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Location: United States; Phoenix; Seattle; California; Denver Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States. In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory.. We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As an Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations. - Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally. - Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas. - Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors. - Established regional network, including state and local departments and agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences - Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%). Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates The Rig Liaisonman acts as the primary link between the drilling rig site, the Drilling & Technical Department (DTD), Saudi Aramco representatives, and the contractor. The position is responsible for coordinating rig activities, monitoring operational performance, ensuring compliance with approved drilling programs and Saudi Aramco requirements, and facilitating timely communication and resolution of operational issues. Key Responsibilities Serve as the main liaison between the rig site, DTD, Saudi Aramco representatives, and drilling contractors. Coordinate daily drilling and rig-related activities with relevant departments and stakeholders. Monitor rig operations to ensure compliance with approved drilling programs, procedures, safety standards, and client requirements. Review and communicate daily drilling reports, operational updates, equipment status, and performance information. Follow up on rig activities, operational challenges, equipment issues, and required corrective actions. Coordinate with drilling engineers, rig management, wellsite supervisors, service companies, and other stakeholders. Escalate operational, technical, safety, and schedule-related issues to the appropriate DTD personnel. Assist in ensuring that drilling operations remain aligned with the approved program and project schedule. Track the status of rig moves, rig readiness, equipment availability, maintenance requirements, and operational priorities. Support coordination of logistics, materials, personnel, services, and other resources required for rig operations. Participate in meetings, operational reviews, coordination meetings, and incident investigations when required. Maintain accurate records and provide regular updates to DTD management. Requirements Bachelor’s degree or diploma in Drilling Engineering, Petroleum Engineering, Mechanical Engineering, or a related discipline ; or equivalent relevant experience. Typically 8–15 years of experience in drilling and rig operations , preferably in the oil and gas industry. Previous experience working with Saudi Aramco operations or Saudi Aramco-approved contractors is highly preferred. Strong knowledge of land rig operations, drilling activities, wellsite coordination, and oilfield services. Experience liaising with drilling contractors, service companies, client representatives, and technical departments. Familiarity with Saudi Aramco safety, operational, and reporting requirements.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you. In this role, you will: Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education You may be a good fit if you: Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end Hold an active CPA license Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Strong candidates may also: Have deep, practitioner-level expertise in one or more of the following: Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes) Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards. You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage. The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work. Key responsibilities Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off Work directly in research codebases, improving reliability and structure without slowing down the research they support Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on Experience working productively in large, evolving, or research-style codebases that you didn't originally write Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines Experience building or operating large-scale distributed systems Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing or dataset lifecycle management Experience designing plugin systems or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams, including successfully handing off systems for others to own Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams Prior experience as a technical lead, or setting engineering standards for a team Prior experience maintaining an open source project Representative projects These are examples of the challenges the team tackles; no one person will work on all of them: Design a base RL environment abstraction general enough to be subclassed across a wide range of environments Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks Design probes that catch sandbox regressions early Design the lifecycle and maintenance scheme for a production dataset Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs Build the access layer that lets researchers discover and reuse data artifacts across teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification. Key responsibilities Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally Own the platform layers that sit beneath every environment, including the agent runtime Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues Drive adoption of new frameworks across the organization, including deprecations and cutovers Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct Experience working productively in large, evolving, or research-style codebases that you didn't originally write Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing, dataset lifecycle management, or data lineage systems Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead Representative projects These are examples of the challenges the team tackles: Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves 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: $405,000 — $605,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Senior Architect for Emerging Technologies Experimentation Team. About the job This position is needed to drive next-generation innovation by designing, prototyping, and implementing forward-looking technical solutions for Twilio’s innovation team. As an Sr Architect, you’ll leverage your depth of technical knowledge, architectural vision, and leadership to pioneer transformative ideas. This high-impact, entrepreneurial role empowers you to shape the future of Twilio, experiment with emerging technologies, and directly influence our trajectory in a competitive tech landscape. You will be the bridge to guide technical decisions that ensure our experiments can be quickly moved to production, if successful. This role is accountable for ensuring they understand Twilio’s enterprise architecture and can help ensure scalability, extensibility in our technical design as well as call out one way door decisions when defining architectures. Welcome to Twilio's Experimentation Team , the incubation lab where we push boundaries, unlock next-era growth, and turn the once-unimagined into reality. As part of our Emerging Tech team, you will pioneer Horizon-3 initiatives that fundamentally redefine how humanity interacts with artificial intelligence. From launching Ola, the world’s first agent-native communication channel, to engineering the ground-breaking Agent-to-Human (A2H) protocol, we are actively building the control room for the autonomous future. If you are a builder driven to disrupt the status quo, reimagine what’s possible, and engineer what comes next, your journey starts here. Responsibilities In this role, you'll: Architect and prototype scalable, high-performance solutions using modern technologies. Experiment and iterate on new product ideas, leveraging AI, machine learning, and emerging tech. Lead technical direction, guiding and mentoring engineering teams throughout the development lifecycle. Partner cross-functionally to align prototypes with business opportunities and strategic goals. Mentor a group of software development engineers across US and India Communicate technical vision and results clearly to stakeholders and executive leadership. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 15+ years in architecture or principal engineering roles within innovative, fast-paced environments. Applied fraud detection and governance framework experience. Familiarity with AI, machine learning, and LLMs with experience deploying models or AI-driven projects. Demonstrated success designing large-scale, high-performance architectures across AWS & Azure. Strong leadership and mentoring skills, with proven ability to drive technical direction. Excellent communication skills for both technical and non-technical audiences. Proficiency in multiple programming languages (e.g., JavaScript, Python, Java, Go). Experience with both front-end (React, Angular) and back-end (Node.js, Spring, SpringBoot) development. Deep understanding of database technologies (SQL and NoSQL) and their tradeoffs. Desired: Experience contributing to open source or tech innovation communities. Track record of rapid prototyping and iterative product development. Exposure to distributed systems and high-reliability platforms. Knowledge of risk management best practices in experimental projects. Experience working with global teams and remote-first environments. Entrepreneurial mindset with a passion for emerging technologies. Advanced problem-solving skills with ability to anticipate technology trends. Background in engineering and technical architecture roles. Location This role will be remote and based in the United States. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $284,320 - $355,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080 -- $365,100. Based in the San Francisco Bay area, California: $324,480 - $405,600. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until January 1 2027 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board. You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed. Responsibilities Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage Create exec-support runbooks and SLAs that keep the service consistent as it grows Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them Establish the board member device, account, and access setup process with our Onboarding lane Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage Participate in the Core on-call rotation and contribute to the knowledge base and runbooks Maintain a regular on-site presence in San Francisco You may be a good fit if you have 7+ years of experience in IT support and 3+ years in executive support Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service Experience supporting executives, their assistants, or a board to a white-glove standard A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure Composure when an urgent escalation lands, and the judgment to know when to pull in help High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work A security-first mindset and excellent judgment about when user experience yields to security requirements Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work The instinct to write things down: runbooks, KB articles, and status updates that keep people informed Nice to have Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements AV depth beyond first response, such as broadcast, live events, or room design input Experience building runbooks, self-service content, or support automation Experience supporting AI/ML research environments or highly technical user bases Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Göppingen, Germany; München, Germany; Berlin, Germany Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for an analytical and business-oriented Compensation & Benefits Manager to help shape, govern, and continuously develop our global compensation and benefits landscape. In this highly visible role, you will own key global compensation frameworks, including salary structures, the annual salary review process, company bonus calculations, incentive offerings, and pay transparency initiatives. You will partner closely with our CHRO, HR Business Partners, Finance, Employer Branding, and business leaders worldwide to ensure our compensation and benefits practices remain competitive, fair, scalable, data-driven, and aligned with TeamViewer’s business objectives. If you enjoy working with data, designing practical reward solutions, influencing strategic decisions, and continuously improving global people programs, this role offers an exciting opportunity to make a meaningful impact. Global Salary Structures & Compensation Strategy: Own the design, governance, maintenance, and continuous development of global salary structures and compensation frameworks, leveraging market benchmarks and analytics to support informed, consistent, and scalable decision-making. Pay Transparency & Gender Pay Gap: Drive initiatives related to pay transparency and gender pay gap analysis, ensuring fair and equitable compensation practices while supporting regulatory compliance. Annual Compensation Review: Lead the annual salary review process globally, including planning, budgeting support, governance, communication, and execution. Incentive Design & Reward Offerings: Develop and enhance incentive and reward offerings in close collaboration with HR Business Partners, business leaders, and Employer Branding, ensuring they support business needs, talent attraction, retention, and employee engagement. Company Bonus: Manage company bonus calculations and support the administration of short-term incentive programs with accuracy, consistency, and transparency. Compensation Analytics & Reporting: Develop reports, dashboards, and analyses for senior management, Finance, and HR stakeholders to support strategic workforce and compensation decisions. Communication, Change Management & Total Rewards Positioning: Develop and implement communication strategies and materials related to compensation, benefits, and reward offerings, partnering with Employer Branding and Talent Acquisition to strengthen the positioning of TeamViewer’s total rewards offering for employees and candidates. Project Management: Support and lead compensation-related projects, process improvements, and transformation initiatives within the broader HR organization. Benefits & Broader Total Rewards: Support the review, harmonization, and continuous improvement of benefits and broader total rewards offerings across countries, ensuring alignment with market practice, employee needs, and business priorities. Cross-Functional Collaboration: Act as a trusted partner to the CHRO, HR Business Partners, Employer Branding, Finance, and other key stakeholders globally. Continuous Improvement: Identify opportunities to simplify, automate, and improve compensation & benefit processes, reporting, and governance structures. Requirements University degree in Business Administration, Human Resources, Finance, Economics, or a related field. Several years of relevant professional experience (typically 5+ years) in Compensation & Benefits, Rewards, HR Controlling, or a comparable analytical HR function. Strong knowledge of compensation principles, benefits, broader total rewards, global salary structures, salary benchmarking, incentive design, and market practices. Experience managing annual compensation review cycles and bonus processes in an international environment. Knowledge of pay transparency, equal pay, and gender pay gap topics is highly desirable. Excellent analytical and conceptual thinking skills with the ability to translate complex data into actionable insights. Advanced Excel skills and strong affinity for data analysis and reporting. Experience with HRIS, compensation planning, and reporting tools is an advantage. Strong stakeholder management, communication, and influencing skills across all organizational levels. Experience translating compensation and total rewards offerings into clear, engaging communication for employees, candidates, and internal stakeholders is an advantage. Self-driven, structured, and proactive working style with a passion for continuous improvement and innovation. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Premiums for the private pension plan ( BAV ) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Option to lease an e-bike (Germany only) Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer / Software Developer (React Native) Build what’s next for players. We’re a startup inside Sony PlayStation. Fast-moving, experimental, and highly ambitious. Backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to design at startup speed and drive huge impact inside the largest gaming company in the world. We are seeking a Senior Software Engineer / Software Developer specializing in React Native and high-performance frontend development for mobile platforms. In this role, you will define the architecture, frameworks, and technical best practices. You will collaborate closely with engineers, product, and design teams to deliver best-in-class user interfaces that are performant, accessible, and delightful at scale. As a Senior Engineer, you will provide technical leadership across teams, mentor engineers, and push the boundaries of what’s possible in cross-platform frontend development. Responsibilities Define and evolve the frontend architecture for client applications on mobile using React Native and modern JavaScript/TypeScript. Drive performance optimizations and best practices for rendering, startup time, and UI responsiveness. Design and integrate custom native modules (Native Android or Native iOS) and optimize cross-platform interoperability. Partner with product managers, designers, and researchers to translate user experience requirements into elegant, maintainable solutions. Establish coding standards, testing strategies, and development patterns that raise the quality bar for frontend engineering. Mentor engineers and act as a multiplier for frontend development expertise across the broader team. Investigate new frontend technologies, frameworks, and performance techniques, and guide their adoption when appropriate. Represent frontend/OS needs in technical and architectural discussions. Requirements 5+ years of software development experience, with significant experience building React Native apps or high-performance JavaScript/TypeScript applications. BS/MS degree in Computer Science or equivalent. Expertise in native Android development (Kotlin/Java/Gradle) and shipping applications to the Google Play Store. Strong expertise in frontend performance profiling, optimization, and debugging. Passion for delivering world-class user interfaces with exceptional performance. Deep understanding of cross-platform architecture and how to bridge between JS and native modules. Proven track record of delivering production-quality mobile or desktop applications with React Native. Experience designing scalable frontend architectures and reusable UI frameworks. Strong collaboration skills and ability to work closely with native engineers, designers, and product managers. Demonstrated technical leadership: leading projects, mentoring engineers, or setting engineering strategy. Bonus A track record of building social, community, gaming, or other consumer products. Familiarity with VoIP, call dialing and ringing flows in Android/React Native Experience with accessibility, internationalization, and UI testing frameworks. Familiarity with CI/CD pipelines and modern build systems for frontend development. Previous experience at an early-stage startup or on a zero-to-one product team. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $141,900 — $212,900 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Platform Storage is a core platform engineering team specializing in stateful infrastructure (PostgreSQL/RDS, Kafka (MSK), MongoDB, DynamoDB, and Elasticache/Valkey) for Fanatics Betting & Gaming. We own database and streaming reliability for dozens of product engineering teams, acting as both platform builders and embedded technical partners. Our core toolset is Python, Terraform, and SQL, with a focus on self-service tooling, GitOps managed infrastructure, and hands-on ownership of production systems. About the Role Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our core platform infrastructure,  including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform,  and acts as the embedded platform liaison for the product teams built on top of them. As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go to technical resource for schema design, query performance, and incident response across the teams you support. Responsibilities Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them. Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability. Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue. Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet. Act as the technical escalation point for cross-team incidents where the root cause traces back to shared platform infrastructure (replication lag, connection exhaustion, CPU/throughput issues). Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts. Mentor engineers and participate in on-call rotations. What You Bring Strong, hands-on Python — a primary tool of the role, not incidental. 5+ years using Python day-to-day is a strong signal. 8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on experience operating and running PostgreSQL (RDS) in production at scale — this is an infrastructure-ownership role, not an application-development role that happens to use Postgres. Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines. Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of. Working knowledge of Infrastructure as Code (Terraform). Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system. Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support. Nice to Have Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure. MongoDB or DynamoDB operational experience. Experience with pgbouncer, connection pooling, and query-level performance diagnostics. Prior work on platform cost optimization initiatives at multi-cluster scale. Exposure to regulated or high-availability environments (gaming, fintech, or similar). Who Thrives Here Operates with a high degree of autonomy and ownership, leading complex initiatives with limited direction. Comfortable influencing without authority and driving technical clarity in ambiguous problem spaces. Communicates effectively across regions and time zones (US, UK, Ireland). Cares about platform reliability, developer experience, and long-term system health. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $172,800 — $216,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Los Angeles, USA; Mercer Island, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability. The Core Game Loop owns services that power the player experience while they are in game and deliver data to downstream services after a game is completed. This includes game provisioning, game data delivery, and services that power leaderboards and match history. By concentrating expertise in game platforms, we are able to offer robust, scalable features to all current and future Riot games. As a Manager, Software Engineering on the Core Game Loop team,  you will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You'll identify opportunities to centralize functionality and architect solutions that enable scalability and reliability worldwide. You will report to the Senior Engineering Manager of the Game Foundations org within the Publishing Platform. Responsibilities Manage a team of 5+ software engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Game Foundations org to align on the plan the team executes against Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results Own the interviewing and onboarding process for new engineering team members Be accountable for the technical health of the products owned by the team Stay hands-on with the team's tech, overseeing the technical design, and deliverables of the team and working with the team's technical leadership Regularly engage with the codebase by participating in code reviews and non-critical tasks Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration Own and operate live services, meeting reliability expectations, handling emergent issues, and supporting engineers during on-call troubleshooting Required Qualifications Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience 5+ years experience as a Software Engineer, preferably on technical product teams that build tooling for services and APIs 2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead Experience managing engineers and actively participating in their growth and development Experience recruiting candidates and growing an engineering team Experience with distributed systems, microservices, and software at a high scale Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting Desired Qualifications Experience building services using Java, Kotlin, or Go Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible) Experience with CI/CD pipelines (such as GitHub Actions, Jenkins) Experience with relational databases (such as MySQL) and key value stores (such as Redis). Experience with queuing or stream-processing platform (such as Kafka) For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Oakland, California, United States, AMER; USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design. This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another. This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership. What you'll do Lead the dbt product design team You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft. Own UX strategy for dbt You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations. Provide design direction for technical data products You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences. Shape AI and agentic product experiences You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas. Help integrate Fivetran and dbt Labs design You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution. Build an AI-native design operating model You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement. What we're looking for Required experience You have 8+ years of product design experience and at least 5 years managing product designers. Strong people management skills, including coaching, performance development, direct feedback, and team culture building. Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders. Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer. Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products. Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow. Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale. Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens. Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners. Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $201,765 — $252,206 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: 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 As our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence,   and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve. Responsibilities Land our mission and differentiation. You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date. Ensure internal and external readiness. You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its marketplace and co-sell mechanics actually work. Internally, you'll enable Anthropic’s field team to be aware of products and programs and effectively engage CSP partners. Connect the field to the content. You'll pair internal assets with what our GTM team are hearing in customer conversations, and turn that traction into co-sell plays and assets the next hundred sellers can use without anyone from our team in the room. Measuring Impact. You'll define the signals that connect this work to partner-sourced pipeline, deal velocity, and seller engagement, watch what's actually changing seller behavior, and adjust based on what you see. You may be a good fit if you have A working understanding of how Cloud Service Providers go to market Deep understanding of what motivates sellers, and how to land a message so it gets retained A track record of taking a narrative or asset to scale through channels you don't own, and showing what changed because of it Excellent program management skills, a systems mindset, and comfort operating in ambiguity against a fast launch cadence Experience pairing marketing and enablement content with field feedback to build plays, assets, and/or repeatable programs for internal and external teams A background in product marketing, partner or channel marketing, sales enablement, or co-sell program management. (We’re also very happy to hear from you if you come from a non-traditional background!) The ability to make safety and responsibility a credible, compelling part of a commercial story, and genuine interest in Anthropic's mission Strong presence in front of an audience, from a live seller call to a room of technical and commercial people at once The ability to influence people you don't manage, across Anthropic and inside large partner organizations Willingness to dive in and figure out what needs to be done, often without concrete guidance or a large supporting team Strong candidates may also have Experience with marketplace and/or reseller motions Experience shaping positioning and differentiation for enterprise buyers Experience launching technical products or platform capabilities through a channel or partner ecosystem Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain Experience using AI in your own day-to-day workflows to extend your scale and reach Familiarity with LMS and partner portal platforms 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. WHAT YOU'LL DO - Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions. - Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product. - Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience. - Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI. - Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations. - Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities. - Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Experienced background in asset management, banking or financial services or strategic customer success/account management experience, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects. - Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels. - Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly - Team players described as committed, collaborative and proactive with a team-first mentality. WHAT WE OFFER - A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive. - An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes. - A collaborative work environment that promotes growth, learning, and development. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who can commit to 16 hours per week at a CAD $30/hour contract rate. This role is BYOD 💻 (Bring Your Own Device, laptop). This position is remote. As an Data Annotation Specialist, you will: - Evaluate and rank model outputs: Complete preference and comparison tasks, assessing which responses best conform to project guidelines for accuracy, helpfulness, tone, and safety, and writing clear justifications for your judgments. - Stress-test and break models: Probe models adversarially to surface failure modes, unsafe behavior, and capability gaps, and document reproducible cases that engineering and research teams can act on. - Create datasets: Author high-quality prompts, responses, and exemplars to build training and evaluation datasets, following detailed specifications and editing machine-written or human-written outputs to standard. - Build and apply rubrics and taxonomies: Contribute to the design of grading criteria and rubrics, then apply them consistently to produce structured, high-quality annotations across task types. - Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a high standard of data integrity and accuracy. - Calibrate and maintain consistency: Participate in calibration exercises and inter-annotator agreement checks to align on standards, and flag ambiguous or uncovered edge cases rather than guessing, since a single misjudgment replicated at scale degrades a model. - Adapt to experimental work: Take on new and evolving task types as project needs shift, applying sound judgment in areas where guidelines are still being developed. - Report on model performance: Surface and communicate quality and performance trends in model and agent behavior, giving cross-functional partners clear, well-evidenced feedback on where models succeed, fail, and degrade. You may be a good fit if you have: - 1+ years of experience in AI data annotation, LLM evaluation, content moderation, research, or a related analytical role, with exposure to quality assurance, and/or preference ranking. - Experience applying detailed guidelines to complex and often ambiguous content, with strong contextual and sociocultural judgment, sensitivity to nuance, tone, and register, and the ability to reason well in cases where there is no single correct answer. - Comfort with ambiguity: a willingness to flag unclear or uncovered edge cases rather than guess, and to work productively on novel, experimental tasks whose definitions are still evolving. - A sharp, curious eye for inconsistencies, subtle errors, and model failure modes, including the instinct to probe models adversarially and surface where they break. Familiarity with how large language models behave, such as hallucination, sycophancy, and instruction-following gaps, is a plus. - Excellent command of written English and strong reading comprehension, with the ability to clearly justify your evaluations, including why an output is correct or incorrect, high-quality or low-quality, and to write clear prompts and exemplars that explain your reasoning. Bonus points if you are fluent in another language! - Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks. - Comfort working with annotation platforms and structured formats such as JSON, CSV/TSV, Markdown, XML, and YAML. - Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team. Candidate Journey - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.

Location: El Salvador (Remote) 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 Role OKX is one of the world's leading digital asset exchanges, with a regulated and actively expanding presence across Latin America. We are looking for a senior compliance professional to join our LatAm team as Compliance Officer for El Salvador and permanent support for LatAm jurisdictions. This role combines day-to-day case management with direct regulatory reporting obligations before local authorities, and requires the ability to independently lead process improvements while acting as the key liaison between the global compliance operations team and the regional team. Strategic Responsibilities Design, implementation and continuous improvement of the AML/CFT compliance program for El Salvador in alignment with the global standards. Lead and implement process improvement initiatives across operational workflows and control frameworks for our El Salvador entity. Serve as the primary point of contact between the global compliance operations team and the local/regional team, ensuring alignment on policies, procedures, escalation protocols, and regulatory standards. Develop scalable solutions for operational efficiency, accounting for both current regulatory requirements and anticipated changes. Drive cross-functional collaboration to address regulatory challenges, working with Legal, Finance, Risk, and Product teams as needed. Contribute to knowledge-sharing across compliance functions and support training efforts for the regional team. Daily Responsibilities For Our El Salvador Entity: Review and resolve escalated Transaction Monitoring cases referred by the operational team: apply senior risk-based judgment to complex or ambiguous alerts, make final suspicious activity determinations, and ensure all case documentation meets the evidentiary standard required for regulatory defensibility. Review and resolve escalated EDD cases for high-risk customers in accordance with local regulation requirements. Make final match/no-match decisions on escalated sanctions screening cases referred by the operational team. Review and determine escalated PEP cases, applying intensified due diligence measures where required and setting the standard for what warrants escalation in the first place. Own the preparation and submission of Reportes de Operaciones Sospechosas (ROS/SARs) to the UIF. Own the preparation and timely submission of all mandatory periodic regulatory reports before local authorities. Qualifications & Experience 4–6 years of verifiable experience in global AML compliance standards applicable to VASPs/PSPs; in-depth knowledge of AML/CFT operations (CDD, EDD, transaction monitoring, sanctions, PEPs). At least 2 years of verifiable experience in compliance with a Crypto company. [Mandatory] Stakeholder management skills: ability to interact with senior leadership, and cross-functional teams. Advanced knowledge of AML/CFT compliance operations, including CDD, EDD, transaction monitoring, sanctions, and PEP screening. Demonstrated ability to independently manage high-risk cases and make sound, risk-based compliance judgments. Proficiency with blockchain analytics tools (Chainalysis, Elliptic, TRM Labs or equivalent). Knowledge of regional and global VASP regulatory frameworks, with focus El Salvador. Experience in additional LATAM jurisdictions is a plus. Fluency in Spanish is required; English proficiency is strongly preferred. Perks & Benefits Competitive total compensation package Various team building programs and company events #LI-EWR1 #LI-HYBRID 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: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Own the full-cycle, end-to-end recruiting process for business roles across go-to-market (Sales, Marketing, Customer Success), Operations, Finance, People, and other cross-functional teams, delivering an exceptional experience for candidates, interviewers, and hiring managers - Act as a strategic hiring partner to business leaders, collaborating closely to define role requirements, develop clear position profiles, and align on hiring plans, priorities, and timelines - Design and execute proactive sourcing strategies across multiple channels to attract both active and passive candidates for business roles in competitive markets - Build and maintain strong candidate pipelines, effectively assessing, engaging, and closing top business talent - Drive an efficient, structured, and equitable interview process while continuously improving hiring workflows and candidate experience - Track, analyze, and report on key recruiting metrics (time-to-fill, pipeline conversion, source effectiveness, candidate experience) and share insights with hiring managers and Sierra leadership on a regular cadence WHAT YOU'LL BRING - 5–8+ years of full-cycle recruiting experience in a high-growth tech company, with early-stage startup experience preferred - Proven success recruiting and closing candidates across business functions, including GTM, operations, and corporate roles - Strong ability to build trusted, consultative relationships with hiring managers and interview teams - Excellent stakeholder management, communication, and prioritization skills in a fast-paced environment - Data-driven approach to recruiting with experience using metrics to inform hiring decisions and process improvements EVEN BETTER... - Experience recruiting for GTM teams in a SaaS or B2B environment - Experience with Ashby ATS - Experience scaling business teams during periods of rapid growth OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Almaty, Kazakhstan Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Kazakhstan's, Central Asia’s and Caucasus’s digital advertising markets are one of the fastest-growing, and you could be at the very heart of it. Aleph is looking for a Client Partner to work hand-in-hand with global digital platforms and lead new business growth across Kazakhstan. This isn't just another sales role. It's your chance to shape how the country's biggest brands connect with millions of consumers, build a legacy in a market that's just hitting its stride, and do it all backed by one of the world's most exciting platforms. If you're ambitious, digitally savvy, and ready to make your mark on the Kazakh advertising landscape then we want to hear from you. What You’ll Do: Lead the Market: Define and execute bold go-to-market strategies that grow our presence across Kazakhstan, Central Asia and Caucasus. You won't be following a playbook,  you'll be writing it. Drive Real Results: Take full ownership of regional sales targets and consistently exceed them. Your wins directly shape the business. Build Lasting Partnerships: Cultivate a high-value portfolio of top agencies and advertisers built on trust, insight, and genuine value, not just transactions. Expand Your Network: Strengthen and grow your connections across Kazakhstan's and the CIS advertising and digital ecosystem. Your relationships are your superpower. Shape Regional Strategy: Collaborate with Client Partners across the region to develop short- and long-term revenue growth strategies that actually move the needle. Elevate the Industry: Host workshops, seminars, and educational events that raise the bar for advertising in Kazakhstan and position us as the go-to partner in the market. Win as a Team: Partner with internal teams and stakeholders to maximize product success and deliver an exceptional client experience every time. What you need for this role: Proven Sales Experience : a strong track record in media or digital advertising sales, with real numbers to back it up Client-First Mindset : genuine passion for building relationships and a natural ability to earn trust Analytical Thinking : you turn data and market insights into sharp, winning strategies Tech Fluency : confident with Google Sheets, PowerPoint, and Keynote; Salesforce or CRM experience is a bonus Deep Local Knowledge : solid understanding of the Kazakhstan and broader CIS advertising landscape Business-Level English : strong written and spoken communication; Russian or Kazakh is a major plus Industry Connections : existing relationships with key agencies and advertisers in Kazakhstan give you a real head star What Will Make Us Really Love You: You don't just follow trends, you spot them early and help your clients act on them. You're energized by fast-moving environments, take initiative without being asked, and bring creative thinking to every conversation. Most importantly, you're driven by outcomes for your clients, your team, and yourself. What you'll love about us: Global Team, Local Impact : Join a diverse, multicultural team operating across world markets, while making a direct impact right here in Kazakhstan and the CIS. TikTok, Spotify, Digital Turbine Partnerships: Be the driving force connecting the world's most influential digital platforms with Kazakhstan's and the CIS region's most iconic brands. Real Career Growth : From day one, you'll have access to mentorship, hands-on learning, and the kind of responsibility that accelerates careers. Freedom to Innovate : This is an environment where bold ideas are welcomed, ownership is encouraged, and great work gets recognized. A Market at Its Peak Moment : Kazakhstan's and the CIS digital ad market is at an inflection point. You'll be here for it and you'll help shape it. Ready to own Kazakhstan's digital future? Apply now and let's build something remarkable together.   Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH