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Location: London, United Kingdom; Dubai, United Arab Emirates Workplace: fully We are hiring for this position to be based in Dubai (UAE) or Eastern Europe. Praktika is an AI-native education company on a mission to deliver efficient, engaging language learning to billions of people worldwide. We're bridging the gap between traditional learning apps and human tutors through a fully automated tutorship experience powered by generative AI avatars. Since launching our mobile apps in 2023, we've reached over 30 million learners and grown to over 2 million monthly active users, become one of the world's top-4 learning apps, and recently closed a $30M Series A to accelerate our roadmap. We're a fully distributed team of ~50 people across 4 continents and 15+ countries, working asynchronously to ship fast and operate at a high bar. We're hiring a Lead DevOps Engineer to own all of Praktika's infrastructure and all access to it. This is a hands-on role with real leadership: you'll set the direction for our infrastructure, build it, run it, and keep it secure, reliable, cost-efficient and fast as we grow. You'll work with every engineering team and with non-engineering teams too. We are rebuilding how the company works around AI, and infrastructure is where that has to be made safe. What you'll do Own the infrastructure end to end: design, build and run our AWS-based infrastructure, and be the owner when it fails. Own identity and access for the whole company: cloud accounts, vendors, internal tools, onboarding and offboarding. Own infrastructure security (IAM, networks, secrets, audit logs) and the technical part of compliance: ISO 27001, SOC 2, GDPR. Keep costs visible and under control across clouds and AI vendors. Run the hosting and inference infrastructure for our ML and LLM models. Close repeated operational requests with automation and self-service, not with tickets and manual console changes. Rebuild infrastructure processes around AI: code review, monitoring and observability, alert triage, incident investigation. Build the place where internal tools and apps, built with AI by engineers and non-engineers, are deployed safely, reviewed and monitored. Build your own tools with AI too. Give delivery teams golden paths (service templates, CI/CD, safe deploys, alerts) that make the standard way the easy way, without blocking teams. What we're looking for We're looking for outstanding engineers who thrive in a challenging environment, bring a growth mindset, and operate with a high degree of agency, devotion, and autonomy. Required Ownership mindset: you make decisions and finish work without supervision. Deep hands-on AWS experience in production, including containers on ECS. Infrastructure as code (Terraform) as your normal way of working. A solid security foundation and a real interest in security. You have already built working tools with AI coding agents, and you use AI in your daily work. You have changed how other teams work without formal authority over them. You have set a technical direction and split large projects into deliverable parts. Ability to thrive in an async, distributed, written-first culture. Bonus DevSecOps experience and an understanding of how attacks work. Hands-on work on SOC 2, ISO 27001 or GDPR. Experience with clouds other than AWS. Experience with infrastructure for ML / LLM inference. Prior experience at an early-stage or high-growth consumer product company. Our stack AWS (containers, serverless, managed databases, CDN), Terraform, GitHub Actions, Datadog, SQL and NoSQL databases, event streaming, a data warehouse, hosted ML / LLM inference, and others. How we work Mission-driven: we're building the #1 language learning app and competing to win. AI-native: AI isn't a feature; it's how we think, build, and scale. Extreme ownership: every project has a clear owner who drives it to success. Less meetings, more outputs: async first; meetings are a last resort. Speed & excellence: move fast without compromising quality. Truly all-in: impactful work, full commitment, real rewards. Data-driven: decisions are based on evidence, not opinion. User-obsessed: if it doesn't improve the learner experience, it doesn't matter. What we offer Room to grow: as you prove yourself, your scope can grow to Head of Platform (backend team). Equity that grows with your impact (stock options). 26 days of holiday plus bank holidays (34 days per year total). Annual company off-site (last year: Dubai). Health and wellness benefits via SafetyWing. Full AI toolkit access: Claude, Cursor, Codex, and other productivity tools. $1,000 annual education and learning budget. Fully remote, based in Dubai or Eastern Europe. Interview Process: Intro interview with our Head of Talent. Technical interviews with our CTO. Culture interview with a member of the leadership team. Peer interview with an engineer from the team. No take-home task. We will provide you with feedback throughout the interview process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans Develop forecasting models, build pipeline, and set revenue targets for the partnership Build and maintain cross-functional relationships across GCP Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute sales plays and enablement programs Participate in monthly business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies Deep understanding of enterprise cloud services and AI/ML market dynamics Exceptional communication and relationship-building skills with both technical and business stakeholders Proven ability to develop and execute successful co-selling strategies at scale Excellence in strategy, business operations, and program management Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company Familiarity with large language models and their applications in generative AI Previous experience working with cloud and large technology partnerships Technical background in computer science, software engineering, data science, or related field MBA or advanced degree in relevant discipline 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: £215,000 — £250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Responsibilities: — Work remotely within the EU with mandatory onsite presence in the Netherlands from January 14 to February 7, 2027. — Engage in Azure Cloud Engineering tasks including Azure IaaS/PaaS, Azure VMs, Storage Accounts, Key Vault, AKS, Databricks, Application Gateway. — Use Terraform as a mandatory tool. — Utilize Azure DevOps, GitHub, CI/CD pipelines. — Work with Kubernetes, Docker. — Employ scripting languages such as PowerShell, Shell, YAML, Python. — Ensure IaC Security and handle Monitoring & Logging. Requirements: — Senior level experience. — At least 3 successfully completed end-to-end SAP S/4HANA transformation projects. — Experience providing production support in mission-critical SAP environments. — Mandatory skills include Azure Cloud Engineering, Terraform, Azure DevOps, GitHub, CI/CD, Kubernetes, Docker, PowerShell, Python. — English proficiency at C1 level. Nice to have: — Azure certifications (AZ-104, AZ-305, AZ-400). — Experience with SAP hosting on Azure. — Knowledge of Cloud Governance. — Understanding of Security & Compliance. Conditions: — Remote work within the EU. — Mandatory onsite presence in the Netherlands from January 14 to February 7, 2027. — Contract duration is 3 months starting ASAP (December 2026) with possibility of extension. — Freelancers only; outstaffing companies and recruitment agencies will not be considered.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is seeking an International Infrastructure Accounting professional to join our Infrastructure Accounting team. Based in Dublin and reporting to the Head of International Infrastructure Accounting, you will execute day-to-day accounting for the leased and owned infrastructure supporting Anthropic's expansion outside the United States, i.e. the data centers, network infrastructure, and compute capacity underpinning our international growth. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing international infrastructure portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's international infrastructure portfolio, with an initial focus on leases, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 for the US GAAP books, and carry those same arrangements through to the IFRS 16 or local GAAP books. You will partner closely with our central team to ensure global policies, processes, and controls are applied consistently as each new market comes online. Responsibilities: Lead end-to-end accounting for Anthropic's international infrastructure portfolio — leased and owned, with an initial focus on leases — including monthly close, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and ASC 360 (capitalization, useful lives, impairment, and disposals) Prepare the US GAAP to IFRS 16 and local GAAP adjustments for each international entity, and partner with our International Statutory Reporting team and external providers so the statutory accounts are accurate and filed on time Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Apply global infrastructure accounting policies, processes, and controls consistently as each new market comes online Help stand up the accounting foundations for each new market, i.e. entity and chart of accounts mapping, functional currency, intercompany flows, and lease system onboarding Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors and local statutory auditors on international infrastructure matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum Requirements: Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Are a qualified accountant (ACA, ACCA, CPA, or equivalent) with a bachelor's degree in Accounting, Finance, or equivalent practical experience Possess strong technical accounting knowledge of ASC 842 and ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements Have worked across both US GAAP and IFRS, and are comfortable owning the differences rather than handing them off Have experience managing a significant lease or fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring and developing accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners and time zones Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred Requirements: Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts) Experience with lease accounting software and / or fixed asset subledger systems at scale Experience with statutory reporting across multiple jurisdictions, including working with external providers and local audits Experience supporting a US-headquartered multinational from a regional or European finance hub SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: €140.000 — €170.000 EUR 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: Amsterdam, Netherlands Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria • You will have experience in international student recruitment for higher education. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel across Europe/Amsterdam region. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Amsterdam, Netherlands Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria • You will have experience in international student recruitment for higher education. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel across Europe/Amsterdam region. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: London Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Tokyo, Japan 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 Japan is one of our fastest-growing partner markets, and partner demand for training and certification is ahead of our capacity. You will be our in-market enablement owner for Japan. You will take the global programs built by our Curriculum, Certification, and Applied AI teams and make them work for Japanese system integrators, from global integrators with large Japan practices to regional and specialist firms, so their teams can confidently sell and deliver Claude. You work as the Japan extension of the SI Enablement Lead, in close partnership with the Japan Partner Account Managers (PAMs). The PAMs own the commercial relationship, the joint business plan, and executive alignment. You own readiness: what ready looks like for practitioners inside Japanese SIs, and the path that gets them there. What you will do Serve as the enablement counterpart to Japan SI alliance, practice, and L&D leaders, working alongside the Japan PAMs. Build and execute a readiness plan for 3-5 regional priority partners (based on leadership priorities), while guiding the rest through scaled offerings. Define what ready means for an individual practitioner in a Japanese SI (demonstrated skill, not course completions), building on Partner Enablement’s global competency framework and adapting role definitions to how Japanese SIs staff and organize delivery teams. Partner with the training team on the instructor-led portfolio, bringing the right training to market with localized delivery partners. What this role does not own Partner relationships. Japan PAMs own the commercial relationship, joint business plan, pipeline targets, and executive alignment. Building curriculum and certification. The Training & Curriculum and Certification teams build these once, centrally. You activate them in Japan and bring back what needs to change. The external training delivery bench. Delivery partners run the sessions. You partner with them and the training team to bring the right programs to market. 1:few or one-off enablement. The focus is on repeatable, 1:many programs. Qualifications 5+ years in partner enablement, technical training, partner programs, or alliances in Japan, ideally with or inside Japanese SIs or a hyperscaler’s Japan partner team Working knowledge of how Japanese SIs build, staff, fund, and certify a technology practice Experience delivering or coordinating workshops, instructor-led training, or certification programs Experience building enablement as a repeatable program, with some tiering of coverage (hands-on for priority partners, programmatic for the rest) Ability to define and track outcome measures beyond attendance and completions Credibility with partner practice, alliance, and L&D leaders Self-directed, comfortable prioritizing independently and working with a manager in a different time zone Excellent program management skills, a systems mindset, and comfort operating in ambiguity Strong presence in front of an audience Native Japanese and fluent business English Preferred Experience with Claude or other LLM platforms Experience with a hyperscaler certification program in Japan A background localizing technical content Existing relationships at Japanese SIs Experience working with training vendors or an authorized training partner model 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: Singapore Workplace: Remote Coder is looking for a Senior Sales Development Representative (SDR) to fuel our growth by generating qualified pipeline for our Enterprise Account Managers. You’ll help bring Coder’s Environment-as-a-Service platform to some of the world’s largest companies that are adopting AI-driven development at scale. This role is all about creating opportunities: finding and engaging the right prospects, uncovering the pain points Coder can help with, and setting up qualification calls that set our EAMs up for success. You’ll play a critical role in driving Coder’s outbound motion and helping large organizations build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers.   What you’ll do here - Generate qualified opportunities for EAMs through targeted outbound prospecting - Conduct multi-channel outreach across phone, email, and LinkedIn using tools like SalesLoft, Sales Navigator, ZoomInfo, 6sense, and Nooks - Research target accounts and key personas to craft personalized and value-driven messaging - Set up qualification calls for EAMs to run and advance through the sales cycle - Work closely with EAMs to strategize account outreach and hand off qualified opportunities seamlessly - Maintain accurate activity and lead data in CRM and engagement platforms - Collaborate with marketing to align messaging and campaigns to drive higher response rates - Stay sharp on developer tooling, platform engineering, and AI-driven development trends to speak credibly with prospects   What we’re looking for - Currently based in Singapore - 1-3 years in outbound SDR or BDR roles within SaaS or developer-focused technology companies - Proven ability to generate pipeline through outbound cold calling, emailing, and social selling - Experience with SalesLoft, LinkedIn Sales Navigator, ZoomInfo, 6sense, and similar prospecting tools - Strong written and verbal communication skills; able to clearly articulate technical value propositions - Grit, curiosity, and the ability to handle rejection while maintaining a positive, proactive mindset - Highly organized and self-motivated with a focus on measurable goals and continuous improvement - Eagerness to learn about developer tools, DevOps, platform engineering, and AI workflows   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Prior experience selling into engineering or DevOps personas - Familiarity with AI and GenAI developer tools - Knowledge of open source ecosystems or cloud-native technologies - Experience collaborating closely with Account Executives in an enterprise sales motion ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're hiring our first Revenue Manager to own revenue accounting end to end: how we recognize it, how we close it, and the systems that produce it. You'll report to our Controller and work closely with rev ops, sales, legal, and FP&A. We sell through self-serve, enterprise contracts, and on marketplaces, with a mix of subscription, consumption, and self-hosted pricing as well as professional services. That mix makes revenue interesting. Prepaid credits, commits, overages, and multi-element deals all need clear policy and systems that get them right every month. This is a hands-on role. You'll write the accounting memos and also own how Salesforce, Metronome, and our ERP fit together so the numbers tie without a spreadsheet in the middle. We want someone who leans into AI. You'll use AI tools and agents to automate reconciliations, draft memos, and review contracts, and you'll help set how the rest of the accounting team works with them. WHAT YOU'LL DO REVENUE RECOGNITION AND POLICY - Own ASC 606 for every way we sell: subscription, consumption, self-hosted licenses, and marketplace - Write and maintain technical accounting memos and our revenue policy - Build and maintain our standalone selling price (SSP) analysis and run allocations on multi-element deals - Set the treatment for prepaid credits, commits, rollover, overages, breakage, and promotional credits - Set revenue positions for new AI and consumption products, and track partner and marketplace economics as those models evolve - Review deals before signature and advise sales and rev ops on how terms affect revenue CLOSE AND REPORTING - Run the monthly revenue close: usage revenue, deferred revenue, contract assets, and unbilled AR, with rollforwards and reconciliations - Reconcile usage data, Metronome, Salesforce, and the GL every month - Own the allowance for credit losses, from methodology through the audit memo, with collections and sales - Produce revenue and deferred revenue flux analysis, RPO, and disaggregation, and present results in quarterly close reviews - Partner with FP&A to tie ARR and usage metrics to GAAP revenue - Own commission capitalization under ASC 340-40 - Support special projects like new pricing launches and products SYSTEMS - Own the revenue data flow from Salesforce to Metronome to our ERP and revenue subledger - Design revenue rules and configuration in our AI-native ERP, and review its output rather than rebuild it in spreadsheets - Lead requirements, testing, and parallel runs for new systems, products, and pricing launches - Build automated reconciliations, controls, and AI agents so the close scales with the business AUDIT AND CONTROLS - Own revenue for the annual audit: PBCs, memos, and walkthroughs - Design revenue controls that would hold up to a SOX-level review WHAT WE'RE LOOKING FOR - 6 to 9 years of accounting experience, including 2+ years in public accounting (Big 4 or national firm) with technology clients - 3+ years owning revenue accounting in-house at a high-growth software company, ideally with usage- or consumption-based pricing - CPA preferred - Deep, hands-on ASC 606 knowledge, including complex and non-standard arrangements: you've written the memos, built an SSP analysis, and defended your conclusions to auditors - Business ownership of at least one revenue or billing system implementation, from requirements and data mapping through testing, parallel runs, and go-live - A track record of replacing a manual process with an automated one - Experience closing revenue under audit at a pre-IPO or public company - You lean into AI. You already use AI tools or agents in your own work, can show where they made your close faster or more accurate, and want to build a revenue function that runs AI-first - Clear writing and judgment. You can explain a revenue conclusion to a sales leader in two sentences and to an auditor in two pages NICE TO HAVE - Experience with Metronome, Stripe Billing, or a similar usage-billing platform - Experience with AI-native or modern ERPs, or NetSuite ARM, Zuora Revenue, or RightRev - Accounting for self-hosted or on-prem software licenses alongside SaaS - Cloud marketplace sales (AWS, GCP, Azure), including private offers - IPO readiness or first-year SOX experience - Experience at an AI, developer tools, or infrastructure company - Built a revenue function or close process from scratch Salary: $150,000-$180,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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 Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership, own the scorecard, and write the materials for GTM and company leadership. Build the reporting. Work with Revenue Operations and Data Science to get engagement, staffing and outcome data into our systems so reporting runs without manual work. Measure what engagements lead to: production launches, consumption, expansion, and patterns partners reuse. Shape the commercial model. Partner with Finance, Deal Desk and Legal on how FDE engagements are priced, packaged, discounted and contracted, and track the economics of the portfolio. Scale through partners. Build the plan and the economics for moving more work to delivery partners: which engagements partners own, co-deliver or get Anthropic advice on, what capacity they need, and how we measure their quality and cost. Design the org. Work with FDE leadership and People on new roles, manager spans and where new headcount lands as the team grows. Lead cross-functional projects. Take on questions that span Sales, Applied AI, Customer Success, Product and Research, from defining the problem through to a decision and a working process. Automate with Claude. Use Claude Code and agents to build and run the models, dashboards and workflows this role depends on. Minimum qualification: Have worked in strategy and operations, business operations, strategic finance or consulting, including direct work with a professional services, implementation, solutions engineering or forward deployed team Understand how a services business makes and loses money: utilization, staffing mix, rates, backlog and margin, and how they connect to customer outcomes Can build a capacity or staffing model from scratch, explain every assumption in it, and pull the data yourself with SQL Have run planning cycles and business reviews for a senior leader and written the materials yourself Have taken an unclear question to a recommendation, a decision and a process that other teams still use Earn the trust of senior technical and commercial leaders and can influence them without direct authority Are comfortable working fast with imperfect data and simple processes that you improve as you go Use AI tools in your own work today and want to push that much further Are excited about Anthropic's mission to build AI that is safe and beneficial Preferred qualification: 10+ years in GTM strategy and operations, business operations or consulting Built the operations of a professional services or FDE team through a period of fast growth Worked on services pricing, statements of work and deal terms with Finance and Legal Built or managed delivery partner programs, including subcontracting, co-delivery and partner economics Experience in a consumption or usage-based business, including tying services work to product usage Enough technical fluency to talk with engineers about how LLM applications are built (agents, evals, MCP) Experience with Salesforce and professional services automation (PSA) tools Experience at an AI, cloud or developer infrastructure company Experience preparing materials for executive and board audiences 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: Philippines You You have a strong technical background, a passion for technology, and hands-on experience in SaaS and IT sales. You love solving complex technical challenges, bridging the gap between technical and non-technical stakeholders, and helping customers find the right solutions. If you’re excited by the idea of being at the intersection of technology and sales, we want to meet you! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: As a Technical Sales Specialist, you will leverage your technical background and sales expertise to engage customers, deliver tailored technical solutions, and close deals. You’ll be responsible for understanding customer needs, conducting live product demonstrations, and driving sales growth. This role requires a blend of sales acumen and technical knowledge to ensure customers are equipped with the right solutions for their business. Job Responsibilities: Lead technical product demonstrations, offering detailed insights into our data integration solutions and related technologies. Meet monthly, quarterly, and yearly sales targets, with a focus on SaaS and IT solutions. Collaborate across teams to ensure the highest level of customer support and alignment with our solution sales strategy. Identify opportunities to enhance customer engagement and boost sales of DBSync products. Stay updated on the latest product features, industry trends, and developments in SaaS, data integration, and IT solutions. Address customer inquiries and provide technical expertise to resolve product-related issues. Generate new leads and close sales through demonstrations, outreach, and relationship-building. Work closely with professional services and customer support teams to ensure seamless customer experiences. Continuously enhance your technical sales skills through training and self-learning. Skills and Qualifications: 3+ years of experience in software SaaS or IT sales, with a strong technical background. Solid understanding of B2B sales, particularly in the SaaS or tech industry. Ability to convey technical information clearly and effectively to both technical and non-technical stakeholders. Experience in selling data integration, cloud, or SaaS-based solutions is highly preferred. Strong problem-solving skills, with a passion for technology and innovation. Tech-savvy, with the ability to map technology to business needs and outcomes. Familiarity with Salesforce CRM or similar platforms is a plus. Excellent communication, presentation, and negotiation skills. Self-motivated and able to thrive in a fast-paced environment. MBA preferred but not required. Experience with AI‑enabled tools (e.g., Claude, Gemini, Copilot, ChatGPT, or workflow automation platforms) to enhance sales productivity, automate repetitive tasks, and improve customer engagement. Job Location: Philippines (Remote) Work Shift: U.S Shift (8:00 AM CST to 5:00 PM CST)

Location: Egypt ABOUT CINCOM Cincom builds and supports enterprise software used by organisations globally, with three main product lines CPQ, Eloquence and Smalltalk. Our customers run our products on their own provided infrastructure and, increasingly, hosted and managed by Cincom in the cloud. We are reorganising engineering, delivery and support so customers get one consistent, well-run service whatever they buy and however it is deployed. PURPOSE OF THE ROLE Our product engineering teams own how our software is built. We need one owner who works with the product teams to determine what it runs on, specifically, the infrastructure and deployment design for every product, whether Cincom hosts it in the cloud or the customer runs it on their own hardware. When a customer or colleague asks what hardware or cloud capacity a deployment needs for a given volume, how it should be laid out, or what it will cost to run, the Principal Infrastructure Architect provides the answer or options and stands behind it. This is a hands-on role: you will design configurations, build them, test them with the product teams, and get into the detail when things go wrong. HOW THE ROLE WORKS A few points to be clear on: You own infrastructure and deployment design, not software design. Application architecture stays with the individual product engineering teams; you work with them to understand how each product behaves under load and what it needs from the infrastructure. You cover both Cincom-hosted and customer on-premise deployments. Hosting operations (patching, backups, monitoring, incidents) sit in Support with the Hosting Engineers, who build to your designs. You set the direction for our cloud infrastructure and its commercials. Day-to-day subscription and cost management sits with the Hosting Engineers; you own the strategy, the provider relationship and the cost model behind our hosted pricing. You work alongside our Principal AI Architect on the infrastructure our AI services need, including hardware for models we host locally as well as cloud capacity. You support Sales, Pre-Sales and Client Success on key deals and accounts, so customers get one credible answer from Cincom on how to deploy and size our products. You will create and maintain a standard, simple to use, sizing guide/calculator, to be used for all “standard” deployment requests KEY RESPONSIBILITIES Infrastructure and deployment design Define and maintain reference deployment designs for each product, for cloud-hosted and on-premise: including servers/VMs, storage, networking, virtualisation, containers and databases. Design for availability and resilience: high availability, load balancing, failover and disaster recovery. Review and sign off infrastructure design for each customer deployment and any significant change to it. Own the design of our Kubernetes and container platform and decide where containerised deployment fits and where it does not. Sizing and performance Build and own an infrastructure sizing model for each product, starting with Eloquence and CPQ, that turns customer volumes and workload mix, online, batch and on-demand use for Eloquence and Model execution, quotation production and Analytics for CPQ, into the hardware or cloud capacity needed. Own repeatable performance tests of deployment configurations with each product team and use the results to validate and improve the sizing models. Turn the models into clear sizing guidance that Sales, Delivery and customers can use with confidence. Investigate infrastructure-related performance problems in live customer environments when escalated. Cloud infrastructure and commercials Set our cloud infrastructure strategy, with Azure as today’s primary platform and managing any migration from Enavate hosting to Azure Own the relationship with our cloud providers and lead negotiations on commitments and reserved capacity with key stakeholders. Build the cost-to-serve model for hosted customers, so we price hosting and volume-based licensing on real numbers. Specify hardware and capacity for any infrastructure Cincom runs itself, including for locally hosted AI models. Customers and pre-sales Act as the senior voice with key customers and prospects on infrastructure, sizing, resilience and deployment choices. Support RFIs, RFPs and security questionnaires with accurate, reusable infrastructure content. Process and compliance Work with our process and compliance lead so our infrastructure and deployment designs support ISO 27001 and SOC 2 certification in 2027 and our obligations under the EU Cyber Resilience Act. Help build the Drata knowledge base for responses to compliance and security questionnaires Requirements Essential Senior infrastructure architecture experience at an enterprise software vendor, managed service provider or large IT organisation, covering both on-premise and cloud. A proven record of sizing and performance-testing infrastructure for enterprise applications, including capacity modelling from real workload data. Deep knowledge of servers, storage, networking and virtualisation (for example VMware or Hyper-V), and of database infrastructure. Strong Azure infrastructure experience (AZ-305 or equivalent level), with working knowledge of AWS. Hands-on experience with containers, Kubernetes and infrastructure as code. A solid grasp of cloud commercials: reserved capacity, commitments, cost management and FinOps practice. The confidence to give customers and senior colleagues a clear answer, and the judgement to know when the honest answer is “we need to test that”. English fluency Desirable Experience sizing infrastructure for high-volume batch and document-processing workloads. Experience of GPU and other infrastructure for AI workloads, including locally hosted models. Experience of ISO 27001 or SOC 2 environments. Experience working remotely across countries, languages and time zones. WHAT SUCCESS LOOKS LIKE IN THE FIRST 12 MONTHS A validated infrastructure sizing model for Eloquence in use by Sales and Delivery, with CPQ and Smalltalk following. Signed-off reference deployment designs for each product, for hosted and on-premise. A repeatable performance-test approach for deployment configurations, running with each product team. Cost-to-serve known for every hosted customer, feeding hosting and licence pricing. Disaster recovery designs tested for hosted customers, with the results documented. Fewer escalations caused by under- or over-sized deployments. Benefits Independent Contractor (Contractor is responsible for applicable taxes and statutory obligations, subject to the agreement and local law) Full-time role Availability for occasional short travels Payment in USD Equipment provided by the company Contractor fee range - $3,500–$4,300 USD per month Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. AI Use Disclosure During our recruitment process, we may use technology, including AI-assisted tools, to support application review or scheduling. These tools support our recruiting team and do not replace human decision-making. Where required, candidates will receive additional information about the tool and applicable rights. This job posting is for an existing vacancy.

Location: Egypt Cincom is bringing its Level 1 support together into one 24/7 cross-product Support function, reporting directly to the COO. It covers all of our product lines, including CPQ, Eloquence, and Cincom Smalltalk, Mantis, Supra and Control, and more, and the customer environments we host and manage. Today, Level 1 support works differently from one product to the next. Processes, tools and standards vary, and too much depends on a few people who know a product inside out. We want one modern, professional support function that runs around the clock and that customers experience the same way, whichever product they use. We are looking for someone to build it and lead it. You will set the operating model, bring the team together, own escalations through to resolution, and put the tooling, processes and measures in place to run Support as a true 24/7 value added service. It is a leadership role, but you will need to stay close enough to the work to know what good looks like and to step in when it counts. KEY RESPONSIBILITIES Team Leadership & People Management Lead the Level 1 support team, and the senior Hosted Services roles that reports to you, and build Level 2 knowledge over time. Hire, develop and coach the team, and cross-skill people across products so we are not reliant on any one person. Set clear objectives, give regular feedback, and build a team that takes ownership of the customer's problem. Building a 24/7 Support Function Design and run Support as a true 24/7 service, with coverage, rotas and on-call arrangements that match our customer commitments. Build follow-the-sun and out-of-hours models that make good use of the team across time zones, without burning people out. Replace product-by-product ways of working with one consistent model for intake, triage, severity and prioritisation. Bring in modern support practice, including ITIL-aligned incident, problem and change management and knowledge-centred support. Work with the Hosted Services team to build. Managed Services approach for our hosted platforms Escalation Management to Level 2 and 3 Own the escalation process from Level 1 into Level 2/3: product engineering teams for product issues, and Services consultants for issues in project deliverables. Set clear criteria for when and how issues escalate, so they arrive with the right information, and nothing gets lost in the handover. Track every escalated issue through to resolution, keep customers informed, and chase when timescales slip. Review escalation trends with the product heads, push recurring issues back for permanent fixes, and make sure what we learn is captured in the knowledge base. Hosted Services Hold overall accountability for support of the customer environments Cincom hosts and manages, delivered through the senior Hosted Services roles. Make sure hosted services meet their commitments on availability, monitoring, backups, patching, disaster recovery and incident response, around the clock, providing a true Managed Service. Tooling, Automation & AI Make Zoho Desk the single platform for support, configured properly and used consistently across every product, with integrations into other Cincom operational platforms as required. Build and maintain a knowledge base (working with Cincom AI tools) that customers and the team actually use and expand self-service where it saves everyone effort. Work with our AI team to explore and develop AI-assisted Level 1 support, including local-language support, with validation before answers reach customers. Performance, Reporting & Compliance Set and track SLAs and internal service levels for response and resolution, by severity. Report on ticket trends by product, customer, region, severity and SLA tracked resolution time, not just ticket status, and review them monthly with the COO. Lead the response to major incidents, with clear and timely communication to customers following a well-documented process. Make sure support processes provide the evidence we need for ISO 27001 and SOC 2 and support our obligations to customers in regulated sectors. Requirements Mandatory Experience Experience leading Level 1 and Level 2 support for enterprise software customers, ideally across more than one product. A track record of building or reshaping a support function, not only running an existing one. Experience running or building a 24/7 support operation, including on-call and potential follow-the-sun models. Experience managing escalations into engineering teams and holding them to agreed timescales. Experience running SLA-based support for business-critical customer systems. Technical Knowledge Strong grounding in incident, problem and change management (ITIL or equivalent). Working understanding of hosted and cloud environments, Azure or similar, including monitoring and alerting and management of guaranteed up-time. Comfortable with service desk platforms, reporting and automation. Leadership & Interpersonal Skills Calm and clear with customers and senior colleagues, especially when things go wrong. Uses data to manage performance and to make the case for change. Builds trust across Engineering, Delivery and Client Success, and gets things done without relying on authority. Fluent Business English communication. Desirable Hands-on experience with Zoho Desk or a comparable service desk platform. Experience introducing AI-assisted support, knowledge-centred support or self-service. ITIL 4 certification. Additional languages, particularly French, German, Italian. Experience supporting customers in regulated sectors such as financial services and insurance, and familiarity with ISO 27001 and SOC 2. WHY THIS ROLE This is a new function with a direct line to the COO. You will shape it from the start, with real backing to change how we work and a clear mandate to build a professional support service that customers value. The role is remote and the location is open. Because Support will run 24/7, you will take part in senior escalation cover for major incidents, and potentially travel occasionally to meet the team and customers. WHAT SUCCESS LOOKS LIKE First 3 Months A clear picture of how support works today across every product, with the main gaps and risks identified. One triage and escalation process agreed and live across all products. A plan for 24/7 coverage agreed, and baseline metrics in place in Zoho Desk. By 12 Months Support running as a 24/7 service, with SLA and trend reporting by product, customer and region. Measurable improvement in response times, resolution times and customer satisfaction. Fewer avoidable escalations to Level 2/3, and a team that can cover more than one product. A working knowledge base, and AI-assisted Level 1 support live on at least one product. Benefits Independent Contractor (Contractor is responsible for applicable taxes and statutory obligations, subject to the agreement and local law) Full-time role Availability for occasional short travels Payment in USD Equipment provided by the company Contractor fee range - $2,900–$5,000 USD per month Equal Opportunity Employer PartnerOne is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. AI Use Disclosure During our recruitment process, we may use technology, including AI-assisted tools, to support application review or scheduling. These tools support our recruiting team and do not replace human decision-making. Where required, candidates will receive additional information about the tool and applicable rights. This job posting is for an existing vacancy.

Location: Colombia You You have a strong technical background, a passion for technology, and hands-on experience in SaaS and IT sales. You love solving complex technical challenges, bridging the gap between technical and non-technical stakeholders, and helping customers find the right solutions. If you’re excited by the idea of being at the intersection of technology and sales, we want to meet you! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: As a Technical Sales Specialist, you will leverage your technical background and sales expertise to engage customers, deliver tailored technical solutions, and close deals. You’ll be responsible for understanding customer needs, conducting live product demonstrations, and driving sales growth. This role requires a blend of sales acumen and technical knowledge to ensure customers are equipped with the right solutions for their business. Job Responsibilities: Lead technical product demonstrations, offering detailed insights into our data integration solutions and related technologies. Meet monthly, quarterly, and yearly sales targets, with a focus on SaaS and IT solutions. Collaborate across teams to ensure the highest level of customer support and alignment with our solution sales strategy. Identify opportunities to enhance customer engagement and boost sales of DBSync products. Stay updated on the latest product features, industry trends, and developments in SaaS, data integration, and IT solutions. Address customer inquiries and provide technical expertise to resolve product-related issues. Generate new leads and close sales through demonstrations, outreach, and relationship-building. Work closely with professional services and customer support teams to ensure seamless customer experiences. Continuously enhance your technical sales skills through training and self-learning. Skills and Qualifications: 3+ years of experience in software SaaS or IT sales, with a strong technical background. Solid understanding of B2B sales, particularly in the SaaS or tech industry. Ability to convey technical information clearly and effectively to both technical and non-technical stakeholders. Experience in selling data integration, cloud, or SaaS-based solutions is highly preferred. Strong problem-solving skills, with a passion for technology and innovation. Tech-savvy, with the ability to map technology to business needs and outcomes. Familiarity with Salesforce CRM or similar platforms is a plus. Excellent communication, presentation, and negotiation skills. Self-motivated and able to thrive in a fast-paced environment. MBA preferred but not required. Experience with AI‑enabled tools (e.g., Claude, Gemini, Copilot, ChatGPT, or workflow automation platforms) to enhance sales productivity, automate repetitive tasks, and improve customer engagement. Job Location: LATAM (Remote) Work Shift: U.S Shift (8:00 AM CST to 5:00 PM CST)

Location: Bengaluru, India You You have a strong technical background, a passion for technology, and hands-on experience in SaaS and IT sales. You love solving complex technical challenges, bridging the gap between technical and non-technical stakeholders, and helping customers find the right solutions. If you’re excited by the idea of being at the intersection of technology and sales, we want to meet you! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: As a Technical Sales Specialist, you will leverage your technical background and sales expertise to engage customers, deliver tailored technical solutions, and close deals. You’ll be responsible for understanding customer needs, conducting live product demonstrations, and driving sales growth. This role requires a blend of sales acumen and technical knowledge to ensure customers are equipped with the right solutions for their business. Job Responsibilities: Lead technical product demonstrations, offering detailed insights into our data integration solutions and related technologies. Meet monthly, quarterly, and yearly sales targets, with a focus on SaaS and IT solutions. Collaborate across teams to ensure the highest level of customer support and alignment with our solution sales strategy. Identify opportunities to enhance customer engagement and boost sales of DBSync products. Stay updated on the latest product features, industry trends, and developments in SaaS, data integration, and IT solutions. Address customer inquiries and provide technical expertise to resolve product-related issues. Generate new leads and close sales through demonstrations, outreach, and relationship-building. Work closely with professional services and customer support teams to ensure seamless customer experiences. Continuously enhance your technical sales skills through training and self-learning. Skills and Qualifications: 3+ years of experience in software SaaS or IT sales, with a strong technical background. Solid understanding of B2B sales, particularly in the SaaS or tech industry. Ability to convey technical information clearly and effectively to both technical and non-technical stakeholders. Experience in selling data integration, cloud, or SaaS-based solutions is highly preferred. Strong problem-solving skills, with a passion for technology and innovation. Tech-savvy, with the ability to map technology to business needs and outcomes. Familiarity with Salesforce CRM or similar platforms is a plus. Excellent communication, presentation, and negotiation skills. Self-motivated and able to thrive in a fast-paced environment. MBA preferred but not required. Experience with AI‑enabled tools (e.g., Claude, Gemini, Copilot, ChatGPT, or workflow automation platforms) to enhance sales productivity, automate repetitive tasks, and improve customer engagement. Job Location: Bangalore (Remote) Work Shift: U.S Shift (6:30 PM IST to 3:30 AM CST)

Location: New York City, NY | Seattle, WA; 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 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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Agent Security's mission is to safely increase how much of the world's work agents can do, starting inside Anthropic. Claude now writes and ships code, runs experiments and acts on people's behalf, for hours at a time. How much more it can take on depends on how safely it can operate. If, in the worst case, an agent misbehaves, Anthropic and the public may bear the consequences. Our mandate is to mitigate this risk, and Anthropic’s mission depends on it. The Partnerships team pairs security engineers with the teams at Anthropic that build Claude, build agents and rely on agents. Those teams are our partners. When a team wants its agents to do more, we threat model the plan with them and build the controls together. Most of this has no playbook, so we have often created new controls from first principles. The ones that work become part of our toolbox, spread to other teams, and in some cases ship in our products. We're hiring an Engineering Manager to lead this team of security engineers. This is first and foremost a people leadership role. Few have secured agents at scale, especially at a frontier lab, so we don't expect you to have done it. We do expect you to have led security engineering teams, and we care most about how you lead people and reason about security. This role operates at the frontier. Each model generation, and each new harness, brings new challenges. The number of teams building on agents keeps growing, and partner teams won't always agree with your calls. In return, you will have the chance to directly contribute to making transformative AI go well, which is the heart of our mission. Key responsibilities Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team Support the team through high-stakes safety and security calls made under uncertainty and on tight timelines Balance long-term investment in shared controls against partner teams’ immediate asks Deliver large security migrations across all of Anthropic Work through difficult tradeoffs with partner teams in ways that build trust and understanding Representative Projects In the past, the team has: Invented a new kind of classifier-based control for agents partnering with an internal team to develop and roll it out Co-built a sandbox with a product team, choosing what to enforce first so that adoption stuck Defined the security standards for running agents across the company and partnered with many different teams on how to hit these standards Minimum qualifications Excellent people management skills. You've hired, developed and managed senior and staff engineers, grown engineers into staff or lead roles, and kept a team delivering through changing priorities. Deep security management experience. You've managed security engineering teams and answered to executives for risk and tradeoffs. Strong written and oral communication skills. You've explained hard tradeoffs to executives and to engineers in plain words. Resilience, emotional awareness, low ego and high empathy Experience leading large migrations and highly cross-functional work A willingness to dive into the details to tie-break complex trade-offs without any clear answer, and the ability to stand by these decisions Preferred qualifications Experience embedding security engineers with product, infrastructure or research teams, or running a security partnerships team Agent security or AI/ML security experience Familiarity with AI safety concepts and research Leading in hypergrowth 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.