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 Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities Own growth for how people use Claude in their everyday work, end to end, as your full-time focus Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric Deliver exceptionally crafted interactions and set the quality bar for your area Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption Mentor other designers, and frame problems clearly enough that others can own them Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications A portfolio of shipped product design work that shows product vision and a high level of craft Experience owning growth for a major product area end to end, including diagnosing problems and setting direction Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions Fluency with product analytics such as funnels, retention, and engagement Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications Experience leading growth strategy across multiple teams or product areas Experience designing enterprise/B2B SaaS, productivity, or collaboration tools Experience with product-led growth, from a single user to a team to a company-wide rollout Experience mentoring designers or shaping a design practice Comfort querying data yourself with SQL or a similar tool Experience prototyping with front-end code (e.g., HTML/CSS/JS) Experience defining AI-powered workflows for yourself or your team A clear point of view on when a product should ask for attention, and when it should stay out of the way Passion for building safe, beneficial AI that helps people do their best work Representative projects Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap Redesign a core part of the product so people return to it more often and get more value each time Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow Design the path from one person's daily use to their whole team adopting it 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: $305,000 — $460,000 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.
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About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications 15+ years of overall experience selling technology products to enterprise organisations across ANZ market 5+ years of people management experience leading sales teams in the digital native and/or startup segment Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS Experience building a business or team from the ground up in Australia and/or New Zealand Track record across both customer acquisition and account growth Strong network and credibility in the ANZ startup and digital native ecosystem Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications Background at Google, AWS or a similar cloud or SaaS company Experience selling AI, machine learning or developer-focused products Experience co-selling with cloud partners and working with channel Experience hiring and scaling a team through rapid growth Familiarity with the ANZ regulatory and data-privacy landscape 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 Data Engineer on the Data Science & Analytics team, you'll build the foundation that lets analytics scale across Anthropic. You'll partner with Engineering, Product and other teams to turn raw data into reliable metrics, reporting and insights, and you'll make sure teams have accurate metrics for our consumer products from idea to launch. You'll also lead your own projects that make self-serve insights possible, so teams can make data-driven decisions. Responsibilities Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements Define, build and manage key dbt pipelines that turn raw logs into canonical datasets Set data integrity standards and SLAs so data is delivered on time and accurately Build reliable dashboards that track core metrics and share insights across the company Build foundational data products, dashboards and tools that let self-serve analytics scale Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products Shape Product teams' roadmaps from a data systems perspective Become an expert in our data models and data architecture You may be a good fit if you have Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics A passion for Anthropic's mission of building helpful, honest and harmless AI Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub Expertise in SQL and Python for turning data into accurate, clean data models Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams A bias for action, and a sense of when "good enough" beats perfect An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope Comfort with ambiguity, and a habit of creating clarity and forward progress Experience using AI to scale your own productivity and your team's without lowering the quality of the work Strong candidates may also have Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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. The Vehicle Efficiency Engineering (VEE) team is responsible for vehicle-level attributes that directly impact efficiency, performance, and customer experience. Working closely with product development, manufacturing, testing, validation, and attribute teams, Efficiency Engineering plays a critical role in delivering efficient, high-performing vehicles that meet customer expectations and regulatory requirements. Through a combination of engineering expertise, data-driven decision-making, and cross-functional collaboration, the team influences key decisions from concept development through production launch and beyond. About the Role As a Technical Specialist, Vehicle Systems Modeling, you will define the modeling methods and cross-functional evidence used to answer vehicle-efficiency, architecture, and performance questions. You will lead CFD and coupled physical-system modeling across thermal, propulsion, charging, chassis, aerodynamic, and controls domains and connect models to instrumented test data. In your first 12 months, success means an adopted modeling strategy, correlated priority models, reproducible analysis workflows, and faster design decisions across vehicle programs. Lucid offers technical ownership of the evidence chain from first-principles models through vehicle-level decisions. What You Own Technical Leadership: Align hardware, software, controls, test, and program stakeholders; review critical evidence; mentor engineers; and present decision-ready recommendations. Modeling Strategy: Define fit-for-purpose methods, fidelity, assumptions, uncertainty, and sign-off criteria for vehicle-efficiency and physical-system models. CFD and Multiphysics: Lead targeted CFD and thermal-fluid simulations for HVAC, cooling, aerodynamic, and other vehicle systems and translate results into design decisions. Coupled Vehicle Models: Develop and integrate mechanical, electrical, and thermal models spanning batteries, drive units, inverters, chargers, chassis, HVAC, and controls. Engineering Workflows: Build reusable pre-processing, parameter-study, optimization, post-processing, version-control, and regression workflows using Python, MATLAB, or equivalent tools. Correlation and Validation: Partner with test teams on instrumentation and experiments, correlate models to physical data, quantify uncertainty, and close gaps to agreed criteria. Qualifications: Advanced hands-on capability with commercial CFD plus system-modeling and data-analysis tools. Passion for problem-solving, and curiosity to discover and understand. Proven technical leadership of model development, instrumented testing, model-to-test correlation, and cross-functional engineering decisions. Deep expertise in thermodynamics, fluid mechanics, heat transfer, numerical methods, and physics-based modeling. Bachelor's or higher degree in Mechanical Engineering, Aerospace Engineering, Automotive Engineering, Thermal Sciences, or in a related technical discipline. 8+ years of related experience with a bachelor's degree, 6+ years with a master's degree, or 3+ years with a PhD. Preferred: Experience and passion for hands-on work. Electric-vehicle modeling experience across batteries, drive units, inverters, charging, chassis, cooling, HVAC, or controls. Experience with ANSYS Fluent, Star-CCM+, OpenFOAM, reduced-order models, plant models, or coupled multidomain simulations using tools such as GT-SUITE, Simulink, AMESim, Python, or MATLAB. Experience with vehicle instrumentation, data acquisition, CAN data, test automation, and model correlation. Experience with Git, automated regression, reusable modeling standards, optimization, or high-performance-computing workflows. Work Requirement This role is fully onsite at our Newark, CA headquarters. Daily in-person presence is required. At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $166,500 — $244,200 USD 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. About the role Lucid is putting an AI layer over the systems that run our commercial and industrial operations, how we sell vehicles, how we service them, and how we move parts through a global supply chain. This role sets the technical direction for that work and is accountable for what reaches production. You will sit close to the business. Sales, Service and Supply Chain leaders will bring you problems, and you will decide what is worth building, design it, build the hard parts yourself, and lead a distributed engineering team to deliver the rest. This is a hands-on lead role, architecture and code, not a management track. What you'll do Own the architecture for LLM-based and agentic systems across Sales, Service and Supply Chain: assistants over enterprise knowledge, agents that act against internal APIs, document and data extraction pipelines, and the platform pieces they share. Deliver those systems into the channels our customers and employees already use: web and in-app chat, email and SMS. Own the conversational contract across them, including threading, context carry-over, handoff to a human, and tone appropriate to the channel. Turn business problems into engineering plans. Work directly with stakeholders to define the outcome, then sequence the work so value lands early and often. Build the parts that make AI safe to run in the enterprise: input and output guardrails, identity-aware access to tools and data, prompt governance, and clear trust boundaries between internal and external-facing surfaces. Own the tool layer, including MCP servers and internal tool interfaces, so agents reach business systems through contracts that are versioned, permissioned and testable. Define how quality is measured, including evaluation datasets, regression suites, tracing and production telemetry, and make it the default gate for prompt and model changes. Own the unit economics. Set targets for cost and latency per conversation and per resolution, and hold them through model routing, context trimming, caching, batching and right-sized retrieval. Integrate with systems of record: ERP, supplier portals, service and CRM platforms, logistics and planning systems. The interesting problems here are data, integration and correctness more than model choice. Set standards the wider team builds on , such as shared services, reusable patterns and review expectations, and make sure they hold up outside your own code. Lead technically across time zones, including close partnership with our engineering team in India. Mentor engineers, review designs, and be the person others bring their hardest problem to. Be honest about where AI helps and where it does not. Part of the job is preventing expensive detours. What you'll bring 10+ years building and operating production software, with 3+ years owning the technical direction of a team or a significant platform. Strong Python and solid distributed systems fundamentals. Comfortable owning services end to end, including what happens after they ship. Real production experience with LLM applications: retrieval-augmented generation, agent and tool-calling patterns, structured output, streaming, prompt design and iteration under load. Strong hands-on experience with LLM engineering tooling such as Langfuse or LangSmith , used for tracing, prompt versioning, evaluation runs and production monitoring, not only local experiments. Good working experience with MCP: building and consuming MCP servers, designing tool schemas, and handling authentication and permissions at the tool boundary. Practical command of LLM cost optimization: model routing and tiering, context and prompt compression, prompt caching, batching, token budgeting, and knowing which lever to pull when spend moves the wrong way. Experience delivering AI over customer and employee communication channels such as chat, email and SMS, and the integrations behind them. Judgment on the model landscape, across hosted models, managed services and fine-tuning, enough to make a defensible choice on cost, latency and accuracy and move forward. Strong AWS engineering (or equivalent): serverless and container workloads, event-driven design, IAM, networking basics, and a working sense of what things cost at scale. Experience with the data layer behind AI systems, relational, document and vector, and with keeping retrieval accurate as content and users grow. A concrete point of view on evaluating AI systems, and the discipline to build the harness before scaling the feature. Experience working with non-technical stakeholders and translating between business intent and system design. Nice to have Automotive, manufacturing, logistics or another operations-heavy domain background. Exposure to SAP, supply chain execution, EDI, or field service and CRM platforms. Hands-on work with messaging and contact center platforms such as Twilio, Amazon SES or Pinpoint, Salesforce Service Cloud, or similar. Security-sensitive AI work: prompt injection defense, tenant or supplier data isolation, red-teaming. Multi-agent orchestration, or experience running an evaluation program at scale. Experience leading distributed teams across US and India time zones. How we work Small teams with direct ownership and a short path from a business problem to a running system. We prefer working software and measured results over decks, and we expect engineers at this level to have opinions and defend them with evidence. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $216,600 — $317,680 USD 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.
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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 We are seeking an experienced Senior Engineering Manager, Data Platform and AI to lead the strategy, architecture, delivery, and operation of an enterprise data platform that ingests high-volume vehicle telemetry and enterprise systems data, integrates and curates it into trusted data products, and provides scalable, governed, AI-ready data foundations. This role will oversee teams building business-critical capabilities for engineering, manufacturing, supply chain, finance, sales, service, and corporate functions. The ideal candidate combines strong engineering leadership with deep technical expertise in data engineering, data quality, AWS, and Amazon Redshift. You will build and lead a high-performing team responsible for reliable batch and streaming ingestion, cross-domain data integration, identity resolution, data curation, governance, and platform operations at scale. What You'll Do Lead Data & AI Platform Engineering Define and execute the strategy and roadmap for enterprise data, telemetry, and AI platforms. Lead, mentor, and grow a high-performing team of data and platform engineers. Drive engineering excellence through automation, operational rigor, and modern development practices. Partner with business and technology leaders to deliver high-impact data products and capabilities. Build and Scale Data Platforms Own the architecture, reliability, performance, security, and cost efficiency of the enterprise data platform on AWS. Lead the design and operation of Amazon Redshift, including data modeling, distribution and sort strategies, workload management, scaling, performance tuning, access controls, and cost optimization. Develop and operate scalable data lakes, warehouses, streaming platforms, orchestration frameworks, and self-service data capabilities. Establish reusable platform patterns, data contracts, metadata standards, and automation that improve delivery speed and operational consistency. Lead Enterprise & Telemetry Data Engineering Build and operate high-volume, resilient batch and real-time pipelines that ingest vehicle telemetry and data from enterprise applications. Integrate and stitch telemetry with manufacturing, supply chain, sales, service, finance, customer, and master data to create consistent cross-domain views. Address schema evolution, late-arriving events, time-series processing, event ordering, data contracts, and vehicle-to-enterprise identity resolution. Curate governed, reusable data products and standardized business entities that support analytics, engineering diagnostics, machine learning, and Generative AI. Provide secure, reliable self-service access to trusted telemetry and enterprise data for engineering, data science, and business teams. Drive Data Quality, Governance, and Operational Excellence Define and enforce data quality standards, ownership, controls, and measurable SLAs across critical data products. Implement data profiling, validation, reconciliation, lineage, observability, anomaly detection, and root-cause remediation capabilities. Establish monitoring, incident management, disaster recovery, and service-level objectives for business-critical data services. Lead platform modernization, performance optimization, security, compliance, and cloud cost optimization initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 12+ years of experience in data engineering, data platform engineering, distributed systems, or large-scale data technologies. 6+ years of experience leading engineering teams and delivering enterprise-scale, production data solutions. Deep hands-on expertise in Amazon Redshift, including dimensional modeling, distribution and sort strategies, workload management, query and storage optimization, security, scaling, and cost management. Proven experience integrating high-volume vehicle, IoT, connected-product, or telemetry data with enterprise transactional and master data. Strong knowledge of data quality management, including profiling, validation, reconciliation, lineage, observability, quality metrics, and remediation processes. Experience creating curated, governed, reusable data products and AI-ready datasets for analytics, machine learning, and Generative AI. Deep understanding of batch and streaming architectures, schema evolution, event processing, time-series data, data contracts, and distributed data systems. Strong AWS experience and hands-on knowledge of technologies such as S3, Glue, Lambda, Kinesis or Kafka, Airflow, Spark, IAM, Terraform, CI/CD, and observability platforms. Strong programming skills in Python and SQL, with experience in Java and/or Scala preferred. Strong software engineering foundation and experience operating secure, reliable, petabyte-scale data platforms in production. Excellent communication and stakeholder management skills, with the ability to translate business and AI use cases into scalable technical solutions. Why Join Us You will lead a strategic engineering organization responsible for connecting vehicle telemetry and enterprise data to create trusted, governed, AI-ready foundations. This is an opportunity to shape the AWS and Amazon Redshift data platform, improve data quality and accessibility at enterprise scale, enable advanced analytics and AI, and develop a world-class engineering team. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $211,400 — $310,090 USD 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.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Define research goals, setup dataset and training code to hill-climb the model performance, analyze the results and define the next sets of experiments Write a good document for communicating with team members Able to use the feedback from the team members to adjust the setup, experiments, and research directions You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Knowledge of pre-training and post-training of the large foundation models Hands-on experience of training modern AI models Good analytical skills and interpret experiments results and forming verifiable hypothesis Write a bug-free code, and able to implement correct software without much guidance We prefer: Have a solid research background in robotics or self-driving cars Familiar with modern AI infrastructure and tooling such as pytorch, jax, and comfortable in working on cluster/server environments Have a strong research skill and publish several papers in top conferences Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Design, implement, and benchmark a system where LLM meta-agents generate, synthesize, and iteratively refine reward functions for autonomous driving planning policies Diagnose policy failure modes, reward exploitation, and multi-objective trade-offs, integrating findings back into the automated discovery loop Collaborate with scientists engineers to transfer validated reward formulations and tooling into planner recipes Document research outcomes, distill key design patterns, and prepare findings for internal tech transfers and potential conference publication You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Strong hands-on experience in Reinforcement Learning (RL / RLFT) and training deep learning policies with PyTorch or JAX Demonstrated proficiency in Python and modern ML engineering practices Familiarity with autonomous vehicle planning, trajectory optimization, or sequential decision-making under uncertainty We prefer: Track record of peer-reviewed publications at top AI/robotics conferences (e.g., NeurIPS, ICRA, IROS, CoRL, ICML, ICLR, CVPR) Experience with LLM-guided code generation, automated reward discovery (e.g., Eureka-like frameworks), or meta-RL methods Hands-on experience with RL or RLFT training in LLM/VLM/robotics Proven ability to independently drive an exploratory research problem from ideation to implementation and results Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world's most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you'll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Overview: Financial management is crucial to the performance and success of any company. The roles and responsibilities of the Coursera Finance team include accounting, financial reporting, analysis, planning, budgeting, and compliance. Problem solvers at heart, this team works to fuel Coursera's growth by developing creative solutions in response to accounting and finance challenges. Coursera is seeking an experienced Accounts Payable Specialist to join our growing Finance team. The Accounts Payable Specialist will assist with daily AP operations, such as managing vendor relations, working closely with business stakeholders for processing invoices and expense reports, and assisting with month-end close tasks. The ideal candidate will be a detail-oriented professional who multi-tasks well and can handle shifting priorities in a fast-paced environment. What you'll be doing: Process invoices across Coursera's global entities, ensuring accurate coding, alignment with contracts, and timely resolution of internal and external invoice and payment inquiries Manage vendor onboarding and maintain complete, accurate vendor records and tax documentation; support annual Form 1099 filings and coordinate with the Tax team on withholding tax compliance Support month-end close by preparing accruals for invoices pending approval and gathering information for accrual estimates Review, process, and audit employee expense reports for accuracy and policy compliance; maintain T&E policies and procedures and provide employee training and guidance Administer the travel management platform and corporate travel credit card program, maintaining accurate employee profiles, overseeing reconciliations, and resolving discrepancies, unauthorized charges, missing receipts, and policy violations Analyze T&E data to monitor spend, identify trends and cost-saving opportunities, and support system enhancements, process automation, and other improvement projects Qualifications: 6+years of experience in a similar role Knowledge of US GAAP and end to end Procure to pay process in IT services/SaaS/technology companies Experience with Excel, G-suite particularly using advanced functions Experience with Netsuite, Coupa, ZIP, Navan and Workday Expenses as an end user or administrator About your skills: Bachelor's Degree in Accounting or related area of study Previous experience with AI tools Able to work both independently, cross-functionally and collaboratively across multiple time zones Organized and able to work in a fast paced and deadline driven environment Excellent written and verbal communication skills Values collaboration and contributing to the shared goals and success of the team and company #LI-MJ1 For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role Maps are part of nearly everything Samsara builds. Vehicles, routes, sites, assets, and safety workflows all depend on knowing where things are and how the physical world fits together. The Maps team is building the shared geospatial platform that makes that possible. We source, ingest, enrich, and serve the map data that Samsara's product teams use every day: from road networks and points of interest to addresses, boundaries, and customer-specific map context. Our customers are the engineers building products for millions of workers and the businesses that depend on them. When our data and APIs are accurate, reliable, and easy to use, every team building location-aware experiences at Samsara moves faster. We're hiring a Staff Software Engineer to help set the technical direction for this platform. You'll work across the geospatial stack: building data ingestion and processing pipelines, modeling and serving map data, improving map matching and routing foundations, and creating APIs that make spatial capabilities reusable across Samsara. It's a small team with broad ownership, and the systems you build will become foundational infrastructure for teams across the company. This role is remote and open to candidates based in the US. You might be a good fit if: You enjoy working with internal and external customers to iterate and build software platforms You care about what Samsara does. The software we build helps keep grocery shelves stocked, lights on, and workers safe on the job. You work with urgency and think through the best solutions for the opportunities, requirements, and scale in front of you. You work well with others. We move faster when we move together. In this role, you'll: Shape the technical direction of the Maps teams Build geospatial systems and integrations that support foundational features across most Samsara products. Scale our offerings to continue to support storage, query and computational load of the real-time features dependent on them Consolidate existing team-specific geospatial solutions into scalable platform-wide offerings. Build agentic solutions that allow our customers to self-serve the data they want to see how they want to see it. Raise the technical bar through code reviews, design discussions, and mentorship Partner with engineering leadership on the bets worth making, and be honest about tradeoffs Represent Samsara externally when it makes sense — talks, open source, community engagement with the mapping/geospatial ecosystem Live out our cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team Minimum requirements: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience 8+ years building software, with at least 2 years in an architect or technical leadership role Strong programming and design fundamentals 4+ years working on large-scale distributed systems 4+ years leading technical projects across multiple teams Nice to have: Experience with GIS technologies and spatial analysis, including PostGIS, spatial SQL, GeoPandas/Shapely, QGIS, and geospatial data validation Familiarity with geospatial data formats and open mapping ecosystems, including GeoParquet, OpenStreetMap (OSM), and OSM PBF; experience ingesting, transforming, validating, or serving these datasets Comfort working in ambiguity and getting teams aligned without needing formal authority The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $162,400 — $290,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here .
POSITION SUMMARY: Natera is looking for an Associate Director, Tax to manage and facilitate the accurate preparation and filing of our company's various tax and compliance filings including, state and federal income and business tax filings, international tax compliance, as well as multi-state sales and use tax returns. The ideal candidate is a team player who creates and implements tax plans, forecasts, and works with the accounting and leadership teams to identify opportunities for process improvement, tax savings, and potential areas of risk. The Tax and Compliance Manager will ensure compliance with state, federal and international tax law through a series of systems, inquiries and controls that are designed to ensure accurate, timely reporting. They will monitor current and impending changes to tax regulation and make the appropriate updates to policies and strategies. The ideal candidate is single minded in their pursuit of ensuring compliance and achieves this goal through optimizing reporting procedures and driving the successful performance of the tax function. This role will be reporting to Corporate Controller. PRIMARY RESPONSIBILITIES: Responsible for federal, state and international tax related accounting and compliance, including such taxes as income, business, sales and use, withholding, HST/GST, VAT and property taxes, as well as preparing and/or coordinated other regulatory and compliance filings as required. Facilitate and manage the preparation and review (including for SOX compliance documentation purposes) company federal and state tax returns and the accurate, timely filing of all tax forms. Ensure accurate, timely filing of consolidated federal, state and local income tax returns and other business-related filings, including sales, use, property tax returns and additional statutory recurring filings. Prepare adjusting journal entries as needed. Responsible for tax related accounts and related reconciliations Find and implement opportunities for process improvement in company tax procedures. Develop and implement strategic tax planning for all necessary federal, state and international taxes. Manage relationship with third party consulting firm who is currently assisting with miscellaneous tax compliance initiatives and tax returns. Plan for and develop overall tax returns and business tax and compliance filings calendar and coordinate timing and inputs from accounting team and management. Maintain effective control procedures over all aspects of the tax process. Manage and facilitate IRS income tax audits: preparing responses, creating schedules, etc. Monitor legislative and regulatory tax law developments, communicate the effects of these developments to management and the tax team and create strategies to capitalize on changes to taxation legislation. Provide support with various internal audits and special tax related projects. Review tax returns and quarterly/yearly tax projections. Occasionally be involved with employee level taxation questions such as equity related with holdings. Being fully engaged in external audits of internal controls by Big 4 and oversee and monitor progress and execution. To be engaged in any other related adhoc projects, as needed. Duties typically performed in an office setting. This position requires the ability to use a computer keyboard, communicate over the telephone and read printed material. Duties may require working outside normal working hours (evenings & weekends) at times. QUALIFICATIONS: 7+ years of experience as a tax manager in public accounting. Have a current CPA license preferred. Extensive individual and corporate tax knowledge. Familiarity with U.S. federal, state and local reporting requirements. Familiarity with international taxation in withholding and VAT taxation. Strong knowledge of tax code, compliance and procedures for corporations. Strong experience with a variety of tax operations and ability to drive process improvements. Proficient with the following software/tools: Microsoft Office (especially Excel and Word), Outlook, gSuite (GMail, Sheets, Hangouts). KNOWLEDGE, SKILLS AND ABILITIES: Ability to work well independently as well as the ability to work well with stakeholders and communicate the benefits of tax initiatives. Strong organizational and interpersonal skills Ability to communicate effectively with others in written and spoken English. Ability to prepare and deliver compelling presentations to others of varied cultural perspectives and levels of organizational responsibility. Ability to establish and maintain harmonious working relationships with colleagues, staff and external contacts, and to work collaboratively and cooperatively in a professional team environment. Demonstrated capacity for gathering and scrutinizing data to identify issues, opportunities, patterns, and sustainable business solutions. Foster a "client service" culture and instill a work ethic that includes collaboration. Strong ability to utilize project management and accounting best practices to organize and prioritize tasks and the tasks of other tax team members. Compensation & Total Rewards This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including: Annual performance incentive bonus Long-term equity awards Comprehensive health benefits (medical, dental, vision) 401(k) with company match Generous paid time off and company holidays Additional wellness and work-life benefits Compensation Range $143,600—$179,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @ natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: - BBB announcement on job scams - FBI Cyber Crime resource page
Blend is a diverse team of problem solvers who believe that the world's financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters. Job Summary Blend IT runs three complementary teams: Helpdesk (day-to-day employee productivity, including hands-on fleet and identity operations), Infrastructure & Projects (platform-level architecture for the systems, SaaS, and automation tooling IT depends on), and Enterprise Apps (Finance, GTM, and People Ops stacks). We're hiring a Senior Helpdesk Engineer to be the bridge between the T1 queue and Helpdesk's project work: own escalations that go past Tier 1, and take Helpdesk-driven projects, especially the AI-and-automation-first initiatives that keep getting pulled off track by day-to-day capacity, from kickoff to finish without needing someone else to close the loop. You'll be the person asking "should a human even be doing this one?" for every recurring request, and then actually building the answer, freeing Helpdesk leadership to set direction instead of getting pulled back into the queue to keep projects moving. This is a builder's role, not a ticket-taker's role. We're looking for someone who is genuinely self-learning: comfortable researching an unfamiliar problem from scratch, forming a hypothesis, testing it, and proposing a fix, rather than waiting to be told the answer or escalating everything that isn't already documented. You'll be expected to bring solutions to the table, not just tickets, and to own a project through to completion, not just start it. How You Will Contribute AI & Automation: Owning the Pivot Identify recurring ticket patterns and turn them into automated or AI-assisted resolutions: self-service, agentic triage, workflow automation (e.g., Workato), rather than solving the same request by hand every time. Propose and prototype new automation or AI approaches to Helpdesk work; bring ideas forward rather than waiting for direction. Continuously evaluate what should move from "a human resolves this" to "a system resolves this, with a human as backstop," and help build that system. Document what you automate so it survives past you. Future teammates shouldn't have to reverse-engineer a workflow to trust it. Senior Escalation & Technical Ownership Be the escalation point for tickets that exceed Tier 1 scope: deeper troubleshooting, ambiguous root causes, cross-system issues. Research unfamiliar problems independently. Read the docs, test a hypothesis, consult the right internal owner when genuinely stuck, and drive the ticket to a real resolution rather than a workaround. Keep resolutions durable: document fixes so the same hard problem doesn't get re-solved from scratch next time. Project Ownership, Start to Finish Own Helpdesk-driven projects end to end: scope, plan, execute, and close, without needing someone else to carry it over the finish line. New tooling rollouts, fleet or identity initiatives, cross-team asks. Flex between queue support and project work based on where Helpdesk needs capacity that week, without either one silently dropping. Who You Are 5+ years of IT support experience, including meaningful time past Tier 1. You've already handled escalations and carried at least one real project from kickoff to done, not just followed a runbook. A genuinely self-learning mindset: given an unfamiliar problem, you research it, form a hypothesis, and test it. You don't wait for someone to hand you the answer, and you proactively propose solutions rather than just surfacing problems. Real curiosity about AI and automation tooling. You don't need to have shipped a production agent or workflow yet, but you should already be experimenting, or clearly want to. Comfortable owning ambiguity and moving between queue work and project work without losing track of either. Hands-on with a modern endpoint/identity stack (JAMF, Intune, Okta, or comparable) and a modern ITSM (Freshservice, Zendesk, Jira Service Management). Strong macOS and Windows troubleshooting fundamentals plus working knowledge of networking (DNS, DHCP, VPN, Wi-Fi) at the endpoint level. Senior peer presence: comfortable driving a project without close supervision, and giving/receiving direct feedback with teammates and stakeholders. Clear communicator, comfortable working async with distributed teammates across the US, India, Mexico, and Spain. Comfortable in a Google Workspace-first environment, with working familiarity with Confluence for documentation. Bonus Points Hands-on experience with workflow automation platforms (Workato, Zapier, n8n, or similar). Experience building or supporting AI-assisted support tooling : ticket triage, auto-response drafting, internal copilots, agentic workflows. Scripting fundamentals (Bash, Python, PowerShell). Background in fintech, banking, or another regulated industry (SOX, SOC 2). Experience supporting a multi-region, distributed workforce. Compensation: Base Salary Range: $90,000 to $106,000 (This applies to full time hires. Final offer determined by multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience.) Bonus: Eligibility is contingent upon both company performance against established goals and achievement of individual performance objectives. Equity: Meaningful Restricted Stock Units in public company stock (NYSE: BLND) so you share in Blend's long-term growth and success. Our Benefits at a Glance We offer a comprehensive and competitive benefits package designed to support your health and work-life balance. Health & Wellbeing We offer medical, dental, and vision benefits, with a generous employer contribution that helps keep your medical insurance costs low. Company-paid life, short-term, and long-term disability coverage Generous PTO, holidays, and maternity/parental leave Employee Assistance Program (EAP): mental health, legal, childcare & eldercare, financial planning, college search, and more Voluntary benefits: accident, critical illness, hospital indemnity, identity theft, and legal insurance Monthly wellness stipend for fitness, mental health, and well-being Additional perks: Milk Stork, pet insurance, and paid volunteer time off Growth & Future 401(k) retirement plan with company match Pre-tax savings: healthcare & dependent care FSAs, Limited Purpose FSA, and HSA