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Location: US: Illinois Remote Worker Workplace: Remote The role & it's impact: As a Senior Account Executive, you will be a strategic partner for large and mid-tier accounting practices, helping them navigate their digital transformation. Your primary focus is to drive net new business as you develop and execute digital strategies that enable these partners to successfully migrate their clients onto the Xero platform, driving growth for their business and ours. This is a high-impact, field-based position across Illinois where you will own your territory and build deep, lasting relationships with accounting partners. The team & how they connect: You will join a goal-motivated sales team of eight that thrives on achieving collective success and delivering measurable outcomes. You will work closely with Senior Account Executive colleagues and Partner Consulting to ensure a unified approach to territory management and expansion. Initially you will focus on: - Developing formal engagement plans and project strategies to support partner migrations. - Driving sustainable adoption and revenue growth across your territory of accounting and bookkeeping partners - Managing a consistent cycle of appointments and meetings within your allocated territory to drive and deepen an online strategy - Recruiting, educating, and growing your partner base by delivering events and certification training - Using Salesforce to maintain accurate data and ensure excellence in forecasting and territory management Where and how you can work: This is a field-based role in Illinois that offers the freedom to work autonomously while managing your specific territory. You should expect regular travel for client visits, including driving throughout Illinois for face-to-face meetings. We embrace hybrid working, providing beautiful office spaces for collaboration alongside the flexibility to manage your own schedule and boost days. Here are some of the things we are looking for: - You bring a results-driven approach and a genuine enthusiasm for building strong, rapport-based relationships with accounting partners. - Your background includes proven success in field account management and a track record of meeting and exceeding sales targets - You possess an interest in the fintech market and the ability to educate others on digital resources and online accounting - You will have the initiative to work independently while staying process-oriented and detail-focused - Your communication and presentation skills allow you to deliver engaging events and influence digital strategy at a practice level - You have experience using CRM tools, such as Salesforce, to manage client communications and sales cycles Compensation: At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - California, New York and Washington: $110,000 - $120,000 - All other US States: $106,200 - $115,200 Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

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 Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes 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 — $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US About the Job: LaunchDarkly is looking for a Director, People Programs, Systems & Analytics to establish operational objectives, roadmaps, work plans, and operating rhythms for People programs, systems, analytics, and AI, translating the People Operations strategy and LaunchDarkly’s priorities into executable plans. Your team will develop technical and AI-assisted capabilities while  turning workforce data into analytics and insights that allow the business to make informed decisions. This role reports to the Senior Director, People Operations. In this role you will lead a small team and establish the framework for responsible AI use regarding People data. You will partner with Legal, Security, and IT, and recommend solutions that improve reporting, employee support, and efficiency. Responsibilities: Design the vision, strategy, roadmap, governance, and operating rhythms for all People programs, systems, analytics and AI, in alignment with LaunchDarkly’s business and People priorities. Manage the orchestration and successful completion of organization wide deliverables including OKRs, annual deliverables, and key projects, acting as a visible leader and facilitator within the People organization. Lead, coach, and develop a small, high-performing team, creating clarity, strong partnerships, and a culture of thoughtful execution and continuous improvement. In partnership with the Director, People Operations, ensure that programs and operating processes across the employee lifecycle, including onboarding, offboarding, employee data, documentation, compliance-related workflows, employee support, and international operations can be optimally managed through our HR tech stack with measurable, decision-informing analytics Design and evolve the People technology ecosystem, ensuring systems are integrated, scalable, secure, fit for purpose, and aligned to the employee and business experience. Establish standards for People data quality, definitions, governance, access, documentation, and stewardship, and build trusted reporting and self-service insights for People partners and business teams. Design an analytics strategy that translates workforce data into executive-ready narratives and practical recommendations across headcount, attrition, hiring, organizational health, employee experience, and workforce planning. Define a responsible AI strategy for the People function, including use-case prioritization, governance, human oversight, and adoption of solutions that improve reporting, decision-making, employee support, and operational efficiency. Partner with the Senior Director, People Operations, functional partners, and subject-matter experts to translate capability gaps into scalable learning experiences, then measure participation, effectiveness, behavior change, business impact, and equity of access. Lead change management for new systems, programs, policies, and processes, including communications, training, stakeholder readiness, adoption, and post-launch improvement. Manage vendors, dependencies, and tradeoffs, bringing structure to ambiguity and maintaining a clear view of value, risk, and long-term scalability. Qualifications: 15+ years of experience in People Operations, including 5 years leadership across People Programs, People Systems, People Analytics, or a similarly complex function. Experience should include the selection and optimization of HRIS and Talent systems at small and medium- to large-sized companies. A track record of organization-wide project and program management, designing operating models, building roadmaps, and delivering cross-functional programs at scale. Implementation and development of comprehensive data analytics, reporting, and dashboarding tools for Human Resources and Talent organizations with knowledge and experience in AI-enablement for those functions. Experience managing and developing a team and building strong cross-functional partnerships. Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. Strong understanding of how People systems, processes, data, and employee programs fit together. Experience improving HR technology, data quality, reporting, analytics, automation, or self-service decision support. Practical experience evaluating or advancing AI use cases, with sound judgment around sensitive employee data, privacy, governance, accuracy, and human oversight. Excellent written communication, prioritization, program management, and change leadership skills. About You: You are a strategic, systems-oriented People leader who connects technology, data, programs, and human experience. You can set organization-wide direction at the program level while engaging deeply enough to understand implementation details and remove barriers. You are ambitious about innovation, pragmatic about execution, and thoughtful about risk and employee trust. You are curious about People analytics and AI and disciplined about where they should and should not be applied. You are collaborative, grounded, proactive, and committed to building scalable, equitable experiences for employees and managers. What Success Looks Like: The People team has a clear, prioritized roadmap across programs, systems, analytics and AI. The People team has stronger governance, clearer processes, more reliable data, and fewer manual or fragmented workflows. People partners and business teams have trusted, actionable insights for workforce planning and People decisions, with responsible AI use cases improving efficiency and decision support. The team is engaged, growing, and recognized as a strategic partner that delivers meaningful outcomes across the company. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - 263,670 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270 ** Zone 3: All other US locations - $ 163,000 - $224,070 ** All Zones inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote-Friendly (Travel-Required) | 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 Anthropic's go-to-market organization is growing quickly, and our most important priorities for customers and for our field rarely sit within one team. Priorities cut across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, Partnerships and more. We're looking for a strategic program manager to own these initiatives end to end. You'll start with an ambiguous ask, sometimes from a senior leader and sometimes from a signal in the data. You'll find the root cause of the problem and design a solution with subject-matter experts across the company, then drive it from strategy to planning to results to iteration. You’ll bring stakeholders along while still moving quickly to the right answer. The work ranges from large cross-functional programs to short, focused SWAT efforts on urgent questions. Success looks like making better decisions, faster, for our customers and our field. This is a strategic, highly cross-functional individual contributor role for someone equally comfortable building a business case, running a forum with senior stakeholders, getting into the data, and working directly with the field. You'll operate with high autonomy on the most critical GTM questions we face. Key responsibilities Own a portfolio of strategic GTM programs end to end, each starting from a business problem (e.g., customer activation, seller efficiency, model launches) and running from scoping through launch, operationalization, results, and iteration Act as a thought partner to Sales and GTM leaders: identify, scope, and prioritize the programs most worth doing, and say no to the rest Turn ambiguous, loosely scoped problems into structured analysis, a defensible model, and a clear plan with owners, milestones, and decision points Align and drive teams across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, and Partnerships without formal authority over any of them Engage senior executives on the status and outcomes of the most critical programs Manage change so new programs are adopted by the field, and define and report on success metrics such as adoption, time-to-value, and productivity impact Use AI tools every day to analyze, model, and build faster Create the templates, cadence, and reporting that help every future program launch well Minimum qualifications Have led complex cross-functional programs from problem definition through delivery, in strategy consulting, strategy and operations, GTM or sales programs, or program management A track record of turning ambiguous problems into clear, defensible recommendations Have driven initiatives to completion across teams you do not manage, including when senior stakeholders disagreed Analytical skills: building a business case and quantitative model, defining targets, and pulling and analyzing your own data from CRM and BI tools Clear written and verbal communication, with experience presenting analysis and recommendations to senior and executive audiences A working understanding of how an enterprise sales organization operates Have built programs or processes where none existed, and owned the outcome through to results Are motivated by Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications A background in strategy consulting followed by an in-house role where you built and ran programs and strategic projects Experience running sales or GTM programs with measured results, such as pipeline, activation, adoption, or launch programs Experience working within a sales operating cadence, such as forecast calls and pipeline reviews, Sales planning, product launches Hands-on experience using AI tools daily to work faster and more rigorously, including building workflows with Claude or similar tools Experience at a company selling technical or AI products Experience as an early hire in a new team or function 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: $270,000 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Compliance Analyst conducts day-to-day monitoring, triage, and execution of electronic communications surveillance across email, chat, messaging platforms, and digital communication channels. Working within established procedures and SLAs, this role executes high-volume alert processing, identifies potential risk indicators, and escalates non-standard cases. This role reports to the Director of Anti-Bribery, Corruption & Conduct and supports the team by leveraging AI-assisted tools and ensuring high precision in daily surveillance operations. What You’ll Be Doing Operational Surveillance & Risk Detection Execute Primary Triage: Perform daily review and triage of e-communications alerts across email, chat, text, and messaging channels within target SLA timelines. Identify Risk Indicators: Apply foundational compliance and regulatory guidelines to detect potential policy breaches, misconduct, or operational risk indicators. Maintain Audit-Ready Records: Execute precise data entry and case logging to ensure complete, compliant documentation for audit trails. Case Processing & Escalation Gather Case Context: Conduct initial background gathering and evidence collection on flagged communications to support case evaluations. Draft Clear Case Notes: Prepare structured, fact-based summaries outlining key findings for non-standard alerts requiring upper-level review. Escalate Complex Issues: Promptly escalate ambiguous, high-risk, or complex matters to senior analysts and leadership. Operational Efficiency, AI & Continuous Improvement Meet Volume & Quality Targets: Consistently hit daily output targets (KPIs) while maintaining strong precision in case evaluations. AI Tooling & Automation: Utilize AI-assisted surveillance platforms, prompt engineering, and automated workflow enhancements to streamline alert review and triage quality. Support Lexicon & Model Tuning: Identify recurring false positives and operational bottlenecks, providing feedback to help refine alert parameters and ML /AI model accuracy Drive Process Enhancement: Bring strong intellectual curiosity and a proactive mindset to continuously challenge existing surveillance workflows, proposing innovative ways to improve operational efficiency. Expand Domain Knowledge: Actively participate in ongoing training to build technical expertise across crypto regulations, market conduct rules, and emerging compliance technologies. What We Look For In You Mandarin Language Proficiency: Fluent in Mandarin (written and spoken) to support regional, cross-border, and multi-lingual e-communications surveillance across global team channels. AI & Technical Aptitude: Hands-on experience working with AI-driven compliance tools, large language models (LLMs), or automated workflow tools to enhance daily analytical tasks. Mindset & Drive: Strong curiosity and an inherent drive to continuously refine processes, automate repetitive tasks, and elevate overall team performance. Analytical Skills: Strong attention to detail with the ability to synthesize unstructured text data, spot nuances, and present concise findings. Education / Experience: BA/BS in Finance, Law, Business Administration, or a related field (or equivalent practical experience). Nice to Haves Prior exposure to specialized e-communications surveillance software (e.g., Smarsh, Behavox, Relativity) or lexicon/keyword monitoring tools. Understanding of market abuse indicators, insider trading, or conduct risk concepts within financial services or digital assets. Background in crypto, digital assets, Web3, or multi-lingual operational support. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $53,000 - $79,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production. What you will do - Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods. - Improve how agents plan, use tools, manage execution, and recover from errors. - Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures. - Generate and curate training data, including agent trajectories and difficult cases from target workflows. - Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks. - Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method. - Experience building agent systems involving tool use, multi-step execution, and error recovery. - Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost. Nice to have - Reward modeling or verifier-based training. - Long-context training, memory systems, retrieval, or context compression. - Distributed training or high-performance LLM serving. - Experience delivering agents for complex enterprise, coding, or research workflows. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Poland Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve how our language models work for Polish users. You will measure quality on real product tasks, build Polish-language data and evaluations, and improve models where the results show gaps. Your work will help us understand which Polish-language use cases are ready for launch. The methods you build should also be useful as we expand to other languages. What you will do - Define priority Polish-language use cases and quality targets with Product and go-to-market teams. - Measure current model quality in Polish and investigate errors in language use, terminology, and user tasks. - Build Polish-language datasets and evaluations, using native-speaker review where needed. - Improve model quality through better data, fine-tuning, post-training, or other adaptation methods. - Set up regression tests, quality checks, and monitoring for Polish-language model updates. - Use evaluation results and market feedback to identify remaining gaps and recommend next steps. What you will need - 3+ years of hands-on ML or NLP engineering experience, including work on a non-English or multilingual system in production. - Strong Python skills and experience with PyTorch, JAX, TensorFlow, or a similar ML framework. - Experience building evaluations that reflect real user tasks and combine automatic metrics with human review. - Experience preparing and checking language datasets and building reliable data pipelines. - Hands-on experience fine-tuning, post-training, or adapting NLP or LLM models and measuring the results. - Strong software engineering and production ML skills, including model versioning, regression testing, and monitoring. Nice to have - Professional working proficiency or native-level fluency in Polish. - Experience improving an AI or NLP product for a new language or market. - Research or open-source work in multilingual NLP or model evaluation. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

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 is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization. The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders. Key responsibilities Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration Create streamlined processes for rapid evaluation and execution of technical talent acquisitions Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams Drive post-transaction integration efforts, ensuring successful realization of strategic objectives Develop financial models and valuation analyses to support investment decisions Present strategic recommendations to executive leadership and board members Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers Minimum qualifications Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent) Demonstrate exceptional analytical and financial modeling skills Have experience leading complex M&A transactions or strategic partnerships in technology sectors Excel at building relationships and can effectively engage with technical and business stakeholders Are comfortable operating in fast-paced, ambiguous environments with competing priorities Possess outstanding communication skills, both written and verbal, with ability to influence at all levels Have a deep interest in AI safety and alignment with Anthropic's mission Preferred qualifications Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies Have direct experience in AI/ML companies or deep learning research environments Bring an established network within the AI startup ecosystem and venture capital community Have led post-merger integration efforts or built new business units from the ground up Possess an MBA or advanced technical degree Have experience negotiating complex strategic partnerships with major technology companies Demonstrate a track record of identifying and executing transformational opportunities Show experience with international expansion or cross-border transactions 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. THE ROLE, IN A NUTSHELL: We’re looking for a highly motivated strategic partner/business development professional (VARs) who has strong market knowledge, a cloud and security network, and enjoys building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer. WHAT YOU'LL DO: Own and deliver partner-sourced and partner-influenced pipeline and revenue outcomes across a portfolio of assigned VARs and Regional System Integrators, with clear accountability for contribution to overall bookings Drive consistent pipeline creation through joint prospecting, partner-led opportunity identification, and co-selling motions with aligned field sales teams Improve partner attach rates by enabling partners to position Chainguard as a core component of their security, cloud-native, and modernization offerings Accelerate deal velocity and win rates by ensuring partners are effectively enabled, engaged early in the sales cycle, and aligned to customer use cases Identify, recruit, and prioritize high-performing partners that demonstrate sustained investment in Chainguard through sales focus, technical enablement, and go-to-market execution Execute joint business planning with partners, including pipeline targets, solution focus areas, enablement milestones, and marketing initiatives, and track progress through quarterly and annual business reviews Drive measurable progress in partner readiness metrics, including certifications, solution validation, demo capability, and delivery confidence Increase partner-driven demand generation impact through joint regional marketing campaigns, events, and field activities, with clear attribution to pipeline creation and opportunity progression Maintain strong forecast accuracy and pipeline hygiene by managing partner opportunities in SFDC and related tools, ensuring visibility into sourced, influenced, and co-sell deals Partner cross-functionally with sales, solution engineering, marketing, and partner operations to remove friction, improve execution efficiency, and scale partner success WHAT WE'RE LOOKING FOR: 5+ years of software channel manager experience required Experience working with and through VARs Successful sales background required having carried and overachieved quota Startup experience a plus Entrepreneurial self-starter, who knows how to structure and breakdown ambiguous problems into executable steps Strong verbal and written communication including high level of comfort with public speaking and excellent presentation skills Excellent interpersonal skills with the ability to build rapport with a variety of groups Team player and ability to work independently Strong technical aptitude Data, metric-driven Base Salary Range $145,000 — $170,000 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

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 We are seeking a Strategic Finance Lead to provide finance leadership for our network infrastructure. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to optimize our networking investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of networks, from the monthly cost of connectivity and colocation to the long-range planning of fiber and data center builds. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for network capex and opex, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for network infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop expertise in connectivity, colocation, and equipment contracts, pricing structures, and cost drivers, and surface optimization opportunities Subject matter expert on Anthropic’s network buildout, source of truth and plan of record Support the implementation and management of financial planning and procurement tools, ensuring our models and processes scale with the organization Analyze the economics of build, lease, and service options for network capacity, including ROI across dimensions like term, route, and ownership, and distill into actionable framework for capacity planning and deployment Partner closely with network engineering teams to understand how capacity, lead times, and site readiness scale, and translate those technical dynamics into financial frameworks Minimum qualifications Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in network, telecom, or large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with telecom, datacenter, or network infrastructure experience 3+ years of experience specifically in network infrastructure financial management Experience working directly with major carriers, colocation providers, or hardware vendors MBA or other advanced degree in finance, economics, or business Expertise in connectivity, equipment, or lease economics, contract structures, and pricing models Experience with capital project or long-lead equipment economics Proficiency with financial modeling tools and languages (SQL, Python, Excel) Experience building a computer, homelab, or home network from scratch 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: $240,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a hands-on Security Engineer with strong application security fundamentals and a track record of finding and fixing real vulnerabilities. You’ll own bug bounty programs and external audits, secure our code and software supply chain, and build tooling that protects Mysten’s products and users across the Sui ecosystem. Responsibilities - Run Mysten's bug bounty programs: triage, severity, responses, internal escalations, fix validation, and the budget and payouts. Turn recurring report classes into automated checks. - Own audit engagements: scope and schedule external audits, act as the technical counterpart during the engagement, and track findings through remediation and fix validation. - Conduct code and design reviews of systems built by Mysten, its subsidiaries and partners (Rust, TypeScript, Move). Drive issues to conclusion, including investigation and incident response, and run variant analysis so each bug class is closed everywhere it occurs. - Own software supply chain security: dependency and CI/CD malware defenses, Endor Labs, the code security service (GitHub controls, merge bots), and the ongoing code security self-auditing service. Detect and respond to compromised packages, maintainers and build pipelines, and secure the provenance and signing of what Mysten ships. - Build and improve anti-scam and anti-abuse tooling for the Sui ecosystem: detect phishing sites, malicious dApps, drainer contracts and other threats that target Sui users, and work with wallet teams on mitigations. - Build security tooling: LLM-driven triage and review agents, and static and dynamic analysis (taint, call graphs, fuzzing) wired into CI and code review. Build in known-clean checks so people trust the results.   MINIMUM QUALIFICATIONS - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 3+ years of hands-on experience in security engineering, application security or product security, with a track record of finding real vulnerabilities (bug bounty reports, audit findings, CVEs or published research). - Strong Web2 security fundamentals: XSS, CSRF, SSRF, authorization flaws, injection, deserialization, software supply chain failures, cryptographic failures. - Proficiency in one or more of Rust, TypeScript, Python or Move, and experience reviewing and writing security-sensitive code. - Hands-on knowledge of software supply chain attack surface: package ecosystems (npm, crates.io http://crates.io, PyPI), CI/CD (GitHub Actions workflow injection, token exposure, unpinned actions), and build provenance. - Solid understanding of applied cryptography fundamentals and the common ways cryptographic systems are misused in practice. - Experience on either side of a bug bounty program or an audit engagement. - Strong written and verbal communication, including the ability to influence teams you have no formal authority over. - Interest in the web3 space is required.   PREFERRED QUALIFICATIONS - Smart contract or wallet security: Move, Solidity or Rust-based chains; Sui's object and capability model is a plus. - Static or dynamic program analysis: CodeQL, Semgrep, taint analysis, fuzzing, symbolic execution. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Anti-phishing, anti-fraud or trust & safety experience: domain and content monitoring, crawling, classifiers, threat intelligence. - Knowledge of recent crypto incidents and the defect classes behind them: drainer kits, DeFi frontend compromises, package-registry compromises. - Notable bug bounty rankings, CVEs, publications or conference talks. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Location- Chicago, Illinois An overview of this role As a Strategic Account Executive for the Chicago area, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on enterprise accounts, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, create repeatable sales motions, and consistently forecast and report on deal progress and account health. What you'll do Drive strategic growth by leading GitLab's enterprise accounts across Chicago, serving as a trusted technology advisor to industry leaders in your territory. Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions. Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives. Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories so you can position GitLab as their indispensable technology ally. Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing strategic accounts. Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle. Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights that refine our go-to-market approach. Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab. What you'll bring Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Background selling into large, enterprise accounts in Chicago, United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams. Knowledge of Chicago enterprise market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network. Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships. Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption. Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure. Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on Chicago, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the Chicago region. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $114,800 — $172,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role: We believe technology will play a critical role in enabling the next generation of cash delivery operations: from identifying recipients without needing to knock on doors to a modern payments infrastructure that gets dollars in recipients’ hands faster and more scalable. We are seeking a Technical Program Associate responsible for implementing and managing the technology used across our programs - including systems for recipient data collection, verification, payments, and monitoring. In this role, you will own all technology-related aspects of new project launches: working with our operations team to define and implement program requirements, project managing the implementation across multiple stakeholders, and analyzing, structuring, and acting on program data. You are a systems thinker who is comfortable assessing tradeoffs and deriving and communicating data-driven insights. You enjoy learning about technology in a variety of business contexts. You naturally take ownership, can navigate unfamiliar settings, and enjoy both building and managing ops. You can excel at both 10,000 feet as well as in the weeds of complex problems. Reports to: Senior Technical Program Manager Level : Open to Associate or Manager, depending on the candidate. We would rather find the right person than fill a predetermined level. A candidate with deeper experience, stronger technical skills, and the judgment to run their own projects and think critically and propositionally on project designs will be brought in at the higher end, with correspondingly more independence. Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please also note that regardless of location, we expect 3 hours of daily overlap with the East Africa timezone. Travel Requirement: Must be able to travel ~1-2 times per year to one of our countries of operation for team retreats or field visits. What you’ll do: Manage end-to-end technical delivery for program launches - leading scoping, requirements gathering, system configuration and implementation, QA and testing, troubleshooting, and closeout Collaborate with Operations, Product, Research, Engineering, and Data teams to ensure systems are aligned with program objectives and work seamlessly in field conditions Debug and resolve issues across multiple layers of our technology stack, including our recipient database and offline survey app Scope and manage cross-cutting systems improvements to improve efficiency, scale, and/or recipient experience, with mentorship Ensure all systems comply with GD’s standards for data protection, privacy, and financial controls Manage technical training and onboarding for operations staff and collaborators Lead retrospectives on program launches and technical incidents to contribute to continued system improvements What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Language Requirement: fluent in English. 3+ years of professional experience; we welcome a wide range of relevant backgrounds (e.g. project management, product management, data analytics, international development, management consulting) Strong data skills: able to leverage tools to extract, clean, manipulate, and analyze data to make operational decisions. Strong project management experience: experience in managing timelines, stakeholders, and complex deliverables. Deep comfort with Microsoft Excel/Google Sheets. Intermediate experience using a programming or scripting language (most commonly Python at GD) to automate workflows, validate data, or implement business logic. Note: This is not an engineering or data science job. Significant interest in technology, systems design and building. High attention to detail and strong instincts for analysis and validating data creatively and rigorously. Structured approach to problem-solving and a drive to uncover and fix root causes rather than surface-level issues. Ability to collaborate inclusively with stakeholders across varied social, national, and cultural backgrounds, including communicating technical concepts to both technical and non-technical stakeholders. Preferred, not required : Experience working with relational databases (e.g. SQL). Preferred, not required: Proficiency in one or more languages spoken in the countries where GiveDirectly operates (e.g Swahili, French, Portuguese). These skills are beneficial for working directly with field teams and understanding recipient experience. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . The total compensation for this role at the Associate and Manager level is broken down below. If you are based outside of the US or Kenya, specific compensation details can be provided during the initial recruiter screen. Associate-level Base salary: US $92,400 ·  UK £56,800  · KE $52,400 Bonus target: 10% Manager-level Base salary: US $107,070 ·  UK £70,250 · KE $72,550 Bonus target: 10% Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Remote Workplace: Remote We are looking for an experienced Senior Game Mathematician to take a leading role in developing mathematical models for an in-house slot game portfolio. The position combines advanced game mathematics, statistical modelling, and simulation with the opportunity to influence the technical foundations of math development. Beyond creating and balancing game mechanics, you will contribute to the evolution of internal simulation tools and mathematical frameworks, working closely with game designers, producers, and engineers. Responsibilities - Take full ownership of slot game mathematics, developing models from initial game concepts through balancing, testing, and regulatory certification - Create and fine-tune mathematical configurations for different slot formats, including reel-based, ways/Megaways, cluster pays, grid games, jackpots, and feature buy mechanics - Define and optimize key game parameters such as RTP, volatility, hit frequency, maximum win, payout distribution, and bonus contribution, ensuring alignment with gameplay and product objectives - Develop and adjust reel strips, paytables, symbol distributions, free spins, multipliers, cascades, bonus features, and progressive mechanics, including multiple RTP configurations and ante bet options - Perform large-scale Monte Carlo simulations, validate theoretical and simulated RTP, and evaluate statistical reliability through variance analysis, confidence intervals, and convergence testing - Prepare mathematical documentation, including PAR sheets, RTP calculations, and supporting materials required for independent testing and certification - Contribute to the design and continuous improvement of an internal math development and simulation framework, participating in architectural discussions, technical reviews, and implementation - Evaluate live game performance data, identify potential improvements, and provide mathematical recommendations for existing and upcoming releases - Partner with producers, game designers, and developers to assess new mechanics, balance gameplay experience, and address mathematical or technical risks - Help establish consistent math development standards, share technical knowledge, and support the professional growth of other mathematicians Requirements - 5+ years of professional experience in slot game mathematics within a game provider or development studio, rather than an operator - Track record of at least 10 commercially released slot titles, preferably including games with demonstrated market success - Extensive knowledge of probability, combinatorics, and statistical modelling, with the ability to apply these principles to complex slot mechanics - Proven ability to build complete mathematical models around defined targets, including RTP, volatility, hit rate, maximum exposure, payout distribution, and feature contribution - Practical expertise in balancing different slot formats and mechanics, including Megaways, cluster pays, grid slots, bonus buys, jackpots, free spins, multipliers, and cascading features - Strong understanding of reel and paytable configuration, bonus buy and ante bet mathematics, and multiple RTP variants, with the ability to balance feature frequency, payout sizes, and overall player experience - Advanced experience in mathematical validation and high-volume simulations, including analytical RTP verification, Monte Carlo methods involving billions of spins, variance analysis, confidence intervals, and convergence assessment - Familiarity with gaming certification standards and testing procedures, including requirements associated with GLI, BMM, eCOGRA, iTech Labs, and preparation of mathematical reports and PAR sheets - Ability to independently manage mathematical development throughout the complete game lifecycle, from initial design to final certification - Degree in Mathematics, Applied Mathematics, Statistics, Physics, or a related discipline, preferably at Master's level or above - Previous involvement in building or improving proprietary slot math engines or simulation frameworks - Knowledge of mathematical optimization techniques, including genetic algorithms, simulated annealing, and linear programming, for automated adjustment of reels and paytables - Experience designing mathematical models for crash games, instant-win products, or other alternative gaming formats - Understanding of the interaction between mathematical models, game clients, and backend systems - Fluent English for technical documentation, collaboration with international stakeholders, and communication with testing laboratories or regulators - Strong communication skills, with the ability to translate complex mathematical concepts into practical explanations for non-mathematical colleagues - Willingness and ability to mentor junior and mid-level mathematicians and contribute to knowledge sharing within the team Would be a plus - Proficiency in at least one programming language: Python, C++, C#, Rust, Java, or Go - Experience developing high-performance simulation software, including multithreading, performance optimization, and large-scale data processing - Familiarity with Git, automated testing, and code review practices, as well as software architecture principles such as modularity, well-defined interfaces, and deterministic simulation results - Contributions to industry research, professional publications, conferences such as ICE, SiGMA, or G2E, or relevant technical communities What's in it for you - Opportunity to contribute to the development of innovative iGaming products and influence key technical decisions - Work on challenging projects involving advanced game mathematics and simulation technologies - Opportunities for professional development and career growth - Collaboration with experienced professionals in a supportive, knowledge-sharing environment

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. Webflow is looking for a Lead Platform Engineer, Identity & Access to own how our workforce, devices, and automations authenticate and get access to what they need. Okta is our primary identity platform, and you’ll take it from a tool that works to a platform that is deliberately architected, governed, and easy to build on. You’ll partner extensively with Security on policy, risk, and detection, bringing the engineering depth to turn their requirements into systems that run reliably. Making access safe by default without slowing people down is the central challenge of the role. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $232,000 - 290,000 - Zone B: $217,600 - 272,000 - Zone C: $204,800 - 256,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Senior Director, Information Technology AS A LEAD PLATFORM ENGINEER, IDENTITY & ACCESS, YOU’LL: - Own the identity architecture and roadmap for workforce identity, with Okta as the core platform, including build versus buy decisions - Bring our Okta tenant under proper management, with configuration standards, hardening, change control, and configuration as code (Terraform, APIs, Okta Workflows, or scripts where the platform falls short) - Automate the identity lifecycle from joiner to leaver, using our HRIS as the source of truth and SCIM to downstream applications - Build paved roads for application onboarding, including standard SSO patterns, provisioning templates, and federated access to our cloud and source control platforms, so app owners can integrate without platform team involvement - Design the access model: role based access control (RBAC), least privilege, request and approval workflows, and access reviews, with tooling that answers “who has access to what, and why” and produces audit evidence automatically - Strengthen how access is granted through phishing resistant MFA, device trust and risk signals, and governed non human identities (service accounts, tokens, OAuth grants, and AI tools and agents), and stream identity telemetry to Security for detection and response - Serve as the top escalation point and primary responder for identity incidents and outages should they arise, including on call coverage for critical identity services, post incident reviews, and log analysis with Security - Manage the Okta vendor relationship, licensing, and cost ABOUT YOU: REQUIREMENTS: - Minimum of 8 years in identity, platform, or infrastructure engineering, including ownership of a workforce identity platform at meaningful scale - Deep hands on experience architecting an enterprise identity provider, with Okta strongly preferred - Fluency in SAML, OIDC, OAuth 2.0, and SCIM, including debugging at the token and assertion level - Experience with identity governance, including RBAC design, HRIS driven lifecycle automation, and meeting audit requirements - Strong grounding in Zero Trust and identity based attacks, including device trust and the security of non human identities - Scripting ability (Python, JavaScript, or similar) and infrastructure as code experience, such as Terraform - Clear communication with senior and executive audiences, including driving architecture decisions - Nice to have: experience governing identities for AI tools and agents, and Okta certifications You’ll thrive as a Lead Platform Engineer, Identity & Access if you: - Design like an attacker, asking how every control could fail or be abused, and respect that one policy change can lock out the whole company - Get results with Security, HR, and application owners through influence, not authority - Care as much about adoption as correctness - Bring order to an under managed environment without waiting for a perfect plan - Use AI tools with good judgment - Are comfortable as the lead identity expert, mentoring others and setting the standard - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.