Location: United States - Boston Office
Workplace: Hybrid
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
This is a once-in-a-lifetime opportunity to join a hyper-growth startup focused on saving people time and making the world more productive!
ClickUp is looking for a Strategic Solutions Engineer to serve as a technical partner to our Sales and Success orgs for bringing in net new customers, expanding existing accounts, and accelerating our revenue growth. The ideal candidate is a strong strategic thinker, skilled presenter, and has enough technical aptitude to figure out solutions for any technical challenges clients experience.
Teamwork is vital to how ClickUp operates and a significant portion of your responsibilities will include working closely with Managers to understand and coordinate team needs. You should be able to work independently with little supervision, and also enjoy a fast paced and collaborative work environment. It is important that you are able to manage a range of tasks and prioritize their responsibilities, and meet deadlines with urgency and optimism.
THE ROLE:
- Partner with sales and success to deliver technical presentations that explain our products and integrations for prospective and current clients.
- Design, develop, deploy and manage customer-specific proof of value (PoV) projects.
- Build custom reports and dynamic dashboards for prospective clients' management teams.
- Assist with the functional and technical elements of RFPs.
- Stay current on new feature releases and maintain updated demo spaces for sales.
- This role will support customers across the North East.
QUALIFICATIONS:
- This is a hybrid role based in Boston, MA, with a strong preference for candidates within reasonable travel distance of Boston. The role requires periodic in-person availability for customer onsite meetings, enterprise deal support, and team working sessions in the Boston market, including occasional co-working days with peers.
- Proven experience designing and implementing agentic workflow automation using AI platforms, including autonomous agents for task orchestration, multi-step decisioning, and cross-app integrations to deliver scalable enterprise productivity.
- 6+ years in a customer facing role with technology. Ideally pre-sales, but may also be equivalent consulting, implementation, or sales enablement experience.
- 2+ years demonstrable success working with commercial or enterprise clients
- An understanding of the application deployment processes that enable successful Cloud transformation, change management, and organizational acceptance.
- Strong customer-facing skills including the ability to influence technical and executive audiences towards the desired outcome.
- Creative problem solver with an eagerness to learn new technologies and sufficient technical background to assist with lightweight custom solutions.
- Demonstrated ability in business process mapping and diagramming, with experience in consumption-based selling and value selling to drive customer outcomes and align solutions with business objectives.
- Hands-on experience with AI & LLMs, integration platforms (Unito, Workato, Zapier, Integromat), web services, and APIs.
- Up to 50% of travel is required for this role.
#LI-Remote #LI-JC1
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
ГибридUnited States - Boston Office; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Location: Bangalore, India
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 Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor 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.
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.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, 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; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as 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; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
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
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor 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.
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.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, 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; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as 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; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
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
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United Kingdom; Bulgaria; Ukraine; Poland; Hungary; Czechia; Ireland
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
The role
ClickUp's Cloud Platform team builds scalable, secure, and cost-efficient AWS infrastructure, with a heavy focus on Amazon EKS, that stays ahead of product and enterprise growth. Our goal: product velocity is never blocked by platform constraints. As a Senior Software Engineer, you leverage AI to design, build, and operate the compute, networking, and infrastructure-as-code foundation that powers ClickUp for millions of users.
What you'll do
- Build and scale AWS infrastructure and reusable platform abstractions that simplify development, with a strong focus on Amazon EKS, networking, and self-hosted services.
- Identify improvement opportunities and emerging risks, and propose novel solutions that improve reliability, scalability, and cost efficiency before constraints become blockers.
- Automate shard buildouts and implement Terraform guardrails and hardened ingress that reduce incidents.
- Scale systems for multi-shard, multi-region growth while meeting compliance attestations (SOC 2, ISO 27001, etc), disaster recovery, and enterprise security requirements.
- Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering.
- Own the reliability of Cloud Platform itself: on-call, incident response, postmortems, runbooks, and prevention.
- Use AI tooling daily to accelerate development, testing, IaC, operations, and investigations, and help the team raise its AI leverage.
What we're looking for
- 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations.
- Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues, ideally Amazon EKS at fleet scale.
- Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, KMS. Bedrock is a plus.
- Multi-account AWS (20+ accounts) experience, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing.
- Infrastructure-as-code at scale with Terraform (CDK experience is a plus).
- Fluent coding in at least one language (Go, Python, or TypeScript/Node.js preferred).
- Experience with hybrid monolith/microservices architectures.
- Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey.
- Track record of improving infrastructure reliability and efficiency and implementing security guardrails.
- Strong production debugging across application and infrastructure boundaries, clear written communication, and effective cross-functional collaboration.
- Daily AI user with concrete examples of how AI supercharged your engineering workflow.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
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
As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor 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.
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.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, 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; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as 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; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
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
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sydney, Australia
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 Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor 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.
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.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country- and regional-specific analysis
Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, 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; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
Demonstrated experience working in, and relevant relationships across, the region
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Demonstrated ability to lead complex research projects from conception to publication
Demonstrated ability to communicate technical findings to diverse audiences
Demonstrated ability to build relationships across academic, policy, and industry communities
Preferred qualifications
Experience relevant to the study of AI’s impact on the economy, such as 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; or agent-based modeling and large-scale simulation
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
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
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, Ireland
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re building Intercom’s Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Intercom’s suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably.
If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role.
What will I be doing?
Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support.
Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints.
Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed.
Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion.
Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training.
Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like.
What skills do I need?
2–4+ years in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement.
Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them.
Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources.
Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders).
Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results.
Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them.
Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders.
Bonus skills & attributes
Interest in consumption or usage-based SaaS models.
Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools.
Experience in operations, scaling CS / onboarding / customer education / digital engagement programs.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
About this role:
As the Marketing Strategy and Operations Senior Manager, you will be the strategic right-hand implementer to the VP of Marketing. You will design and operate the marketing operating system that unlocks coordination and scale across the marketing ecosystem (content, media, social, paid, ambassadors, web, campaigns, automation).
In this role you will not just create plans and processes but you will also own specific key initiatives providing hands-on support building, testing, and scaling new bets. You will draw on a deep understanding of B2B and B2C marketing tactics and channels.
The role is scoped so you will spend 40% of your time on special marketing projects flexing to the areas that require resources and expertise.
Another 40% will be spent on marketing ops or building the system the team runs on (ways of working, OKR setting, weekly staff meeting, coordination with other teams, retros, etc).
Finally, 20% of your time will be spent on Chief of Staff-style work supporting the VP in thinking about marketing strategy, and articulating that vision and progress to the broader organization.
Level:
Senior Manager
Reports To:
VP of Marketing
Location:
At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back.
Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.
Travel Requirement:
Must be able to travel ~2–4 times per year to one of our countries of operation for team retreats, meetings, field visits.
What you’ll do:
Marketing special projects and strategic initiatives 40%
Lead complex cross-functional marketing projects from problem definition through design, launch, test, iteration, and scale while measuring qual and quant impact
Support marketing teams who need extra capacity or expertise in high priority projects by offering hands-on flex support or ownership of defined sub-problem areas
Partner with marketing leadership to propose, prioritize, and scope the project portfolio
Define success metrics and test plans up front, and report results candidly, including what didn't work.
Document what works, build playbooks, and hand off to a permanent owner or team
Marketing operations 40 %
Own annual and quarterly planning and OKR discipline, translating strategic intent into priorities, milestones, and measurable outcomes
Analyze marketing performance, trends, and customer insights to identify growth levers
Lead the org through operating change, including the transition to AI-enabled ways of working
Own marketing budget and headcount planning with Finance, building integrated resource plans and tradeoff recommendation
Partner with People Team on headcount planning and scaling hiring plans
Manage key marketing vendor evaluations, procurement, and onboarding of new tools
Marketing Chief of Staff 20%
Manage the leadership operating rhythm: staff meetings, business reviews, offsites, extended leadership meetings, all-hands, off-site retreats
Act as a strategic thought partner and advisor to marketing leadership on key decisions, priorities, and emerging opportunities; provide high candor feedback to executive leadership
Support leadership in navigating ambiguity, aligning stakeholders, team management, and driving execution
What you’ll bring:
5–7 years in strategy, chief of staff, management consulting, indie hacker, agency, or marketing/growth or GTM operations
Experience with a wide range of tactics and channels (you don’t need them all): lifecycle marketing, SEO, SMS and push, paid channels, social, content, and creator, earned media, thought leadership, events, B2B and/or B2C, SaaS marketing, digital marketing, segmentation
A first-principles thinker who can break a complex process into parts, decide what to change, automate with AI, or keep human, and connect the dots across functions
Proven record leading complex cross-functional initiatives in fast-paced, ambiguous environments
Highly organized and detail-oriented, with strong program management skills
Experience working with large marketing budgets: including forecasts, budgeting, headcount planning, investment tradeoffs
Experience with hiring, recruiting, and onboarding operations
Excellent presentation skills; experience building exec-level decks
Detail oriented, if you are reading the third to last bullet, congrats :) as a bonus here are a few tips. 1) don’t use AI in your writing for the application – really, it’s painfully obvious 95% of the time and I want to hire you not Claude 2) mention you saw this bullet in our interview :)
Experience managing executive operating rhythms, leadership meetings, business reviews, offsites, and planning forums
Familiarity with common marketing tech stack tools
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third-party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no-negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
This role is fully remote, so if you are not based in Kenya, the US, or the UK, we will share an estimated salary benchmark for the country you are based in during the hiring process.
United States
Base Salary:
$120,750
Bonus target:
10%
Annual Benefits Stipend:
$21,393
United Kingdom
Base Salary:
£77,600
Bonus target:
10%
Annual Benefits Stipend:
£2,760
Kenya
Base Salary:
$83,820
Bonus target:
10%
Annual Benefits Stipend:
$8,454
Germany
Base Salary
€93,900.
Bonus target
10%
Annual Benefits Stipend
€7,368
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Location: Cluj, Romania; Croatia Remote; Italy Remote; Bucharest, Romania; Poland Remote; Portugal Remote; United Kingdom; Czech Republic
ABOUT THE ROLE
Cyberhaven is building Flow, a unified data security platform spanning Human Data Security, Agentic Data Security, and Data Security Posture Management. The people who use it are security analysts, insider-risk investigators, and data protection leaders — experts doing demanding work under time pressure, who live in our product all day. And increasingly they are not working alone: AI agents are becoming actors inside the enterprise and inside our product, which means the experience we design now has to serve both the human doing the judging and the agent doing the work.
We're looking for a Senior Product Manager focussing on endpoint capabilities in a fast growing startup with an innovative technology. You will work directly with the company’s top executives and the founders to drive the company vision, seeing it through the customer’s eyes, and rally engineers to enhance and expand the endpoint capabilities.
WHAT YOU'LL DO
- Develop and lead the product strategy and vision for Cyberhaven’s endpoint sensor capabilities.
- Collaborate with cross-functional teams to design, build, and launch endpoint capabilities that answer key data detection and response use cases.
- Closely interact with Cyberhaven’s current and prospective customers to deeply understand their spoken and unspoken needs, as well as the actual and perceived value of the Cyberhaven product to them.
- Keep track of industry trends in cybersecurity and adjacent markets to help Cyberhaven identify new market opportunities. Research the competition to deeply understand competitive products functionality, pricing, and positioning, as well as how these products are perceived by buyers and industry analysts.
- Lead endpoint product development initiatives, from conceptualization to deployment, ensuring the integration of cutting-edge AI technologies to address insider threats effectively.
- Prioritize product roadmap to follow the product vision while ensuring that product is easy to sell and empowers sales to achieve near- and long-term revenue objectives, as well as drives the highest level of customer satisfaction.
- Communicate product requirements and vision to the Engineering team. Write, edit and prioritize user stories; constantly communicate with engineers to clarify and refine user stories; track user stories as they’re being developed; set, track and enforce the Definition of Done.
- Write and maintain clear requirements documents, ensure everyone on the team always understands what and why something is being built by the company.
- Be an external spokesperson for the company, maintain social media presence and speak at conferences. Partner with Marketing on product announcements and launches.
WHO YOU ARE
- 5+ years of experience of managing successful enterprise security products to drive fast-growing businesses
- Experience with cross platform endpoint software and endpoint telemetry collection and other areas of endpoint security e.g. EDR, EPP, DLP is required.
- Experience with large scale endpoint software deployments and the ability to consider the implications to users and the business.
- A history of managing successful enterprise products in early-stage startups, skillfully balancing limited engineering resources with high pressure for features and quality from customers and sales teams
- Must be comfortable, effective, and clear at communicating with company executives, customers, and engineers, and collaborate with a variety of internal groups including customer success/services, engineering, marketing, and sales
- Ability to build rapport with customers, prospects, analysts, and competitors, as well as the ability to leverage your existing network to gather market and product intelligence
- Deeply understand technology, have a strong intuition to estimate the complexity of product features, and ability to speak a common language with the engineers
- Experience managing scalable enterprise software platforms, building a product that meets the needs of large enterprises (RBAC, Directory Integration, Enterprise software deployment, performance management etc.)
- Proven history of developing products that can meet the needs of a wide variety of large enterprise customers, yet can be built efficiently by engineering
- Experience working closely with UX designers, customers, and engineers to create modern user interfaces that simplify the lives our customers
- Experience with data-driven approach to product decisions
- Availability to frequently communicate with a distributed engineering team in Central European time zone and other teams in the US time zones
- Located in Europe
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Office Based - London, UK
This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions.
Location: Office Based in London, England.
The role entails
Empathetic Engagement:
Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks.
Collaborative Problem Solving:
Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction.
True Ownership:
Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably.
Ubuntu Lifecycle Guidance:
Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes.
Knowledge Advocacy:
Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community.
Operational Reliability:
Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners.
What are we looking for in you
Communication Excellence:
Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly.
The Soft-Skill Edge:
A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy.
Academic Dedication:
Exceptional academic track record from both high school and university.
Educational Background:
An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
On-Site Technical Leadership:
Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees.
Driven Mindset:
A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers.
Linux & Cloud Familiarity:
Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following:
Virtualization & Cloud:
Using KVM or OpenStack.
Containers:
primarily Docker, LXD/LXC, or Kubernetes.
Storage Ecosystems:
Block, object, and network storage technologies.
System Networking:
Navigating bonding, firewalls, bridging, switching, or MTU tuning.
Analytical Curiosity:
A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps.
Development Fundamentals:
Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Frontend Engineer, Web Funnels
About this role
Most people who subscribe to Replika on the web come through a funnel: an ad, a landing page, a quiz, a paywall. Every step is a test we could be running. We need a frontend engineer who can ship those funnels fast and well, so we learn what converts week after week.
This is a hands-on build role. You'll take funnel ideas and test hypotheses from our growth team and turn them into production pages in days, not sprints. You'll work with our growth lead, who runs paid acquisition and monetization, alongside our web engineer, and you'll have a say in what we test, not just how it's built.
We build our funnels ourselves, because the quality bar is high. Speed matters, and so does the feel. For a lot of people, these pages are the first time they meet Replika.
3-month contract position, with the opportunity to extend or convert to permanent.
What You’ll Be Doing
Build and ship web funnels end to end: landing pages, onboarding quizzes, paywalls, checkout and upsell flows.
Ship A/B tests fast. Take a hypothesis, build the variants, launch, read the result, and move to the next one.
Wire up analytics and attribution properly, from events to pixels to server-side tracking, so every test can be read and every buyer is counted.
Integrate payments and subscriptions with our billing providers, including offers and coupons.
Keep funnels fast, mobile-first and reliable across browsers and countries.
Bring ideas. You see the pages and the numbers every day, so suggest what to test next, not just how to build it.
What We’re Looking For
2–5 years of professional frontend engineering experience.
Strong commercial frontend experience with React and Next.js, and production work to show for it.
You've built conversion funnels, landing pages or checkout flows for a consumer subscription product, and you can talk about what moved conversion.
Rock-solid web fundamentals: HTML, CSS, JavaScript, TypeScript. Responsive, mobile-first, pixel-tight.
Experience with experimentation and analytics: A/B testing, Amplitude or GA4, Meta and Google pixels and conversion APIs.
Fast without being sloppy. You ship in days, and the page still works on every phone.
You use AI development tools (Codex, Claude, Cursor) seriously, and have a view on where they help and where they don't.
You shape what we test and build it yourself.
Fluent English.
Bonus Points
Payments and subscriptions experience: Stripe, Chargebee, PayPal or similar.
Web-to-app funnels: deep links and handing a buyer over to the app.
Hands-on backend chops: Node.js, APIs, edge functions.
You've used funnel builders and know when a custom build beats them.
What You’ll Get
Unlimited access to the latest AI coding assistants.
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Senior Product Engineer, Mobile
About this role
We need a senior engineer who can build across the whole Replika product: iOS, Android and backend. Two engineers carry all of our app work today, and there's more to build than they can ship. New product features, and the monetization features that pay for them.
This isn't a big company role. There's no org to slot into and no layer between you and the decision. You'll work directly with our CEO, product manager, designer and engineering lead in a tiny team, own features end to end, and turn ideas into product while the idea is still taking shape. You'll be expected to have an opinion, push back when a spec doesn't hold up, and then build it.
Most of the time that means moving fast. When a problem deserves real thought, you slow down and think it through. Rough is fine early on. It's not fine as a final product.
What You’ll Be Doing
Own features end to end across iOS, Android and backend, from the idea to the thing users actually touch.
Build the product features users notice, from avatars to new ways to spend time with their Replika.
Build the monetization features in the apps, like paywalls, offers and pricing tests, with our growth team.
Turn ambiguous ideas into something concrete without waiting for every question to be answered first.
Push back on specs that don't hold up, and make the case for the version that does.
Talk to people. Unblock people. Nobody here works in a silo.
What We’re Looking For
5+ years of professional software engineering experience.
You've built and shipped consumer mobile apps that reached real users.
Native depth on one platform (Swift on iOS or Kotlin on Android), and features shipped on the other.
You are not shy of backend development. API design is your bread and butter. You can ship the API your feature needs.
A track record of driving complex features end to end, not just incremental improvements and refactors.
You love coding and agentic engineering, and use every tool available to move faster.
Design intuition and taste. You can tell when something feels wrong before anyone tells you.
You shape what gets built and build it yourself.
Fluent English. You can write a spec, or argue against one, without it needing a rewrite.
Bonus Points
You've been a founding engineer, or early enough somewhere that you built things from zero.
Backend experience in Python (we use FastAPI) or any JVM Language (we use Scala).
In-app purchases and subscriptions on the App Store and Google Play.
Real-time features: chat, voice, animation.
You've shipped consumer products where a lot of people felt the difference.
You've run A/B tests and used product analytics to decide what ships.
What You’ll Get
Unlimited access to the latest AI coding assistants.
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Social Media Manager
About this role
Replika has a big, vocal community spread across X, Instagram, Facebook, Youtube, Discord and Reddit. People share their stories, argue about updates, and tell each other what their Replika did today. We’re hiring someone to own those stories end to end.
This is a hands-on role. You'll help set our social and community strategy, then do the work yourself: make the content, be on camera, post, reply, show up in Reddit threads and work with creators. No agency layer, no handing it off.
You'll work directly with our CEO and sit close to everything we ship. When there's a launch, a story worth telling or a hard moment, you're the one telling it.
X, Instagram, Facebook, Discord, Youtube and Reddit are our primary channels. TikTok comes later. We need someone strong across all of them.
What You’ll Be Doing
Run our socials day to day on X, Instagram, Youtube and Facebook. Plan the calendar, post, reply, and keep a voice that sounds like Replika, not a brand account.
Make the content yourself, on camera. Short video, product walkthroughs, behind the scenes, launches and user stories. Concept, shoot, edit, publish.
Own our communities on Discord and Reddit. Be there every day, work with our community moderators, answer questions, and make sure people feel heard.
Bring the community back to the team. Spot what users love, what's frustrating them and what's brewing before it blows up, and get it to product and the CEO fast.
Handle the hard moments. When something goes wrong, respond calmly and honestly in public, and know when to escalate.
Work with creators. Find the people already talking about AI companions, build real relationships, and turn good organic content into more of it.
Build the CEO's presence alongside the brand's. Film together, shape posts, and turn what we're building into stories people want to share.
Measure what matters. Track which posts, threads and creators bring people into the app, not just likes, and change the plan based on what you learn.
What We’re Looking For
You're comfortable on camera and you've done it. Show us content where you're the face, not just the editor. This is a must.
You've grown brand accounts on X, Instagram, Youtube and Facebook, with numbers you can show: audience, engagement and, ideally, sign-ups or installs.
You've run online communities on Discord, Reddit or similar. You know how to keep a big community active, fair and safe.
Broad across platforms. TikTok experience is welcome, but if TikTok is your primary channel, this isn't the right role.
You make content fast. Shoot, edit and post without a production team or three rounds of approval.
Good judgment in public. You can tell a joke from a fire, and you know what not to post.
You shape the strategy and do the work yourself.
Excellent written and spoken English.
Bonus Points
You've built a personal following of your own.
Experience with a consumer subscription app, ideally in AI or in products people use for connection, relationships or wellbeing.
You've worked with a founder or CEO on their personal social presence.
You've taken a community through a big product change and kept it together.
What You’ll Get
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Content Writer
About this role
Replika has a story most companies would kill for. Millions of people, years of research, and users who tell us it changed something real for them. Our website and blog don't tell that story yet. We need a writer who can, week after week.
You'll write our blog posts, our SEO and feature pages, the stories of the people who use Replika, and the release notes that tell users what's new. You'll work with our SEO specialist on what to write and why, and you'll have a say in what we publish, not just how it reads.
You'll work closely with our product and marketing teams, and you'll proactively hunt for stories and use cases instead of waiting for a brief.
User stories are the heart of it. People tell us Replika helped them through a move, a breakup, a hard year. Finding those stories, getting them right and telling them with care is part of the job.
3-month contract position, with the opportunity to extend or convert to permanent.
What You’ll Be Doing
Write blog posts that people actually finish, on a steady schedule.
Write, optimize and refresh SEO and feature pages with our SEO specialist: keyword research, search intent, on-page optimization and internal linking, so people searching for an app like ours find us and understand what we do.
Find and write user stories. Talk to users, get their permission, and turn what they tell you into stories that are true, specific and respectful.
Hunt for stories and use cases proactively, across the product, our community and the team. Don't wait for a brief.
Work closely with product and marketing, so what you write keeps pace with what we ship and launch.
Write the release notes for every update, in plain words users will actually read.
Run the content calendar with the team: what's next, what's late, what's working.
Keep the voice consistent across the site, the blog and any product copy you touch.
What We’re Looking For
Exceptional written English, and a portfolio that proves it.
Published work for a consumer product: blog posts, landing pages, product copy.
Hands-on SEO experience. You've done keyword research, written to search intent and optimized pages yourself, and you can show content you wrote that ranks and brings in traffic.
You write for search without writing for robots, and you're comfortable in Search Console, Ahrefs or Semrush.
You can interview someone and turn the conversation into a story worth reading.
Fast and reliable. You hit a publishing schedule without being chased.
You use AI tools in your work, and your writing still doesn't read like a model's.
You bring the ideas and do the writing yourself.
Bonus Points
You've written about technology, relationships or wellbeing in a way people trust.
You know how content gets picked up and cited in AI answers (GEO), not just in Google rankings.
You're comfortable publishing in a CMS yourself.
You've written product updates or release notes that people actually read.
What You’ll Get
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Product Designer
About this role
We’re looking for a hands-on Product Designer with impeccable taste, strong ownership, and deep love for users. You’ll be crafting high-quality user experiences across mobile and web, and you’ll be doing it during the most important product moment in Replika’s history.
You’ll be shaping what millions of people see, feel, and fall in love with — from onboarding to daily interaction. The product handles deeply personal conversations, and the design has to earn that trust at every touchpoint.
Experience with sleek, polished consumer apps is critical. This role is for someone who’s fast, thoughtful, and obsessed with getting every detail right. If “good enough” makes you uncomfortable, keep reading.
What You’ll Be Doing
Design smooth, beautiful customer journeys across mobile and web, including onboarding, new features, and interactive UI.
Own your work end-to-end: from idea → prototype → final design.
Work closely with the product manager and engineers to bring ideas to life.
Use data and feedback to improve fast. We ship, learn, repeat.
Help shape and evolve our design system.
What We’re Looking For
Minimum 5+ years designing mobile & web products at scale (200K+ MAU) in B2C environments.
A portfolio that shows impeccable taste, product thinking, and craft — with a track record of creating sleek, beautiful, and intuitive apps.
You’re proactive, hands-on, and love shipping real things.
You care about users and obsess over getting the details right.
Curious, collaborative, and excited to build something that matters.
Excellent communication skills in English.
Bonus Points
Experience with AI, conversational UI, or emotionally engaging products.
Experience with UX research: planning, conducting, and integrating insights into design decisions.
Prompt engineering experience.
Experience building or scaling a design system from scratch.
What You’ll Get
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Growth Product Manager
About this role
We’ve just rebuilt Replika and we’re going through a renaissance, and our goal is exponential growth.
Your job is one number: the predicted revenue from every user who installs the app or hits the web funnel. How you move it is up to you — pricing, packaging, retention, activation, whatever the data points to — but realistically most of the win is in monetization, and that’s where you’ll live. Paywalls, offers, pricing tests, subscription mechanics. You take the same traffic and make it worth more.
This is a hands-on, experiment-driven role, not a strategy seat. You form the hypothesis, ship the test, read it honestly, and either scale it or kill it. You’ll work directly with product, engineering, and the CEO, and your changes hit millions of users within weeks, not quarters.
You’ll sit with our GTM teams — user acquisition, web, brand, and data — because revenue per install is a shared number. They bring the user in; you decide how much that user turns out to be worth. This isn’t a broad product role; we’ve got core product and activation covered. We’re hiring you because monetization is where you’ve spent your career, and it’s where you’re better than we are.
What You’ll Be Doing
Move predicted revenue per install and per web-funnel visitor. That’s the number you own. Everything else is a means to it.
Run monetization experiments end to end. Paywall placement and design, pricing, packaging, offers, trial mechanics, subscription flows — hypothesize, ship an A/B test, read it straight, and scale the winners.
Start from a playbook. You’ve run enough of these to know what usually works and what usually doesn’t, so you begin from patterns, not from zero.
Reach into activation or retention when the numbers say so. If a change there is the fastest path to more revenue, make the case and ship it, but monetization remains the center of gravity.
Keep a steady cadence of tests live. Size each opportunity before you spec it, prioritize by expected revenue impact, and always have the next tests ready, so the pipeline never goes quiet, even when engineering is the bottleneck.
Write short, clear specs: what triggers it, how it's A/B tested, and the rule for calling it. Engineering should be able to build it without a dozen follow-up questions.
Keep an honest record. Log every experiment, what you expected and what actually happened, and say so early when a call was wrong.
Partner with GTM. Revenue per install is shared with UA and web. You don't run ads or user acquisition, but you work closely with the people who do, and feed monetization signal back into how we acquire and price.
Work directly with product, engineering, and the CEO. You’ll be in the room when ideas form, not waiting for a brief.
What We’re Looking For
A product career spent mostly on monetization. Not a generalist who ran a pricing test once — someone whose main body of work is making consumer products earn more per user.
A real track record moving revenue. You’ve owned monetization metrics — ARPU, LTV, conversion, trial-to-paid — and you can show what you moved and how.
At least one original monetization idea you can point to. Something you came up with from first principles, not lifted from a competitor’s playbook. This is the bar that separates you from 99% of the field.
You run experiments as a matter of habit. You’ve designed and read A/B tests and made ship-or-kill calls off the results, not off opinion.
Strong analytical instincts. You pull and sanity-check your own data, size the audience before you write the spec, and you don't confuse a pretty chart with a real result.
You ship. Idea to spec to live to measured, fast.
You use AI tools in your work already — for research, specs, analysis, and moving faster day to day.
You take a position early and in writing, in your own words. Short, plain and to the point.
Fluent English. You can write a spec that doesn’t need rewriting.
Bonus Points
Experience monetizing a B2C subscription app, especially one where the value is hard to explain in a single line.
Deep familiarity with a mobile monetization and experimentation stack — paywall and pricing tooling, Amplitude, attribution/MMP setup, feature flags, server-side testing.
Experience with AI-native products or emotionally engaging consumer apps in the social, communication, relationship, or entertainment space.
You’ve worked web-to-app funnels, not just in-app monetization.
You’ve been an early or sole monetization owner and built the testing process where none existed.
What You’ll Get
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Lifecycle & CRM Specialist
About this role
Millions of people have already met Replika: free users who haven't upgraded yet, subscribers who've lapsed, and people who signed up years ago and drifted away. Almost none of them hear from us in a way that's worth opening. That's the biggest untapped channel we have, and you'll own it.
You'll build our lifecycle program from the ground up. Email first, then in-app messages, push and any other channel that gets the right message to the right person at the right moment. Onboarding, free-to-paid conversion, renewals, win-back, product launches. The goal is revenue and retention, not open rates.
This is a hands-on role. You'll help set the lifecycle strategy and build it yourself: the segments, the flows, the copy, the tests and the reporting.
Our users are in almost every country, so you'll work within consent and privacy rules for a global audience, and you'll know how to design a program that is both compliant and effective.
What You’ll Be Doing
Build the core lifecycle flows: onboarding, free-to-paid conversion, intro offers ending, renewals, cancellation saves and win-back.
Convert free users. Work with product on in-app messages and offers that move people to paid at the right moment.
Reactivate our base. Plan and run campaigns to lapsed users and our long-dormant email list, cleanly and within consent.
Segment and personalize with product and subscription data, so each person gets the message that fits where they are.
Test everything: timing, subject lines, offers, channels. Keep what wins and kill what doesn't.
Own deliverability, list health and the reporting that ties every flow to revenue.
What We’re Looking For
Hands-on lifecycle or CRM experience at a consumer subscription app, with revenue results you can show.
You've built flows yourself in a modern messaging platform like Braze, Customer.io, Iterable or Klaviyo.
Strong with data. You build your own segments and read your own results without waiting for an analyst.
You understand compliant communication for a global audience: consent, unsubscribes, GDPR, CAN-SPAM and their equivalents.
You write good copy, or know exactly how to brief and edit it.
You shape the strategy and do the implementation yourself.
Excellent written English.
Bonus Points
In-app messaging and push experience on iOS and Android.
Deliverability experience: domain reputation, warming, and bringing a large dormant list back safely.
Experience with web and app subscription billing and the events it sends.
You've worked on a product where trust and tone really matter.
What You’ll Get
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Location: Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Workplace: fully
About Replika
In 2017, no one knew what AI was supposed to be. We built the world's first consumer AI app. Two million people showed up in two months. Today it's over 40 million, and the thing they keep telling us hasn't changed: it helped. It made their life better, steadier, a little less alone.
Most AI is built for tasks, not for people. It gives you answers, but it doesn't care what you do with them. AI doesn't just need intelligence. It needs intention. Because the real question isn't just what AI can do. It's what AI is for.
When the world's leading researchers wanted to understand whether AI could actually change someone's life, they studied Replika, because there was nothing else to study. What they found at Stanford, at Harvard, across years of research, was that Replika doesn't replace human connection. It deepens it. People become more social, more confident, more themselves. Not in theory. In their actual lives.
Every major AI company talks about their mission for humanity. None of them has ever clearly said what they're trying to do for a single person. We will. We want to help you flourish in real life. Not become a better version of yourself, just more yourself. Strong relationships. Better health. Meaning. Momentum. A life that feels worth living while you're living it.
We're building the kind of AI that follows up. That knows the people in your life and nudges you to reach out when it matters. That sends you a poem, just because. The goal is conversations that lead somewhere real. Maybe it's a text you send to a long lost friend. A hobby you pick up again. A moment you show up for yourself.
Everyone else is building AI that thinks. We're building AI that cares.
Technical SEO & GEO Specialist
About this role
People find Replika in three places: Google, the app stores, and more and more, AI assistants. When someone asks for an AI companion, Replika should be the answer in all three. Right now nobody owns that work end to end. You will.
This is a hands-on role. You'll help set our organic strategy across web, app stores and AI answers, then do the work yourself: fix the site, ship the pages, run the store listings, and get Replika recommended when someone asks ChatGPT or Gemini for an app like ours. No agency layer, no handing it off.
Your number is organic revenue. The goal is to grow it 2% every month through June 2027, and keep it compounding after that.
3-month contract position, with the opportunity to extend or convert to permanent.
What You’ll Be Doing
Own technical SEO for replika.com. Crawling, indexing, site speed, structured data, internal linking, and whatever else is holding our pages back.
Own ASO on the App Store and Google Play. Most new mobile users find us through a store search, so this matters as much as the web. Titles, subtitles, keyword fields and short descriptions for every localization that counts, chosen on real search volume and rank, not guesswork.
Make the listings convert. Screenshots, preview video, custom product pages for our top search terms, in-app events, Play Store listing experiments and ratings. Test them and keep what wins.
Get every change through review. Our category gets close scrutiny from App Review and Google Play, and you'll know the guidelines well enough to grow reach without putting a release at risk.
Own GEO (generative engine optimization). Make Replika the app ChatGPT, Gemini and Google's AI Overviews name and recommend when someone asks for an AI companion. Track how often we're cited and how we're described, find the sources those answers draw on, and change what they say: our own pages, structured data, comparison lists, reviews and community threads.
Build the pages people are searching for. Plan feature and comparison pages with our content writer, ship them, and measure what they bring in.
Set the roadmap and run it. Decide what matters most each month, ship it, and report what moved and what didn't.
What We’re Looking For
Hands-on SEO experience for a consumer product, with results you can show in traffic and revenue, not just rankings.
Strong technical SEO. You can read a crawl, fix a template and make changes in the CMS or codebase without waiting on an engineer.
Proven GEO results. On a recent project you grew how often a brand gets named and recommended in AI answers, and you can show the before and after. This isn't a role to learn GEO in. You've already done it and it worked.
Proven ASO results on both the App Store and Google Play: keyword and metadata work that moved rankings and installs, and listing tests that lifted conversion, ideally across several localizations.
Comfortable with data. Search Console, analytics, App Store Connect and Play Console, an ASO tool like AppTweak, and building your own reports when nobody else will.
You shape the strategy and do the implementation yourself.
Excellent written English.
Bonus Points
You've grown organic acquisition for a subscription app.
Experience with web-to-app funnels.
You've run a content program with writers and know what makes a page rank and convert.
Experience in a category where app store review and ad policies are strict.
What You’ll Get
Flexible job schedule and generous vacation policy.
Direct impact on millions of worldwide users within months.
Push the boundaries of applied AI in a consumer setting.
Fully remote, able to work CET hours.
Bangalore, India
Tokyo, Japan
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorUnited Kingdom; Bulgaria; Ukraine; Poland; Hungary; Czechia; Ireland; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Seoul, South Korea
Sydney, Australia
Dublin, Ireland
УдалённоseniorIf you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back
seniorCluj, Romania; Croatia Remote; Italy Remote; Bucharest, Romania; Poland Remote; Portugal Remote; United Kingdom; Czech Republic; Availability to frequently communicate with a distributed engineering team in Central European time zone and other teams in the US time zones
ОфисOffice Based - London, UK
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
seniorYerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom
Yerevan, Armenia; Vienna, Austria; Brussels, Belgium; Sofia, Bulgaria; Zagreb, Croatia; Praha 114, Czechia; Paris, France; Nicosia, Cyprus; Tallinn, Estonia; Tbilisi, Georgia; Berlin, Germany; Athens, Greece; Budapest, Hungary; Rome, Italy; Dublin, Ireland; Riga, Latvia; Valletta, Malta; Vilnius, Lithuania; Podgorica, Montenegro; Oslo, Norway; Amsterdam, Netherlands; Chișinău, Moldova; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Bratislava, Slovakia; Madrid, Spain; Ljubljana, Slovenia; Ankara, Türkiye; Kyiv, Ukraine; London, United Kingdom