-quality limitations, recommend improvements, and collaborate with data engineers on pipelines and source reliability. Excellent written and verbal communication, particularly when explaining complex methods, uncertainty, and tradeoffs to non-specialists. Experience working cross-functionally with Product, Design, Software Engineering, and Data Engineering. Considered a Plus Experience with fleet, transportation, maintenance, reliability, asset management, insurance, logistics, or another operational domain. Experience modeling maintenance cost, equipment failure, remaining useful life, warranty exposure, utilization, demand, or asset replacement decisions. Familiarity with semantic layers and analytics tools such as ThoughtSpot or Cube. Experience designing experiments or evaluating recommendations when randomized testing is impractical. Experience contributing to customer-facing software products or collaborating closely with full-stack product engineers. Graduate study in statistics, data science, computer science, operations research, applied mathematics, economics, or a related quantitative field. Benefits Multiple health/dental coverage options (100% coverage for employee, 50% for family) Vision insurance Incentive stock options 401(k) match of 4% PTO - 4 weeks (increases at year two!) 12 company holidays + 2 floating holidays Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid) FSA & HSA options Short and long term disability (short term 100% paid) Community service funds Professional development funds Wellbeing fund - $150 quarterly Business expense stipend - $125 quarterly Mac laptop + new hire equipment stipend Fully stocked kitchen with tons of drinks & snacks (BHM only) Remote working friendly since 2012 #LI-Remote Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As of May 2026, Claude authored more than 80% of the code we merge . Writing a change is fast now, and the hard part is knowing it's correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a backend and infrastructure background who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Stay hands-on: design, build, and operate the tools that help Platform teams ship code faster Define what it takes to trust a change, including changes written by Claude, and build the tooling that holds that bar before and after merge Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Measure developer experience and adoption, and use the data to decide what to build next Move between building new tools and improving the shared systems teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating large-scale backend services or distributed systems in production Proficiency in Go, Python, Rust, or TypeScript Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems Experience with cloud infrastructure and container orchestration Experience leading large, complex technical projects across teams, from an ambiguous problem to a tool people use Clear written and verbal communication, with experience supporting internal partner teams Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications:  Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users Substantial experience with agents that do engineering or other technical work Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools Depth in progressive delivery, observability, VM orchestration, sandboxed execution, or workflow orchestration Experience working in a large monorepo Enough full-stack ability to put a usable interface on your tools A point of view on how software engineering changes as agents write more of the code Deadline to apply:  None. Applications will be reviewed on a rolling basis.  Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.  The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities Own technical strategy for a key account or vertical, in partnership with account and product teams. Guide technical architecture and design decisions across multiple concurrent workstreams. Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. Review designs and unblock other FDEs on hard technical calls. Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25%) to customer sites to build in person with customers. Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. Passion for advancing safe, beneficial AI systems through creative technical applications. A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. 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: $280,000 — $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. 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.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production. This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams. This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients. Responsibilities Partner Development and Go-to-Market Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics Work directly with your partners' sales teams to identify opportunities and support deal progression Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities Run a regular operating cadence with each partner, including business reviews against the joint plan Cross-Functional Partnership Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities Partner Operations and Performance Tracking Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates Follow our standard operating procedures for partner activities, and help keep them documented and up to date Maintain partner data integrity and consistent measurement across your portfolio Track KPIs for each partner and for the overall health of your portfolio Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners Identify opportunities to improve how we work with partners and bring them to the teams that own those programs You may be a good fit if you have 5+ years of experience in partner development, channel management, or partner management Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners Strong business acumen, with the ability to support deal progression and navigate complex partner relationships A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives A track record of working well across functions to get things done for partners without owning every team involved Experience with CRM systems and partner relationship management tools Comfort with ambiguity and a fast-changing environment Low ego, high curiosity, and a habit of making the people around you better Willingness to travel to support partner relationships and joint customer engagements Strong candidates may also have Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical A background working at or with AI-native services firms, boutique consultancies, or systems integrators An understanding of how boutique services firms run, including how they staff, price, and fund a new practice An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications Experience at a high-growth company where the program was still being built Passion for AI and an understanding of how enterprises are adopting AI technologies The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $300,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 working to build a rigorous, evidence-based understanding of AI's economic effects. We're hiring a writer focused on economics and policy to work on a growing portfolio that includes economic research reports, long-form essays, op-eds, and policy briefs. You'll spend much of your time working with economists and researchers, helping them explain their findings plainly. You'll write for economists, policymakers, journalists, and the public. You'll be on the Editorial team, which is responsible for shaping how Anthropic communicates. Our goal is to build understanding about the opportunities and challenges of transformative AI, and we work extensively with partner teams including The Anthropic Institute and our Policy team. In this role, you'll write about AI's effects on productivity and the labor market, the economics of compute, innovation policy, and regulation, among many other subjects, and you'll help decide which economic and policy questions Anthropic takes up next. You'll do this with an amazing vantage point on what is happening at the frontier. Key responsibilities Work with our economists and researchers to write and edit Anthropic's economic research publications—including the Anthropic Economic Index, and new reports on how AI is affecting work, productivity, and growth. Produce rigorous, readable work on the economics and policy of AI in whatever format the subject calls for, including research reports, long-form essays, op-eds, policy briefs, and blog posts. Collaborate with Anthropic's economics researchers, Policy team, research scientists, and external economists and policy experts to translate complex findings into accessible public-facing content. Engage with economists, policymakers, think tanks, academics, and media to advance productive conversations about AI policy and economics. You may be a good fit if you have A demonstrated ability to write compellingly about complex economic and policy topics for broad audiences. A body of published long-form writing on economics, policy, or technology, in any venue. Quantitative literacy: you can read and explain an economics working paper. Familiarity with how ideas circulate on social platforms like X, and a perspective on how arguments get traction. Experience working closely with experts on their own material, earning their trust, and pushing them to make stronger, more defensible arguments. Comfort engaging in policy debates while maintaining intellectual rigor and nuance. Excitement about Anthropic's mission to develop AI that is safe and beneficial. Strong candidates may also have Professional experience doing economic research or analysis, or editing data-heavy research publications. Experience working with policymaking institutions (think tanks, government, advocacy organizations), and a working understanding of how Washington operates. Direct experience on AI policy or technology policy issues. A track record of influencing policy debates through writing and public engagement. Published work on economic growth, labor economics, innovation economics, progress studies, regulatory policy, competition policy, or the economics of emerging technologies. An audience of your own, ideally that you've built on your own. 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: $265,000 — $295,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $230,000 — $300,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations. You'll set the vision and strategy for growing and engaging Claude Platform's developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI. Key responsibilities Set the Vision and Drive Strategic Impact Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap Prioritize initiatives based on data, feedback, and the needs of both developers and Build and Lead a World-Class Team Pioneer the definition of what world-class developer relations looks like in this quickly evolving field Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Create and implement scalable processes that evolve as both the team and developer ecosystem expand Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value Drive Alignment and Innovation Through Cross-Functional Leadership Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing teams to amplify developer success stories Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform Minimum qualifications  You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives You have hands-on technical abilities. You're capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Preferred qualifications Experience working specifically with AI developer platforms Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) Deadline to apply:  None. Applications will be reviewed on a rolling basis.  Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.  The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Responsible for leading and coordinating the planning, execution, and reporting of layered Control Process (LCP) Audits across manufacturing operations to verify compliance with standardized work, quality control plans, error-proofing systems, safety requirements, and manufacturing processes. The Team Leader ensures consistent audit execution, coaches team members on audit standards and methodologies, and drives accountability for process adherence.  The role supports manufacturing discipline and operational excellence by identifying systemic gaps, escalating risks, facilitating cross functional problem-solving, and ensuring timely and effective closure of corrective actions to sustain continuous improvement and product quality.   Key Responsibilities: Lead and coordinate the planning, scheduling, execution, and reporting of Layered Customer Product Audits (LCPA) across manufacturing, assembly, logistics, and quality operations. Ensure audit coverage is completed according to established schedules and organizational priorities. Coach, mentor, and develop auditors and team members to ensure consistent application of audit standards, methodologies, and reporting requirements. Verify adherence to standardized work instructions, control plans, PFMEA controls, quality standards, and operational procedures. Assess compliance with safety requirements, process controls, product quality standards, and regulatory requirements. Validate the effectiveness of error-proofing (Poka-Yoke) systems, process controls, containment actions, and quality safeguards. Review manufacturing operations to ensure compliance with approved work instructions, process parameters, and operational requirements. Identify high-risk areas through analysis of process deviations, recurring defects, internal audit findings, warranty issues, and customer concerns, and adjust audit focus accordingly. Review and approve audit findings, ensuring accurate documentation, objective assessments, and timely communication to stakeholders and leadership. Drive accountability for timely closure of audit findings through effective tracking and verification of corrective and preventive actions. Escalate significant quality, process, safety, or compliance risks to appropriate levels of management. Lead follow-up audits and effectiveness reviews to verify sustainability of implemented corrective actions. Analyze audit performance metrics, trends, and systemic issues to identify improvement opportunities and strengthen process compliance. Support internal quality system audits, customer audits, manufacturing assessments, launch readiness reviews, and operational excellence initiatives. Partner with cross-functional teams to drive continuous improvement actions focused on reducing defects, variation, waste, and process failures. Prepare and present audit performance reports, KPIs, trends, and risk assessments to management and leadership teams. Promote a culture of quality, accountability, process discipline, operational Job Description excellence, and continuous improvement across manufacturing operations Ensure audit resources are effectively utilized and aligned with business priorities and manufacturing requirements. Support succession planning, capability development, and knowledge sharing within the audit team.ٍ ٍ Skills : Creative, energetic, self-motivated and highly organized.   Good level of initiative and sound judgement.   Good communication skills. Knowledge of MS Office tools (Word, Excel, PowerPoint and Outlook) is a plus.  Minimum Qualifications: High school diploma or Industrial School Graduate in Industrial or other technical discipline. With 0-1 year of experience.   Good verbal, written, and presentation skills. Ability to learn new skills and methodologies.   Ability to work in a fast-paced environment with multiple simultaneous projects.   Valid Driving License is required.   Willingness to work shift patterns as required by plant operations.   Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Position Overview Functional leader accountable for automation, controls, robotics, vision, SCADA/historian, OT cybersecurity and MES-OT integration across AMP-2 Drive Unit and HV Battery shops. From commissioning through stable high-volume operation to deliver safe, capable and sustainable Powertrain operations while accelerating local technical capability and launch readiness. Key Responsibilities Strategy, architecture & governance • Define PLC/HMI/SCADA/Ignition, safety-control, network, naming, code-library, backup and version-control standards. • Govern Siemens TIA Portal, Rockwell Studio 5000 and Beckhoff TwinCAT populations; establish lifecycle and obsolescence roadmaps. • Own OT cybersecurity governance including segmentation, secure remote access, privilege, backup/recovery and patch coordination. Robotics, vision & digital manufacturing • Own Robotics like FANUC or ABB standards, safety validation, uptime, recovery, program governance and critical spares. • Govern Cognex/Keyence/other machine-vision applications, inspection integrity, recipe control and traceability. • Sponsor historian, IIoT, digital SPC, condition monitoring and analytics use cases with Data, IT/OT and MES teams. Launch & operational excellence • Own automation FAT/SAT, controls lists, production-release criteria, run-at-rate support and safe launch escalation. • Establish controls response model, escalation matrix, KPI cadence and permanent-corrective-action governance. • Lead functional safety compliance to applicable ISO 13849, IEC 62061, IEC 60204 and robot-safety requirements. Organization, budget & suppliers • Recruit, organize and develop engineers/technicians; define on-call/shift coverage and technical progression. • Own Capex/Opex, service contracts, integrator performance, software licenses, training and spare strategy. Enterprise, launch & workforce expectations • Safety: LOTO, guarding, interlocks, HV controls and approved work instructions, • Quality: protect product conformity, traceability and calibrated-tool discipline; contain abnormalities and preserve objective evidence. • Delivery: support stable flow, takt/cycle achievement and rapid, structured escalation of constraints. • Cost: reduce scrap, rework, downtime, energy and consumable losses through data-based countermeasures. • People: build Saudi national capability through coaching, cross-training, OJT, progression and knowledge transfer. • Continuous improvement: participate in tier meetings, 5S, Kaizen and closed-loop corrective action. Decision Rights & Required Interfaces • Acts within approved standards, competency authorization and change-control boundaries; stops work where safety, quality or traceability is at risk. • Interfaces with Production, Quality, Production, Manufacturing Engineering, EHS, Supply Chain, IT/OT, HR/L&D and equipment suppliers as applicable Skills • Multi-platform PLC and industrial-network expertise • Robot programming/recovery and cell-safety governance • SCADA, historian, MES/OT and database integration • Functional safety and OT cybersecurity leadership • Executive communication, financial acumen and supplier governance Minimum Qualifications • Bachelor's in controls, electrical, mechatronics, robotics or related engineering; Master's preferred • 10+ years in industrial automation/robotics with 5+ years leading teams • Demonstrated greenfield launch and high-automation automotive • EV Powertrain equipment experience • English fluency; Arabic is strongly preferred • Preferred: IEC 62443, functional-safety, robot-safety and Lean/Six Sigma credentials • Greenfield industrial launch and ramp-up • TPM/Autonomous Maintenance and Lean problem-solving methods • Experience developing local technical talent in a multicultural workforce • Must be able to work around automated equipment and, where authorized, high-voltage Powertrain products.   Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

The Role: As an entry-level sales position, the Sales Development Representative (SDR) will support a Senior Sales Executive and be responsible for day-to-day interactions with our prospective customers in the health care industry. The SDR, as part of a larger team, plays a major role in the company's business development efforts, from establishing initial contact with customers and potential customers to facilitating follow up activities that lead to new business opportunities. The primary responsibility for the SDR will be to schedule conference calls and meetings for the VP of Sales with prospects that likely have never heard of our company. Who you'll work with: You will be part of our growing sales team with the ability to directly impact the success of the organization. You'll be working directly with our Sales Team, Director of Sales Operations, Product Team, Marketing and much more. Contract Length: 6 months with potential to extend What you'll be doing day to day: Develop strong content knowledge of the healthcare industry Research potential prospects Create a strategic outreach plan with Vice President of Sales to target prospective customers Cold call and email to schedule meetings and conference calls. Identify and target prospective ED Medical Directors, CMOs, and other healthcare executives through strategic planning and execution Communicate with prospective customers including chief health care executives using creative outreach methods via email and phone Achieve weekly, monthly and quarterly goals through scheduling of meetings and appointments for Vice President of Sales with prospective customers Prepare background material and market research in preparation for all sales meetings and appointments Manage post-sales meeting follow up such as scheduling follow up calls and assisting with the new customer sales process Maintain internal database to track key performance metrics and sales and marketing activities Own calendaring, logistics and administrative responsibilities for all pieces of the sales process for the Vice President of Sales Manage special projects as necessary Skills and experience we're looking for: Bachelor's Degree or equivalent experience Customer service experience Experience working in a team environment Sales or fundraising experience Strong communication skills Proven ability to meet and exceed goals Ability to communicate by e-mail and phone Ability to overcome challenges or obstacles in the moment Attention to detail Compensation ​ This is contract role paid in an hourly rate, based on a 40 hour work week. The offer is $36 USD per hour, and is not eligible for benefits or paid time off. You will receive another 4% per hour in lieu of these benefits. Your recruiter can share more information about the terms during the hiring process. Additional Information

Nash is looking for a Technical Support Specialist to join our global, 24/7 Technical Support team. This role sits at the heart of how Nash stabilizes the platform for our enterprise merchants - owning the investigation, resolution, and clean escalation of complex platform and integration issues across our delivery orchestration system. Technical Support is Nash's intake and stabilization layer for everything beyond high-volume delivery inquiries. You'll be the person customers and internal teams rely on when something unusual is happening on the platform: a stuck integration, an unexpected provider behavior, a configuration question that needs real investigation. You'll resolve what you can, escalate what you can't with the context needed to move quickly, and help build the knowledge base that makes the next occurrence faster. This is a role for someone who enjoys the detective work of complex, ambiguous technical problems, communicates clearly under pressure, and takes ownership seriously. LOCATION Remote in Australia (required) AEST - Friday - Tuesday, 11A - 8P TRAINING 4 weeks, Monday - Friday A note on location This is a remote role, but candidates must be located in Australia. This is a hard requirement driven by contractual data access obligations with our enterprise customers, not a preference - we are not able to make exceptions. WHAT YOU'LL OWN Platform and integration investigation. Diagnose configuration questions, known error patterns, API and webhook issues, and account-specific behavior across the Nash platform. Escalation quality. When an issue needs Engineering or Enterprise Operations, you own the handoff — clear reproduction steps, investigation performed, impact assessment, and severity. Escalations from this team are expected to be actionable on arrival. Incident coordination. Serve as the active shift team for P1 incidents — coordinating communication, engaging Engineering immediately, and keeping customers and internal stakeholders informed through resolution. Proactive monitoring. Watch Datadog dashboards, alerts, and logs for anomalies and emerging risks. Surface issues before they become customer-impacting where possible. Knowledge base contribution. Document resolution patterns for novel issues so the next occurrence becomes a known pattern. Your work directly reduces future escalation volume. Overflow support. Act as overflow for Delivery Support during peak windows when issues exceed their scope. WHAT WE'RE LOOKING FOR 5 - 6+ years in Technical Support, Support Engineering, or a related technical role in a SaaS environment Hands-on experience investigating complex platform issues - not just routing tickets, but actually diagnosing what is happening Comfort with APIs, webhooks, and integration troubleshooting in a production environment Experience with monitoring and observability tools (Datadog, New Relic, Grafana, or similar) Clear, calm written communication — especially during incidents or when customers are frustrated Judgment about when to investigate further versus escalate, and the discipline to document thoroughly either way Located in Australia (remote) NICE TO HAVE Experience supporting logistics, marketplace, or high-volume transactional platforms Prior incident response or post-mortem participation Experience contributing to knowledge bases or support documentation that actually gets used Familiarity with ticketing platforms like Pylon, Zendesk, or similar More about Nash Nash is the platform that powers modern logistics. Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line. Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion. We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it. Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco. What You'll Love About Us ✅ Early-stage, well-funded startup – directly impact the company and grow your career! ✅ Quarterly broader team on-sites to bond with teammates ✅ Competitive compensation and opportunity for equity ✅ Flexible paid time off ✅ Health, dental, and vision insurance for US employees