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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 Investor Relations team manages our relationships with shareholders, prospective investors, and the broader financial community, and helps educate investors on Anthropic's mission, strategy, and financial performance. As the Operations Lead for the team, you'll own the administrative and operational backbone that keeps IR running smoothly, from coordinating investor meetings and preparing the team for them to managing the vendors and logistics behind high-profile events and visits. You'll work directly with the Head of Investor Relations and the IR team, and cross-functionally with Finance leadership, Finance & Strategy, Capital Markets, Accounting, Corporate Legal, Communications, and Workplace, to make sure every investor touchpoint reflects well on Anthropic. Because the function is still being built, you will often be creating the process rather than following one. This role suits someone who is highly proactive, thrives on structure, anticipates needs before they arise, and enjoys being the person who makes complex logistics look effortless. Key responsibilities Schedule and coordinate investor calls, meetings, and briefings, managing calendars across multiple stakeholders and time zones, and helping the team prioritize when investor demand exceeds our capacity Partner with internal teams and on-site staff to plan and execute investor events, visits, and other in-person engagements Prepare the team and executives for investor conversations and capturing follow-ups afterward Own vendor relationships for IR-related services, from sourcing through ongoing management of scope, budget, and performance Help the team set agendas and priorities, tracking deliverables and following up to ensure commitments are met on time Maintain and organize IR records, the investor contact database and interaction history, and shared materials so information stays easy to find and current, and help select and run the tools the team uses to track shareholder engagement Serve as a primary point of contact for internal stakeholders and external partners on logistical and administrative questions Build and document the recurring processes a growing IR function needs, from meeting request intake through post-meeting follow-up, and keep improving how the team operates day to day Partner with Corporate Legal and Communications on the handling and review of investor-facing materials, so information moves through the right checks Support ad hoc projects as investor relations priorities evolve Minimum qualifications Experience coordinating complex calendars, meetings, or events across multiple stakeholders Experience managing vendor relationships, including scope, budget, and performance tracking Strong organizational skills, with the ability to juggle multiple priorities and deadlines Excellent written and verbal communication skills Demonstrated judgment handling sensitive, confidential, and market-sensitive information with discretion Comfort operating autonomously in a newly formed team, including building processes and systems that do not exist yet Preferred qualifications Experience supporting an investor relations, capital markets, or finance leadership function, ideally in a company that was growing quickly Familiarity with the needs of external-facing, high-stakes engagements Experience operating in a fast-paced, high-growth company environment A proactive, detail-oriented approach to identifying and solving problems before they become issues Familiarity with investor relations or CRM tools for tracking shareholder engagement, and comfort using AI tools to work faster Curiosity about financial markets, technology, and AI, and interest in how a research-driven company explains itself to investors The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $265,000 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.

Workplace: none We are looking for a highly motivated Transportation Sales Executive to help build Spotter's direct-shipper freight pipeline. This is a hands-on sales role focused on identifying freight opportunities, connecting with shippers and logistics decision-makers, and helping get Spotter's 600-truck fleet into new freight opportunities. You will work closely with our sales, operations, and pricing teams to identify qualified opportunities and turn them into lanes, bids, pilots, and recurring freight. Initial Market Focus This hire will initially focus on local work around Joliet, IL and long-haul freight leaving the Joliet, IL area. What You'll Do Research and identify potential direct shippers with relevant freight volume. Build and maintain a pipeline of prospective shippers in the Joliet market. Reach out to transportation, logistics, and procurement contacts. Identify upcoming RFPs, mini-bids, pilots, and truckload opportunities . Help prospective shippers complete carrier onboarding and qualification processes. Introduce Spotter's 600-truck capacity to qualified freight opportunities. Follow up consistently with prospects and move opportunities toward a concrete next step. Work with operations and pricing to determine which lanes Spotter can service and price. Maintain accurate pipeline and account information in our CRM. Help develop direct-shipper relationships that can grow into recurring freight. What We're Looking For Previous experience in freight sales, transportation, logistics, brokerage, 3PL, or a related field is a plus. Strong communication and prospecting skills. Comfortable with outbound calls, email outreach, and LinkedIn prospecting. Understanding of FTL / truckload transportation is a plus. Ability to identify and qualify potential freight opportunities. Strong follow-up and organization skills. Comfortable using CRM systems and transportation technology. Self-motivated and comfortable working in a fast-paced environment. Willingness to learn direct-shipper sales and freight procurement . Experience with shipper RFPs, carrier onboarding, TMS platforms, digital freight platforms, or transportation procurement is a plus. What Success Looks Like Success in this role means consistently building a qualified pipeline of direct-shipper opportunities and moving prospects toward carrier onboarding, RFPs, bids, pilots, and awarded lanes. You will be measured primarily on qualified opportunities and tangible pipeline progress , rather than simply the number of calls or emails completed. Why Spotter Spotter operates a 600-truck asset base , giving you the opportunity to sell real transportation capacity and develop direct relationships with shippers. You'll have the opportunity to learn enterprise freight procurement, direct-shipper sales, and contract truckload , while growing into larger strategic accounts as you demonstrate results.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $230,000 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: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC 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 Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $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: Paris, France Workplace: Hybrid 🩺 Why Prévenir Prévenir is a new Occupational Health and Prevention Service (SPSTI) in the Île-de-France region. Our ambition is to rethink occupational health in order to improve its impact on employees’ lives and the experience of healthcare professionals, leveraging Alan’s technology. Our first medical centre has opened at 117 Quai de Valmy, 75010 Paris, and this is just the beginning! 👉 To learn more about what day-to-day life is like at Prévenir, click here https://prevenir.fr/carrieres. ⭐ The role, concretely Are you excited about building, structuring and scaling HR operations in a company that's just getting started? You will join Prévenir at a very early stage and help build the foundations of our People and administrative operations as the company scales. This role is particularly suited to someone who has already experienced a fast-growth environment, whether in a start-up, scale-up or during a 0-to-100 journey. We're in the early chapters: this isn't about running existing processes — it's about creating them from scratch so they hold up at much larger scale. The role brings a product mindset to People operations, where every key moment of the employee experience is carefully designed, with a constant focus on simplicity and automation. You'll work closely with Lucie, who makes the final calls depending on topic complexity and supports you as you grow into autonomy. Your time is split between: - Employee journey: onboarding, probation-period tracking, setting up and running performance reviews, feedback processes, and monitoring team engagement. - Documentation & operational efficiency: writing clear, user-centric documentation, spotting friction, simplifying or automating recurring processes. You leverage AI to multiply the impact of your work. - People admin: leave and absence management, payroll back-and-forth, contracting and employee administrative follow-up, onboarding formalities and affiliations (health/provident insurance, occupational health), GDPR compliance. - Operational finance: expense reports, preparing and sending accounting documents to Impulsa, preparing routine filings (including VAT). Over time, this person will take ownership of payroll management in coordination with our accounting partner, with training and support. 👤 The profile we're looking for Essential: - At least 5-6 years of experience in People Ops, very hands-on, and comfortable with admin topics (e.g., managing the relationship with an accounting firm) - Previous experience in a fast-scaling company, start-up or scale-up, ideally having helped build or scale People processes during a period of significant growth. - Business curiosity: genuinely interested in what's happening on the business side, and able to connect your work to where the company is heading - Versatility across People and Corporate/Admin topics, with a strong People focus - Rigour and rock-solid attention to detail - Autonomy: you don't wait to be told there's a problem — you spot it, bring a solution, and know when to loop someone in on the tricky ones - Demonstrated interest in automating and improving recurring processes, and genuine enthusiasm for AI - Comfort interacting with a wide range of stakeholders, including senior profiles when needed - Fluent English (written and spoken) to interact with the Alan team - Based in Paris or the Île-de-France region, with the ability to work onsite regularly, ideally three days per week or more. Ideally: - Experience in MedTech or in a start-up / scale-up - Sensitivity to the medical world (professional or personal) - Note: a 100% Occupational Health background may not be the right cultural fit, but worth testing 🙏 What we offer - Location: 117 Quai de Valmy, Paris 10th, in a brand-new centre designed to support high-quality practice - Base salary: between €53,000 and €61,000 gross per year, depending on experience and level - Profit-sharing scheme: 10%, in line with Prévenir’s framework - Benefits: daily transport costs covered, company restaurant, RTT days and regular team events

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: Maintain and improve the encoding libraries used by engineers and researchers across Anthropic Run experiments to determine the optimal way to feed structured data into Claude without confusing it Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments Have experience carrying out complex refactors in large codebases Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work Strong candidates may also have experience with: Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization Python and/or Rust Reinforcement learning or model training infrastructure Representative projects: Working with a research team to ship a new multimodal data type (audio, video, etc) to production Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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.

Workplace: none We are looking for a modern, highly proactive enterprise freight sales leader to build our direct-shipper contract pipeline from the ground up. This is not a traditional freight sales role focused on maintaining an existing book of business. Your mission is to get Spotter's 600-truck fleet in front of high-volume enterprise shippers and into their RFPs, mini-bids, pilots, and contract freight programs. You will identify high-value shippers, reach transportation procurement and logistics decision-makers, navigate carrier onboarding and qualification processes, and turn those relationships into real freight opportunities. Initial Market Focus This role will initially focus on local work around Joliet, IL and long-haul freight originating from the Joliet area. What You'll Own Identify and map enterprise shippers with meaningful freight volume in the Joliet market. Build relationships with transportation procurement, logistics, and supply chain decision-makers. Identify upcoming RFPs, mini-bids, pilots, and contract truckload opportunities . Get Spotter through shipper and enterprise-broker carrier onboarding and qualification processes . Position our 600-truck asset base for high-volume freight opportunities. Build a qualified pipeline with clear next steps, stakeholders, timelines, and freight volume. Work with operations and pricing to turn opportunities into actionable lanes and awards. Develop direct-shipper relationships that can grow into recurring contract freight. 30-Day Trial Targets This position begins with a 30-day trial period with clear, measurable expectations. By Day 30: 40 Joliet-area enterprise shippers fully mapped 10 conversations with transportation procurement / logistics decision-makers 6 qualified direct-shipper opportunities with a concrete next step 3 new vendor onboarding / provider qualification processes initiated 3 shippers agreeing to include Spotter in an upcoming RFP, mini-bid, or pilot 2 live direct-shipper RFP / mini-bid / pilot opportunities received 200+ lanes of actual Joliet-origin/local freight opportunities Spotter can price 1 pilot or lane award $10M+ annualized direct-shipper freight represented by accessible Joliet-area opportunities These are outcome-based targets , not activity quotas. Success in this role is measured by creating real enterprise freight opportunities and moving them toward bids, pilots, and awarded lanes. What We're Looking For Experience in enterprise freight sales, transportation procurement, contract truckload, brokerage, 3PL, or strategic accounts Strong understanding of how enterprise transportation procurement works Proven ability to reach senior logistics and procurement decision-makers Experience with shipper RFPs, mini-bids, carrier onboarding, or contract freight Ability to build a pipeline from scratch rather than rely on an inherited book of business Strong commercial judgment and ability to qualify opportunities based on actual freight volume and fit Comfortable working with data, transportation technology, CRM systems, and digital freight platforms Highly proactive, self-directed, and comfortable being measured by outcomes Why Spotter Spotter operates a 600-truck asset base , giving you the capacity and operational foundation to pursue meaningful enterprise freight opportunities. Your role is to connect that capacity with the right shippers, procurement teams, and contract freight programs — and turn those opportunities into lanes, pilots, and long-term strategic accounts.

Location: Boston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Washington State; Colorado; New Jersey; Georgia; Texas Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to turn n8n’s most strategic enterprise deployments into production-ready success stories by embedding on-site, solving real customer problems, and building reusable automation patterns that shape our product. To do so, you’ll work directly with customers, Deployment Strategists, and Product to make every engagement high-impact, scalable, and repeatable: Drive high-impact enterprise deployments Embed on-site with enterprise customers for focused 5-day deployment engagements, arriving with a hypothesis and leaving with production workflows in place. Partner closely with Deployment Strategists to align technical execution with customer priorities, stakeholder needs, and adoption goals. Build trust with technical and non-technical stakeholders by turning complex customer environments into clear, actionable solutions. Build production-grade automation solutions Design and build workflows, integrations, and custom nodes tailored to each customer’s environment and scalable beyond the initial use case. Extend existing n8n nodes or add missing functionality where needed to unlock high-value enterprise use cases. Translate ambiguous business problems into concrete automation designs that prioritize real customer value over technical complexity. Work across industries and tech stacks, getting productive quickly in new environments. Bridge customer needs with Product and Engineering Identify when a bespoke customer requirement should become a reusable node improvement, product feature, or platform capability. Create a clear feedback loop with Product and Engineering by documenting technical gaps, customer context, implementation learnings, and prioritization signals. Contribute reusable learnings, workflows, custom nodes, and integration patterns to an internal playbook library. Turn customer learnings into product and playbooks Identify when a bespoke customer requirement should become a core product feature and document it clearly for Product. Contribute reusable learnings, workflows, and patterns to an internal playbook library. Help ensure every engagement makes the next one faster, stronger, and more productized. Keep engagements focused and scalable Deliver time-boxed customer engagements with clear outcomes, rather than open-ended professional services work. Build solutions that customers can own and operate themselves. Know when to build, when to simplify, and when to push back to avoid unnecessary complexity. REQUIREMENTS Must-haves 🧑‍💻 Strong engineering background: You have solid full-stack or backend engineering experience and have built integrations, APIs, or automation pipelines in production environments. 🧩 Integration-building expertise: You can create custom nodes, extend existing integrations, and work confidently with APIs, authentication patterns, data models, and event-driven systems. 🔧 Product-minded technical execution: You can distinguish between a one-off customer workaround, a reusable node improvement, and a product feature worth escalating. 🤝 Customer-facing confidence: You’re comfortable working directly in customer environments and can build trust with engineers, operators, and non-technical stakeholders. 🗺️ Solution design skills: You can take a messy operational problem and turn it into a clean, practical technical design. ⚖️ Strong technical judgment: You know when to build, when to push back, and how to avoid gold-plating solutions that should stay simple. ✈️ Willingness to travel: You’re open to travelling roughly 30-50% of the time for on-site engagements. ⚡ Speed to productive: You can quickly understand new industries, tech stacks, and customer environments without needing everything to be neatly defined. Nice-to-haves 🔁 Workflow automation experience: You have familiarity with n8n or similar workflow automation tools. 🏢 Enterprise deployment experience: You’ve worked with strategic enterprise accounts in complex technical environments. 🧱 Node or connector development: You’ve built custom nodes, connectors, plugins, SDKs, or reusable integration frameworks. 🚀 Forward deployed experience: You’ve worked in a forward deployed, solutions engineering, or similar role at a product-led technical organization. 📣 Product feedback experience: You’ve helped turn customer learnings into clear product feedback, roadmap input, or engineering specifications. Why join us? At n8n, you’ll be the founding Forward Deployed Engineer, helping define how we turn our largest enterprise deployments into long-term, referenceable success stories. Your work won’t sit in a demo environment — you’ll build production workflows with real users, influence our product roadmap, and create the playbooks that shape how this function scales. You’ll join one of Europe’s fastest-growing startups at a moment of huge momentum, working with a remote-first team that values autonomy, speed, experimentation, and direct customer impact. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Dublin Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building a best-in-class go-to-market engine, and we're looking for a GTM Systems Administrator to join the GTM Systems team and help scale the systems that power both our pipeline and our customer experience. You'll take on a variety of projects across the full GTM lifecycle, from how we source, enrich, and route leads at the top of the funnel to how we support and engage customers through Zendesk and our Customer Success platforms. This is not a traditional RevOps or Salesforce admin role: we expect this person to work AI-first, using AI tools and agents to build, automate, and maintain systems that would traditionally require engineering support or manual admin work. Reporting to the Head of GTM Systems, you'll partner closely with Sales, Marketing, Support, and Customer Success to translate business needs into scalable, reliable systems that directly drive revenue and retention outcomes. WHAT YOU'LL DO - Work across a variety of projects on the GTM Systems team, with some sprints focused on top-of-funnel growth and others on support and customer success tooling, flexing to where the business needs you most. - Design and improve top-of-funnel systems including lead sourcing, enrichment, scoring, and routing, building enrichment workflows in Clay and across data providers (ZoomInfo, Cognism, Apollo, Clearbit, etc.) to power inbound and outbound pipeline. - Configure and optimize Zendesk as Harvey's primary support platform (ticket routing, triggers, automations, macros, SLA policies, agent workspace) and support adjacent CS platforms like Catalyst. - Contribute to Salesforce configuration across the funnel, including lead routing, scoring, lifecycle stages, and automation (Flows, validation rules, custom objects), and how data flows across Salesforce, marketing automation, support, and enrichment tools. - Use AI as a default working method: build and maintain AI agents, automations, and workflows (AI triage, copilots, agent-based enrichment, LLM-powered data quality checks) to eliminate manual admin work and extend what the systems team can ship without engineering support. - Integrate GTM and CS tools with Harvey's broader ecosystem (CRM, product data, internal tools, communication platforms) to ensure a unified view of the customer, and build reporting and dashboards that provide visibility into pipeline conversion, support performance, and customer health. - Maintain high data quality and compliance through deduplication, normalization, enrichment governance, and consent/opt-out handling, and document system architecture, workflows, and processes so everything scales as the company grows. WHAT YOU HAVE - 4-8+ years of experience in GTM Systems, RevOps, Growth Ops, Support Ops, or similar roles. - Strong proficiency in Salesforce (data modeling, Flows, lead routing, account hierarchy, reporting) plus hands-on experience administering Zendesk (routing, automations, triggers, SLA policies), or deep expertise in one with proven ability to ramp fast on the other. - Hands-on experience with Clay and at least one major enrichment/data provider (ZoomInfo, Cognism, Apollo, Clearbit, etc.), and experience with marketing automation platforms (Marketo, HubSpot, or similar). - Demonstrated AI fluency: you already use AI tools (Claude, ChatGPT, Clay AI, Zendesk AI, or similar) to build workflows, automate admin tasks, draft configurations, and troubleshoot, and you can point to concrete things you've shipped this way. - Strong systems thinking, with the ability to design and debug end-to-end data flows across tools, spanning both reactive support workflows and proactive growth motions. - A collaborative, team-first working style: comfortable operating in a pod, picking up varied projects, and working cross-functionally with Sales, Marketing, Support, Customer Success, and Operations. Highly organized and documentation-oriented, with a focus on scalable, maintainable systems. BONUS - Experience with Customer Success platforms (Gainsight, Catalyst) or Zendesk certification(s). - Experience building integrations using APIs, webhooks, or iPaaS tools (Workato, Zapier, MuleSoft), or integrating GTM systems with data warehouses (Snowflake, BigQuery). - Experience building or deploying AI agents in production (e.g., agentic prospecting, AI ticket triage, health-score automation) - Working knowledge of SQL and/or scripting (Python, JavaScript) for data workflows. - Background in high-growth or early-stage environments where systems are built from the ground up. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SH1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York City, NY; 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 We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Paris, France 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. ⭐️ THE USER RESEARCHER ROLE ⭐️ At Alan, research is not a checkpoint. It's a compass. Our User Research team sits at the intersection of product, design, and engineering, making sure every decision is grounded in what our members actually need, feel, and experience. As a User Researcher at Alan, you will gather and prioritize the most important questions from across the company, and design the right research to answer them. That means running interviews, diary studies, surveys, and usability sessions throughout the full product cycle, not just at the end. You'll then turn those findings into insights that are clear, compelling, and genuinely useful to the teams who need them. You'll work hand in hand with Product Managers, Designers, and Engineers, and collaborate closely with our analytics and data science teams to tell a complete story about our product. You'll also help grow research culture across Alan, sharing your craft and mentoring teammates along the way. At Alan, great research drives great product. If you love figuring out what people truly need and translating that into decisions that matter, this role is for you. ⭐️ IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT ⭐️ You may be a great fit at Alan if you have: - 4+ years of experience as a product/user researcher in a tech environment, with strong hands-on expertise in qualitative methods: interviews, diary studies, think-aloud usability testing, and direct observation - Solid quantitative research skills: you're comfortable with survey design, sampling, crosstabs, and core statistical concepts - Sharp critical thinking: you quickly identify what research is worth doing, scope it efficiently, and deliver insights that are focused and actionable - A strategic mindset: you know how to partner with product stakeholders, communicate the value of research, and tie your findings to concrete business impact - Compelling communication skills: you turn complex findings into clear narratives that resonate with any audience - Experience mentoring junior researchers or non-researchers, with the ability to give clear, actionable feedback that helps others grow - You're close to AI. Either you've built AI products, or you follow the space closely and have a clear view on where to leverage and how LLM systems behave in production. - You care about healthcare. Alan's mission has to genuinely matter to you. For us this is essential, not a nice-to-have. - English fluency, written and spoken - (As a plus) Fluency in French, Spanish, or another European language For this role, we hire within the D-E level range. 🌍 HOW WE WORK - Based in (or within commuting distance of) one of our hubs (Paris, Bordeaux, Marseille, Brussels, Madrid, or Barcelona), with the ability to work onsite twice per week. 🎯 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. You want to know more about Alan? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness Automate data quality checks and validation across all pipelines Analytics Engineering & Modeling Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company Minimum qualifications Are an expert in BigQuery including optimization and partitioning Have built dimensional models and understand slowly changing dimensions Are proficient in SQL, Python, and modern tools like dbt and Fivetran Have implemented data security and privacy controls in cloud warehouses Can translate HR concepts into scalable data models Communicate effectively with both technical and business stakeholders Preferred qualifications Have 5+ years in data engineering Familiarity with ATS platforms (Greenhouse, Lever) and their data structures Experience with building semantic layers for data agents Experience building data pipelines for survey data and text analytics Knowledge of graph databases or network analysis libraries Background in privacy-enhancing technologies or sensitive data handling Previous experience in high-growth technology companies or AI/ML organizations Familiarity with workforce planning and predictive analytics use cases 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: $285,000 — $380,000 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: Ukraine About us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Senior Manager, Business Operations & Client Success to join us as part of our team. About the role As a Senior Manager, Business Operations & Client Success, you will maintain an integrated view of Business Unit (BU) health and ensure operational, client, people, financial, and delivery signals are translated into clear priorities and actionable plans. Acting as the coordination and insight layer across the Business Unit, you will connect Delivery and Engineering leadership, Client stakeholders, HR, Talent Acquisition, Finance, and People Operations. This role reports directly to the Business Unit Managing Director / VP Delivery and focuses on high-value business insight, independent client sensing, and cross-functional execution. As a qualified expert You will Own and continuously develop the Business Unit performance management framework, consolidating financial, delivery, people, hiring, quality, client, and operational indicators into an integrated view of BU health. Investigate underlying causes, trends, and business implications beyond reporting metrics, translating observations into recommendations, corrective actions, and tracked resolutions. Own the BU-level Client Success and client health framework, developing mechanisms to measure sentiment (including NPS and qualitative/quantitative signals) through direct stakeholder conversations and interviews. Triangulate client feedback with Delivery, Engineering, People, and operational data to identify recurring themes, gaps, risks, and actionable improvements. Drive selected cross-functional strategic initiatives that lack a single owner (such as operating-model changes, AI adoption, capability transitions, and risk mitigation), taking them from ambiguous problems to measurable closure. Maintain operational governance across Financial Operations (budgeting, forecasting, compensation/rate exceptions), Hiring Operations (priorities and bottlenecks), People Operations, and Reporting Data accuracy. Provide BU leadership with an independent perspective on client and business health, complementing Delivery and Engineering leadership without replacing their ownership of client relationships. Ensure material business risks, key decisions, and operational roadblocks reach leadership early enough for effective action. We're looking for you if you have 5+ years of relevant experience in Business Operations, Client Success, Strategic Program Management, Delivery Operations, or a similar cross-functional role within IT or professional services. Experience working across multiple business functions, such as Delivery, Engineering, HR, Talent Acquisition, Finance, and People Operations. Experience with client health and success practices, including NPS/CSAT, client sentiment, or structured client health reviews. Hands-on experience with operational and financial management, including budgeting, forecasting, variance analysis, and invoicing oversight. Strong analytical skills and the ability to consolidate financial, delivery, people, client, and operational data into a clear view of Business Unit health. Ability to take ambiguous business problems, structure them into actionable initiatives, and drive execution across multiple stakeholders. Strong risk identification and problem-solving skills, with the ability to spot early warning signals and translate them into concrete actions. Experience providing operational governance through functional teams without becoming a bottleneck or taking over execution. Ability to influence senior stakeholders and drive cross-functional initiatives without formal authority. Strong business judgment and the ability to form an objective, data-informed perspective, ask the right questions, and challenge assumptions when needed. Strong communication and synthesis skills, with the ability to turn complex quantitative and qualitative information into concise insights and clear recommendations for leadership. A proactive and curious mindset, with a strong sense of ownership and follow-through. Practical experience using AI tools, automation, or similar technologies to improve productivity, operational efficiency, or analytics. Higher education degree in Business Administration, Management, Economics, Computer Science, or a related field. Fluent / Advanced English & Ukrainian communication skills. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Benefit from a flexible working schedule and create work and rest balance for yourself. Enjoy 20 business days of paid vacation for full-time, unlimited sick leave, 4 days of emergency leave, and more. Embrace the opportunity for personal and professional growth Take advantage of certification support, career paths and personal development plans, company-wide tech and cultural events. Elevate your skills with mentorship program, public speaking support, educational leave, access to corporate library, and more. Feel cared about Prioritize your well-being with a yearly budget for medical insurance/ abroad coverage/ travel insurance. Get compensation for sports, equipment, massage, and rehabilitation, along with access to the well-being program. Feel supported with corporate loan, tax and legal advisory and wedding and baby birth bonuses for important family events in your life. Interview steps Interview with Recruiter Intro Call with Hiring Manager Business & Functional Interview HRBP Interview Hiring Manager Interview Client Interview.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Design and implement developer marketing campaigns to drive API adoption and platform usage Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Preferred requirements Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products Experience in highly competitive markets requiring sharp differentiation A background in marketing AI/ML products or developer tools to enterprise buyers Experience working closely with Sales teams on strategic, technical deals Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Staff Security Engineer on Security Incident Response, you'll serve as a senior technical leader and builder for the team, helping shape both how we respond to incidents today and how our response capabilities evolve over time.This role is about advancing what the team is capable of, not just responding when something breaks. You'll design and build the AI-assisted systems that extend the team's reach, lead the response to the most complex incidents, and own programs that make the organization more prepared over time, from tabletop exercises and gamedays to the continued advancement of threat hunting and insider risk capabilities. You bring engineering depth, sound incident judgment, and the ability to plan, and deliver complex work against a longer-term maturity roadmap not just execute against a queue. This is a senior individual contributor role with organization-wide impact on how 1Password investigates, contains, and learns from security incidents. This role reports to the Manager, Security Incident Response. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant experience leading complex, high-severity security incidents across multiple environments, including serving as an incident commander or equivalent technical lead. - Experience designing and building AI-assisted or agentic automation for security operations (triage, investigation, containment), with sound judgment about where automation should and shouldn't hold decision authority. - Strong software engineering skills, and experience building production tooling, automation, or systems rather than only operating existing security platforms. - Experience owning a security program or capability roadmap end to end, including planning, sequencing, and delivering multi-quarter work. - Strong understanding of cloud-native, SaaS, and identity-driven attack techniques and response approaches. - Experience designing and running tabletop exercises, gamedays, or comparable readiness programs and translating findings into improvements.. - Strong written and verbal communication skills, including the ability to represent technical tradeoffs to senior leadership and cross-functional stakeholders. - Experience mentoring engineers or otherwise raising the technical and investigative capabilities of a team. How you'll work: - You look for opportunities to build systems that scale the team's capabilities rather than relying on repeated manual effort, and you're interested in thoughtfully applying AI and automation where they can improve security outcomes. - An experienced incident commander who brings structure to complex incidents, makes sound decisions with incomplete information, and helps teams move forward during high-pressure situations. - You're comfortable taking ownership of a capability from strategy through execution, including defining priorities, sequencing work, navigating dependencies, and delivering against a longer-term roadmap. - You can operate as a technical partner to leaders and cross-functional teams, independently representing technical priorities, risks, and tradeoffs. - You value continuous improvement and contribute to an environment where teams can examine incidents, decisions, and failures openly and turn what they learn into stronger systems and practices. What you can expect: - Serve as incident manager and technical escalation point for complex, high-severity events, bringing structure, sound judgement, and clear decision-making under pressure. - Design and build AI-assisted and automated systems that improve how quickly and consistently the team can triage, investigate, and contain incidents. - Establish appropriate safety controls, approval gates, auditability, and rollback mechanisms for automated and AI-assisted actions, ensuring high-impact decisions remain appropriately human-controlled. - Own the team's readiness programs, including tabletop exercises and incident gamedays, from scenario design and execution through debriefing and translating finishes into concrete (or measurable) improvements - Advance the team’s threat hunting and insider risk capabilities by identifying opportunities, defining priorities, and delivering roadmap work that improves investigative depth and coverage - Plan, sequence, and deliver multi-quarter initiatives that mature the team's capabilities, bringing project management discipline to work that doesn't fit neatly into a sprint. - Mentor and provide technical leadership to other engineers, strengthening engineering rigor and investigative judgement across the team. - Partner with Security Operations, Product Security, and Engineering teams to close gaps surfaced through investigations, hunting, and simulations. - Foster psychological safety and blameless learning across incident retrospectives, gamedays, and tabletop debriefs. - Extend strong incident response practices beyond the immediate team by building reusable systems, tooling, and operating patterns that strengthen response capabilities across areas such as PSIRT, Privacy, and Engineering. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Lomira, WI Construction Manager Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Lead the Development of World-Class Mission-Critical Infrastructure The successful delivery of hyperscale data centers begins long before the first structural steel is erected. It starts with transforming greenfield sites into fully developed mission-critical campuses through large-scale earthwork, utility installation, infrastructure development, logistics planning, and operational execution. Construction Managers play a critical role in leading these efforts, coordinating personnel, equipment, subcontractors, and resources across some of North America's largest and most complex infrastructure projects. This position is responsible for driving safe, efficient, and productive field operations while ensuring projects remain aligned with schedule, budget, quality, and customer expectations. About Michels Infrastructure Solutions Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a Super General Contractor (Super GC) model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution. By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost. MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects. Position Overview As a Construction Manager , you will lead field execution activities supporting some of North America's largest hyperscale data center and mission-critical infrastructure developments. During the early phases of project delivery, your primary focus will be on large-scale site development and infrastructure construction, including land clearing, mass earthwork, grading, retention systems, utility installation, access roads, logistics planning, temporary facilities, and power infrastructure readiness. You will provide leadership to Superintendents, General Foremen, Foremen, subcontractors, and craft personnel responsible for transforming greenfield sites into fully developed mission-critical campuses capable of supporting large-scale vertical construction and commissioning activities. This role serves as the operational bridge between project management and field execution, coordinating workforce planning, equipment utilization, material procurement, subcontractor performance, utility coordination, and construction sequencing across multiple disciplines. Success requires the ability to manage complex site-development operations while maintaining alignment with project schedules, customer expectations, and long-term campus development objectives. Construction Managers are expected to spend the majority of their time in the field, leading operations directly from active project sites and working closely with field leadership, craft personnel, subcontractors, utility providers, and customers. The ideal candidate brings a strong background in heavy civil construction, site development, utility infrastructure, industrial construction, power infrastructure, or large-scale EPC projects and understands how early infrastructure decisions impact the success of downstream construction and commissioning efforts. Key Responsibilities Lead field construction activities during the initial development of large-scale hyperscale and mission-critical campus projects. Direct land clearing, grubbing, mass grading, cut/fill operations, building pad development, retention systems, haul roads, and temporary infrastructure construction. Oversee installation of wet utility systems including storm sewer, sanitary sewer, water distribution, fire water loops, and associated infrastructure. Direct construction and coordination of dry utility systems including electrical ductbanks, telecommunications infrastructure, fiber pathways, and underground utility corridors. Coordinate activities between civil contractors, utility providers, power infrastructure teams, specialty subcontractors, and vertical construction groups. Manage workforce planning, equipment utilization, production targets, and resource allocation across multiple concurrent work fronts. Ensure utility, grading, drainage, and infrastructure installations are sequenced to support future building construction and commissioning requirements. Maintain strict compliance with safety standards, quality requirements, company procedures, and customer expectations. Monitor project progress, productivity, budget performance, and operational metrics while supporting profitability objectives. Support project teams in achieving schedule milestones across complex, fast-paced construction environments. What You'll Do Lead daily operations across major site-development and infrastructure packages supporting hyperscale campus construction. Manage field execution of land clearing, erosion control, mass excavation, imported fill placement, grading operations, retention pond construction, and site stabilization efforts. Coordinate installation of storm sewer, sanitary sewer, domestic water, fire water, electrical ductbanks, fiber infrastructure, telecommunications systems, and utility crossings. Support development and maintenance of construction logistics plans, access roads, trailer compounds, laydown yards, staging areas, and temporary facilities. Ensure utility corridors, site access routes, and infrastructure systems are constructed in a manner that supports future vertical construction and commissioning activities. Partner with Project Managers, Project Engineers, Project Controls personnel, Utility Managers, Logistics Managers, Operations Managers, and field leadership to ensure successful project execution. Coordinate large fleets of heavy equipment, earthmoving operations, utility crews, subcontractors, and self-perform construction resources. Assist project teams with utility conflicts, constructability reviews, site-development phasing plans, permitting considerations, and operational planning. Review production schedules, grading quantities, utility installation progress, labor productivity, and project performance metrics. Implement corrective actions when schedule, productivity, quality, safety, resource, or logistics challenges arise. Coordinate subcontractor activities and ensure contractual obligations, quality standards, and schedule commitments are achieved. Support material management, equipment planning, procurement coordination, and resource deployment efforts. Support energization planning, utility turnover milestones, commissioning readiness activities, and overall campus development objectives. Conduct field reviews, workforce planning meetings, safety observations, operational performance evaluations, and coordination meetings. Lead jobsite coordination meetings focused on site development, utility installation, infrastructure readiness, logistics planning, and operational execution. Promote continuous improvement initiatives aimed at enhancing safety, productivity, quality, and operational consistency. Leadership Responsibilities Provide direct leadership and mentorship to Superintendents, General Foremen, Foremen, and field personnel. Conduct on-the-job training and workforce development activities. Lead safety meetings, toolbox talks, and operational planning sessions. Hold team members accountable for safety performance, quality standards, productivity, and professional development. Foster a culture of accountability, teamwork, communication, and operational excellence. Support succession planning and leadership development efforts within field operations. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach. We provide exposure to every phase of project delivery, from greenfield site development and utility infrastructure through commissioning and turnover. We provide opportunities to lead long-term hyperscale data center developments from greenfield site development through commissioning while working alongside some of the industry's most experienced infrastructure and construction professionals. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. We offer opportunities for advancement into senior operations and executive construction leadership roles. Comprehensive Benefits Package Health Insurance Dental Insurance Life Insurance Flexible Spending Accounts (FSA) Health Savings Account (HSA) Short-Term Disability Insurance Long-Term Disability Insurance 401(k) Retirement Plan Legal Plan Identity Theft Protection and Monitoring Plan Benefits may vary based on position and location. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You want to lead large-scale infrastructure and construction operations that leave a lasting impact. You enjoy solving complex field execution, sequencing, and logistics challenges. You thrive in environments where accountability, collaboration, and safety drive success. You enjoy mentoring future construction leaders. You want your efforts noticed and your results to make a meaningful impact. You want the autonomy to make decisions while receiving the support needed to succeed. You want to work to make a difference. What It Takes High school diploma, GED, or equivalent and 5-7 years of relevant construction experience , or an equivalent combination of education and experience. OSHA 30 certification or equivalent safety training required. Fully qualified construction professional with demonstrated field leadership experience. Experience managing large-scale site development, heavy civil, utility, industrial, mission-critical, power, EPC, or hyperscale data center construction projects. Demonstrated experience overseeing mass earthwork, grading, underground utilities, infrastructure development, utility relocations, site logistics, power infrastructure, or related civil construction activities. Experience supervising Superintendents, General Foremen, Foremen, subcontractors, and field crews. Strong understanding of construction sequencing for greenfield developments, including earthwork operations, utility installation, access planning, equipment deployment, workforce management, and multi-discipline coordination. Experience leading large field organizations consisting of Superintendents, Foremen, subcontractors, equipment fleets, and self-perform construction crews. Experience reviewing production schedules, labor performance, work-in-progress reporting, daily field reports, grading quantities, utility production metrics, and project progress measurements. Ability to partner effectively with Project Managers, Project Engineers, Estimators, Procurement teams, QA/QC personnel, Safety professionals, and executive leadership. Experience supporting project pursuits, constructability reviews, estimating activities, and operational planning efforts preferred. Competency with Microsoft Office Suite and construction management software such as Procore, Autodesk Construction Cloud, Primavera P6, InEight, HCSS, or similar platforms. Strong leadership, organizational, communication, conflict resolution, and problem-solving skills. Valid driver's license with an acceptable driving record. Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily field-based, with the majority of work performed directly from active project sites. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career. #LI-AS1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/