Вакансии

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Global The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. Responsibilities As a Financial Data Sales Associate based in the EMEA region, you will oversee the full scope of sales at Databento. This includes the following: Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues that our customers raise. Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust. Gather customer feedback, testimonials, case studies, and more. Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping our CRM up-to-date and organized. Build a network of executive relationships across the industry and with key partners and customers. Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential business opportunities and adapt sales strategies accordingly. Collaborate across teams to align sales efforts with overall company objectives and ensure a seamless customer experience. Desired Qualifications The ideal candidate has experienced the end-to-end sales pipeline, including top-of-funnel, upselling, channel sales, customer success, and forecasting. Below are other skills that we look for: Understand and communicate with our user base of developers and quants. Experience with quant trading and market microstructure. Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot. Professional communication skills that align with the tone of an institutional financial product. White-glove management of the sales cycle with continual buy-in from the customer, discovering the user's pain points, signs of friction, being honest when our product isn't the best fit, not being too pushy or salesy, and knowing when to continue vs. back off. Readiness to work within a startup environment with limited resources and personnel. As a bonus: Active usage of GitHub, knowledge of enough C++, Python, and/or Rust to help answer client inquiries. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $80,000–$155,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT US: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. ABOUT THE ROLE: Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day. We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role. You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day. WHAT YOU'LL ACHIEVE: - Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS. - Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS. - Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools. - Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift. - Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection. - Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse. - Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream. - Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC. SKILLS YOU NEED TO BRING: - Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company. - Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM). - Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments. - Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration. - Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors. - Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level. - Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC. NICE TO HAVES: - Experience at a fast-growing tech or AI company where the security program had to outpace headcount. - A background in IT engineering, SRE, or production engineering that transitioned into security engineering. - Experience building internal security tooling or workflows that improved employee or developer experience. - Contributions to the security community through open-source tools, blog posts, or conference talks. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $200,000 - $220,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline. Key responsibilities Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the Security risk engineering Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction Risk assessment and quantification Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision Risk platform and automation Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical Remediation strategy and investment Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required Measure outcomes rather than activity, focusing on decisions made and risk reduced Minimum qualifications At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently Bachelor’s degree in a related field or equivalent experience Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++ Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes Experience leading cross-functional security initiatives and navigating complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all levels of the organization A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams Passion for AI safety and the role security and risk management play in building trustworthy AI systems Preferred qualifications Owned a named security risk and driven it from discovery through remediation across multiple teams Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge Built security automation, detection, or risk platforms adopted across an engineering organization Shipped LLM or agent-powered tooling and workflows that automate security or risk activities A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: €205.000 — €255.000 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: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. _______________________________________________________________________ RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. _______________________________________________________________________ QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$238,250 – CA$382,250 base United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding. About the role We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales. Responsibilities: Pipeline Ownership: Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements. Full-Stack Compliance Coverage: TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration CMS: case management data, transaction analysis tooling, bulk search, KYB operation data Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements Data Quality: Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do. AI-Accelerated Domain Building: Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation. Collaboration: Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows. Requirements: 4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration) Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling Strong data modelling skills for compliance or financial data (auditability, lineage, immutability) Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks Preferred Qualifications: Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains Background in crypto, fintech, or regulated financial services Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms AI/LLM tooling applied to data engineering in practice — concrete examples preferred Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Serbia; Georgia; United Arab Emirates; Portugal; Kazakhstan Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. We are looking for a Strategic Revenue Manager to become a key connector between commercial, finance, and operational teams. Your mission: analyze revenue and profitability performance, identify gaps, initiate and drive corrective actions, and ensure that revenue growth translates into sustainable margin improvement. This is not an administrative or supporting role – your impact will be measured by real business improvements in profitability, operational discipline and execution. This is a remote position. Job Responsibilities Revenue Performance Management Own the Plan-Fact review cycle across regions and commercial teams. Identify revenue, margin, and profitability deviations and drive root-cause diagnostics. Engage directly with Cluster Managers and Regional Directors to understand the business context behind performance deviations - not just the numbers. Build corrective action plans collaboratively with commercial stakeholders, balancing quantitative analysis with operational realities and market-specific insights. Facilitate cross-functional discussions to align stakeholders around priorities, solutions, and execution plans. Drive execution follow-through and maintain accountability across teams until measurable business outcomes are achieved. Escalate blockers and maintain decision-making momentum. Cost of Sales and Profitability Optimization Monitor Cost of Sales drivers and profitability performance across regions and partners. Build visibility frameworks and actionable profitability reporting. Lead cross-functional initiatives focused on margin improvement and operational efficiency. Support optimization of partner economics, payment conditions, and commercial profitability. Governance and Strategic Support Establish scalable governance processes for revenue and margin management. Support budgeting, forecasting, marketing investment cases, and strategic commercial initiatives. Partner closely with Revenue leadership, FP&A, Marketing, Analytics, and Commercial teams. Requirements Fluent English. 3–6+ years of experience in roles combining commercial exposure, analytical rigor, and operational ownership. Experience working directly with senior commercial stakeholders and influencing business decisions without formal authority. Background in Revenue Operations, Commercial Finance, FP&A, Business Performance, Strategy & Operations, or Consulting with P&L exposure. Strong understanding of profitability and performance metrics, including Gross Margin, Contribution Margin, CoS, CAC, LTV, and P&L logic. Proven ability to build governance processes and operational frameworks in complex cross-functional environments. Advanced Excel skills and comfort working with BI tools and data teams. Benefits Fully remote work within European time zones; flexible working schedule. Direct exposure to senior commercial leadership and strategic business decisions. A role with real business impact - not a support function. High ownership and visibility across the organization. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: London, UK DataArt’s AI Lab helps organizations turn AI from experimentation into transformation — with practical, scalable solutions that drive real business outcomes. We combine strategic advisory, deep engineering, and reusable delivery accelerators through our Connect AI framework to enable smarter operations, faster decision-making, and sustainable growth. As part of our AI & ML team, you’ll lead and contribute to AI strategy and implementation initiatives — from roadmap design and maturity assessments to co-building pilots and reusable solution patterns. You’ll work across industries and functions, applying GenAI, data science, and modern cloud-native architectures to solve complex, high-impact challenges. This role blends strategic thinking with hands-on execution, and offers the opportunity to shape how AI is delivered at scale. DataArt AI Lab is looking for a Senior AI Consultant to join its core team and support a range of initiatives focused on AI-driven transformation. The role involves close collaboration with AI Lab leadership and cross-functional teams to design and implement AI solutions that enhance productivity, enable smarter workflows, and drive innovation across different domains and industries. Lead AI strategy engagements from opportunity discovery through roadmap development, aligning AI adoption with client business goals, tech stack, and operating model Shape reusable solution architectures using modular components, copilots, and delivery accelerators from the Connect AI framework to ensure scalable, cross-client value Translate complex AI capabilities into business impact, working closely with CxO-level stakeholders to prioritize initiatives and quantify ROI Design and facilitate client workshops to align on goals, surface high-impact use cases, and assess AI maturity across technical, organizational, and data dimensions Contribute to DataArt’s evolving AI offerings, including vertical accelerators, governance models, and productized services with pricing and go-to-market relevance 3–5+ years in AI, digital transformation, or strategy consulting, ideally in client-facing roles within tech-driven or innovation-led engagements Proven ability to define enterprise AI strategies and roadmaps, including maturity assessments, capability planning, and use case prioritization Strong business and technical fluency, with the ability to bridge AI/ML concepts and modern architectures with measurable executive-level business value Experience designing reusable toolkits, delivery frameworks, or productized services — ideally contributing to IP-backed consulting models Familiarity with GenAI ecosystems (e.g., LLMs, RAG, prompt engineering, agents) and their application across industry verticals and business functions Solid understanding of technical principles and architecture of ML/LLM applications and AI agents Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML service offerings Strong communication skills and effective stakeholder management Master’s degree in Computer Science, AI, Machine Learning, or a related field Exposure to AI monetization models, including usage-based pricing, enablement fees, or outcome-driven commercial constructs

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Palo Alto Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the VC Partnerships Lead at Anthropic, you will drive transformative growth and strategic alignment by forging and managing high-impact startup partnerships. You will drive the adoption of Anthropic's cutting-edge AI capabilities within the startup ecosystem. In this role, you will design and execute innovative programs that enable startups to easily access and utilize Anthropic's advanced AI models. Your goal will be to scale our reach and impact by engaging with startups directly and through the accelerator ecosystem. This is an individual contributor role with broad ownership — you'll operate with high autonomy, partnering closely with sales, marketing, and product teams to build and run our startup partnerships motion. Key responsibilities Develop and lead Anthropic's startup partnerships strategy, leveraging our AI technology and industry partnerships Build relationships with key VC firms, and entrepreneurial communities Create compelling startup-focused offerings, programs, and growth initiatives Cultivate strong relationships with current and new accelerator partnerships; build out relationship models, own touch points, and drive outcomes such that accelerator portfolio companies are choosing to build on Claude Plan and execute startup-focused events, campaigns, and promotions to drive awareness and adoption Gather product feedback and represent the needs of the startup community to inform Anthropic's product roadmap Track and report on key metrics to measure the success and ROI of startup initiatives Minimum qualifications Have 7+ years of experience in partnerships, founder/operator roles, growth, or technical GTM roles—we're looking for builders Have a deep understanding of the startup ecosystem and AI/ML technology landscape—can speak credibly about technical products to technical audiences Have built relationships with VCs, worked at a VC firm, or successfully partnered with accelerators to drive portfolio engagement Excel at 0-to-1 program building—comfortable building from scratch, wearing multiple hats, and scaling based on data Proven ability to develop and execute complex, cross-functional go-to-market programs Possess exceptional communication skills—outstanding writer who crafts narratives for founders, developers, and VCs Thrive in fast-paced environments with bias to action and comfort with ambiguity BA/BS degree or equivalent practical experience Preferred qualifications Founded a company or led product at a high-growth startup Direct experience working for or with venture capital firms like Y Combinator, Lightspeed Ventures, Accel, a16z, Sequoia Capital Technical background—former developer, PM with hands-on coding experience, or deep familiarity with AI/ML development workflows Developer advocate or developer relations background with active presence in technical communities Familiarity with large language models and their applications in generative AI Existing relationships with venture capital firms, startup accelerators, and entrepreneurial communities 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 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Agent Architecture: What primitives do we need to build agents that are steerable and verifiable, but also conversational and empathetic? How do we future-proof this as LLMs evolve? - Retrieval: How do we ground answers in a customer’s knowledge base? How do we use retrieved context conversationally, handling cases where the answer is unclear or needs clarification from the user? - Evals: How do we measure an agent’s quality? How do empower our customers to improve agent quality? - Voice: How do we make our chat agents “just work” over the phone? How do we deliver lifelike conversations at low latency? - Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench https://sierra.ai/blog/benchmarking-ai-agents) - Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents? - Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC https://sierra.ai/blog/agent-development-life-cycle) - Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play? WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York, United States; United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale. The Team Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. The role This is a full-time, on-site role based in our New York office. As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. Your responsibilities will include: Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements. Lead technical discovery and solution design during pre-sales and expansion conversations. Scope, build, and deliver proofs of concept that demonstrate clear business and technical value. Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications. Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production. Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value. Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input. Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation. Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews. Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts. We expect you to have: 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development. Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks. Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout. Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems. Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers. High autonomy, strong ownership, and comfort operating in a fast-moving startup environment. Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations. Based in New York City, or willing to relocate. It will be an added bonus if you have: Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI. Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems. Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management. Track record helping large customers move from POC to production. Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets. Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company. Compensation We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore, Singapore Workplace: Hybrid ABOUT PAVE BANK Pave Bank is building modern financial infrastructure across payments, banking, trading, and digital asset services. We operate at the intersection of regulated finance, technology, and global capital movement, with a focus on creating products that are operationally robust, commercially scalable, and technically sophisticated. We are looking for a Product Manager who is comfortable operating in ambiguity, translating complex business problems into executable product and engineering outcomes, and helping shape new business verticals from the ground up. This is not a traditional “roadmap maintenance” product role. The ideal candidate is commercially curious, technically literate, and excited to work across multiple domains within financial services. Over time, we expect this role to evolve into ownership of a business unit or strategic product vertical.   WHAT YOU’LL DO Drive Cross-Functional Product Execution - Work closely with leadership, operations, compliance, partnerships, and engineering teams to shape and launch new capabilities. - Translate business needs, operational workflows, and strategic goals into clear product requirements and execution plans. - Partner with engineers on product design, technical tradeoffs, implementation sequencing, and delivery. - Help define APIs, workflows, operational tooling, and user experiences across financial products. Operate Across Multiple Financial Domains You may work across: - Cross-border payments - Banking infrastructure - Trading and liquidity products - Investment-related initiatives - Treasury and settlement workflows - Client-facing financial tooling The role requires comfort switching contexts quickly and developing working fluency in multiple parts of the financial stack. Strategic and Commercial Thinking - Identify opportunities for new product lines, operational efficiencies, or market expansion. - Contribute to business cases, market sizing, pricing considerations, and go-to-market thinking. - Work with stakeholders to evaluate commercial viability and operational feasibility of new initiatives. - Think beyond feature delivery and understand how products contribute to revenue, risk, and long-term company positioning. Communication & Alignment - Act as the bridge between business and technical teams. - Bring clarity to ambiguous problems and align stakeholders around priorities and execution. - Communicate effectively with both highly technical engineers and commercially-focused stakeholders.   WHAT WE’RE LOOKING FOR Strong Product & Business Judgment - Ability to break down ambiguous business problems into structured execution plans. - Strong intuition for prioritization, tradeoffs, and operational practicality. - Commercial mindset with interest in how financial products create value. Technical Fluency You do not need to be an engineer, but you should be comfortable: - Working closely with backend and infrastructure teams - Understanding APIs, workflows, and system dependencies - Discussing implementation tradeoffs with engineers - Writing clear and structured product requirements Adaptability - Comfortable operating in fast-moving environments with evolving priorities. - Able to move between strategic discussions and execution details. - Curious and proactive in unfamiliar domains. Communication Skills - Clear written and verbal communication. - Ability to synthesize complex topics into actionable decisions. - Comfortable engaging with senior stakeholders and cross-functional teams.   Nice to Have - Experience in fintech, banking, payments, trading, or financial services - Exposure to regulated environments - Experience working with engineering teams on backend-heavy products - Background in consulting, startups, strategy, operations, or technical product management - Experience building 0→1 products or new business initiatives   WHY THIS ROLE IS DIFFERENT This role is designed for someone who wants to grow beyond traditional product management. You will be exposed to: - Strategic business decisions - Financial infrastructure and global payments - Technical systems and operational workflows - New market and product expansion - Leadership opportunities across emerging business lines We are looking for someone who wants to help build the business. WHAT WE OFFER: - The opportunity to shape the future of programmable banking and define new standards for global business finance. - A mission-driven, diverse, and international team with deep domain expertise and a passion for innovation. - Competitive compensation and benefits package. - Equity in the company—so you're aligned with our growth and success.

Location: New Delhi, India; Pune, India; Philippines Top 3 Reasons To Join Us Competitive salary, strong equity and sales incentive package Working on the latest tech for the insurtech market leader Shaping the future of the insurance industry About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global next-gen insurance platform for health, life, and P&C We work with insurance enterprise clients such as AXA, Bupa, MSIG, Marsh, Sun Life, Dai-ichi, and many more We have been recognized as the leading insurtech company by Fortune, Financial Times, CNBC, Statista, Asia Insurance Review and many others We're an international, diverse team of over 250 people with 40 nationalities and team members working remotely from all over the world We are backed by reputable VC funds and strategic institutional investors We have a global presence and clients in Asia, Europe, the Middle East, Africa, North America and Latin America We have built one of the fastest growing insurtech ecosystems with over 100K followers on LinkedIn We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do CoverGo is looking for a Product Solutions Consultant to lead the solution-consulting and product demonstration experience across the sales cycle. Sitting at the intersection of Sales, Product, and Delivery, you will run tailored platform demos, facilitate discovery and solution-design workshops, and translate insurer requirements into compelling, configured demonstrations of the CoverGo platform. You are someone who actively uses AI tools as a force multiplier — to draft faster, research deeper, and operate at a pace that keeps up with a high-velocity sales environment. You should be comfortable engaging both technical evaluators and C-level decision-makers, and confident owning the technical narrative that wins enterprise insurance deals. Lead tailored product demonstrations of the CoverGo platform across health, life, and P&C use cases, adapting the story to each insurer's priorities Design and facilitate discovery calls, solution-design sessions, and client workshops to understand, analyze, and clarify requirements and scope Build and configure proof-of-concept insurance products in the CoverGo platform to showcase capabilities and features to clients Use AI tools (e.g. LLMs, prompt engineering, AI-assisted research) as a core part of the workflow — to generate demo scripts, draft RFP/RFI responses, produce proposals, and accelerate content turnaround across the presales cycle Partner with the Sales team throughout the sales conversion process, providing solution consulting that advances and closes opportunities Translate client requirements into solution overviews, value propositions, and techno-commercial proposals Collaborate with Solutions Architects, Product, and Engineering/Delivery teams on feasibility, effort estimation, and the best solution approach for each client Support the handover to the Delivery team once deals are closed-won, and help lead project kick-off meetings Provide enablement and training to develop clients' usage of the platform through technical information and guidance Build and maintain a reusable library of demo assets, templates, and a presales knowledge base to scale the function and reduce repeat effort Any other task that may be assigned What We Need Bachelor's degree in Insurance, Technology, Business Administration, Sales, or a related field 5+ years of experience in presales, solution consulting, sales engineering, or pre-sales business analysis Strong experience working in the insurance or insurtech industry is required Strong proficiency with AI tools (e.g. ChatGPT, Claude, Gemini, Copilot, or equivalent LLM-based tools) and the ability to apply them practically to presales workflows such as demo prep, content creation, and proposal writing is required Demonstrated experience delivering demos, workshops, and presentations to enterprise and C-level audiences Solid understanding of insurance business processes across at least one line of business (e.g. product setup, underwriting, pricing, policy administration, endorsements, billing, renewals, and/or claims) Experience configuring and demonstrating SaaS platforms; exposure to no-code or low-code platforms is an advantage Exceptional presentation and communication capabilities in written and verbal English, proficiency in other languages is an advantage Strong storytelling ability able to make platform value tangible and relevant to each audience Excellent facilitation, interpersonal, and stakeholder-management skills with the ability to engage an audience Why You'll Love Working Here International Environment Health Insurance Company activities and team offsites Diverse, talented and fun team to work with Open communication and flat hierarchy Global mobility opportunities Training and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: New York, US About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. For New York City based hires: Estimated annual salary of $234,000 - $292,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Senior Atlassian Engineer , you will develop and manage our Atlassian platform (Jira, Jira Service Management, and Confluence) and its integrations, and help business units adopt it into their processes. The role balances deep technical and workflow expertise with strong communication skills. You’ll run the platform like an internal product, not a ticketing system: owning outcomes, modernizing how DRW works, and leading the adoption of AI-native workflows across the firm. You’ll be right at home if you: Have 5+ years of experience as a Jira Administrator, Developer, Architect or similar role, supporting Jira, JSM, and Confluence in an enterprise, multi-team environment. Deep Jira development expertise, from custom workflows to advanced scripting, ideally in an Agile environment. Experience administering and supporting Confluence, including spaces, permissions, templates, and apps. Experience migrating Jira and Confluence from Data Center to Cloud, including planning, data validation, and cutover, is a must. Hands-on experience with Jira Service Management (JSM) and ITSM best practices, including designing and configuring complex service desk workflows. Experience building HR and enterprise service workflows in JSM, such as onboarding, offboarding, access requests, and employee case management. Experience designing and managing Jira Assets (CMDB), including object schemas, data imports and integrations, and linking assets to service requests and workflows, is a plus. Experience with third-party integrations (e.g., Slack, SharePoint, Exalate) and building custom ones using REST APIs, webhooks, and middleware (e.g., MuleSoft, Zapier); scripting in Python, Groovy, or JavaScript is a strong plus. Comfortable with Git, sandbox-to-production promotion, testing, and change management in a controlled environment. Hands-on experience building with AI-native tools, such as Rovo, Claude, MCP servers, agent frameworks, and prompt-based workflows, to automate business processes. Practical grasp of AI guardrails such as permissions, data security, and monitoring. Excellent communication skills with technical teams, consultants, and business stakeholders. Atlassian certifications (e.g., ACP-120 Jira Administrator, ACP-620 Jira Service Management, ACP-420 Confluence Administrator) are highly preferred. Have a bachelor’s degree in Information Technology, Computer Science, or a related field (or equivalent experience). What you’ll be working on: Platform Administration: Full support of our Jira and Confluence environments end to end, setting governance and configuration standards that keep the platform scalable and easy to use. Cloud Migration: Help deliver our Data Center to Cloud migration, from planning through cutover, with minimal business disruption. Service Management: Build and optimize JSM service desks, Assets (CMDB), and HR workflows (e.g., onboarding, offboarding, case management), streamlining request types, SLAs, and routing so employees get fast, predictable service. System Integrations: Design and maintain integrations between Atlassian and adjacent business systems (e.g., Slack, HR platforms, identity providers) so data flows reliably and teams avoid duplicate work. Platform Health & Hygiene: Own monitoring, auditing, and data hygiene practices so the platform stays performant, compliant, and audit-ready. Automation & Self-Service: Drive automation and self-service that measurably cuts manual effort, improves the user experience, and scales support without adding headcount. AI Enablement: Drive AI adoption on the platform by building and deploying agents, connectors, and prompt-based workflows (e.g., Rovo, Claude, MCP servers) that automate triage, knowledge retrieval, and routine requests, with the guardrails a regulated environment requires. Platform Roadmap: Identify opportunities to modernize internal processes and adopt new Atlassian capabilities, and help shape the platform roadmap with IT leadership. Stakeholder Partnership: Partner with teams across DRW to understand their needs, align on common processes, and deliver secure, tailored Atlassian solutions. Consultant Management: Partner with external Atlassian consultants to ensure deliverables meet business requirements and deadlines. The annual base salary range for this position is $150,000 USD to $200,000 USD depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-AA1