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Location: Remote-Friendly (Travel Required) | San Francisco, CA 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 Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. You'll be the engineer who owns autonomous systems across that footprint as one security domain, from both sides: drones, ground robots and automated vehicles for patrol, inspection and moving hardware, including the security of that automation inside secure areas, and the detection systems that tell us what is flying over or operating near a site uninvited. You set the approach, select and integrate the platforms and sensors, write the requirements vendors build to, and run what you ship, from the operating model where operators assign missions and machines carry them out to the playbook that turns a detection into an identified track and a well-evidenced handoff to whoever holds authority over the airspace. Interdiction is not part of this role. The goal is security that runs itself: coverage, fleet health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations and legal teams, and directly with site operators, equipment vendors and aviation and public safety authorities. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities Autonomous security and inspection systems: own the drones, ground robots and other autonomous platforms for perimeter patrol, incident response and infrastructure inspection: platform selection, operating model, operator qualification, maintenance, and the data path from machine to analyst Tools, automation and AI agents: build the integrations that carry detections, tracks, telemetry and fleet health into the team's security monitoring platform, and the tools and agents that triage detections, check fleet health and assemble evidence. When a review keeps costing people time, you build the tool or agent that retires it Detection of uncrewed systems: engineer the sensing that tells us what is flying over or operating near a site, what it is and who needs to know: sensor selection and evaluation against live targets, per-site coverage, classification and false-alarm handling, and the playbook from first detection to handoff, with evidence retained Security of site automation: engineer the controls on automated vehicles, robots and similar machines that move hardware or work inside secure areas: identity and access, network isolation, what they may record and where it goes, fail-secure behavior, their place in chain of custody, and acceptance before they enter a site Regulatory and site constraints: establish what we may sense, fly, drive, record and retain at each site, partner-operated sites included, under the aviation, spectrum, privacy and safety rules that apply there, with the waivers and approvals that extend it and coordination with local authorities set up before it is needed Health monitoring: define and test heartbeats, loss-of-coverage and lost-link alarms and fail-secure behavior, so a silent sensor or machine shows as a fault, not a quiet day Vendor requirements and acceptance: write the requirements, evaluate against live flights and runs, and hold vendors to what they ship Minimum qualifications Have engineered autonomous or sensing systems in the field (drones, ground robots, automated vehicles, or RF, radar or optical detection sensors): selected, integrated or secured them for an operation other people relied on, and verified what they actually do against real targets or runs rather than a datasheet Have integrated systems you did not build (vendor APIs, SDKs, appliances, machine and sensor telemetry) into a platform that outlives any one of them Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review Have done this work hands-on for data centers, critical infrastructure or a large hardware fleet Have designed inside a regulatory or safety constraint (aviation, spectrum, privacy, machine safety or similar) and can show the decision it drove Own a domain end to end: set the approach, carry it through with vendors, site operators, partners and authorities, and run it as something people depend on every day Preferred qualifications Remote pilot certification (for example FAA Part 107) and experience flying beyond visual line of sight under a waiver or exemption Experience with counter-drone (counter-UAS) detection, airspace surveillance or air traffic data systems Experience running a robot, drone or automated-vehicle fleet in an industrial, logistics or data center setting: fleet management, mission planning, safety cases Experience securing embedded, operational technology or robotic systems: device identity, network segmentation, update control, logging Experience with physical security operations at large sites, with law enforcement or aviation authorities, or at sites you did not fully control: cloud, colocation or GPU cloud operators Have built AI agents or automation that replaced recurring manual work 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Location: San Francisco, CA 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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in antibody process development and manufacturing to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in making antibodies, with hands-on experience expressing, purifying, characterizing, and formulating them, from small screening batches to material for IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll build and run the workflows that turn AI-designed sequences into well-characterized protein, and pressure-test AI predictions of expression, stability, and manufacturability against real data. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Develop and run expression and purification processes for antibodies and other recombinant proteins end to end, including transient and stable expression in mammalian cells (HEK293, CHO), affinity capture (Protein A, IMAC), polishing chromatography, buffer exchange, and formulation Characterize what we make with the right analytical panel, for example SEC, CE-SDS, icIEF, LC-MS (intact mass, peptide mapping, glycans), DLS, thermal stability, endotoxin, and binding kinetics (SPR, BLI) Build the laboratory for this work, including selecting, installing, and qualifying equipment and setting up workflows that scale from plate-based production of hundreds of designs to gram quantities of a lead Evaluate AI-designed antibodies for manufacturability (titer, aggregation, stability under stress, viscosity, chemical liabilities), drive them to experimental readout, and feed results back to research teams Plan the chemistry, manufacturing, and controls (CMC) path toward IND-enabling studies, from cell line development and scale-up to analytical methods and stability, and coordinate technology transfer and manufacturing with external contract manufacturers Ensure experimental data across programs is high quality and well documented, including batch records, methods, raw data, and failure modes Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications PhD in biochemical engineering, chemical engineering, biochemistry, or a related field Demonstrated experience in process development and manufacturing of antibodies or other recombinant proteins, including material supplied for IND-enabling or clinical studies, with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of biologics process development experience beyond the PhD Depth in both upstream (cell line development, bioreactors) and downstream (chromatography, filtration) development, with working knowledge of analytical and formulation development Experience setting up a protein production or process development laboratory, including laboratory automation and high-throughput, plate-based expression and purification Experience directing technology transfer and GMP manufacturing at contract development and manufacturing organizations, with contributions to the CMC sections of an IND Statistics or coding skills, for example design of experiments or Python for data analysis and automation Experience using AI or ML tools in the life sciences Publications and/or patents demonstrating scientific impact 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in therapeutic antibodies to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in antibody design and engineering who has taken antibodies through the whole process, from target selection and lead optimization to candidate selection and IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive antibody programs end to end and pressure-test AI-designed antibodies against the bar a real drug candidate has to clear. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and engineer therapeutic antibodies and oversee programs end to end, including target and epitope selection, choice of format (IgG, Fab, scFv, VHH, bispecific), humanization, affinity maturation, Fc engineering, and candidate selection Define the screening cascade for each program, from binding kinetics (SPR, BLI), epitope binning, and species cross-reactivity to cell-based functional assays and developability (expression, aggregation, polyreactivity, stability, viscosity, immunogenicity risk) Plan the path from lead to IND-enabling studies, including in vivo pharmacology, pharmacokinetics, toxicology, and the handoff to process development and manufacturing Coordinate antibody production, characterization, and in vitro and in vivo studies with external contract research organizations and academic partners Evaluate AI-designed antibodies, drive them to experimental readout, and feed results back to research teams Ensure experimental data across programs is high quality and well documented, including sequences, protocols, raw data, and failure modes Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field Demonstrated experience in therapeutic antibody discovery and engineering, including at least one antibody you helped take from discovery through candidate selection and IND-enabling studies Working knowledge of what an antibody IND requires across pharmacology, pharmacokinetics, toxicology, and chemistry, manufacturing, and controls (CMC) Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of therapeutic antibody experience beyond the PhD Track record of advancing more than one antibody program into IND-enabling studies or the clinic, with contributions to pre-IND or IND documents Hands-on experience with antibody expression, purification, and biophysical characterization Experience directing antibody production, assays, and in vivo studies at contract research organizations Structural biology, computational protein design, or coding skills, for example Python for sequence and assay data analysis or structure prediction and protein design tools Experience using AI or ML tools in the life sciences Publications and/or patents demonstrating scientific impact 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. You'll own marketing for our channel: the resellers, distributors and global systems integrators who take AIStor to customers. Most of your time goes into building and running joint marketing plans with our global focus partners. The rest goes into the programs that keep every partner informed, engaged and ready to sell. This is a builder role. Some of what's below exists today in early form, and some of it doesn't exist yet. You'll have room to shape it. What You Will Do: Focus Partner Marketing Plan Build joint marketing plans with our top 5 focus partners and run them quarter to quarter, with clear pipeline goals for each. Work side by side with Partner Managers and AEs so every plan lines up with the partner's business plan and our strategic accounts. Run co-branded campaigns, webinars, content, and account-based programs that create new, partner-sourced pipeline. Review results with partners every quarter. Double down on what works and cut what doesn't. Channel Partner Communications Keep partners current on product news, launches, competitive moments, and company updates through a regular newsletter and to partner webinars. Help maintain the partner comms calendar so it lines up with our campaign team's priorities and doesn’t overlap communications with demand gen initiatives. Make sure partners hear about big announcements before or alongside customers, not after. Channel Partner Field Events Plan and support partner field events and regional moments globally, from customer roundtables to partner-hosted sessions at larger shows. Run events through our partner event request process so each one has agreed commitments up front: leads, meetings, co-investment, and follow-up. Track every event in Salesforce and report pipeline and ROI afterward. Help us stop funding events that don't perform. Coordinate with our corporate events team so partner presence at major shows is planned. To-Partner Digital Marketing Run always-on digital programs aimed at partner sellers, so they know why MinIO wins and remember us when the right deal comes up. Partner with our digital and campaign teams on targeting, creative, and measurement. Your Skills and Experience: 10+ years in B2B marketing, with at least 5 in channel or partner marketing at an infrastructure software, storage, data or cloud company Hands-on experience marketing with and through VARs and distributors. GSI experience is a strong plus. A track record of building joint marketing plans that produced pipeline you can point to. Experience running partner field events and managing MDF. Comfort in Salesforce: campaigns, attribution, and reporting. The ability to say no: partners and partner managers will ask for a lot, and part of this job is picking what matters. Clear writing and the confidence to present to partner executives and our own leadership Willingness to travel. Experience with a PRM or through-channel marketing platform such as Salesforce PRM, Impartner, Unifyr or ZINFI. Background in AI infrastructure, data platforms or object storage. Experience building a partner program from an early stage. Experience using reporting tools like Omni Analytics. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote-Friendly (Travel Required) | San Francisco, CA 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 Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. You'll be the engineer for one or more security domains end to end: design the controls, build the systems that enforce and verify them, and set the technical standard the rest of the team and our partners build to. The engineering is in the controls and the tooling that proves them. The goal is security that runs itself: requirements kept as code and checked automatically, evidence, chain of custody and access continuously verified, and tools and agents in place of manual reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. This is a foundational role: you'll shape how our security engineering is built and scaled. The team's physical security systems engineers design and test the site security systems themselves; this role engineers the controls around them and across the domains beyond the facility itself: hardware custody, media, personnel and vendors. You'll work with the rest of DCSE, Anthropic's compute, data center operations, legal, compliance and procurement teams, and directly with data center operators, hardware vendors and logistics providers. The role involves regular travel to data center sites, which are critical infrastructure, and may include on-call for security events at them. Key responsibilities Security domains, end to end: own one or more of physical security at partner-operated and Anthropic-operated sites, hardware supply chain and chain of custody, media protection and sanitization, personnel security and site access, third-party and vendor security assessment, and maintenance and contingency controls Tools, automation and AI agents: build the internal tools, automation and agents the team runs on: evidence collection, access reviews, asset and custody tracking, partner intake. When a process keeps costing people time, you build the tool that retires it Security review for new sites, leases and vendors: find the gaps in the design, the contract and the operator's procedures, write the security terms and exhibits, and verify the fixes after signing Requirements and procedures as code: write requirements and procedures that a partner can build to and an assessor can test, kept as code in a version-controlled repository Site and supplier assessment: assess sites and suppliers against those requirements, on site and from evidence; document deviations and engineer the compensating control where a requirement can't be met as written Continuous compliance evidence: tie controls to the compliance frameworks we and our partners are assessed against, with evidence always current so an assessment pulls from it directly Security event response: respond to security events at sites (intrusion alarms, custody breaks, access violations) with operations teams and site operators; write up what happened and fix the control that allowed it Minimum qualifications Have engineered a security control domain end to end: designed the controls, built or integrated the systems that enforce them, and verified they work Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review Have done security work hands-on for data centers, critical infrastructure or a large hardware fleet, in at least one of the domains under Key responsibilities Have applied a control framework such as NIST SP 800-53, ISO 27001 or SOC 2 to real systems and produced the evidence for it Write requirements a third party can build to and an assessor can test: each states what must be true, how it is verified and what evidence shows it Preferred qualifications Experience across several of the domains above rather than one Experience at sites you did not fully control: cloud, colocation or GPU cloud operators Experience with federal assessment regimes based on NIST SP 800-53, including supply chain (NIST SP 800-161) and media sanitization (NIST SP 800-88) guidance; have produced evidence an assessor accepted Have built governance, risk and compliance (GRC) or evidence automation: automated control checks, asset or custody tracking, questionnaire and assessment pipelines, docs-as-code workflows Have run incident response at physical sites: alarms, investigations, after-action fixes Have worked in live data halls and on active construction sites, and can follow a method of procedure Experience redlining contract security language with legal and procurement counterparts Experience with international sites: per-country personnel screening and staffing restrictions, data residency, and export controls on hardware Have built AI agents or automation that replaced recurring manual security work 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to semiconductor organisations across the Netherlands. You'll drive the adoption of safe, frontier AI by securing strategic deals with semiconductor equipment makers, chip designers and manufacturers, and the specialist suppliers around them. You'll leverage your consultative sales expertise in the semiconductor and high-tech sector to propel revenue growth while becoming a trusted partner to semiconductor stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across hardware and software engineering, R&D, manufacturing, supply chain and field service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with semiconductor decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the semiconductor sector. Navigate complex, global, engineering-led organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to semiconductor procurement cycles, R&D and capex budgeting, and supplier qualification processes to meet and exceed revenue quotas. Analyse semiconductor market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within hardware and software engineering, design and verification, R&D, manufacturing and quality, supply chain and procurement, and customer support and field service. Collaborate cross-functionally to differentiate our offerings for semiconductor applications Navigate complex semiconductor stakeholder ecosystems including executives, engineering and R&D leadership, IT and security teams, digital transformation functions, legal and compliance, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying semiconductor market needs. Provide insights that strengthen our value proposition for semiconductor clients Continuously refine the semiconductor sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within semiconductor, high-tech or advanced manufacturing organisations, ideally in the Netherlands or wider Benelux, and securing strategic deals by understanding both technical requirements and engineering use cases Demonstrated ability to navigate large, global, engineering-led organisations and procurement processes, building consensus among diverse stakeholders including executives, engineering and R&D leadership, and IT departments Extensive experience negotiating complex agreements within high-tech procurement frameworks, including supplier onboarding, IP protection, security and data governance reviews Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various technical and business audiences, from engineering and R&D leads to senior executives Deep understanding of semiconductor buying cycles, decision-making processes, and key pain points, including the IP sensitivity, export control and supply chain pressures the industry operates within A strategic, analytical approach to assessing the semiconductor market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for semiconductor and high-tech use 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: £330,000 — £380,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Senior Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic. The Life Sciences team works to accelerate progress in biology with AI, combining frontier models with hands-on computational and experimental research. We want the tools, pipelines, datasets, and benchmarks we build in genomics and structural biology to be useful beyond our own projects, so we plan to release them to the community. Computational biology has a long tradition of open, shared software, and we want to contribute to it well. Every release should be something a researcher can install, run on their own data, and trust: correct on real inputs, validated against reference data and established methods, documented, versioned, and maintained after launch. You'll own that standard. You'll write a large share of the code yourself, decide when something is ready to ship, and stay with it once people start using it. You'll also be an active member of the biology software community: maintaining public repositories, answering issues, speaking at conferences and workshops, and bringing what you hear from researchers back into what we build next. We use Claude and AI coding agents heavily to build software, and we expect you to do the same across design, implementation, testing, and review. Code written by an agent is held to the same standard as code written by hand: you should understand it, test it, and measure its performance before it ships. We're looking for someone with deep software engineering experience who already works this way. The shape of the role is flexible. You might spend most of your time as an individual contributor, or you might lead a small group of engineers and scientists while continuing to contribute directly. Your focus can be genomics, structural biology, or both. Experience in other areas of computational biology is welcome, and we expect the work to range more widely over time. What matters most is a record of biology software that other people have adopted and relied on. This is a chance to shape how AI is put to work in biological research, on problems that matter for human health and scientific understanding. If building software that scientists trust is the work you want to do, we want to hear from you. Key responsibilities Design, build, and maintain biology software in genomics and structural biology (libraries, command-line tools, pipelines, datasets, and benchmarks) for use by researchers and AI agents, inside Anthropic and externally Own the path from research code to public release, including testing, validation against reference data and established tools, benchmarking, documentation, and packaging, and make the call on when something is ready to ship Maintain what we release: triage issues, review outside contributions, and manage breaking changes Represent the team in the biology community through conferences, workshops, tutorials, and direct work with researchers and maintainers, and turn what you learn about their needs into priorities for the team Partner with the team's computational and experimental scientists to turn research code into well-tested, reusable software Lead the technical direction of the projects you own through design review, code review, and mentoring, and, depending on your interests and the team's needs, lead a small team Build with Claude and AI coding agents as your default way of working, hold agent-written code to the same standard as your own, and set the team's practices for reviewing and validating it Minimum qualifications Have built, released, and maintained biology software that researchers outside your own group use, with evidence of adoption you can point to (for example public repositories, package downloads, citations, or use in other groups' pipelines) Have deep working expertise in genomics or structural biology, including the data types, file formats, standard tools, and common failure modes of at least one of these fields Are proficient in Python and comfortable working with large datasets in Linux and cloud or cluster computing environments Practice rigorous testing and release engineering: unit and integration tests, continuous integration, validation against reference data, packaging, and versioning Use AI coding tools as a central part of how you build software, and can show how you verify the correctness and performance of code you did not write by hand Have led a technical project with multiple contributors, setting direction and reviewing others' work while continuing to write code yourself Can explain technical work clearly to both biologists and engineers, in writing (documentation, tutorials) and in person (talks, workshops) Preferred qualifications Depth in both genomics and structural biology A record as the creator or a core maintainer of a widely used open-source tool in computational biology Experience managing or formally leading a team of engineers or scientists A graduate degree in computational biology, bioinformatics, computer science, or a related field, or equivalent experience Proficiency in a systems language such as Rust, C++, or C, and experience with performance work on large biological datasets Experience building software in other areas of computational biology, such as phylogenetics, proteomics, cheminformatics, or high-throughput screen analysis Experience shipping software built largely with AI coding agents, building agentic systems on large language models, or training machine learning models on biological sequence or structure data 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Texas, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the South Central Region. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs What You’ll Do Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks) Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community Skills We’re Looking For 7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures Hands-on experience with SQL, ETL/ELT, and data modeling Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools Ability to gather and translate technical and business requirements into concrete solutions Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments Optional Bonus Skills Prior experience at an analytics, ETL, BI, or open-source software company Hands-on experience with dbt Cloud or dbt Core or Fivetran Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF) Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend) Experience with self-hosted software applications and supporting infrastructure Hands-on networking experience, cloud and on-premise The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process OTE (On Target Earning) $197,516.46 — $303,462.32 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Paris Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 📍 Paris, on-site 🗓 Early June to end of August 2027 🎓 Students (incl. Polytechnique 2nd-year internship) ⭐ THE PROGRAM ⭐ This summer, for the first time, Alan is bringing in a cohort of interns for a 3-month internship, from June to August. This program is for students whose curriculum includes a summer internship. This is not a "watch and learn" internship. Past interns and Founders Associates have shipped work that teams still use after they left: - An AI tool searching the web for fake documents used in insurance fraud. The findings started a fraud-prevention pilot with a major French insurer. - An automated system approving simple medical claims in one of Alan's international markets, with no manual review. - An AI agent for sales reps. Cuts prep time before every prospect meeting with a personalized meeting brief and pitch. - A national health insurance bid. It led to a new local company and its first General Manager hire. - Launched a new insurance product, from the regulator application to in-app design and customer support. Took the product from idea to a regulator-ready launch. - A public AI healthcare hackathon co-hosted with Mistral. Brought together top AI builders, with €10K+ in prizes and credits for the winners. This summer, it's your turn. ⭐ WHAT YOUR SUMMER LOOKS LIKE ⭐ - Weeks 1 & 2 - team sprint: you build a shared project in a mixed squad with other interns. You meet several teams and see how Alan works as a whole. - June to August - your project: you’ll take full ownership of a project that drives real value, working inside a host team with clear goals and the freedom to decide how to reach them. At the end of August, you demo it to the company. - All summer - the program: talks and workshops with Alan leaders including the CEO/CTO, weekly coffee chats with Alaners, and a mentor who helps you grow. You'll join one track, based on your interests, and the projects available across: - Engineering - Data & AI - Product - Design & Research - Marketing - Customer Care - IT & Operations And more! ⭐ KEY OUTCOMES ⭐ By the end of August, you will have: - Shipped a project that a real team uses, and demoed it to the company - Built with AI, data and code on real problems: shipped AI agents, automations and analyses that go to production - Worked closely with senior Alaners and Alan's leadership - Met a cohort of sharp students from top schools in France and abroad - Gained a 360° view of how a fast-growing company works Strong interns may be invited back to Alan after graduation, as a Founder Associate or full-time hire. ⭐ PROFILE & COMPETENCIES ⭐ - You build. You code, or build seriously with AI tools, and you have something to show us: a tool, a prototype, a side project, a hackathon project. - You learn fast. You're comfortable owning a project that isn't fully defined yet, and you figure things out before asking someone to show you. - Analytical sense. You frame the right questions and break down problems clearly. - High agency. When something is broken, your first instinct is to fix it. - Clear writing. At Alan, we work in writing, in English. You need to be fluent. - Growth mindset. You ask for feedback and use it. - Available for 3 months, from June to end of August 2027. ⭐ THE PROCESS ⭐ We know you have other offers to weigh, so our process is designed to be efficient: 1. Application (tell us about something you've built) 2. A short call with the team to meet you 3. A technical case 4. Final fit interview Applications are reviewed on a rolling basis. International students welcome. If you apply through a university program (Princeton IIP, MIT MISTI, Penn GRIP, Waterloo Co-op), mention it in your application. 🙌 PERKS & BENEFITS - Competitive pay: €2,800 gross per month, well above the market rate for internships - All the tools you need: MacBook Pro, monitor, noise-cancelling headphones - A coach from day one: like every Alaner. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Transport: commuter benefits IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Americas Time Zone (UTC -07:00 ~ UTC-04:00) Workplace: Remote 🌎 Please only apply if you are based in Americas timezones. We unfortunately cannot accept applications beyond these. The specific countries we can from in this timezone are listed here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?tab=t.0#heading=h.s4l5faueua5w. ⏳ Please hurry! We're running a speedy process. Applications close on 13 November. Assessments will close on 15 November, and we'll host interviews during the 2 following weeks. *** Hi there, I'm Josh Lipner, Manager, Account Management at TestGorilla. We're excited to share more about the Customer Success Advisor, Renewals role and our team. ABOUT TESTGORILLA At TestGorilla, we’re on a mission to place 1 billion people in their dream jobs. To democratize opportunity, we are building the world’s leading skills-based talent discovery platform - one that replaces reliance on resumes with scientific validation of what people can truly do. Founded as a 100% remote company in 2020, our global team is united by high standards, a lot of heart, and a relentless drive to conquer new technological frontiers. We are AI-fluent builders who care deeply about replacing bias with fairness. After empowering thousands of companies to hire smarter and faster, we are now unlocking the next phase of our scale-up journey - where you’ll play an instrumental role in creating a world where skills matter most! ABOUT THE ROLE As our Customer Success Advisor, Renewals, you'll run the commercial conversations that keep our customers with us. You'll take renewals from first quote to signed order, handle pricing and billing conversations within our pricing and discount framework, and guide customers through plan changes, upgrades and downgrades across our assessment and sourcing products. You'll also take customers through the commercial side of our migration to usage-based pricing: explaining what changes, what it means for their spend, and landing the right plan for them using our migration playbook. When a customer wants to cancel or disputes a charge, you'll work the conversation through our retention and refund guidelines, and bring in your manager when a case sits outside them. You'll work with AI agents as part of your day. They handle the routine end of renewals and billing: sending notices, preparing standard quotes, gathering account and invoice history, and answering simple plan questions. That frees you to spend your time on the conversations that need a person: negotiating within the framework, handling objections, and resolving the cases that don't fit a standard answer. You'll check their work before it reaches customers, step in when a case needs you, and share what you learn so they get better at the routine work over time. This is a high-volume role with a commercial edge. You'll run a steady pipeline of renewals and commercial cases across our self-serve and mid-market customers. We're looking for someone who is commercially astute, organised, a great communicator and calm under pressure, and who is excited and able to contribute to our AI journey: automating the repeatable and humanising the exceptional. RESPONSIBILITIES In this role, your responsibilities will include but not be limited to: - Uphold TestGorilla's behaviours and foster an inclusive, supportive culture. - Collaborate effectively with global colleagues across teams and time zones. - Own renewals from first quote to signed order across our self-serve and mid-market customers, for both our assessment and sourcing products. - Handle pricing and billing negotiations, upgrades, downgrades and our usage-based pricing migration within our pricing framework and playbooks: quoting, explaining what changes and what it means for the customer's spend, and landing the plan that fits how they use the product. - Work cancellation and dispute conversations through our retention and refund guidelines, resolving unexpected charges and refund requests with Finance and retaining the customer where we can. - Work alongside our AI agents, letting them handle the routine end of renewals and billing while you take the negotiations, objections and cases that need a person. - Train the agents: check what they send before it reaches customers, correct what's wrong, and feed back what you learn so they handle more of the routine work over time. - Maintain a single source of truth in our agentic customer success platform, with non-negotiable CRM hygiene: every renewal, plan change and dispute logged accurately so the team and the agents work from the same picture. WHAT YOU'LL BRING We're looking for someone who: - Is passionate about TestGorilla's mission to help one billion people find their dream jobs. - Is commercially astute, with experience managing renewals and negotiations at scale in a Customer Success, Renewals, Account Management or Sales role. You can quote, explain a price change, and apply a pricing and discount framework to get to the best outcome. This is a must-have. - Is AI fluent and has personally built automations or agentic workflows (in n8n, Zapier or similar), with experience working alongside AI agents or automation in a customer-facing role. You can show us what you automated and what it delivered. Using an LLM alone is not enough. This is a minimum requirement. - Communicates clearly, in writing and on calls, in English and Spanish. Fluency in both is a requirement. - Is good with customers: you build relationships, stay calm in challenging conversations, de-escalate and retain, and manage a high volume of cases without letting any slip. You treat CRM hygiene as part of the job, not an afterthought. - Thrives in a fast-paced, remote-first environment with high expectations and some ambiguity, and is honest with yourself that this is the kind of place you want to work. - Learns fast and stays curious: you pick up new tools quickly, ask good questions, check answers rather than accept them, and give and take feedback in the moment. - Is available for customer calls during US business hours. This is a requirement. We actively seek diversity and encourage applications from everyone. If you're interested in this role but your experience doesn't perfectly match the description, please still apply. Studies show that women and underrepresented groups can be hesitant to apply unless they meet every requirement. If this role excites you and you're confident you can do the job, we encourage you to apply! BONUS SKILLS While these skills aren't a requirement, we'd be very interested to hear from you if you have: - Prior familiarity with Chargebee, Zendesk, HubSpot, n8n, Jira or Confluence. - Experience with usage-based or credit-based SaaS pricing models. WHAT'S IN IT FOR YOU? - Global Team: Join a fully remote, mission-driven team from around the world - Competitive compensation: Receive a competitive pay ( €31,360 - €38,000 per year) + Share Appreciation Rights (SARs) - Remote & flexible work: Work from almost anywhere*. Enjoy flexible hours and asynchronous work to balance work and life. - *Check out the full list of countries we currently hire from here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?tab=t.0#heading=h.s4l5faueua5w, but note that we're only hiring in the Americas timezones for this role. - Remote work budget: €1,000 available each year or up to €2,000 from day 1 if you're buying a laptop! - Growth & development: Invest in yourself and your career with a 3.5% L&D budget and clear growth opportunities - Stimulating work environment: Tackle new challenges and work with innovative technology in a dynamic setting - Connect with your team: Join optional fun virtual socials, AMAs with team members and leadership, and regular fun chats. Build a strong sense of community! - TestGorilla community groups: Join peers to build community and boost opportunities for connection, advocacy, and professional development. - Parent/Caregiver support: We provide a caregiver-friendly work environment with paid 8-16 week parental leave and tailored return-to-work approaches - Work-life balance: Our unlimited and flexible time off policy empowers you to take the time you need to recharge and maintain your well-being INTERESTED? We believe in using our own product to ensure fair and objective hiring. If this role aligns with your skills and aspirations, we invite you to complete one of our very own assessments. This will give you a firsthand experience of our platform and help us get to know you better. We look forward to hearing from you! TestGorilla is committed to building a diverse and inclusive workplace. We believe that diverse teams are stronger teams, and we encourage applications from people of all backgrounds. We understand that some candidates may experience test anxiety, and we want to assure you that accommodations are available and can be requested prior to sitting our assessments. Your request will not negatively impact your application, as we do not factor this into our review process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Director, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it. You'll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You'll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You'll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them. You'll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn't, and able to explain the difference. If you're energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we'd like to hear from you. Key responsibilities Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows Partner with Order Management and AR operations as their quality partner, and help GTM, Deal Desk, Sales Operations, and Product understand what accurate and compliant looks like through clear published guidance that shortens the path to yes Review new processes, process changes, commercial models, and exceptions against policy and control requirements, with clear decision rights, service levels, and rationale that stay consistent across regions, entities, and channels Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end Own O2C policies, control ownership, and segregation of duties Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved Create reusable, pre-approved process patterns and guardrails so teams can move quickly without a bespoke review every time, harmonizing globally and localizing only where statute requires Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection Minimum qualifications Hands-on experience designing and running audit, quality, or revenue assurance programs within order-to-cash, billing operations, or quote-to-cash Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials) Proficiency with SQL or similar tools for analyzing and testing transactional data Experience using automation or AI for monitoring, testing, or reporting Preferred qualifications 10+ years of progressive experience in revenue operations, billing operations, revenue assurance, finance operations, or internal controls within order-to-cash at a public company A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment A degree in Accounting, Finance, Business, Engineering, or a related field CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification Experience building or scaling a SOX program, including readiness for public-company reporting requirements Experience with global, multi-entity operations, including statutory invoicing and tax considerations Experience serving both B2C and B2B customers, especially with consumption-based and subscription billing models through to collections Experience working with go-to-market, deal desk, and revenue operations organizations Strong cross-functional influence and clear communication about issues and decisions Understanding of AI industry business models and enterprise customer needs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - Colombia About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Want to know what you’ll be doing? You will work on our data infrastructure platform which supports the B2 Object Storage and Computer Backup products, responsible for the data infrastructure that everything runs on. You will help improve automation, observability and stability for durability, increase throughput, and drive architectural changes to support the long term requirements of our service. Responsibilities: Design and build automation frameworks that let other engineers provision, configure, and repair fleet infrastructure themselves Design and extend the observability stack (metrics, logs, traces, alerts) that tells us whether the storage platform is healthy and where it is degrading Build reporting, dashboards, and visualizations that give engineering and leadership a clear view into fleet health, capacity, and operational trends Build system health tooling that detects failing hardware, drifting configuration, and capacity risk before they turn into incidents Lead technical design discussions and produce clear design documents for changes that span multiple services and teams Drive the implementation of large features from design through rollout, including the migration and backfill work that real systems require Partner with the on-call rotation to turn recurring toil and incident findings into automation and better signal The Right Fit: 7+ years of backend development in an enterprise environment, working in an object-oriented or systems language (Java, Rust, C++, C#, Go, or similar) Experience designing automation frameworks or platforms that other engineers build on Experience building large scale software systems running on thousands of servers Experience building automation or tooling that other engineers depend on daily, whether internal platform services, operational tooling, or a deployment and configuration pipeline Working knowledge of an observability stack (Prometheus, Grafana, OpenTelemetry, ELK, Datadog, or equivalent), including instrumenting a service and designing alerts people trust Strong Linux fundamentals and comfort operating in a bare-metal or hybrid environment rather than a fully managed cloud Professional experience incorporating AI-assisted development tools (Gemini, Cursor, Claude Code, or similar) Comfortable with all aspects of the software development lifecycle, including design, implementation, testing, and rollout Exhibits curiosity and seeks to understand before offering solutions Communicates proactively in a remote environment by keeping the team informed, surfacing blockers early, and moving work forward Applies analytical thinking to ambiguous problems Bonus points for: Proficiency in Java Experience with configuration management or infrastructure-as-code tooling (Ansible, Salt, Puppet, Chef, Terraform) Experience designing SLOs and error budgets, or reducing alert noise on a fleet running at scale Experience with time-series databases and query languages such as PromQL Experience automating hardware lifecycle work: burn-in, failure detection, drive replacement, decommissioning Experience with discovering and implementing performance improvements, including CPU and IO Understanding of Linux internals and file systems Familiarity with hard drive performance and optimization, including host-managed SMR Experience building and interpreting models, dashboards, or reports At this point, we hope you're feeling excited about the job description you're reading. Learning, developing, and growing are key parts of our culture, so even if you don't meet every requirement, we still encourage you to apply. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY: We're now growing our consumer business and building new services for self-employed people and freelancers. To support that, we're looking for an Influencer Marketing Manager to run creator campaigns for Taxfix and Steuerbot. Most people find taxes stressful. Hearing from a creator they already trust that they got money back in one evening is more convincing than an ad. That's why creators are a big part of our marketing. We run the channel in-house with a significant yearly budget and use it both to bring in new users and to build trust in our brands. The hard part is doing both at once: getting new users at a good cost while keeping the content credible for the creator's audience. This role reports to the Influencer Marketing Lead and focuses at first on our two German brands, Taxfix and Steuerbot. WHAT YOU'LL DO - Run and scale creator campaigns from start to finish: find creators, reach out, negotiate, brief them, review content, take it live and report on results. - Negotiate deals that make sense for both sides. Push back on first prices and agree on terms like view guarantees or performance-based pay. - Build long-term relationships with creators and their managements, and decide how we work with them across both brands. - Run frequent hypothesis-driven experiments. We put strong emphasis on asking the right questions, good experiment design, and generating actionable data and interpretations. You own large parts of creator and influencer experimentation. - You continue to expand our creator database and context layer, allowing you to work very data and insight driven, and enabling AI agents to work alongside or for you equipped with the right data and context. - Automate the repetitive parts of your job with n8n, Claude Cowork/Code and GitHub, so research, scoring and reporting run on their own and you can spend your time on higher value work with creators, negotiations, content and strategy. - Seasonal campaign planning across multiple platforms, formats and creator sizes. WHAT YOU'LL BRING - 2–4 years of hands-on experience running influencer campaigns on TikTok, Instagram and YouTube, at a brand or an agency. - You’re highly curious about the creator economy and thrive on turning complex, ambiguous challenges into practical solutions in a high-agency role. - You’re an effective and confident negotiator who always strives to get the best deal and who’s not shy to walk away from a deal. - You’re highly analytical and very comfortable with processing and critically interpreting data sets, with an eye for detail. - You are on the path of becoming an AI builder with first basic to advanced workflow automations or other agentic solutions under your belt with measurable impact. - You’re experienced in general in how to work with LLMs and agentic solutions effectively, including when to critically review their outputs. - Strong communicator and relationship builder with both, internal stakeholders and external managements and creators. You’re fluent in German and English. If you come from performance marketing, growth, affiliate or creator operations and have worked with creators, apply anyway. We'd like to hear from you. WHAT YOUR FIRST 90 DAYS LOOK LIKE - A creator pipeline where you can explain why each creator is on it. - Working relationships with the creators and managements you book. - Two structured experiments, with read-outs that say what failed as clearly as what worked. - One recurring task automated, with the hours it saves measured. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: 1. Multimodal and embodied data 2. Transformer-based models and how data impacts robot policies 3. Rigorous offline and real-world evaluation of policies 4. Deployment of models in the data ecosystem This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them. MANDATE Turn Humanoid data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: - Which model families should we train, adapt, or evaluate? - Which data produces meaningful gains in robot performance? - What coverage, sensors, annotations, and quality controls do the models require? - Which offline measurements predict real-world robot performance? - Where should we adapt existing open models rather than train from scratch? - What should Humanoid build itself, and what should it reuse or obtain through partners?   WHAT YOU'LL DO - Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. - Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code. - Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection. - Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision. - Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems. - Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount. - Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.   WHAT WE'RE LOOKING FOR - Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement. - Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation. - Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost. - Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is. - Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work. - Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems. - Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years. NICE-TO-HAVE: - Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems. - Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Milan, Italy 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Italy. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Italy. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Italy A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Italian public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Italian and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Italian public sector. Il ruolo In qualità di Enterprise Account Executive in Anthropic, entrerai a far parte del team fondatore impegnato in prima linea nel portare la nostra API di produttività basata su IA all'avanguardia e le nostre soluzioni SaaS alle organizzazioni del settore pubblico in Italia. Promuoverai l'adozione di un'IA di frontiera e sicura concludendo accordi strategici con ministeri e amministrazioni centrali, amministrazioni regionali e locali ed enti pubblici. Metterai la tua esperienza di vendita consulenziale nel settore pubblico al servizio della crescita dei ricavi, diventando un partner di fiducia per gli interlocutori del settore e aiutandoli a integrare e adottare l'IA e a scoprirne tutte le potenzialità nei servizi ai cittadini, nell'amministrazione e nella ricerca. In collaborazione con i team GTM, Prodotto e Marketing, perfezionerai costantemente la nostra proposta di valore, la nostra metodologia di vendita e il nostro posizionamento, perché siano rilevanti per chi prende le decisioni nel settore pubblico. Il profilo ideale ha la passione per lo sviluppo di nuovi segmenti di mercato, per l'individuazione delle opportunità ad alto potenziale e per l'attuazione delle strategie necessarie a coglierle. Favorendo la diffusione dei prodotti emergenti di Anthropic, aiuterai le istituzioni pubbliche ad acquisire nuove capacità, contribuendo al tempo stesso allo sviluppo etico dell'IA. Responsabilità: Acquisire nuovi clienti e generare ricavi per Anthropic nel settore pubblico in Italia. Orientarti all'interno di istituzioni pubbliche complesse per raggiungere le figure decisionali chiave, far conoscere i nostri servizi e aiutarle ad avere successo con Anthropic. Sarai responsabile dell'intero ciclo di vendita, dal primo contatto alla chiusura. Definire e attuare strategie di vendita innovative, adatte ai cicli degli appalti pubblici e ai processi di bilancio, comprese gare, accordi quadro e canali di vendita tramite partner o rivenditori, per raggiungere e superare gli obiettivi di fatturato. Analizzare lo scenario, le tendenze e le dinamiche del settore pubblico per tradurre i piani strategici in attività e campagne commerciali mirate. Guidare l'espansione sul mercato individuando nuovi casi d'uso all'interno di ministeri, enti e uffici amministrativi. Collaborare in modo trasversale per differenziare la nostra offerta per le applicazioni del settore pubblico. Muoverti in ecosistemi complessi di interlocutori del settore pubblico (dirigenti apicali, responsabili della trasformazione digitale e della tecnologia, direzioni IT e uffici acquisti) per costruire consenso. Guidare il confronto con i clienti su sovranità dei dati, sicurezza e conformità normativa, lavorando con i team Sicurezza, Legale e Prodotto sul modo in cui rispondiamo a questi requisiti. Contribuire alla roadmap e alle funzionalità di prodotto raccogliendo il feedback di chi utilizza le nostre soluzioni nel settore pubblico e portandone all'interno le esigenze. Fornire indicazioni che rafforzino la nostra proposta di valore per le istituzioni pubbliche. Perfezionare costantemente la metodologia di vendita per il settore pubblico, integrando quanto appreso in playbook, modelli e buone pratiche. Individuare miglioramenti di processo che ottimizzino la produttività e la coerenza commerciale. Potresti essere la persona giusta se hai: Almeno 7 anni di esperienza nella vendita B2B (SaaS, soluzioni API o tecnologie emergenti), compresa la vendita a organizzazioni del settore pubblico in Italia Una comprovata esperienza nella gestione di cicli di vendita complessi all'interno di istituzioni pubbliche e nella conclusione di accordi strategici, fondata sulla comprensione sia dei requisiti tecnici sia dei casi d'uso del settore pubblico Una padronanza concreta degli appalti pubblici italiani: gare, accordi quadro, centrali di committenza e canali di vendita tramite partner o rivenditori Una capacità dimostrata di muoverti nelle strutture organizzative del settore pubblico, costruendo consenso tra interlocutori diversi, tra cui dirigenti apicali, responsabili della trasformazione digitale e della tecnologia e direzioni IT Un'esperienza comprovata nel superare gli obiettivi di fatturato grazie a una gestione efficace di una pipeline e di un processo di vendita in continua evoluzione Eccellenti capacità di comunicazione e la sicurezza necessaria per presentare a interlocutori diversi del settore pubblico, dai team tecnici ai dirigenti apicali Una conoscenza approfondita dei cicli di acquisto, dei processi decisionali e delle principali criticità del settore pubblico, compresi i requisiti di sovranità dei dati, sicurezza e conformità normativa Un approccio strategico e analitico al mercato del settore pubblico, unito a un'esecuzione tattica e creativa per cogliere le opportunità Padronanza dell'italiano e dell'inglese a livello bilingue, con un'eccellente comunicazione scritta e orale in entrambe le lingue Passione per i sistemi di IA avanzati e le loro applicazioni, o esperienza diretta con essi. Ti sta a cuore che i sistemi di IA di frontiera siano sviluppati in modo sicuro ed etico per l'uso da parte delle istituzioni pubbliche. Costituisce titolo preferenziale: familiarità con i quadri di sicurezza e conformità normativa applicabili agli acquisti di tecnologia nel settore pubblico italiano. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Madrid, Spain 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Spain. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Spain. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Spain A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Spanish public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Spanish and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Spanish public sector. Acerca del puesto Como Enterprise Account Executive en Anthropic, te incorporarás al equipo fundacional que está a la vanguardia de la introducción de nuestra API de productividad con IA de última generación y de nuestras soluciones SaaS en las organizaciones del sector público en España. Impulsarás la adopción de una IA de vanguardia y segura mediante acuerdos estratégicos con ministerios de la Administración General del Estado, administraciones autonómicas y locales y organismos públicos. Pondrás tu experiencia en venta consultiva en el sector público al servicio del crecimiento de los ingresos y te convertirás en un socio de confianza para los interlocutores del sector, ayudándoles a integrar y desplegar la IA y a descubrir todo su potencial en los servicios a la ciudadanía, la administración y la investigación. En colaboración con los equipos de GTM, Producto y Marketing, perfeccionarás de forma continua nuestra propuesta de valor, nuestra metodología de ventas y nuestro posicionamiento para que conecten con quienes toman las decisiones en el sector público. El perfil ideal siente pasión por desarrollar nuevos segmentos de mercado, identificar oportunidades de alto potencial y ejecutar las estrategias que permiten aprovecharlas. Al impulsar el despliegue de los productos emergentes de Anthropic, ayudarás a las instituciones públicas a adquirir nuevas capacidades y contribuirás al desarrollo ético de la IA. Responsabilidades: Conseguir nuevos clientes y generar ingresos para Anthropic en el sector público en España. Orientarte en instituciones públicas complejas para llegar a las personas clave en la toma de decisiones, darles a conocer nuestros servicios y ayudarles a tener éxito con Anthropic. Serás responsable de todo el ciclo de venta, desde el primer contacto hasta el cierre. Diseñar y ejecutar estrategias comerciales innovadoras adaptadas a los ciclos de contratación pública y a los procesos presupuestarios, incluidas las licitaciones, los acuerdos marco y las vías de venta a través de partners o revendedores, para alcanzar y superar los objetivos de ingresos. Analizar el panorama, las tendencias y la dinámica del sector público para convertir los planes estratégicos en acciones y campañas comerciales específicas. Liderar la expansión en el mercado identificando nuevos casos de uso en ministerios, organismos y departamentos administrativos. Colaborar de forma transversal para diferenciar nuestra oferta en las aplicaciones del sector público. Desenvolverte en ecosistemas complejos de interlocutores del sector público (altos cargos, responsables de transformación digital y tecnología, departamentos de TI y órganos de contratación) para generar consenso. Liderar las conversaciones con los clientes sobre soberanía del dato, seguridad y cumplimiento normativo, trabajando con los equipos de Seguridad, Legal y Producto en la forma en que respondemos a esos requisitos. Contribuir a la hoja de ruta y a las funcionalidades del producto recogiendo las opiniones de las personas usuarias del sector público y trasladando sus necesidades. Aportar ideas que refuercen nuestra propuesta de valor para las instituciones públicas. Perfeccionar de forma continua la metodología de ventas para el sector público incorporando lo aprendido a playbooks, plantillas y buenas prácticas. Identificar mejoras de proceso que optimicen la productividad y la coherencia comerciales. Este puesto puede encajar contigo si tienes: Al menos 7 años de experiencia en ventas B2B (SaaS, soluciones API o tecnologías emergentes), incluida la venta a organizaciones del sector público en España Una trayectoria demostrada en la gestión de ciclos de venta complejos en instituciones públicas y en el cierre de acuerdos estratégicos, basada en la comprensión tanto de los requisitos técnicos como de los casos de uso del sector público Un dominio práctico de la contratación pública española: licitaciones, acuerdos marco, centrales de compras y vías de venta a través de partners o revendedores Capacidad demostrada para desenvolverte en las estructuras organizativas del sector público y generar consenso entre interlocutores diversos, entre ellos altos cargos, responsables de transformación digital y tecnología y departamentos de TI Experiencia contrastada superando objetivos de ingresos gracias a una gestión eficaz de un pipeline y un proceso de venta en constante evolución Excelentes habilidades de comunicación y soltura para presentar ante públicos diversos del sector público, desde equipos técnicos hasta altos cargos Un conocimiento profundo de los ciclos de compra, los procesos de decisión y los principales retos del sector público, incluidos los requisitos de soberanía del dato, seguridad y cumplimiento normativo Un enfoque estratégico y analítico del mercado del sector público, combinado con una ejecución táctica y creativa para aprovechar las oportunidades Nivel bilingüe de español e inglés, con una excelente comunicación oral y escrita en ambos idiomas Pasión por los sistemas avanzados de IA y sus aplicaciones, o experiencia con ellos. Te importa de verdad que los sistemas de IA de vanguardia se desarrollen de forma segura y ética para su uso por parte de las instituciones públicas. Se valorará: familiaridad con los marcos de seguridad y cumplimiento normativo aplicables a la contratación de tecnología en el sector público español. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Remote Joining Coder as a Sr. Technical Recruiter is an opportunity to be a part of a high-impact, progressive, and collaborative team. We are trusted to represent Coder externally and guide all levels of the business in hiring decisions. You partner closely with hiring teams and candidates from the first conversation through handoff to the onboarding team. You balance speed and empathy, providing a tailored and consistent experience for both candidates and internal team members. What you’ll do here - Own full-cycle recruiting for technical and non-technical roles, from intake through offer, while keeping candidate experience top of mind - Source and engage candidates across multiple channels with creative, eye-catching outreach - Manage hiring teams end-to-end, providing proactive communication and transparent feedback - Track pipeline health, identify bottlenecks/challenges, and adjust strategy using data - Maintain up-to-date documentation in Ashby, Notion, etc. to keep hiring teams aligned What we’re looking for - 4+ years of experience recruiting for technical roles, with emphasis on Engineering, Product, and GTM - Comfort discussing technical fundamentals, role expectations, and pitching Coder to candidates - Strong partnership skills with hiring managers and cross‑functional teams - Clear written and verbal communication; direct, respectful, and timely - Organized approach to pipelines, prioritization, and competing deadlines - Prior experience working in a startup environment and using Ashby ATS Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Substantial experience hiring for AI, developer tools, infrastructure, or open‑source teams - Prior experience scaling a high-growth company - Proactive approach to improving systems and processes for the team ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.