Location: New York, United States; United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About Tavily
We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale.
The Team
Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success.
The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion.
The role
This is a full-time, on-site role based in our New York office.
As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications.
You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal.
Your responsibilities will include:
Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements.
Lead technical discovery and solution design during pre-sales and expansion conversations.
Scope, build, and deliver proofs of concept that demonstrate clear business and technical value.
Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications.
Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production.
Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value.
Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input.
Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation.
Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews.
Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts.
We expect you to have:
5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant.
Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development.
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks.
Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout.
Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems.
Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers.
High autonomy, strong ownership, and comfort operating in a fast-moving startup environment.
Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations.
Based in New York City, or willing to relocate.
It will be an added bonus if you have:
Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI.
Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems.
Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management.
Track record helping large customers move from POC to production.
Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets.
Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company.
Compensation
We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law.
#LI-BH3
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zamboanga City, Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Puerto Princesa City, Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
QUALIFICATIONS
- 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping for both consumer and enterprise audiences.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
Location: San Francisco, CA
Senior Visual Communication Designer
In a nutshell:
Visual Communication Designers at IDEO make the biggest impact through visual storytelling. They work collaboratively with multidisciplinary teams to bring ideas, research, strategy, and stories to life through strong craft execution.
The ideal candidate has a strong foundation in graphic design and experience applying practical and conceptual design principles across brand expression, interaction and digital product experiences, motion, and storytelling. We’re looking for designers who bring a distinct visual voice, curiosity, and a commitment to craft excellence.
In this role, you will…
You’ll work as a key contributor on project teams, supporting all phases of the design process—from early exploration and prototyping through to polished, client-facing deliverables. Your work may span brand, storytelling, motion, interaction and digital product, information design, packaging, and environmental expression.
Once here you will:
Collaborate with multidisciplinary teams to translate research and strategy into compelling visual narratives
Contribute to the development and expression of brand identities across mediums
Create looks-like/works-like prototypes at varying levels of fidelity to explore and communicate design directions
Design thoughtful experiences across digital, physical, and hybrid touchpoints with the end user in mind
Produce high-quality visual deliverables that communicate user stories and strategic intent working across a variety of industries (health, financial services, consumer products, etc.)
Advocate for exceptional visual craft through making, iteration, and collaboration
Some previous projects to check out:
Cornell Lab of Ornithology Brand
Los Angeles County Department of Mental Health
The Lawrence Hall of Science, University of California Berkeley
Cities United Rebrand
Design Craft:
Relevant experience and/or educational background required in interactive/graphic design across a variety of applications and media
Strong portfolio demonstrating elevated design craft, typography, layout, and visual storytelling
Extensive experience with tools such as Adobe Creative Suite and Figma
Familiarity with motion and interaction tools (After Effects, prototyping platforms, etc.)
Comfort collaborating in client-facing presentation environments such as Google Slides and FigJam/Figma Slides
Curiosity and openness to experimenting with emerging mediums including 3D, motion, and AI-assisted design
Diverse Experience:
Experience establishing and expressing brand identity, from understanding strategy through creative interpretation and execution, including: visual identities, brand systems, and guidelines for implementation
Experience in concept ideation, design research, and prototyping, with a curiosity for learning and experimenting across visual, digital, and experiential mediums
Ability to work across a wide range of design challenges, recognizing patterns, and translating insights into thoughtful visual solutions
Comfort moving between exploratory and polished work, helping teams bring ideas to life through strong craft and storytelling
Key Mindsets:
Collaborative and adaptable: able to navigate team dynamics,timelines, and client contexts while delivering exceptional design.
Growth oriented and resilient: open to feedback, eager to iterate, and comfortable learning through experimentation and critique
Curious and proactive: able to generate ideas, take initiative, and contribute wherever needed, from early exploration to final delivery.
What does IDEO offer you?
IDEO is a place where you can solve diverse, complex challenges for our clients and their organizations, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and humility. We intentionally craft moments that allow our community to pause, create, and connect. We encourage our community to bring their whole selves to work, respect the need for work-life balance, and allow for autonomy in the design process and your career.
Payscale & Benefits
IDEO is committed to paying its employees, contractors & vendors equitably, regardless of gender identity or race/ethnicity/cultural identity.
The salary range for this role is $80,000–$100,000 USD. Final offers may vary based on candidate experience, location, and other factors. As a full-time position, this role is eligible for employee benefits.
Location: Almaty, Kazakhstan
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
At Wolt, we make cities better by connecting customers, merchants, and courier partners through our platform. We are looking for a Support Manager to lead Team Leads, drive performance, and help scale support operations with a strong focus on service quality and continuous improvement.
What you’ll be doing
Work together with the Head of Support and take full ownership of the experience and satisfaction of the customers and partners
Contribute to strategic initiatives and their execution in order to constantly improve the service proposition
Guide and coach the team in order to improve the associate’s performance, personal development and happiness
Implement new work procedures and features and encourage feedback around these
Analyze and optimize customer and partner touchpoints and look for patterns in incoming requests and workforce management to then put them into actions and improvements.
Collaborate closely with other teams to meet the needs of the customers and improve overall level of service.
Day-to-day in this role you’ll:
Lead, coach, and develop a team of Team Leads to ensure high performance and engagement.
Drive operational KPIs, including quality, productivity, customer satisfaction, and service levels.
Analyze performance data and identify opportunities for improvement.
Partner with cross-functional stakeholders to solve operational challenges and improve the customer experience.
Lead process improvement, automation, and AI adoption initiatives within Support.
Support workforce planning, performance management, and team growth.
Foster a culture of accountability, continuous learning, and operational excellence.
Our humble expectations
You can formulate yourself very well, both verbally as well as in written form in English and Kazakh
or
Russian
You are customer obsessed and have experience in Customer Support or Customer Service.
You have relevant experience in leading a team.
You enjoy working together and leading a growing team, and making sure your colleagues always understand the purpose of what they do and what defines a great performance.
Multitasking is your strong suit and you’re prepared to manage multiple incoming interactions simultaneously, and effortlessly determine which to prioritise.
You are able to translate data into actions and make the rest of the core team understand how Customer Support is progressing, so you need to have good Excel skills.
You have a can-do attitude and are ready to roll up your sleeves and get to work in a fast-paced startup environment.
You have strong presentational skills and proficiency in Office tools
What we offer
A unique opportunity to lead and develop support leaders in one of Europe’s fastest-growing technology companies.
High ownership and visibility, with the ability to directly influence team performance and customer experience.
The chance to drive operational excellence, process improvements, and AI adoption at scale.
A collaborative, low-hierarchy culture where your ideas and initiatives can make a real impact.
Opportunities for professional growth, leadership development, and internal career progression.
Competitive compensation, benefits, and the flexibility of working in a fast-paced, international environment.
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! 💙
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Budapest, Hungary
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Szeretnéd önállóan irányítani a Wolt Market Keleti csapatát és vezetni az adott műszakot? Emellett rendelkezel korábbi bolti tapasztalattal? Ha a válaszod igen, olvass tovább!
Csatlakozz hozzánk még ma teljes munkaidőben, és építsük tovább együtt a Wolt Marketet a Keletiben! 🤩
Mi lesz a feladatod?
vásárlói elégedettség biztosítása
a márka képviselőjeként a Wolt népszerűsítése
precíz, pontos munkavégzés
együttműködés a csapattal, tagok motiválása
részvétel a bolt napi működésében
Mit várunk tőled?
bolti, raktári eladói tapasztalat
műszakvezetőként szerzett tapasztalat előnyt jelent, de nem feltétel
önálló, proaktív munkavégzés
asszertív kommunikáció
multitasking képességnapközbeni, esti és hétvégi műszakok vállalása - a Wolt Market Keleti hétfőtől péntekig reggel 6.00-tól este 23.00-ig tart nyitva, szombatonként és vasárnapokon pedig reggel 8.00-tól 23.00-ig.
folyékony magyar nyelvtudás (fluent in Hungarian)
legalább alapszintű angol nyelvtudás
Mit kínálunk mi?
Wolt-os dolgozói kedvezmény, kreditek formájában
Cafeteria juttatás, Szép Kártya formájában
All You Can Move Kártya lehetőség
Wolt-specifikus tréning programok
Csapatépítők és egyéb közös céges események
A következő lépés
Ha szívesen dolgoznál olyan környezetben, ahol gyorsan fejlődhetsz, ha szeretsz felelősséget vállalni a feladataidért, ha szeretnél egy extrém ambiciózus csapat tagja lenni, akkor kattints és beszélgessünk!
Folyamatosan dolgozzuk fel a beérkező jelentkezéseket, szóval küldd el, amilyen gyorsan csak lehet! 💙
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: General Santos City (Dadiangas), Philippines
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Salt Lake City, Utah, United States
About the Role
The ideal candidate for this role is a strong cloud architect who excels at both big-picture thinking as well as hands-on technical work. With very strong AWS, Kubernetes and web infrastructure skillsets, they will be working on projects building or improving our core compute, core network and edge infrastructure.They also play a critical role in helping the iCapital platform scale and doing so with an automation-first mentality. The engineer will work with application and platform teams to onboard services, establish connectivity, troubleshoot traffic flows, and maintain consistent networking patterns across environments.
Responsibilities
Design and continually improve Kubernetes architecture, also helping operationally manage cluster lifecycle.
Work on projects integrating new self-hosted and SaaS services, in some cases understanding and working with developers to help design software architecture
Manage Transit Gateway, Network Firewall and external connectivity. Own architectural guidance for edge and traffic management, including CDN, DNS, and TLS strategies (e.g., Akamai, Cloudflare).
Produce and maintain reference architectures, design documents, and architectural guardrails
Partner with engineering, security, and product teams to ensure platform standards are practical, well understood, and broadly adopted.
Qualifications
8+ years of experience in platform, cloud, or infrastructure engineering roles, with demonstrated architectural responsibility. Must have strong hands-on experience designing and operating Kubernetes platforms in production environments, including a strong understanding of autoscaling strategies, node provisioning, and security on EKS.
Deep understanding of AWS infrastructure, including networking, security primitives, and managed services. This includes expertise in cloud networking architecture patterns, including VPC design, routing, and planning for scale.
Strong understanding of ingress/egress, TGW design and private connectivity.
Comfortable operating as a senior individual contributor with influence across multiple teams as a leader.
Very Strong written and verbal communication skills, with the ability to explain architectural decisions to both technical and nontechnical audiences.
Preferred Qualifications
Expertise in Kong or other API Gateways at a deep level
Experience directly managing Akamai in a production environment
Strong understanding of application design principles
Some experience with EKS standards such as Bottlerocket, Karpenter, Auto-mode
A software engineering background is helpful, and some experience with Python expected.
Certifications (AWS / Kubernetes) are a plus but not required.
Benefits
The base salary range for this role is $130,000 to $160,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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 Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.
About the Impact
The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.
We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.
Responsibilities:
Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities
You may be a good fit if you:
Have 3+ years in operations, consulting, product management, or program management roles
Have exceptional project management skills with ability to handle multiple complex projects simultaneously
Have strong communication skills and can engage effectively with technical and non-technical stakeholders
Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
Are highly organized and can navigate ambiguity effectively
Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
Thrive in fast-paced research environments with shifting priorities
Are passionate about AI safety and understand the critical importance of high-quality data
Strong candidates may also have:
Experience with data collection, labeling, or annotation operations for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Background working with research teams at AI companies or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting background with experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$365,000 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; Palo Alto; New York City
ABOUT THE ROLE
The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.
This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
KEY RESPONSIBILITIES
- Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.
- Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.
- Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.
- Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.
- Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.
- Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.
QUALIFICATIONS
- Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
- Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.
- Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
- Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
- Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.
- Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; Palo Alto; New York City
ABOUT THE ROLE
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.
KEY RESPONSIBILITIES
- Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
- Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
- Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
- Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
- Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.
- Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
- Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.
- Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.
QUALIFICATIONS
- 5+ years (Senior) or 8+ years (Staff) of software engineering experience.
- Strong experience building production data infrastructure systems.
- Hands-on experience with batch and/or streaming data processing at scale.
- Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
- Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
- Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
- Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
- Familiarity with data quality, lineage, observability, and governance tooling.
- Prior ownership of internal platforms used by many teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; Palo Alto; London; Berlin; Belgrade; New York City
ABOUT THE ROLE
The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers.
As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises.
KEY RESPONSIBILITIES
- Own the roadmap and technical strategy for agent-driven cloud infrastructure management.
- Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads.
- Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
- Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails.
- Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks.
- Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers.
- Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments.
QUALIFICATIONS
- Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity).
- Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups.
- Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds).
- Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints.
- Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling.
- Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes.
- 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: Budapest, Hungary
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Csapatjátékosok figyelem! Szereted a rugalmas és dinamikus munkakörnyezetet, ahol részt vehetsz a kereskedelem jövőjének kialakításában? Ha igen, akkor olvass tovább!
Csatlakozz hozzánk még ma teljes-vagy részmunkaidőben, és építsük tovább együtt a Wolt Marketet Budán! 🤩
Mi lesz a feladatod?
Rendelések elfogadása az alkalmazásunkon keresztül
A beérkező áru feldolgozása
Megrendelt termékek összekészítése, csomagolása és átadása a futároknak, vagy a vásárlóknak
A belső rendszerünk naprakészen tartása a termékek adataival
A bolt rendjének és tisztaságának fenntartása
Részvétel a bolt működésének folyamatos fejlesztésében
Mit várunk tőled?
Gyors tanulási- és multitasking képességet
Proaktivitást, szolgáltatói szemléletet
Önállóságot, ambíciót, a gyors tempójú startup környezet szeretetét
Napközbeni, esti és hétvégi műszakok vállalását egyaránt - A Wolt Market Buda a hét minden napján reggel 6 órától éjfélig tart nyitva!
Bolti vagy raktári tapasztalat előny, de nem feltétel
Legalább alapszintű angol nyelvtudást
Folyékony magyar nyelvtudás (Fluent in Hungarian)
Mit kínálunk mi?
Wolt-os dolgozói kedvezmény, kreditek formájában
Cafeteria juttatás, Szép Kártya formájában
All You Can Move Kártya lehetőség
Wolt-specifikus tréning programok
Csapatépítők és egyéb közös céges események
A következő lépés
Ha szívesen dolgoznál olyan környezetben, ahol gyorsan fejlődhetsz, ha szeretsz felelősséget vállalni a feladataidért, ha szeretnél egy extrém ambiciózus csapat tagja lenni, akkor kattints és beszélgessünk!
Folyamatosan dolgozzuk fel a beérkező jelentkezéseket, szóval küldd el, amilyen gyorsan csak lehet! 💙
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: New York City; Remote (United States); San Francisco
ABOUT THE ROLE
We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast.
You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time.
You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers.
WHAT YOU'LL DO
- Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft
- Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves
- Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs
- Work with Brand to keep visual consistency across every web touchpoint
- Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer
- Bring a strong point of view on layout, typography, motion, and interaction design for the web
- Raise the floor on self-serve page creation so the design team can focus on the highest-craft work
WHAT WE'RE LOOKING FOR
- A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first
- Excellent visual design skills with a clear sense of brand, typography, and composition
- Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems
- Experience at the intersection of brand and growth — you understand conversion without sacrificing craft
- Comfort working fast and iterating in real time alongside engineers
- Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance
- A clear opinion on what makes a great web page, and the ability to articulate why
NICE TO HAVE
- Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship)
- Background in brand or marketing design at a consumer tech company
- Familiarity with SEO fundamentals and how design decisions affect discoverability
- Motion design skills for web interactions and micro-animations
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model.
As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user.
This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work.
Key responsibilities
Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate
Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage
Partner with computer-use researchers
Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows
Instrument products and use usage data to drive prioritization and measure progress
Translate fuzzy user pain points into concrete, shippable features for knowledge workers
Minimum qualifications
Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
Strong full-stack engineering skills, including production web frontend and backend development
Hands-on experience building with LLM APIs, prompting, or agent frameworks
A track record of shipping to external users and iterating based on their feedback
Preferred qualifications
Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
Experience with browser automation, desktop automation, or robotic process automation systems
Experience building evals or quality harnesses for machine learning systems
Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
Representative projects
Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage
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
—
$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.
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