Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE:
Sentry is expanding our Technical Customer Success team to support our growing customer base and drive deeper adoption of the Sentry Platform worldwide. As a Technical Customer Success Manager (TCSM), you’ll be a Sentry product expert responsible for ensuring customers are successfully onboarded, achieve maximum value from our platform, and uncover new opportunities for growth through additional use cases and products.
You’ll play a key role in helping customers realize measurable outcomes with Sentry. In this highly cross-functional role, you’ll collaborate closely with Account Executives (AEs), Sales Engineers (SEs), and Engineering teams to ensure customers’ technical and business goals are met.
This role requires strong technical expertise and a deep understanding of the Software Development Life Cycle (SDLC) and related technologies. If you’re a technologist with experience supporting technical products in customer-facing roles—and you’re eager to join a fast-growing team delivering real value through an exceptional product—we’d love to meet you.
IN THIS ROLE YOU WILL:
- Become a Sentry product expert and support customers by understanding their needs and helping them achieve their goals using the Sentry Platform.
- Drive customer success and health through effective onboarding, adoption, value realization, and retention.
- Collaborate with customer key stakeholders to define business and technical objectives, and work with the customer team to achieve them.
- Act as a trusted, strategic advisor to each assigned customer—driving best practices, innovation, and long-term success.
- Partner closely with the sales team to identify and drive expansions and new opportunities that result from customer success.
- Advocate for customers internally, clearly communicate customer needs and help prioritize improvements that enhance customer experience and product adoption.
YOU’LL LOVE THIS JOB IF YOU:
- Enjoy talking about technology and interfacing with engineers and engineering leaders
- Are looking to make an impact in the life of our customers through helping them achieve their technical and business goals
- Appreciate working on a variety of projects with customers from lots of different industries
- Like being “in the middle of it all”, working across the organization to move the product forward
- Have a fast-paced, results-driven mindset
- Love developer tools, open-source, and/or all things software development life cycle!
QUALIFICATIONS:
- This is a technical role combined with business skills. You have to have strong technical background to be successful in this role
- BA/BS degree in CS or Computer Engineering-related field or equivalent experience is mandatory
- 5+ years of experience in Customer Success, Account Management, Management Consulting, or another customer-facing role
- Strong industry experience and technical understanding related to Devs, DevOps, application monitoring, software release tools, and/or broader cloud-native application infrastructure platforms
- Experience in working with complex, multi-divisional, multi-geographical customers
- Impressive executive presence and communication abilities
- Experience working with cross-functional teams (e.g. Sales, Product, Marketing, ProServices)
- You’re driven; no one needs to push you to excel; it’s just who you are
- Passion for technology and being a part of a fast-growing SaaS company
Bonus qualifications
- Past experience as a developer/devops
- Extensive knowledge in application monitoring, Logs, Metrics, Traces
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Argentina; Brazil; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients.
ABOUT THE PROJECT
Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents.
Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels.
We are developing a customer support research and resolution platform. The platform will include:
- data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows.
- agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes
- research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers)
The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.
WHAT YOU’LL DO
- Design and implement AI-powered features: integrate LLM and build AI agents.
- Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete.
- Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents.
- Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases.
- Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments.
- Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI.
- Participate in technical design reviews, shaping architectural decisions and engineering standards.
WHO ARE YOU
- You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors.
- You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built.
- You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically).
- You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems.
- You have a strong understanding of distributed systems design patterns.
- You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively.
- You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications.
- You are fluent in at least one non-JS programming language (Java is a strong advantage).
- You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives.
- You thrive in environments where AI isn’t a side feature but a core building block.
- You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed.
- You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments.
WHAT YOU BRING
- 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js.
- 9+ months of commercial experience building AI features using OpenAI ecosystem.
- Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows.
- Experience designing and implementing MCP servers to integrate external capabilities with LLMs.
- Proven ability to design structured prompt architectures with evals, guardrails and observability.
- Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration.
- Strong fundamentals in building secure, performant, production-grade APIs and backend systems.
- Experience with CI/CD, testing, monitoring, and cloud infrastructure.
ADDITIONAL SKILLS
- Understanding concepts of semantic search is a strong advantage.
- Experience playing a role of team leaders is a strong advantage.
- Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage.
- Experience with streaming UIs, conversational UX, and SSE/WebSockets.
- Knowledge of prompt injection defenses and responsible AI practices.
TECH STACK
This platform is a green-field development.
- Core: TypeScript, Node.js, React/Next.js, Java
- AI: OpenAI API, MCP servers, OpenAI Agents SDK
- APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much)
- Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines
- Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged.
This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones.
We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow.
You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking.
Responsibilities:
Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site
Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel
Define technical direction for the team—establish patterns others can follow
Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy
Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders
Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers
Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization
You may be a good fit if you have:
Strong full-stack engineering with design sensibility
6+ years building and shipping web products, with deep expertise across the stack
Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail
Solid back-end and data pipeline experience: Python, API design, analytics infrastructure
A portfolio showcasing innovative interaction designs and high-quality implementations
Track record of independently driving features from prototype to production
Deep conviction about human capability
Strong perspective on how technology should enhance human capabilities rather than diminish them
Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable
Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes
Research mindset with product execution
Comfort with ambiguity and exploring undefined problem spaces
Ability to rapidly prototype, test with users, and iterate toward production
Strong instincts for product design and user experience, even without formal design training
Strategic leadership and coalition building
Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders
Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner
Strong sense of prioritization—knowing what to build now, what to defer, and what to cut
Track record of influencing roadmaps and decisions beyond your immediate team
Strong candidates may also have:
Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site
Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed)
Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production
Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity
Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy
Experience building AI-native product experiences or working with LLMs in production contexts
Strong candidates may also have
Background in learning sciences, cognitive science, HCI, or educational psychology
Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement
Published writing, talks, or open-source work on skill development or human-AI interaction
Experience building AI-native product experiences or working with LLMs in production
What this role is not
This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We invite an experienced Technical Lead to join our ALM Domain for collaborating within Scrum teams. ALM Domain supports and evolves the Creatio .NET Core platform: authentication mechanisms, APIs for Redis (NoSQL) and WebSocket, and internal tools/frameworks for configuration development. We also own key system capabilities such as change log and access rights setup, extend the Timeline service and relationships details, build the new licensing UI, and develop the Static Content Bundling service. We collaborate closely, support each other daily, and use our diverse perspectives to find the best solution.
Key Responsibilities:
Lead the design and development of architectural solutions and prototypes alongside the system architect and development team.
Build, test, and debug high-quality back-end code.
Support seamless product operation by addressing customer cases and ensuring system reliability.
Continuously monitor and optimize development processes to enhance team productivity and quality.
Drive adoption of innovative tools, standards, and best practices in software development.
Collaborate closely with product managers, stakeholders, and leadership to align technical vision with business goals.
Conduct technical interviews, mentor developers, and facilitate onboarding and professional growth.
Requirements:
Minimum 6 years of software development experience with full-stack expertise in .NET and Angular.
At least 1 year in a technical lead or team lead role, guiding teams successfully.
Strong mastery of object-oriented programming and solid application of KISS, SOLID, and DRY principles.
Proficient in C# and modern .NET runtime environments (.NET 6+), including ASP.NET MVC, Core, and Web API development.
Hands-on experience with microservices, containerization, Kubernetes, and Helm for orchestration.
Deep knowledge of Angular 15+ with ability to build new components and optimize existing ones in a monorepo using RXJS and pipeline operators.
Skilled in JavaScript, TypeScript, DOM manipulation, CSS/SASS, and UI styling per design specifications.
Experience using Git and SVN with workflows involving branching, merging, and rebasing.
Strong unit testing background including NUnit, mocking frameworks, and API testing with Postman.
English proficiency at Upper-Intermediate level or above, both spoken and written.
Location: Kuala Lumpur
Workplace: onsite
ABOUT YOU
We are looking for a Senior QA Engineer with strong Web3 experience to join our engineering team. You are meticulous, technically sharp, and deeply curious about decentralized technologies. You understand the nuances of blockchain interactions, wallet integrations, smart contract behavior, and hybrid on‑chain/off‑chain systems.
You thrive in fast‑paced, agile environments and bring a proactive approach to quality—anticipating risks, validating distributed systems, and ensuring seamless user experiences across Web3‑enabled features. You are confident in manual testing, comfortable with API‑level validation, and eager to integrate AI‑driven testing tools to improve coverage, speed, and defect detection.
If you’re excited to shape quality practices for blockchain‑enabled products and help define how Web3 experiences should feel for millions of users, we’d love to meet you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Core QA Ownership
Lead manual testing of complex Web3 and platform features across multiple environments
Validate blockchain interactions, wallet flows (e.g., MetaMask, WalletConnect), and decentralized identity/authentication
Test smart contract interactions, event handling, and on‑chain/off‑chain data synchronization
Drive exploratory, functional, and regression testing using structured documentation and deep product knowledge
Identify, log, and track reproducible issues with precision using Jira or similar tools
Web3‑Specific Quality Work
Verify blockchain node responses, RPC interactions, and event‑driven workflows
Validate transaction signing, wallet authentication, and multi‑chain compatibility
Collaborate with engineers to test smart contract upgrades, migrations, and versioning
Monitor production logs, blockchain explorers, and analytics dashboards to detect anomalies
Process & Tooling
Create and maintain detailed test cases, checklists, and QA documentation
Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage for Web3 components
Evaluate and integrate AI‑powered testing tools (e.g., automated test generation, log analysis, visual regression)
Set up and manage test environments, staging pipelines, and job configurations
Conduct load, stress, and performance testing—especially around high‑volume Web3 interactions
Quality Leadership
Act as a quality advocate across sprint planning, reviews, and release cycles
Mentor junior QA engineers and promote a culture of proactive quality ownership
Contribute to best practices for testing decentralized systems and hybrid architectures
Qualifications & Skills
Required
Minimum 7 years of total QA experience
, including ownership of end‑to‑end quality
At least 2 years of hands‑on Web3 testing experience
, covering blockchain integrations, wallet flows, or decentralized systems
Strong understanding of manual testing methodologies and defect life cycle
Familiarity with blockchain fundamentals (e.g., transactions, gas, confirmations, RPC endpoints)
Experience validating APIs using Postman or similar tools
Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git)
Comfortable using browser developer tools and basic terminal/command‑line workflows
Strong verbal and written English communication skills
Familiarity with AI‑powered testing tools (e.g., test case generation, smart prioritization, AI log analysis)
Good to Have
Good to Have
Experience with wallet testing (MetaMask, Coinbase Wallet, WalletConnect, custom wallets)
Understanding of smart contracts, Solidity basics, or blockchain debugging tools
Experience with automated testing frameworks (Playwright, Cypress, Selenium)
Knowledge of backend technologies, APIs, and familiarity with PHP or related languages
Experience working in Linux environments and using Bash scripting
Hands‑on experience with AI platforms used in QA contexts
BENEFITS:
Convenient work tools
Latest Mac workplaces + additional hardware to make you more effective at work
Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab
Professional growth
Free trainings and participation in specialized conferences
Rich knowledge exchange within the company
More perks
Health insurance (Medical, dental and optical)- Employee and dependants
Flexible hours: organize your day according to your needs and sprint & teamwork demands
No dress code
Comfortable and new office environment
The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
For more vacancies: https://xsolla.com/careers
Location: Cairo, Egypt; Rabat, Morocco; Riyadh, Saudi Arabia; Delhi, India
Müller's Solutions is looking for a passionate
ServiceNow Business Analyst
to join our talented team. In this critical role, you will act as a bridge between business stakeholders and the technical team, ensuring that the implemented ServiceNow solutions effectively meet business needs and drive operational excellence.
Key Responsibilities:
Collaborate with stakeholders to gather, analyze, and document business requirements related to ServiceNow implementations.
Conduct process analysis and mapping to identify opportunities for improvement within ServiceNow.
Translate business requirements into functional specifications for the technical team.
Facilitate workshops and meetings to interface with users and gather feedback on ServiceNow solutions.
Assist in the development of test cases and conduct user acceptance testing (UAT) to validate solutions.
Provide support and training to users to promote understanding of ServiceNow functionalities.
Monitor and analyze metrics to recommend improvements and enhancements to existing processes.
Requirements
Requirements:
Bachelor’s degree in Business Administration, Information Technology, or related field.
Minimum 3 years of experience as a Business Analyst, preferably in IT service management or ServiceNow projects.
Strong understanding of ServiceNow functionality and its applications within business processes.
Excellent analytical skills with a focus on identifying and addressing business needs.
Proficient with process mapping tools and techniques.
Exceptional communication and interpersonal skills to engage effectively with both technical and non-technical stakeholders.
Ability to work collaboratively and manage multiple priorities in a fast-paced environment.
Knowledge of ITIL practices and relevant ServiceNow certifications are a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Cairo, Egypt; Rabat, Morocco; Riyadh, Saudi Arabia; Delhi, India
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
We're looking for a Product Engineer to join as an early member of our new Enterprise team. The consumer story has demonstrated Replit’s magic and now we are seeing use cases emerge in the B2B space that are ripe for innovation and growth. It is a critical area for our success this year and beyond.
You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you'll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact.
IN THIS ROLE YOU WILL:
- Build and own features across the full stack that serve enterprise customers, from backend services to user-facing interfaces
- Design and implement scalable solutions for teams and organizations. This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization.
- Work directly with customers to understand their needs and iterate on solutions
- Contribute to technical decisions and architecture for the Enterprise platform
- Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences
- Mentor other engineers and raise the bar for engineering excellence
- Ship quickly and iterate based on customer feedback and usage data
REQUIRED SKILLS AND EXPERIENCE:
- Strong full stack engineering skills with experience shipping production code
- Experience building B2B or enterprise software products
- Comfort working across the stack - from databases and APIs to frontend frameworks
- Strong product sense and ability to translate customer needs into technical solutions
- Experience with modern web technologies (React, Node.js, TypeScript, or similar)
- Track record of shipping high-impact features and taking ownership of projects
- Excellent communication skills and ability to collaborate with cross-functional teams
- Curiosity and willingness to learn new technologies and domains
NICE TO HAVE:
- Experience with enterprise authentication and authorization systems (SSO, SAML, SCIM)
- Experience with AI/LLM integration in applications
- Understanding of developer tools, internal tools, and workflows
- Previous experience in a high-growth startup environment
- Contributions to open-source projects
TOOLS + TECH STACK FOR THIS ROLE:
- React, TypeScript, CSS, GraphQL, Node.js, and Postgres
THIS ROLE MAY NOT BE A FIT IF:
- You prefer working exclusively on backend systems without user interaction
- You're uncomfortable with the pace and changing priorities of a startup environment
- You require highly structured requirements and aren't comfortable with ambiguity
This is a full-time role that is held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
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:
$265,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: US - Remote
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. As an Strategic Account Executive 7 at Wrike, you will play a critical role in landing & expanding key enterprise accounts. You’ll own the full sales cycle with new logos, expansion, engaging at C-suite/executive level, partnering with cross-functional teams, and demonstrating Wrike’s impact on enterprise transformation and ROI. You’ll thrive in a fast-paced, high-growth environment where your consultative approach and tenacity will directly unlock new business and deepen Wrike’s brand as a leader in the market.
If you’re a collaborative professional who thrives in a fast-paced environment and enjoys connecting technology solutions to real business challenges, we want to hear from you!
Your Impact:
Develop, manage, and close complex sales cycles; prospecting, leading discovery, presenting business cases, negotiating contracts, and landing new logos at the enterprise level (10,000+ employees).
Deliver compelling presentations and business cases to executive audiences, demonstrating strategic thinking, business acumen, and exceptional consultative communication skills.
Provide highly accurate and insight-driven monthly, quarterly, and annual pipeline forecasts, and maintain meticulous CRM (Salesforce) hygiene.
Serve as an expert consultant on digital and operational transformation; drive opportunities to upsell, cross-sell, and expand engagement within enterprise accounts.
Proactively lead and coordinate cross-functional account teams—including Marketing, Sales Development, Solution Consultants, Legal, Security, and Implementation—to deliver a world-class enterprise client experience.
Skillfully navigate complex legal, procurement, compliance, and security processes in collaboration with internal teams and enterprise client stakeholders.
Stay at the forefront of SaaS trends and industry best practices to be a valued advisor to your clients and the broader Wrike team.
Guide enterprise buyers through organizational change management and adoption planning, ensuring alignment, education, and readiness across large buying groups.
Ensure a seamless and comprehensive handoff to Customer Success and Implementation teams, clearly documenting goals, expectations, and key learnings for ongoing client engagement.
Regularly capture and communicate enterprise customer insights, competitive intelligence, and market feedback to Product, Sales, and Marketing leadership for continuous improvement.
Mentor and support development of junior account executives, sharing best practices and contributing to team enablement initiatives.
Your Qualifications:
Fluent in English (verbal and written)
5+ years of successful full-cycle SaaS sales experience, including enterprise-level new business acquisition (large deal sizes, multiple stakeholders)
Demonstrated success executing complex deals with Fortune 1000/Global 5000 organizations and C-suite stakeholders
Skilled in delivering consultative, solution-based sales cycles using methodologies like MEDDIC, Challenger, or Question-Based Selling
Outstanding executive presence, business acumen, and ability to translate technical value into compelling ROI/value stories tailored to customer needs
Proven ability to manage multiple sales processes and large pipelines, with consistent attainment or overachievement of quotas
Strong written, verbal, and presentation skills; comfortable leading high-stakes executive meetings and product demos
Experience managing legal, procurement, and information security processes for large enterprise agreements
Proficiency with Salesforce and the modern SaaS sales tech stack
Standout Qualities:
Experience in work management, project management, or a track record of selling to our ideal customer profiles (ICPs) in Marketing, Professional Services, Manufacturing or Engineering
Additional language proficiency (if relevant to the territory)
Team Dynamics:
You’ll join Wrike’s high-performing New Business team, where your primary focus will be acquiring new enterprise customers and driving revenue growth. As a key member of our enterprise sales organization, you’ll play a critical role in expanding Wrike’s presence by landing new logos, shaping our go-to-market strategy, and fueling our continued growth in the enterprise segment.
Our Work Style:
Collaborative Culture: Work alongside ambitious, supportive colleagues who celebrate wins together
Comprehensive Training: Structured onboarding and ongoing sales enablement to help you master our product and refine your skills
Work Flexibility: Options for remote work with the support you need to succeed from your home or the office
Competitive Compensation: Base salary plus uncapped commission structure that rewards performance
Benefits & Perks:
Flexible Time Off (FTO)
Company 401(k) Match
Parental Leave: 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Health Insurance (Employees + Dependents)
Disability (STD, LTD) & Life Insurance Plans
Working from Home Allowance ($40 / Monthly)
$500 Working from Home home office set-up Stipend
Your recruitment buddy will be
Aziza Talhi
, Senior Recruiter.
#LI-AT1
The range below reflects the total on-target earnings (including base salary and performance-based bonus potential) for this full-time position and applies to all U.S. locations, excluding benefits and other incentives. The final offer within this range will consider factors such as the role, seniority level, geographic location, and employment contract type. An individual’s work location, unique skills, experience, and relevant educational background will also influence the final offer. For tailored compensation details based on your preferred location, please discuss with your recruiter during the hiring process.
Total compensation pay range
$230,000
—
$255,000 USD
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Key responsibilities
Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Minimum qualifications
Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native-level Japanese fluency and business-level English required
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Preferred qualifications
5+ years of relevant experience
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers.
The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers
Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets
Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases
Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota
Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations
Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors
Minimum qualifications
5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations
A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases
Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies
Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process
Excellent communication skills, with the ability to present confidently across healthcare audiences — from physicians and nurses to C-suite executives and payor leadership
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organizations
A strategic, analytical approach to assessing the healthcare market, paired with creative, tactical execution to capture opportunities
Experience developing and refining healthcare AI use cases in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency
Passion for and/or experience with advanced AI systems and their clinical applications, with strong conviction around safe, ethical development for AI in clinical use
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:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a
Senior Forward-Deployed Engineer
to join our Professional Services team. This role is focused on working directly alongside developer teams in our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption.
In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions - all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's eve framework and AI SDK.
Our Forward-Deployed Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value - all while building long-term relationships that expand our partnership with each customer.
There are two main profiles for this role: Next.js experts, and AI builders. Next.js experts work on deep customer code optimization, performance audits, AEO and SEO, and teaching customers how to build Next.js apps with AI instrumentation - such as Claude Code, Codex, Cursor, etc with Next.js and Vercel agent skills. The AI builder profile is less focused on deep Next.js experience, and more on identifying, evangelizing, and building AI applications and agentic workflows. Your job in this role will be to understand customers’ businesses, scope, design, and build AI agents, and prove their value. The two profiles are not mutually exclusive and we appreciate expertise in both.
You will report to the Global Manager of Forward Deployed Engineering. This role is remote-first with travel to customer sites expected occasionally. Travel requirements vary, but most of our engineers travel no more than 3-4 days every other month.
What you'll do
Build production AI solutions
using Vercel's
eve
framework, AI SDK, and AI Cloud infrastructure, including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations.
Lead complex frontend migrations -
modernizing legacy React, Vue, or other frameworks to Next.js, including Pages to App Router transitions, incremental adoption strategies, and large-scale codebase transformations. Automation of migrations is key to engineering efficiency.
Conduct code audits and help analyze and improve website performance
, analyzing customer codebases for performance bottlenecks, architectural anti-patterns, and optimization opportunities - delivering actionable roadmaps that drive measurable improvements.
Architect and implement high-performance Next.js applications
, leveraging App Router, Server Components, streaming, ISR, and advanced rendering strategies to meet enterprise scale and performance requirements.
Embed with strategic customers
to build production applications - working within their systems, understanding their constraints, and shipping TypeScript code that goes live.
Drive enablement and knowledge transfer
through workshops, pair programming, and documentation - ensuring customer teams can extend and maintain solutions independently.
Navigate complex enterprise environments
by building relationships with stakeholders across engineering, product, and executive teams - translating technical capabilities into business outcomes.
Contribute to our service evolution
by identifying repeatable patterns, building reusable components, and sharing implementation insights back to Product and Engineering teams.
What you need
6+ years of experience
in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions architecture, forward deployed engineering, or technical founder experience).
Experience using AI instrumentation
such as harnesses, skills, and MCPs to build and deploy web applications, backend systems, and/or agentic workflows.
High agency with comfort in ambiguity -
you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to create a plan and drive a project.
Exceptional communication skills
with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships - all with a low-ego, collaborative approach.
Business acumen
to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles.
Willingness to travel
occasionally to customer sites for embedded work and relationship building.
Next.js-focused Candidates:
Expert-level TypeScript skills -
You are fluent in TypeScript and have strong opinions on type safety, patterns, and tooling.
Deep expertise in Next.js
, with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), and incremental static regeneration (ISR), and personalization.
Demonstrated experience leading frontend migrations -
you've converted legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments.
Mastery of React
and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features.
AI-focused Candidates:
Production experience with LLMs and AI applications
, including agent development, cloud sandbox & filesystem agent patterns, human-in-the-loop patterns, and value optimization. Familiarity with Vercel's eve framework and AI SDK is strongly preferred.
Ability to identify business cases for AI agents
- many customers need guidance not only on how to build AI agents, but where and why to use AI. You’ll need to listen and understand a day-in-the-life of customers’ teams to build proposals.
Bonus if you
Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems.
Have taught others how to develop software using AI, best practices for building agents, harnesses, skills, and MCPs.
Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments.
Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale.
Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries.
Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures.
Have a background in financial services, healthcare, retail/e-commerce, or media - industries with complex frontend ecosystems and growing AI adoption.
Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications.
Benefits:
Great compensation package and stock options.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays.
Remote Friendly - Work with teammates from different time zones across the globe.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.
Key responsibilities
Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives
Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
Establish and implement reporting dashboards and scorecards to track key operational and financial metrics
Minimum qualifications
Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Excitement about working in a fast paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
GTM Finance Business Partnership experience
A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
Experience with consumption based and/or complex business models
High knowledge of and interest in effective go-to-market strategies including deal-desk management
Background in AI, ML, or related technologies
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; New York City
Workplace: Hybrid
WHAT YOU’LL DO
Drive Revenue & Qualify Opportunities
- Balance dual inbound and outbound responsibilities to drive pipeline growth
- Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff
- Execute targeted outbound campaigns to penetrate specific industry verticals
Strategic Outbound & Market Development
- Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects
- Research and map accounts within assigned verticals to build comprehensive prospect lists
- Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise
- Contribute to top of funnel strategy
Sales Operations & Excellence
- Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented
- Respond rapidly to inbound inquiries with consultative, value-driven communication
- Build and iterate on outbound sequences that drive consistent pipeline generation
What You'll Need
Core competencies
- Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders
- Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges
- Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle
- Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level
- Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs)
- Data-driven approach to tracking conversion rates, response times, and pipeline metrics
- Intellectual curiosity about how AI and advanced search transform enterprise workflows
- Ability to thrive in a fast-paced environment where processes are still being defined
Nice to Haves
- 9 months to two years in SaaS sales development or business development roles
- Experience selling to technical and non-technical buyers
- Familiarity with enterprise AI/ML solutions or search technologies
- Track record of consistently achieving 100%+ of quota
- Pulling data with Salesforce Reporting, SQL or Business intelligence tools
- Bachelor's degree or equivalent practical experience
- Experience at a high-growth technology startup
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including quarterly reports and industry-specific deep dives
Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally
Develop new methodological approaches for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Develop causal-inference tooling — e.g. surrogate indexes, heterogeneous-effect pipelines — to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions
Build and maintain relationships with academic institutions, policy think tanks, and other research partners
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Translate research insights into actionable recommendations for both product decisions and policy discussions
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You May Be a Good Fit If You Have
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Some Examples of Our Recent Work
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Application Question
Please provide a writing sample, preferably a job-market paper or other article that showcases your research and technical expertise.
Deadline to apply: None. Applications are reviewed on a rolling basis
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem.
You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated.
Responsibilities:
Run an end-to-end sales cycle, from first outbound to launch
Win new business and expand existing accounts
Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue
Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions
Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives
Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams
Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective
You may be a good fit if you have:
4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
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
Excellent communication skills with the ability to build trust and credibility with C-level executives
Experience automating workflows or building automations to handle the repeatable components of a sales process
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Location:
This role does require being in office 4x a week in one of our hubs
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:
$290,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth.
The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles.
Responsibilities:
Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities
Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base
Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate
Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization
Conduct streamlined account health checks and identify early warning signs of churn risk
Partner with customers to understand their business models and product, advising them through their AI transformation, and gathering feedback to inform product development
Collaborate with Applied AI and other cross-functional teams to support customer technical needs
You may be a good fit if you have:
3-5 years of experience in sales, account management, customer success, or related roles
Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously
Strong communication skills with ability to build rapport quickly across various customer personas
Analytical mindset with comfort using data to prioritize accounts and identify trends
Enthusiasm for emerging technologies and genuine interest in AI
A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments
Strong candidates may have:
Experience with consumption-based or usage-based pricing models
Familiarity with technical products, APIs, or developer-focused solutions
Experience working with startup customers or in a high-growth startup environment
Exposure to AI/ML concepts and applications
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:
$222,800
—
$290,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридseniorSan Francisco, California
УдалённоseniorArgentina; Brazil; Colombia
Не хотите искать каждый день?
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With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
Tokyo, Japan
География найма не уточнена
Hybrid - London, Berlin; Remote Friendly - Work with teammates from different time zones across the globe
Seoul, South Korea
San Francisco; New York City
San Francisco, CA
middleГеография найма не уточнена
New York City, NY; San Francisco, CA
Все вакансии в одном месте - страница 191 · Job Hunters
