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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. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role. Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most. Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact. Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment. Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic. Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share. Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value. Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account. Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through. Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers. Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers. Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements. You may be a good fit if you have 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager. 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply. Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment. Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly. Strong programming skills with proficiency in Python or TypeScript and experience building production applications. A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps. Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery). The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems. A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity. Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong candidates may also have Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role. Experience with marketplace, embed/OEM, or co-sell motions. Prior forward-deployed engineering leadership. Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions. Experience coaching engineers from purely technical roles into customer-facing, advisory work. Executive briefing and public speaking presence. 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable. This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors. If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you. Key responsibilities Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors Lead stock-based compensation reporting, including the expense and award-activity roll-forwards Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them Minimum qualifications Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings) Experience using Claude or similar AI tools to build new financial reporting workflows or automation Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data Have built reusable Claude or similar AI skills, agents, or processes Experience with international statutory reporting or consolidation of special-purpose entities CPA or equivalent certification The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manager, Compute Accounting at Anthropic, you will execute day-to-day accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for preparing compute cost accounting, including accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires hands-on month-end close experience, strong organizational skills, and the ability to build scalable processes and controls in a high-growth environment, with a strong appetite for process improvement and automation. You'll work directly with Engineering, Procurement, and Finance & Strategy to resolve issues and ensure that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll help operate the financial controls and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also support internal and external audit requests. Key responsibilities Own the accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations Perform accounts payable and vendor statement reconciliations, working with cloud service providers to resolve discrepancies and ensure billing accuracy Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends Support internal and external audit requests on compute cost accounting and commitment disclosure matters Work with Engineering and cloud service providers to investigate issues and see them through to resolution Build monthly and quarterly financial reporting packages for leadership reviews Drive process improvement and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and contribute to cross-functional projects from scoping through delivery Minimum qualifications 7+ years of progressive operational accounting experience CPA (or equivalent) with a strong understanding of GAAP Strong, hands-on month-end close experience, with a proven ability to prepare accruals, reconciliations, and journal entries accurately and on time Significant experience accounting for cloud service or compute infrastructure expenses, including review of associated contracts Experience with cloud service provider cost structures and the unique challenges of accounting for consumption-based services Strong written and verbal communication skills, with the ability to explain issues to vendors, engineers, and other non-finance stakeholders in clear, simple terms Strong analytical abilities and comfort working with a high volume of transactions Proven experience building accounting processes, controls, and policy in high-growth environments Strong organizational skills and attention to detail, with a track record of seeing issues through to resolution Proficiency with modern ERP systems (Workday preferred) Preferred qualifications Have experience mentoring junior accounting professionals A track record of leading process transformation, automation, or finance systems projects from scoping through delivery Strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities Comfort with cross-functional partnership in fast-paced environments where priorities can shift quickly SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems Python skills for building automation and analytical tools Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models Background combining Big 4 accounting experience with industry roles at technology companies Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts Track record of implementing automated reconciliation and reporting solutions Familiarity with commitment-based purchasing agreements and their accounting implications Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation Experience supporting rapid growth and scaling initiatives 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: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Manager, M&A Finance Integration to run the finance function's role in each transaction, from LOI through Day 1 readiness and post-close execution, and to own the program management of Anthropic's growing legal entity footprint. This is a build-and-run opportunity. Reporting to the Director, M&A Finance Integration, you will be the day-to-day operator of the M&A Finance Integration program: you will scope and drive the finance integration plan for each deal, coordinate finance workstreams alongside Corporate Development, Legal, and People, and be the connective tissue between deal teams and the functions that execute. You will also own the end-to-end legal entity lifecycle (setup, migration, and wind-down) for acquired entities and newly formed subsidiaries, and turn what we learn from every deal and legal entity set up into a maintained playbook and template library. The ideal candidate has operated in a similar function at a high-growth technology company, brings enough accounting fluency to know when a closing spreadsheet or entity plan looks wrong, and thrives on building rigorous, repeatable processes while deals are live. Key responsibilities Deal Integration Planning & Execution Scope and own the finance integration plan for each transaction across every phase, from LOI and due diligence through signing, sign-to-close, and Day 90, spanning finance functions Tailor the plan to the integration model (full integration vs. standalone subsidiary) and define each function's baseline activities and standalone-specific deltas Ensure every function is engaged at the right phase, with clear owners, dependencies, and escalation paths Run the integration operating rhythm: workstream check-ins, issue logs, risk registers, RACI matrices, decision logs, and status reporting to finance leadership Negotiate deliverables and trade-offs directly with functional leads; escalate to the Director with a recommendation when priorities conflict Day 1 Readiness & Post-Close Execution Drive Finance Day 1 readiness: bank account control and signers, payroll cutover, AP/AR continuity, ERP entity, cost-center and project-code setup, chart-of-accounts mapping, and expense policy communication Run the Day 1 checklist and 30/60/90-day follow-through, ensuring acquired entities are onboarded without disruption to the close cycle Coordinate the closing spreadsheet, net working capital mechanics, and post-close true-up with Corporate Development, Legal and Technical Accounting Serve as a primary finance point of contact for the target's finance team and Corporate Development's integration lead during transition Scope, track, and manage external advisor engagements and unblock issues as they arise Stakeholder Management & Communication Act as a credible counterpart to Corporate Development, finance functional leads, and target finance leadership on integration substance Communicate integration and entity status to leadership through clear dashboards and written briefings Mentor team members and contractors as the function grows Handle confidential deal information with discipline Legal Entity Lifecycle Program Management Build and run the end-to-end entity setup process: decision documentation, incorporation, tax registrations, banking, ERP entity creation, functional-currency assessment, payroll or employer-of-record bridge, and statutory / compliance calendar onboarding, with a named owner for each step across US and international entities Own the entity wind-down process, including customer and vendor off-boarding, final payroll and employee transfers, account closure, intercompany settlement, and final statutory filings, in partnership with Legal, Tax, and the involved finance functions Design and maintain a single entity tracker with per-entity, per-workstream implications and status, aligned with adjacent entity programs (e.g., infrastructure and special-purpose entities) so they share one backbone Playbook, Templates & Infrastructure Build and own the Legal Entity Playbook: a repeatable, end-to-end framework covering entity formation, migration, and wind-down for acquired entities and newly formed subsidiaries in the US and internationally Own and maintain sections of the modular M&A Finance Integration Playbook: per-function deliverables by phase, standard operating procedures, and the template library Lead post-deal retrospectives and drive the resulting changes into the playbook and templates Identify and implement tooling and automation, including AI-assisted solutions, for recurring program work such as status synthesis, tracker updates, escalations and draft communications Minimum qualifications Demonstrated end-to-end ownership of at least two finance integration projects or entity set up projects, from planning through post-close execution, including project plan ownership and executive reporting Working accounting fluency across the areas your stakeholders own: the close calendar, chart of accounts, intercompany, statutory reporting, purchase accounting fundamentals, and the finance implications of common deal structures (asset vs. stock, acquihire vs. strategic, full integration vs. standalone) Strong program-management capability: comfortable scoping ambiguous work, owning multiple parallel workstreams, and managing to milestones without extensive oversight Experience with ERP systems (NetSuite, Oracle, SAP, or equivalent) in an acquisition and migration context Cross-functional credibility with Legal, Tax, People, Corporate Development, and Finance sub-functions, and the ability to drive outcomes across competing timelines and risk tolerances Comfort operating under deal-environment time pressure and confidentiality, with sound judgment when processes are being defined in real time Excellent written and verbal communication, with the ability to distill complex operational issues into clear, decision-ready briefings Preferred qualifications 10+ years in finance, accounting, or finance operations, with at least 3 years running cross-functional programs at a high-growth technology company, with a focus in M&A integration or legal entity programs Have built or significantly contributed to a finance integration playbook, template library, or integration management office infrastructure from scratch Bring international entity experience: new-jurisdiction setup, statutory audit and local GAAP obligations, employer-of-record bridges, transfer pricing and intercompany agreements Have worked with standalone-subsidiary integration models, consolidation bridges, and equity-method investments Be an active user of AI tools in their own workflow and excited to push program management toward automation Hold a CPA, ACA, ACCA, or CA qualification Be genuinely excited about AI safety and aligned with Anthropic's mission to build reliable, interpretable, and steerable AI systems 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: $190,000 — $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.

About LawnStarter: LawnStarter is the nation's leading on-demand marketplace for lawn care and related services, with over $150M in annual bookings. The company is expanding beyond lawn care to include pest control, pool cleaning, window cleaning, and more. About Engineering at LawnStarter: The engineering team builds the platform connecting hundreds of thousands of homeowners with over 70,000 active service professionals. They operate three brands (LawnStarter, Lawn Love, HomeGnome) on shared infrastructure, are profitable and growing. Engineering is fast-paced with constant shipping, end-to-end system ownership, and strong processes with existing engineering managers. The Role: - Lead cross-functional delivery teams of 4-5 engineers, reporting to the Head of Engineering. - Ensure the team ships reliably, grows professionally, and avoids becoming a bottleneck as the company scales into new service verticals. - This is a people-first role focusing on team growth and performance metrics. - Manage distributed teams across time zones with emphasis on async leadership and written communication. - Lead AI adoption within the team, introducing AI tools and workflows in code review, documentation, sprint planning, and debugging. What You'll Own: - People development: Create concrete growth plans for every individual contributor. - Delivery: Ensure the team ships on cadence with predictable quality, managing risks and scope. - Team health: Address conflicts directly, manage underperformers with clear processes, and protect top performers. - Cross-functional partnership: Interface between your team and Product, Design, and other engineering teams to ensure decisions are made. - Technical direction: Provide architectural input and catch risks without micromanaging. - AI adoption: Actively introduce AI tools and workflows, setting the pace for the team. Problems to Solve: - Build people leadership depth as the team scales with new headcount and complexity. - Manage distributed teams without losing culture or accountability using async communication and remote 1:1s. - Turn delivery consistency into a competitive advantage to support product-market fit and momentum. - Orchestrate cross-functional delivery from roadmap to release, balancing business value and technical soundness. - Drive AI adoption into throughput without sacrificing craftsmanship. What Success Looks Like (Year 1): - Documented growth plans for every engineer within 60 days. - Team ships committed scope on cadence within 90 days. - No surprise departures; active retention risk management. - Underperformance addressed directly and documented. - Trusted team commitments by Head of Engineering. - Increased AI enablement with new tools adopted and automation of manual tasks. Requirements: - Deep AI integration experience, actively using AI tools like Claude, Copilot, and prompt engineering to accelerate workflows. - Proven people developer with examples of career growth plans, managing underperformers, and conducting hard conversations. - Experience leading fully remote teams with async decision-making and building trust without physical proximity. - Direct conflict resolution skills, addressing tensions quickly and effectively. - Data-driven management using metrics like velocity, retention risk, and individual contributor growth. - Technical credibility with enough coding and architectural involvement to earn engineers' respect. - Delegator who builds autonomous teams, coaching engineers rather than micromanaging. This Role Is NOT: - A pure technical architect role. - A process manager. - A stepping stone position. - A reactive firefighter. - An AI skeptic in leadership. Benefits: - Salary: $120,000-$140,000 USD annually (contractor), depending on experience. - Location: Fully remote. - Flexibility: Structured work hours with reasonable life flexibility. - Equal employment opportunity compliance. To apply: https://weworkremotely.com/remote-jobs/lawnstarter-software-engineering-manager-7

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 As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do Topology and load management. Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support. Reliability modeling. Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet. Power modeling and load forecasting. Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting. Partner diligence. Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces. What We're Looking For Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles. Depth in at least one of: reliability engineering, power modeling and energy scheduling, or load management and controls (telemetry, IT/OT interfaces, load transfer and shedding systems). Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience with software that bridges IT and OT. Exposure to accelerator deployments and their power management interfaces, or to capacity overallocation in large compute fleets, strongly preferred. Ability to translate between infrastructure engineering, software teams, legal and commercial teams, and external partners. Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering Demonstrated experience with data center power distribution and cooling system architectures, and infrastructure failure mode management Demonstrated experience in at least one of the following: Building quantitative reliability or availability models (Monte Carlo, fault tree, reliability block diagram, or FMEA) Building power, energy or capacity models and forecasts from measured data Building, testing or operating software-based power management, load shedding, or control systems Track record of cross-functional collaboration across hardware, software, and facilities teams Preferred Qualifications Experience in more than one of the three focus areas above Experience with accelerator-class deployments, rack power architectures, and their power management interfaces Experience with integrated systems testing and commissioning (L4/L5), or writing sequences of operation Experience with SLA development, availability commitments, or service credit frameworks in leases or cloud contracts Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation Exposure to ML or optimization techniques applied to infrastructure or energy systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.   As a Lead Product Manager for Processing, you will own the development of one of our core product domains responsible for how payments are initiated, processed, routed, and completed across our platform. This is a hands-on product leadership role. You will shape the domain strategy and roadmap, translate business and customer needs into scalable product solutions, and lead complex initiatives involving multiple product and engineering teams. We are looking for someone who combines strong product management fundamentals with practical payments expertise and a solid understanding of how B2B payment businesses operate in the real world. Responsibilities: Domain Strategy & Vision: Define and evolve the Processing product vision and roadmap; translate company goals, customer needs, market developments, and operational constraints into clear product priorities; maintain a 12–24 month planning horizon Payments Product Development: Own payment-related products and capabilities end-to-end; understand payment flows, methods, routing, settlement, failures, reconciliation and operational implications; identify opportunities to improve conversion, reliability, cost and scalability Cross-Domain Initiatives: Personally lead complex initiatives spanning multiple product domains and teams; identify dependencies, build execution plans, align stakeholders and drive initiatives through delivery rather than relying only on coordination structures Discovery & Solution Design: Structure ambiguous problems, validate hypotheses using data, customer feedback and operational insights; define target solutions and business logic together with Engineering, Design, Operations and other stakeholders Roadmap & Prioritization: Own and continuously prioritize the domain roadmap; balance customer value, revenue opportunities, operational efficiency, technical investments, compliance requirements and delivery capacity Business & OperationsUnderstand how product decisions affect B2B operations; work closely with Operations, Finance, Compliance, Support and commercial teams; identify where operational processes should be automated, redesigned or eliminated through product changes Metrics & Performance: Define domain-level success metrics; monitor payment performance and product outcomes; use data to identify bottlenecks, validate improvements and make prioritization decisions Stakeholder Leadership: Communicate strategy, priorities, trade-offs and progress clearly to Product leadership, executives and cross-functional stakeholders; represent the domain in company-level discussions Product Leadership: Raise the quality of product practices within the domain; support and mentor Product Managers; help teams move from feature delivery toward measurable product and business outcomes What We’re Looking For 5+ years of hands-on Product Management experience, preferably in B2B, FinTech, payments or financial infrastructure Proven experience owning a complex product area or domain, rather than individual features only Practical experience with payments and a strong understanding of payment flows and their operational implications Good understanding of the payments landscape and payment methods, including how different payment rails and methods affect customer experience, economics and operations Strong practical understanding of B2B business operations — how products interact with Operations, Finance, Support, Compliance and commercial processes Proven ability to personally drive complex cross-team or cross-domain initiatives from problem definition through implementation Strong ability to structure ambiguous problems, decompose them into manageable initiatives and establish clear priorities Experience building and managing roadmaps with a 12–24 month planning horizon Strong analytical skills and ability to work with product and operational metrics Ability to communicate complex concepts in a simple, structured way for both technical teams and senior stakeholders Strong ownership mentality: comfortable making decisions, resolving dependencies and moving initiatives forward without requiring constant escalation Experience mentoring Product Managers or contributing to product practices beyond your immediate team Strong written and verbal English, B2–C1+ Strong Advantage Hands-on knowledge of fiat payment infrastructure, acquiring and card payment flows Experience with PSPs, payment gateways, acquiring, alternative payment methods or payment orchestration Understanding of authorization, capture, settlement, reconciliation, refunds, chargebacks and payment failure scenarios Experience with crypto payments, blockchain infrastructure, wallets, custody or digital assets Experience working in regulated financial environments Understanding of payment economics: fees, routing costs, conversion, margins and operational cost drivers Experience designing products that replace or significantly automate manual operational processes Leadership Expectations This role goes beyond managing a backlog or delivering features. We expect a Lead Product Manager to be able to operate at several levels simultaneously: Strategy → Domain → Initiative → Execution You should be comfortable defining where the domain needs to go, translating that direction into concrete initiatives, and stepping directly into execution when a complex problem requires hands-on leadership. The role is designed for a mature product leader who can operate independently today and take on broader product leadership responsibility as the organization and domain evolve. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Canada What the Role Is We are looking for a Corporate Finance Manager to join our growing Finance team! In this role, you will partner with the Director of Corporate Finance, VP of Finance on consolidations, opex, balance sheet and cash flow forecasting, internal business reviews, external board reporting, and ad hoc analyses. Reporting to the Director of Corporate Finance, you will contribute to financial reporting delivered to executive leadership and other stakeholders including our board and investors. This role requires a high degree of independent ownership, rigorous accuracy, and proactive communication — and a hands-on appetite for using AI to automate and improve how we work. The role operates with meaningful autonomy: you frame problems yourself, build the mechanisms that keep budgets and forecasts honest, and bring recommendations rather than questions, often where no template or precedent exists yet. We care more about how you think and operate than where you have worked. Strong candidates come from FP&A and corporate finance, and also from finance business partnering, investment banking, private equity, consulting, strategic finance or accounting, as long as you are fluent in financial statements and can turn numbers into a story. Who You Are Work experience: 5+ years of progressive experience in FP&A, corporate finance, finance business partnering, strategic finance, investment banking, private equity, consulting, accounting or a related analytical role, with Manager-level ownership or the equivalent scope, and a strong understanding of financial statements. You have owned a recurring deliverable for a senior audience end to end across multiple cycles (an exec or board package, a monthly reporting pack, a client or deal model), and you have built or materially rebuilt a process or model from the ground up rather than only operated one. Key skills and tools: Fluency in financial statements and how they connect, including balance sheet and cash flow mechanics. Advanced analytical and modeling skills, including building models from the ground up and working with large, detailed datasets. Advanced Excel or Google Sheets and strong slide-building skills. Strong written and oral communication skills: You distill complex analyses into clear, concise insights and recommendations for executive and board audiences, tell the story behind the numbers, and build effective working relationships with leaders outside Finance. Demonstrated independent ownership and problem-solving: Able to take an ambiguous problem, frame it, set priorities, and drive the work forward in the absence of templates or clear precedent. You make the routine calls yourself and bring your manager a proposal with only the decisions that need them. Does not require hand-holding on day-to-day execution. Exceptional accuracy and quality control: Owns and takes pride in their work. Builds checks into models and decks, self-reviews before sending work up, and treats precision as a core professional value. Catches errors before they become someone else's problem. When you hand something over as ready, it is ready: tied to source, checked against house style, and reviewed by you first, so your manager's pass is the last check rather than the first. When you fix an issue, you fix it at the source so it does not return, and your fixes do not introduce new ones. Proactive communication and workplan execution: Surfaces risks early, keeps stakeholders informed without being prompted, manages their own timelines, and delivers on commitments without needing to be chased. When a date will slip, your manager hears it from you before the deadline. Hands-on curiosity and demonstrated use of AI tools in finance workflows: Has concrete, specific examples of using AI (Claude, ChatGPT, Copilot, or similar) to automate reporting, accelerate analysis, improve modeling, or scale deliverables. Actively looks for new places to apply AI and is energized by the pace of change. You are accountable for every number and sentence in your deliverable regardless of which tool produced it, and you never hand over AI output you have not read and verified. Moves at pace and learns fast: Comfortable taking on work you have not done before and learning new tools, systems and parts of the business quickly. Scrappy, curious, and a tinkerer by nature. Delivers under pressure when conditions change. Education: Bachelor's degree in Finance, Accounting, Economics, Business or another quantitative field. You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in. Nice to have: Planning systems (Netsuite Planning and Budgeting, Oracle Hyperion, Anaplan, Adaptive), SQL or BI tools; experience improving or automating reporting and planning processes; familiarity with e-commerce, marketplace or retail business models; experience at both public and high-growth private companies; MBA or CPA. How You Will Make An Impact Own the execution of our monthly, quarterly, and annual FP&A processes, including the forecast calendar, key milestones, and long-term financial modeling, driving these cycles independently end to end. Develop deep understanding of the Babylist business model and key levers in our business — build genuine business curiosity and fluency in how we make money, what drives growth and margin, and where the risks live. Use that understanding to deliver insights and commentary that connect the numbers to the underlying business, not just describe variances. Contribute to executive and board of directors presentation materials on business performance and strategic business decisions — preparing analyses, drafting slides, and owning the accuracy of underlying data. Prepare consolidated income statement, balance sheet, and cash flow models. Analyze actual to expected performance with rigorous variance commentary grounded in data, not guesswork. Ensure that our short, medium, and long range financial plans are built and delivered as part of a rigorous and collaborative process. Own and improve the total company opex budgeting process (who requests, who approves, who loads, how it is documented) at the GL and department level, in partnership with department heads, Accounting, and the People team on headcount planning. Build the inspection mechanisms (budget log, approval thresholds, plan-to-actual GL mapping) that hold budget owners accountable to plan. Develop and maintain financial models, reports, and analysis to support key business decisions and strategic initiatives Perform ad-hoc reporting and analysis as required, proactively surfacing insights and risks to the Director of Corporate Finance, VP of Finance, CFO, and business partners. Identify and implement AI-enabled automation across FP&A workflows — actively experiment with AI tools to reduce manual effort on reporting, modeling, variance analysis, and deck production, and share learnings across the Finance team. Improve and scale by developing repeatable processes, including standardizing and automating reports and implementing enhancements to planning and forecast systems. Take pride in your work and operate with a strong accuracy and quality control mindset — building review checkpoints, reconciliations, and self-QC habits into every deliverable before it leaves your desk. Our interview Process A recruiter screen, a 30-minute conversation with the hiring manager, a three-hour live working session on a realistic finance case (recorded, no AI, no preparation required), then a half-day final round with the Finance team. The live session replaces a take-home, so the total time you spend is lower and you see the work before you decide. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: C$147,000 to C$176,375 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: United States What the Role Is We are looking for a Corporate Finance Manager to join our growing Finance team! In this role, you will partner with the Director of Corporate Finance, VP of Finance on consolidations, opex, balance sheet and cash flow forecasting, internal business reviews, external board reporting, and ad hoc analyses. Reporting to the Director of Corporate Finance, you will contribute to financial reporting delivered to executive leadership and other stakeholders including our board and investors. This role requires a high degree of independent ownership, rigorous accuracy, and proactive communication — and a hands-on appetite for using AI to automate and improve how we work. The role operates with meaningful autonomy: you frame problems yourself, build the mechanisms that keep budgets and forecasts honest, and bring recommendations rather than questions, often where no template or precedent exists yet. We care more about how you think and operate than where you have worked. Strong candidates come from FP&A and corporate finance, and also from finance business partnering, investment banking, private equity, consulting, strategic finance or accounting, as long as you are fluent in financial statements and can turn numbers into a story. Who You Are Work experience: 5+ years of progressive experience in FP&A, corporate finance, finance business partnering, strategic finance, investment banking, private equity, consulting, accounting or a related analytical role, with Manager-level ownership or the equivalent scope, and a strong understanding of financial statements. You have owned a recurring deliverable for a senior audience end to end across multiple cycles (an exec or board package, a monthly reporting pack, a client or deal model), and you have built or materially rebuilt a process or model from the ground up rather than only operated one. Key skills and tools: Fluency in financial statements and how they connect, including balance sheet and cash flow mechanics. Advanced analytical and modeling skills, including building models from the ground up and working with large, detailed datasets. Advanced Excel or Google Sheets and strong slide-building skills. Strong written and oral communication skills: You distill complex analyses into clear, concise insights and recommendations for executive and board audiences, tell the story behind the numbers, and build effective working relationships with leaders outside Finance. Demonstrated independent ownership and problem-solving: Able to take an ambiguous problem, frame it, set priorities, and drive the work forward in the absence of templates or clear precedent. You make the routine calls yourself and bring your manager a proposal with only the decisions that need them. Does not require hand-holding on day-to-day execution. Exceptional accuracy and quality control: Owns and takes pride in their work. Builds checks into models and decks, self-reviews before sending work up, and treats precision as a core professional value. Catches errors before they become someone else's problem. When you hand something over as ready, it is ready: tied to source, checked against house style, and reviewed by you first, so your manager's pass is the last check rather than the first. When you fix an issue, you fix it at the source so it does not return, and your fixes do not introduce new ones. Proactive communication and workplan execution: Surfaces risks early, keeps stakeholders informed without being prompted, manages their own timelines, and delivers on commitments without needing to be chased. When a date will slip, your manager hears it from you before the deadline. Hands-on curiosity and demonstrated use of AI tools in finance workflows: Has concrete, specific examples of using AI (Claude, ChatGPT, Copilot, or similar) to automate reporting, accelerate analysis, improve modeling, or scale deliverables. Actively looks for new places to apply AI and is energized by the pace of change. You are accountable for every number and sentence in your deliverable regardless of which tool produced it, and you never hand over AI output you have not read and verified. Moves at pace and learns fast: Comfortable taking on work you have not done before and learning new tools, systems and parts of the business quickly. Scrappy, curious, and a tinkerer by nature. Delivers under pressure when conditions change. Education: Bachelor's degree in Finance, Accounting, Economics, Business or another quantitative field. You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in. Nice to have: Planning systems (Netsuite Planning and Budgeting, Oracle Hyperion, Anaplan, Adaptive), SQL or BI tools; experience improving or automating reporting and planning processes; familiarity with e-commerce, marketplace or retail business models; experience at both public and high-growth private companies; MBA or CPA. How You Will Make An Impact Own the execution of our monthly, quarterly, and annual FP&A processes, including the forecast calendar, key milestones, and long-term financial modeling, driving these cycles independently end to end. Develop deep understanding of the Babylist business model and key levers in our business — build genuine business curiosity and fluency in how we make money, what drives growth and margin, and where the risks live. Use that understanding to deliver insights and commentary that connect the numbers to the underlying business, not just describe variances. Contribute to executive and board of directors presentation materials on business performance and strategic business decisions — preparing analyses, drafting slides, and owning the accuracy of underlying data. Prepare consolidated income statement, balance sheet, and cash flow models. Analyze actual to expected performance with rigorous variance commentary grounded in data, not guesswork. Ensure that our short, medium, and long range financial plans are built and delivered as part of a rigorous and collaborative process. Own and improve the total company opex budgeting process (who requests, who approves, who loads, how it is documented) at the GL and department level, in partnership with department heads, Accounting, and the People team on headcount planning. Build the inspection mechanisms (budget log, approval thresholds, plan-to-actual GL mapping) that hold budget owners accountable to plan. Develop and maintain financial models, reports, and analysis to support key business decisions and strategic initiatives Perform ad-hoc reporting and analysis as required, proactively surfacing insights and risks to the Director of Corporate Finance, VP of Finance, CFO, and business partners. Identify and implement AI-enabled automation across FP&A workflows — actively experiment with AI tools to reduce manual effort on reporting, modeling, variance analysis, and deck production, and share learnings across the Finance team. Improve and scale by developing repeatable processes, including standardizing and automating reports and implementing enhancements to planning and forecast systems. Take pride in your work and operate with a strong accuracy and quality control mindset — building review checkpoints, reconciliations, and self-QC habits into every deliverable before it leaves your desk. Our interview Process A recruiter screen, a 30-minute conversation with the hiring manager, a three-hour live working session on a realistic finance case (recorded, no AI, no preparation required), then a half-day final round with the Finance team. The live session replaces a take-home, so the total time you spend is lower and you see the work before you decide. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $128,413 to $171,229 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

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. Security isn't a feature at 1Password. It is the product. We're looking for a Principal Product Manager to shape security strategy across the company, working with Security Engineering, who hold one of the highest technical bars in the industry, and with the product teams building everything our customers touch. You'll be the bridge. You'll understand cryptographic and architectural detail well enough to earn the trust of our security engineers, and you'll translate what matters into clear priorities for feature teams. Just as importantly, you'll bring a deep respect for the customer: a security control nobody can stand to use makes everyone less safe. You'll help us find the design that's both rigorous and usable, and have the credibility to say so in a room full of experts WHAT YOU'LL DO - Partner with product teams on security early. Work with PMs and feature teams to understand their upcoming roadmaps, identify security requirements and threat-model implications before designs are locked, and make sure those needs are visible, prioritized, and resourced. - Align Security Engineering with product strategy. Translate feature-team needs into prioritized security work, and make Security Engineering's priorities legible to the rest of the company so tradeoffs are made in the open. - Own an independent security roadmap. Set direction for platform-level security investments, such as key management and recovery, the cryptographic foundations of our zero-knowledge architecture, authentication, and our long-term readiness for post-quantum cryptography. - Lead our strategy for the AI era. Define how 1Password approaches agentic access to credentials, secrets for non-human identities and AI agents, and the trust models emerging around tools and protocols like MCP. - Balance risk and usability with evidence. Help security engineers weigh real-world risk against user friction, using adoption, support, and telemetry data alongside threat models. Shipping with accepted, documented residual risk is sometimes the right call, and you'll help us make and defend those decisions. - Represent 1Password to the security community. Engage with security researchers and our bug bounty program, speak at conferences, and contribute to the wider conversation about where credential security is heading. - Raise the bar for product work. Coach PMs on security thinking, challenge assumptions constructively, and set the standard for how security-critical product work gets done. OUR PHILOSOPHY ON PRODUCT CONSISTS OF FIVE CORE PILLARS: - Focus and execution: Can you ship quickly and measure results? - Customer empathy: Are you motivated first and foremost to solve customer problems? - Effective communication: Can you bring the entire organization, horizontally and vertically, along on the journey? - Go to market: Can you understand and drive business outcomes through product decisions? - Technology: Articulating how our technology beats our competitors Product Managers play a highly visible role at 1Password and are critical to the development and execution of our product strategy. As PMs, we are responsible for setting and championing a high bar for our products. At the Principal level, you also set the standard for how product work gets done. You coach, you challenge assumptions, and you make the whole team better. You must excel at prioritization, collaboration, and communication, while holding yourself and others accountable for measuring quality and business results. You will work with Engineering, Design, Security Research, and GTM teams to ensure every decision we make as a product is grounded in our commitment to verifiable security. WHAT WE'RE LOOKING FOR - 10+ years of product management experience, including significant time on security-critical products or platforms in a SaaS environment. We'll also strongly consider exceptional candidates with equivalent depth, such as security engineers or researchers who moved into product. - Deep, demonstrable knowledge of security fundamentals: cryptography, authentication protocols, identity and access management, zero-knowledge and end-to-end encrypted system design, and threat modeling. - Fluency in the credential and identity landscape, including passkeys, WebAuthn/FIDO, and the standards shaping how people sign in. - A track record of earning credibility with security engineering teams, not just working alongside them. - The ability to read and reason through technical specifications, security audits, and cryptographic design documents. - Experience making and defending risk-based tradeoffs, and explaining them clearly to engineers, executives, and customers. - A history of shipping security features that users actually adopt, and of using friction and adoption data to improve them. - Experience setting strategy at the platform or infrastructure level, and influencing roadmaps you don't own without formal authority. - Communication that scales from a security research paper to an executive briefing without losing precision in either direction. - A strong point of view on how the security landscape is shifting, and the ability to connect it to concrete roadmap decisions. STRONG PLUS - Standing in the security community, through conference talks, publications, research, open-source work, or standards participation. - Hands-on experience with AI security: agent identity and authorization, prompt injection, secrets management for automated systems. - Experience with compliance and certification regimes such as SOC 2, FedRAMP, or FIPS. - Prior work in vulnerability disclosure, incident response, or threat intelligence that gives you a practitioner's intuition. - Experience running or working closely with a bug bounty program or researcher community. WHAT YOU CAN EXPECT - Working with a passionate, highly motivated Product and Security team that holds an exceptional bar and genuinely cares about getting it right - A direct line to decisions that shape the security architecture millions of people depend on every day - Empowerment to set long-term security product strategy and drive it through execution - A culture where technical depth is respected, tradeoffs are named honestly, and shipping the right thing matters more than shipping fast - A collaborative environment where the best argument wins, regardless of title USA-based roles only: The annual base salary for this role is between $238,000 USD and $357,000 USD; 15% annual bonus, 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 $208,000 CAD and $312,000 CAD; 15% annual bonus, 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: Bucharest, Romania Blue Projects’ Project Delivery & Engineering team is looking for a Structural Design Engineer to join our team in Bucharest, Romania. About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. Role Overview We are seeking a Structural Design Engineer, who is motivated to join a dynamic team delivering international, interdisciplinary design work. The role focuses on the modelling, design and detailing of steel and concrete structures, preparation of technical documentation and coordination with international design teams. You will contribute to complex international projects in a multidisciplinary and multicultural environment, using modern design tools while developing your expertise across major industrial and civil projects. Job Description Model, design and detail steel structures. Model, design and detail concrete structures. Prepare written technical documentation, including technical reports, specifications and calculation notes. Coordinate design activities with international design teams. Qualifications University degree in civil engineering, preferably with a specialization in Civil, Industrial and Agricultural Buildings (CCIA). Mid to advanced level of civil engineering knowledge. Working knowledge of SAP2000 and ETABS. Proficiency in Revit. Proficiency in the Microsoft Office suite. Working knowledge of IDEA StatiCa. Strong communication and teamwork skills. Advanced level of English Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

Location: Remote Workplace: Remote Hi! This is the Flipper team. We are the creators of Flipper Zero https://flipper.net/?srsltid=AU7gw4WxIL8F7J-rmUw_dv_iP-J9gsE_z3LmXHAdhxXPBZ41V18F53rD — a portable device for tech enthusiasts and engineers. It’s a gadget with an awesome community that brings together millions of people around the world. We're building new products: - Flipper One https://blog.flipper.net/flipper-one-we-need-your-help/ — a full-featured ARM-based computer running Linux in a compact form factor, powered by the Rockchip RK3576 SoC. - BUSY Bar https://busy.app — a smart productivity multi-tool that helps users stay focused and minimize distractions. We're looking for a Head of Production Test Engineering to lead the team responsible for production testing of our physical devices and ensure that tests, equipment, software, and instructions are ready for new product launches and mass production. Responsibilities: - Build and maintain a unified production testing roadmap covering new products, product launches, mass production support, and infrastructure improvements, with clear priorities, timelines, owners, and resource requirements - Lead the engineering team, allocate resources, develop team capabilities, and balance urgent production issues with planned work - Coordinate dependencies across hardware, firmware, manufacturing, and other teams, identifying risks and blockers early to ensure production testing is ready for product launches - Define production testing strategies and acceptance criteria with the team and oversee the development and maintenance of test fixtures, equipment, software, and infrastructure, including for new products such as Flipper One - Coordinate test deployment at factories, maintain up-to-date instructions and test result monitoring, and work with engineering and manufacturing teams to identify root causes of defects and validate fixes - Analyze production test data, returns, and support cases to identify systemic issues and turn recurring defects into concrete improvements to the product, manufacturing process, or testing Requirements: - Hands-on experience with electronics production testing and a strong understanding of the full product lifecycle from prototype to mass production - Strong technical foundation, including the ability to read and develop schematic, use measurement equipment, solder, and troubleshoot interactions between electronics, firmware, and test software - Hands-on experience developing or implementing automated tests and production test fixtures, with strong Linux and Python skills, including pytest - Experience leading an engineering team, including planning, prioritization, resource allocation, and people development - Experience managing cross-team dependencies and working directly with factories on technical requirements, production changes, and issue resolution - English proficiency sufficient for working calls, written communication, and technical documentation with factories Nice-to-haves: - Experience launching production on-site in China and working directly with Chinese factories - Confident use of AI tools for rapid prototyping What we offer: - Choose your work format: office, hybrid, or fully remote from anywhere in the world. - You will be provided with all the necessary equipment for a comfortable working environment. - Benefits such as VHI, corporate sports, foreign language courses, and therapy sessions. - A five-day workweek with a flexible start of the working day.

Location: Paris, France; Bordeaux, France; Marseille, France; Brussels, Belgium; Madrid, Spain; Barcelona, Spain 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. #LI-DNP

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As a Technical Product Operations Manager, you will own the work that moves our platform forward but does not fit inside any single team. Our engineering organisation is split across several tribes, each with its own services, roadmap and release cadence. Platform migrations, retiring shared dependencies, standardising how every squad works and rolling out new engineering practices all cut across those boundaries, and you will be the person who holds that work end to end. You will run cross-team technical programs, help drive and improve the engineering processes everyone relies on, and make sure both are backed by real data rather than assumptions. This is not a people management role, and you will not write production code. You do need to be technical enough that engineers treat you as a peer. The role is broad and hands-on. In a typical week you might sequence a Kafka topic migration across four squads, fix a company-wide process that keeps stalling at the same step, pull numbers from a database to settle a question about impact, and ship a small automation that removes a recurring manual task for the whole department. Continuous improvement and AI are central to the role: you will constantly look for better ways for engineering to work and apply AI where it clearly improves throughput, quality or speed. Responsibilities: Run cross-team technical programs such as platform migrations, dependency removals, standardisation initiatives, decommissioning, and large infrastructure changes. For each one, break broad goals into sequenced plans with named owners. Find the right decision-makers when ownership is unclear, facilitate technical discussions (including where squads disagree), and secure clear decisions with committed dates. Maintain a single, accurate view of each programme's phase, blockers, owners, and delivery dates. Raise conflicts between sources rather than smoothing them over. Produce concise, accurate status reporting that engineering leadership can act on. Drive and improve company-wide engineering processes, such as tech design review. This means sharpening the processes already live, establishing new ones where needed, and running their cadence, templates, queues, and follow-through. Gather feedback from engineers and separate friction worth removing from friction that serves a purpose, then turn the findings into concrete process changes. Instrument processes so their health is measured rather than assumed, for example review turnaround time, rework rate, or how often work reaches build without a required decision. Query data directly using SQL, dashboards, and APIs, and reconcile what Jira reports with what systems actually show. Identify recurring manual work across engineering and automate it, using AI where it adds real value, then measure whether the automation delivered actual savings. Build lasting assets such as playbooks, templates, runbooks, automated reporting, and agent workflows that keep working after each programme ends, and help colleagues adopt the AI practices that work. Requirements: Degree in STEM or other quantitative field. Minimum 4 years of experience in technical programme management, engineering operations, or delivery management within a high-performance software engineering environment. Proven track record of delivering cross-team technical programmes in a multi-team organisation. Strong technical understanding of modern software systems, including services, deployments, queues, metrics, Kubernetes, Kafka, CI/CD, releases, and rollbacks. Ability to read architecture diagrams, tech design documents, and ADRs, and judge whether they are ready for review. Proficiency in SQL and comfort working with dashboards, APIs, and Jira. Practical experience using AI tools to improve personal and team productivity. Strong stakeholder management and facilitation skills, with the confidence to drive decisions where ownership is unclear. Clear, concise written communication for senior audiences. Strong ownership mentality: proactive, accountable, and execution-focused. What Will You Get in Return?   •  Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. •  Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid •  Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. •  Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. •  Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! •  Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! •  Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.   Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

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 Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. Within Safeguards, our Policy, Enforcement, and Threat Intelligence teams work as one org: Policy Design defines what is and isn't allowed across harm areas, Enforcement detects and acts on violations, and Threat Intelligence investigates sophisticated misuse and emerging threats. That work runs across a lot of teams and moves fast. A single decision can touch model training, detection systems, product launches, legal review, and external communications. As the org's program manager, you'll keep all of it moving: tracking the portfolio across all three teams, running the processes that connect their work to each other and to the rest of the company, and making sure the right people are aligned before decisions land. Your work will include the operating rhythm (planning, priorities, status, and decision tracking), launch and release readiness across policy, enforcement, and threat intelligence workstreams, and the processes that support how we share our work externally, including blog posts, threat reports, and other publications. You'll work closely with the org's leadership to spot risks early, clear blockers, and keep everyone pointed in the same direction. This role is a good fit for someone who brings structure to ambiguous, fast-moving work without adding overhead, and who can earn the trust of policy experts, researchers, and engineers alike. Important context for this role: some of the work may involve exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. It also may require late nights or weekend work. Key responsibilities Own cross-functional program management for the Policy Design, Enforcement and Threat Intel teams, keeping workstreams across harm areas on track and visible to leadership Run the team's operating rhythm: quarterly planning, priority setting, status tracking, and a clear record of decisions, who made them, and why Coordinate policy work with partner teams across research, product, engineering, legal, and communications, so dependencies are surfaced early and nothing lands on a partner as a surprise Drive readiness for policy, enforcement, and threat intelligence work tied to model launches and product releases, including timelines, reviews, and sign-offs Own the process for the org's external publications, including blog posts and threat reports, from idea through drafting, review, approvals, and publication Identify risks, blockers, and resourcing gaps across the portfolio, and escalate them with a proposed path forward Build lightweight processes and tools that make the team faster, and retire the ones that stop earning their keep Minimum qualifications Experience running cross-functional programs in a fast-moving technical environment, with a track record of shipping on time across teams you don't manage Ability to bring structure to ambiguous work: breaking big goals into plans, owners, and milestones, and keeping them current as priorities shift Strong written communication, including clear status updates, decision records, and summaries for executive audiences Experience managing review and approval processes with multiple stakeholders, such as publications, launches, or policy releases Judgment about when a process helps and when it's overhead, and a bias toward the lightest process that works Comfort working on sensitive topics and holding high standards for confidentiality Preferred qualifications Program management experience in trust & safety, product policy, enforcement operations, threat intelligence, or AI safety Familiarity with how AI models are developed and launched, and how policy, enforcement, and threat intelligence work plug into that cycle Experience coordinating external publications, research releases, or public communications Experience using AI tools, including agentic tools, to automate tracking, reporting, and other recurring program work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale Design evaluations for long-horizon problems, and keep their results trustworthy Build the tooling and metrics that let researchers see what a large agent team is doing and why Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: Have significant software engineering, ML or research engineering experience Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project Genuinely enjoy both research and engineering work Think quantitatively about complex systems, and think twice before trusting a number Can work from a vague question rather than a spec Are results-oriented, with a bias towards flexibility and impact Have clear written and verbal communication Care about the societal impacts of your work Strong candidates may also have: Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure Built evaluations, benchmarks or harnesses for LLMs or agents Experience building complex agentic systems that use LLMs Experience with scaling laws or other large-scale empirical research A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Prior experience with multi-agent systems or reinforcement learning Representative projects: Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest Build tooling that turns the activity of a large agent team into something a researcher can read in minutes Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup 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: $500,000 — $850,000 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: Mexico We are looking for an Analyst Intern to join one of our analytics teams and work on real problems inside the fastest growing digital bank in Mexico. If you are in the final years of your degree or have recently graduated, enjoy working with data, and want to see your analysis turn into decisions, this role is for you. This is a two-month paid internship, on-site in our Mexico City office, with a commitment of at least 30 hours per week. It is ideal for someone who wants ownership over a real project rather than observation, who is comfortable asking questions, and who wants to learn from people who do this work every day. Strong performance can open the door to a permanent role. Challenges that await you: Take ownership of one real analytical project from the initial question to the final recommendation, supported by a mentor who understands your work. Pull, clean, and analyze data to answer concrete business questions from the team. Build dashboards, metrics, and recurring reports that the team uses in its daily work. Investigate anomalies and unexpected movements in metrics, and explain what is behind them. Turn your analysis into clear conclusions and recommendations that a non-technical audience can act on. Document your work so that others can reproduce and reuse it. Present your results to the team and respond to questions about your methodology. Learn how a licensed bank works end to end, from the product to the numbers it produces. What makes you a great fit: Student in the final years of a Bachelor's Degree, or a recent graduate, in Economics, Mathematics, Statistics, Actuarial Science, Engineering, Computer Science, Finance, Business Administration, or a related field. Basic SQL knowledge and confidence working with spreadsheets. Analytical thinking: you use hypotheses to guide your work and interpret results. Ability to turn data into a clear, actionable story. Working level of English (mandatory): day-to-day work happens in English. Availability of at least 30 hours per week for two months, working on-site in Mexico City. Curiosity about how products, customers, and businesses behave. Strong attention to detail and a sense of ownership over your own work. Nice to Have: Experience with Python or R for data analysis. Familiarity with BI tools such as Tableau, Power BI, Looker, or Metabase. Coursework or practical experience with statistics, A/B testing, or forecasting. A previous internship, research project, or university project using real data. Interest in fintech, banking products, or credit. Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

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're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the partnership across every surface it touches Lead product partnerships: identify and structure opportunities to embed Claude in partners' consumer and enterprise products, co-develop new products and features, and define the product, technical, data, and brand terms that come with them, working closely with Anthropic's product and engineering leaders Run multiple deal streams in parallel: manage several concurrent negotiations within the same partner — product integrations, distribution and go-to-market, commercial and consumption agreements, and infrastructure — and sequence and connect them so terms in one stream reinforce rather than undercut the others Negotiate complex, first-of-kind agreements: lead end-to-end negotiations involving novel commercial structures, revenue and economics sharing, product and roadmap commitments, exclusivity and competitive provisions, data terms, and multi-year, multi-component value exchanges Act as an executive counterpart: build and manage relationships with senior executives and their teams on the partner side, serve as Anthropic's primary voice into the partnership, and prepare and steer Anthropic's own executives through partner-level engagements Exercise judgment on behalf of Anthropic: weigh commercial upside against strategic, competitive, product, and mission considerations; know when to say no; and make clear, well-reasoned recommendations to Anthropic leadership on trade-offs that don't have a playbook Drive cross-functional execution: coordinate Product, Engineering, Sales, Marketing, Finance, Legal, and Policy across the life of a partnership, from initial structuring through negotiation, launch, and ongoing governance, ensuring what we sign is something Anthropic can deliver Minimum qualifications Direct experience owning a large, multi-business partner relationship, where you were responsible for the whole relationship rather than a single deal or product line Track record of structuring and closing product partnerships — embedding technology into partner products, co-developed products, distribution through partner surfaces, or similar — in addition to conventional commercial agreements Experience personally leading complex, multi-stakeholder negotiations with senior executives, including deals with interlocking terms, competitive sensitivities, and multi-year commitments Demonstrated ability to manage several significant negotiations at the same time without losing the thread on any of them Experience coordinating cross-functional execution (e.g., Product, Engineering, Legal, Finance) to bring a complex agreement from structuring through signature and delivery Preferred qualifications 10+ years in strategic business development, strategic partnerships, or corporate development at technology companies, with meaningful time spent managing relationships with very large technology partners Experience on either side of a partnership between a foundation model or AI platform provider and a large technology company Experience working inside one of the very large technology companies, with a practical understanding of how decisions get made, who holds budget and roadmap authority, and how to navigate them Experience with partnerships that span both consumer and enterprise businesses, or that combine product, distribution, and infrastructure components in a single relationship Understanding of foundation model capabilities and how they translate into partner products, with enough technical fluency to work credibly with product and engineering leaders on both sides Background in corporate development, strategy, or a legal or finance discipline involving structuring and papering unusually complex agreements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 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.