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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 As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points Manage voice-actor reads and QA spots before they air Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas Track pacing across buys and shift budget as performance data comes in Present results and learnings back to the team on a regular basis Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget Have managed podcast programs in-house directly, not only through an agency Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy Work well across many partner teams and can build repeatable processes that scale Enjoy shaping a program from the ground up rather than maintaining an existing playbook Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience negotiating year-long or multi-format partnerships with top shows or networks A background in copywriting or close collaboration with creative teams on host-read scripts Familiarity with B2B audiences and enterprise-focused podcast buys Experience with podcast measurement, attribution, and incrementality testing Relationships with major audio publishers, networks, and independent hosts Experience extending podcast partnerships into video, social, or live formats Familiarity with AI products or the broader developer and knowledge worker audience 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: $200,000 — $255,000 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's Customer Success organization covers our most strategic enterprise accounts through dedicated Customer Success resources, but the majority of our customers will never be reached that way. Programmatic Customer Success is how we close that gap: scalable digital journeys, AI-built engagement plays, and partner-delivered activation motions that drive habitual Claude adoption across a much broader customer base.   This is a new function, and you'd be its first leader. You'll report to the Head of Strategic Deployments & Success and work closely with Product, Partnerships, Growth Marketing, and Strategy to design and operate the system that moves customers from signed contract to deeply embedded, outcome centric usage.   The right person for this role has built something like this before, at real scale, and is genuinely excited to build it again from the ground up with better tools. We anticipate using Claude as a core part of how the team operates, but will supplement with best of breed SaaS products where appropriate.  Key responsibilities Define the customer journey and moments that matter along the journey that lead to daily usage of Claude in a way that delivers outcomes for Claude users Define and own the programmatic CS strategy: how we tier accounts, what motion each tier receives, and how customers move between them as their needs evolve Design and ship digital success programs, including lifecycle communications, in-product nudges and self-serve onboarding in a way that drives activation and habitual usage without human-touch coverage Build and run AI-powered engagement plays that extend the team's reach; work with Product to clarify what this team builds versus what lives in the product itself Set the quality bar and requirements for partner-led activation, and maintain a tight feedback loop with our Partnerships team who owns the partner ecosystem Establish the metrics framework for programmatic success: define what "activated" means at each tier, identify leading indicators, and build the instrumentation to track them Run a rigorous experimentation program to understand which motions actually change customer behavior Hire and lead a small, high-leverage team while bringing cross-functional partners along on the vision and the operating model Minimum qualifications Proven experience leading and building programmatic, digital success, lifecycle, or PLG motions at significant scale — with direct ownership of an adoption or activation outcome Track record of building scalable systems and programs, not just managing existing ones; you've started from a blank page before Strong cross-functional instincts — comfortable writing briefs that other teams execute against, resolving handoff ambiguity, and influencing roadmaps without direct authority Data-driven approach to decision-making, including experience designing experiments that distinguish real behavior change from activity metrics Experience managing and developing teams Preferred qualifications Experience spanning more than one of: digital/PLG, partner ecosystems, lifecycle marketing, or scaled CS — ideally combined into a single integrated motion Hands-on familiarity with AI-powered workflows or automation as a force multiplier for a small team Background working at a fast-growing technology company where the playbook was still being written Experience with tiered coverage models and designing the handoffs between high-touch and low-touch 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: $365,000 — $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 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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations 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 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 AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Responsibilities: Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in Guide customers through security reviews, verification for security use cases, and procurement Teach the Account Executives in your business unit to spot and qualify security opportunities Bring what you hear from security teams back to our product, safeguards and marketing teams You may be a good fit if you: Have closed complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver Have worked as a specialist alongside account teams while carrying your own number, and can say exactly what you did to win the deal Can hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done Have deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security Build pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts Lead through influence, not authority: Account Executives bring you into their accounts because you help them win Sell consultatively: you understand the problem before you propose anything, and you're honest about what a product can't do Care about making AI systems safe and beneficial Strong candidates may also have: Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience selling AI, developer or data platform products to technical buyers Hands-on experience as a security practitioner or sales engineer before moving into sales 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: $380,000 — $450,000 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. 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.    

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.    

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: Samsara's Product Operations team is looking for a hands-on builder to join our Platform team and help accelerate our enterprise-ready roadmap. You will support the Billing, Org & Auth, and Security product teams, working closely with R&D leaders to turn ambiguous questions into rigorous analyses, repeatable workflows, and internal tools used across our Product and Engineering organization. You move ARR. Not "contribute to." Revenue (or an equivalent business result) grows because of decisions you made . You might investigate why enterprise customers stall on a security or permissions requirement, combine signals from thousands of support tickets and customer conversations to find what's blocking expansion, or build a dashboard that helps hundreds of product managers and engineers see how platform gaps translate into pipeline and retention risk. This is an individual-contributor role for someone who has already shown they can build and ship. You do not need a technical background. However, you do need to use modern AI and development tools to move beyond a prototype: work with data, write and debug code using AI, validate the results, put a useful tool in front of users, and improve it until people trust and rely on it. This is a remote position open to candidates based in the United States and Canada. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: Your efforts will help keep the lights on, get food into grocery stores, reduce emissions, and, most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set you up for success and have built a culture of rapid career development, with countless opportunities to experiment and master your craft in a hyper-growth environment. You're energized by our opportunity: Our vision to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together, and support each other. You will be surrounded by a high-caliber team that encourages you to do your best. You measure yourself by revenue outcomes: You want your work tied directly to ARR, and you're accountable for the result, not just the activity. In this role, you will:   Drive ARR through platform decisions. Identify the enterprise-readiness gaps that most limit new business, expansion, and retention, and shape prioritization so that fixing them measurably moves ARR. Accelerate enterprise-ready delivery by partnering with the Billing, Org & Auth, and Security product teams to define priorities, remove blockers, and track progress against the commitments customers and Sales are waiting on. Build and ship internal data and AI products that help Product and Engineering teams understand platform usage, customer friction, and the highest-impact opportunities to improve. Analyze large volumes of structured and unstructured data, including product telemetry, support tickets, customer conversations, feature requests, surveys, and product metadata, to find patterns that would be difficult to see manually. Turn one-time analyses into reliable, repeatable tools and workflows with clear data definitions, quality checks, documentation, and feedback loops. Translate complex findings into clear, decision-ready recommendations for R&D leadership, while preserving the evidence and methodology behind them. Quantify the revenue impact of platform investments and report on it, so every roadmap bet has a clear, defensible ARR case before and after launch. Own projects end to end: scope the problem, identify and connect the right data, build the first version, launch it, measure adoption and business impact, and continue improving it. Use AI-assisted development tools thoughtfully, checking outputs, debugging failures, and applying sound judgment rather than treating generated work as automatically correct. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: 8+ years of professional experience in a role such as product operations, data or product analytics, business operations, consulting, technical product management, or another environment where you solved ambiguous problems with data and technology. A demonstrated record of building and shipping something useful for real users, such as an internal tool, application, dashboard, automation, data product, or repeatable analytical workflow. A track record of connecting your work to revenue or an equivalent business result (ARR, retention, expansion, cost), and the ability to show how your decisions caused it. Experience structuring and analyzing messy or large datasets, validating the results, and explaining what the analysis does and does not prove. Strong product and customer judgment: you start with the user problem and business outcome, not the technology. Clear written and verbal communication. You can explain technical or analytical work to non-technical partners and executives without losing the important details. High ownership, curiosity, and attention to detail. You are comfortable learning quickly, asking sharp questions, forming a point of view, and iterating through ambiguity. An ideal candidate also has: Experience in a B2B technology company or working closely with Product and Engineering teams. Experience in Product Operations functions: defining and tracking product roadmaps and feature requests, and bringing the voice of the customer to every product conversation. Familiarity with enterprise platform domains such as billing and monetization, identity, access, and org management, or security and compliance, and with what enterprise buyers require in each.   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 $126,000 — $202,500 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

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The CEE team is a highly consultative sales team that is responsible for the growth of Stripe's largest customers within the region. We work with the most ambitious and fastest growing companies, from Booksy, to Docplanner, to Dr.Max - Stripe's payments and financial infrastructure unlocks new revenue streams and growth opportunities for their businesses. What you'll do As an Enterprise Account Executive, you'll own the full sales cycle, from prospecting and closing to managing existing relationships and identifying new opportunities to expand Stripe's footprint within existing accounts. Specifically, we're looking for someone who can execute on long-term sales strategies, engage with internal and external stakeholders, align on technical and business requirements with product teams, build value in competitive situations, lead commercial negotiations, and close deals. Responsibilities Work with both new and existing Stripe customers to develop and execute long-term sales strategies to expand Stripe's revenue Own the full sales cycle, from business case development, to deal structuring and negotiating, to close Own a named account list and develop account plans for winning and expanding business with high growth technology companies Develop outbound strategies to create and nurture opportunities Work with both new and existing Stripe customers to develop and execute long-term sales strategies to expand Stripe's revenue  Drive deal strategy and commercial negotiations for large, complex renewals Develop relationships with executive stakeholders within your book of business Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 10+ years of sales experience, preferably selling a highly technical product to enterprise customers, with a track record of top performance Ability to understand technical requirements and craft solutions across multiple products Ability to develop and execute account plans spanning multiple business units across complex organizations A knack for working well with a wide range of people, both internally and externally Strong presentation skills, particularly for in-person meetings with multiple stakeholders Proven ability to lead complex negotiations involving bespoke commercial agreements Superior verbal and written communication skills in English and in Polish or Czech Ability to operate in a highly ambiguous and fast-paced environment Strong interest in technology and a deep understanding of the space

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Finance Operations (FinOps) team provides and enhances core business services that are the backbone for Stripe. FinOps uses data and operational excellence to deliver technology solutions, procurement, billing and payroll services, strategic sourcing, and supplier relationship management to Stripe. What you'll do We're looking for a Monetization Operations Analyst to join our growing team. This individual will help us improve user experience through accurate and timely onboarding of contracts, workflows and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers. Responsibilities Be responsible for onboarding sold custom contracts into our billing systems Ability to understand the legal languages of the contract and comfortable working on it and have strong attention to detail Build scalable and auditable onboarding processes for new and existing users Partner with internal systems, deal desk, legal, sales ops, internal audit, go-to-market, engineer and account managers to develop and improve the process. Partner with account managers to solve user inquiries related to onboarding implementation, billing, and collections and if needed troubleshoot as well. Analyze our processes and instigate changes to help scale our operations and improve user experience Work closely with other Stripe teams to assist with system implementations for billings, collections, and assist with internal and external ad-hoc audit support. Help scale and optimize our processes by assisting with the execution of key projects and programs. Gain unique insights into various businesses on Stripe scale and operate Can quickly learn the Stripe ways of working and make a real impact through process enhancements. Be a part of building a brand-new team and operational culture for Stripe Assist with monthly and quarterly flux analysis of key metrics Assist with ad hoc projects Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 4-5  years of relevant financial operations/billing experience or 3+ years of customer service experience with a degree in Business Administration, Finance, or relevant field. Excellent communication and organizational skills, both written and verbal. Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions Strong knowledge of gSuite tools, Salesforce and MS-Office products and experience working with/analyzing contracts and large data sets. Independently analyze and evaluate information from various data sources to determine a course of action for a matched case Demonstrated experience partnering with cross-functional stakeholders Demonstrated history of taking on various types of challenging projects and producing results Solution-oriented mindset with enthusiasm for establishing best practices Self-disciplined, diligent, proactive and detail oriented You will also likely have (not required): Knowledge in payments and the fintech industry The ability to be flexible and comfortable with changing requirements A builder's mindset and a willingness to question assumptions and conventional wisdom A passion for creating new systems and solving problems via infrastructure and automation