Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next New Business Account Executive 4 on our High Tech team!
About the job
This position is needed to lead prospecting, solution selling and closing new business opportunities across our Messaging, Voice and Email products. In this role, you will be directly responsible for expanding our messaging business with some of the largest and fastest growing mid-market and enterprise companies in the High Tech vertical. New Business Account Executives are experts in the CPaaS ecosystem and Twilio’s product offerings. This role is highly cross functional, with deep integration with product management, carrier relations, finance, and solutions engineering teams.
Responsibilities
In this role, you’ll:
Drive new customer acquisition, while being assigned a quota for iACV (incremental Account Contract Value)
Own highly analytical and consultative sales cycles to win business in competitive vendor sourcing cycles with Twilio’s messaging (e.g. SMS, MMS, WhatsApp, Facebook Messenger, Google Business Messages, Account Security, etc.), voice and email solutions.
Work with customers across assigned verticals (Financial Services) to understand their business and technical requirements, and match them to the capabilities of Twilio’s communications API platform, designing a solution for their specific use cases.
Work with teams in Finance, Legal, Pricing, and Operations to design mutually beneficial contracts to address customer requirements, while balancing the needs of our business.
Be passionate about what you do, think outside the box, and use world-class interpersonal and communication skills to present complex contractual, technical, and financial details to prospects in a way that builds confidence and comfort in the proposed solution.
Balance competing priorities and manage multiple projects and deals at the same time.
Partner cross functionally with sales, services, product, and finance to develop long range territory strategies and sales plans.
Act as the voice of the customer to Twilio’s product and carrier relations teams.
Demonstrate a strong understanding of the CPaaS industry - staying up to date on key industry initiatives and new capabilities - on behalf of your customers and the wider Twilio go-to-market organization.
Generate and maintain an accurate pipeline and forecast utilizing our CRM, Salesforce.
Stay current with industry changes and collaborate with your team and peers to learn and share best practices
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Possess a total of 8 years of tech sales experience, with a minimum of 6 years in a closing role
Directly selling technical SaaS or CPaaS and experience solution selling and multi-threading
Experience outbound prospecting into new accounts and a strong “hunter” mentality for bringing in Mid-Market and Enterprise sized accounts
Technical solutions selling experience working with real customers and prospects, listening to them, and solving problems
Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships
Analytical account development strategy based on using data to find opportunities and prove value
Demonstrated track record of managing business forecasts and financial models
Entrepreneurial mindset with appetite to define process and build programs
Record of delivering market driven results, especially to scale and enterprise customers
Excellent verbal and written communication skills (English)
Bachelor’s Degree or equivalent years of experience
Desired:
Deep experience working with telecom companies, including CPAAS, SMS aggregators, carriers, or global communications platforms.
Domain expertise from a highly quantitative industry such as DevOps, Fintech, advertising optimization, investment banking, security or commodity trading especially in non-standard segments.
Software, SaaS, CPaas or PaaS selling experienc
Location
This role will be remote and located in the United States.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 20% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Minnesota or Vermont : $110,160 - $137,700.
Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $116,280- $145,350.
Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $122,400 - $153,300. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
This role is eligible to earn commissions.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until November 20th, 2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
The Business Recruiter, GTM partners with Harvey's go-to-market leadership to attract and close top talent across Sales, Customer Success, Partnerships, and Revenue Operations. Sitting within the Talent organization under the North America Business Recruiting team, this role owns full-cycle recruiting for some of Harvey's highest-volume and most strategically critical functions. The Senior Business Recruiter drives hiring velocity and pipeline quality while operating as a trusted advisor to hiring managers navigating rapid growth across multiple geographies. They partner cross-functionally with Recruiting Operations, People Business Partners, and Sales leadership to ensure process rigor without sacrificing speed or candidate experience. This is an opportunity to shape how a category-defining AI company builds its revenue engine during a period of exceptional growth.
WHAT YOU'LL DO
- Own full-cycle recruiting for GTM roles across Sales, Customer Success, Partnerships, and Revenue Operations — from sourcing through close — across multiple North American locations.
- Build and maintain high-quality, diverse candidate pipelines through proactive sourcing, referral cultivation, and market mapping.
- Serve as a strategic partner to hiring managers: leading intake meetings, setting calibration bars, advising on market conditions, and resetting expectations when needed.
- Drive process improvement and operational excellence — identifying bottlenecks, implementing scalable workflows, and tracking recruiting metrics to inform decisions.
- Manage competing priorities across multiple open requisitions while maintaining a high-touch candidate experience and meeting aggressive hiring timelines.
WHAT YOU HAVE
- 4+ years of full-cycle recruiting experience, with a meaningful portion supporting GTM or business functions (Sales, CS, RevOps, Partnerships) at a high-growth technology company.
- Demonstrated ability to partner with senior hiring managers, influence decisions with data, and manage stakeholder expectations in a fast-paced environment.
- Strong sourcing toolkit and a creative approach to building pipelines in competitive talent markets.
- Excellent project management skills with the ability to juggle multiple requisitions, drive process improvements, and maintain attention to detail under pressure.
- Clear, confident communication skills and high emotional intelligence — comfortable navigating ambiguity and competing priorities with poise.
COMPENSATION
$96,000 - $145,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-NB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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: Boston
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
The Senior Business Recruiter, GTM partners with Harvey's go-to-market leadership to attract and close top talent across Sales, Customer Success, Partnerships, and Revenue Operations. Sitting within the Talent organization under the North America Business Recruiting team, this role owns full-cycle recruiting for some of Harvey's highest-volume and most strategically critical functions. The Senior Business Recruiter drives hiring velocity and pipeline quality while operating as a trusted advisor to hiring managers navigating rapid growth across multiple geographies. They partner cross-functionally with Recruiting Operations, People Business Partners, and Sales leadership to ensure process rigor without sacrificing speed or candidate experience. This is an opportunity to shape how a category-defining AI company builds its revenue engine during a period of exceptional growth.
WHAT YOU'LL DO
- Own full-cycle recruiting for GTM roles across Sales, Customer Success, Partnerships, and Revenue Operations — from sourcing through close — across multiple North American locations.
- Build and maintain high-quality, diverse candidate pipelines through proactive sourcing, referral cultivation, and market mapping.
- Serve as a strategic partner to hiring managers: leading intake meetings, setting calibration bars, advising on market conditions, and resetting expectations when needed.
- Drive process improvement and operational excellence — identifying bottlenecks, implementing scalable workflows, and tracking recruiting metrics to inform decisions.
- Manage competing priorities across multiple open requisitions while maintaining a high-touch candidate experience and meeting aggressive hiring timelines.
WHAT YOU HAVE
- 5+ years of full-cycle recruiting experience, with a meaningful portion supporting GTM or business functions (Sales, CS, RevOps, Partnerships) at a high-growth technology company.
- Demonstrated ability to partner with senior hiring managers, influence decisions with data, and manage stakeholder expectations in a fast-paced environment.
- Strong sourcing toolkit and a creative approach to building pipelines in competitive talent markets.
- Excellent project management skills with the ability to juggle multiple requisitions, drive process improvements, and maintain attention to detail under pressure.
- Clear, confident communication skills and high emotional intelligence — comfortable navigating ambiguity and competing priorities with poise.
COMPENSATION
$126,400 - $200,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-NB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We’re looking for an innovative and hands-on Senior Customer Marketing Manager to put Harvey’s EMEA customers centre stage: telling their stories, celebrating their wins, and building community around them.
Harvey has an incredible base of law firm and in-house customers across the region, and they are truly innovating the practice of law. Your first job is to elevate their voices: finding the customers doing standout work, earning their trust, and producing the written, video and spoken stories that put that work in front of the industry.
From there, the role expands into community programming: building the communities, programmes and moments (power user groups, customer roundtables, awards and recognition moments, customer-led content) that bring customers and the wider legal community together.
You’ll sit within the EMEA Marketing team and work hand in glove with our global Customer Engagement team, who own the overarching customer marketing strategy, programmes and playbooks. Your job is to make them work for EMEA: adapting them for the region’s markets, customers and culture, building what the region needs on top, and feeding what you learn back into the global motion. You’ll also partner closely with Customer Success and Sales. As the first dedicated customer marketer in the region, you won’t inherit a finished playbook. You’ll help write it.
WHAT YOU'LL DO
- Localise the global motion for EMEA: take the programmes, playbooks and frameworks our Customer Engagement team builds globally and tailor them specifically for EMEA markets, customers and culture, working hand-in-hand to build a truly exceptional motion.
- Build the EMEA customer story pipeline: work across customer-facing teams to find the customers doing standout work, secure their participation and approvals, and keep a steady flow of stories in production.
- Tell their stories: own written stories, video stories, quotes and references end to end and to a standard the customer is proud to share.
- Get the stories seen: package each story for the channels that give it reach, localised for priority EMEA markets, and make sure Sales knows what exists and how to use it.
- Build the advocate bench: develop a roster of EMEA customers who can act as references, speakers, panellists and peer connectors, and track their participation so no one is over-asked and everyone gets recognised.
- Build EMEA community programmes: design and run the formats that bring customers together, such as power user groups, customer roundtables, practitioner communities, awards and recognition moments, each with clear goals and structured follow-up.
- Build repeatable playbooks and processes: the story production workflow, approvals process, reference tracking and community operating rhythm, so each new story and programme is faster to stand up than the last.
- Measure and improve impact: track stories produced, proof usage, reference activity, community engagement and contribution to pipeline, renewals and expansion.
WHAT YOU HAVE
- 4-7 years of experience in customer marketing, customer advocacy, content marketing or community, ideally in B2B SaaS, technology or professional services.
- Proven experience producing content end to end. Excellent writer and interviewer, with the judgement to find the real story and the credibility to earn trust with senior legal and business leaders.
- Experience building or running events, customer communities and advocacy programmes.
- Strong relationship instincts: you enjoy spending time with customers and build trust quickly with them, Sales and Customer Success.
- Highly organised and operationally rigorous, with the ability to run multiple stories, programmes and stakeholders at once.
- Comfortable working autonomously and building from scratch in a fast-moving environment.
- Familiarity with using AI to scale your own work.
- Experience marketing to legal, financial services, consulting, enterprise or other high-touch professional audiences is a plus. Additional European languages are a plus.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LE1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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: 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: San Francisco, CA; Sunnyvale, CA
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
THE OPPORTUNITY
As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world.
This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap.
WHAT YOU WILL DO
- Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats).
- Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team.
- System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines.
- Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system.
- Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
- Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.
- Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences.
WHAT WE ARE LOOKING FOR
- Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain).
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
- Core Technical Skills: Strong proficiency in Python and/or C/C++.
- Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML.
- Full SW lifecycle experience: Demonstrated experience in taking research into production at scale.
- Technical Leadership Experience: Previous experience tech leading computer vision projects.
COMPENSATION & BENEFITS
The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
LOCATION & WORK MODEL
This role is based in our San Francisco or Sunnyvale office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: London
Workplace: Hybrid
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
Location: Europe remote or London hybrid
THE ROLE:
Synthesia is used by over 90% of the Fortune 100. The largest deployments now run thousands of creators across dozens of markets, languages, and compliance regimes. What decides whether those accounts expand or stall is not another avatar - it's whether admins, legal teams, and programme owners can actually stay in control.
We're looking for a Staff (L6) Product Designer to own that layer end-to-end: workspace setup and governance, the content lifecycle, and the analytics and integrations that close the loop. This is the work that turns a proof of concept into a seven-figure renewal, and right now it is wide open.
You'll operate as a senior IC: setting direction, influencing roadmap decisions (not just contributing), shaping bets with Product and Engineering leaders, and raising the bar on how we think about enterprise design problems.
WHAT YOU'LL BE DOING:
- Own the Enterprise surface end-to-end, from problem framing to shipped outcomes and iteration - often dealing with ambiguity. You'll reach out to the right stakeholders, get the right eyes in the room, and make decisions independently.
- Design complex governance and compliance systems that give admins, legal teams, and compliance officers genuine control and transparency. Examples include:
- Permission models and role hierarchies that scale across thousands of creators without collapsing into chaos.
- Audit log experiences that make compliance auditable - not just for the system, but for the humans who need to understand what happened.
- Workspace setup and identity workflows that integrate with real enterprise infrastructure (SSO, SCIM, MCP).
- License and billing models that admins can actually understand and manage at scale.
- Analytics and reporting that tell admins whether their deployment is working as intended.
- Work with technical constraints and possibilities. You'll develop fluency in APIs, widget architectures, developer hub patterns, and how backend systems shape what's actually achievable in the UX. You're not designing in isolation from engineering - you're designing in partnership with it.
- Drive pragmatic iteration. You'll scope ruthlessly, build POCs to get signal early, and iterate based on what you learn from enterprise customers.
- Set a design vision for our Enterprise surface and influence adjacent product areas to stay coherent. As things scale across SSO, compliance, analytics, and billing, you're keeping the mental model consistent.
YOU SHOULD APPLY IF YOU BRING:
- Significant experience designing complex, large-scale product surfaces - ideally admin dashboards, governance layers, analytics platforms, or other domains where system thinking matters.
- Technical fluency. You understand APIs, integrations, how services communicate, how widgets and developer hubs work. You can read a technical architecture doc and understand the constraints it creates for design. You don't need to be an engineer, but you think like one.
- Systems thinking: not just about interaction flows, but about enterprise systems. You understand how identity systems, compliance regimes, and scale constraints shape what's actually possible in the UX. You think in mental models and multi-step workflows, not single screens.
- Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity.
- Excellent communication in design reviews and cross-functional decision-making contexts.
- Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded.
- The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale.
AT SYNTHESIA WE EXPECT EVERYONE TO:
- Put the Customer First
- Own it & Go Direct
- Be Fast & Experimental
- Make the Journey Fun
You can read more about this in this public Notion page: https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2
BENEFITS
- A flexible, remote friendly role based out of Europe or one of our hubs in London, Copenhagen, Munich, or Zurich.
- 25 days of annual leave + public holidays in the country where you are based.
- A generous referral scheme.
- Work from home set up.
- At Synthesia, you can work from anywhere (within reason) in the world for up to 60 days per year!
- A huge opportunity for career growth as you’ll help shape a market-defining product.
Location: India; Bangalore; Delhi
Workplace: Remote
We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Technical Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a large variety of tasks related to our customers locally in India as well as more regionally across APJ and EMEA. This is a customer-facing role that will include customer interactions via chat, calls, Slack messages, and virtual meetings over video. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post- sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll-up their sleeves and help us expand our regional presence in India!
WHAT YOU WILL BE DOING:
- Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings
- Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training
- Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers
- Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers
AND OF COURSE:
- You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone
- You will build strong, trusted relationships with colleagues, customers, and partners
WHAT YOU BRING ALONG:
- Technical breadth and depth in ClickHouse open-source or Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems, Kubernetes, Docker
- Previous technical experience in roles such as Support Engineer, Technical Account Manager, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer
- Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment
- Strong written and verbal English communication skills and the ability to work fully remote with reliable connectivity
- A mindset of teamwork, global engagement, empathy, and solving challenging problems
- A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet
- The ability to build trusted relationships with colleagues, customers, and partners
- You are self-driven, curious, and eager to continuously learn and grow
BONUS POINTS:
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with Azure, GCP or AWS
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: London, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Join us in shaping the experience that millions of customers land on every time they open DoorDash, Wolt, or Deliveroo. As part of our Core Consumer organisation, our Homepage team owns one of the single biggest levers we have on what customers find and one of the hardest surfaces in the app to get right.
Working at the intersection of ranking, personalisation, and AI/ML, you'll help decide what each customer sees and why, across three brands and dozens of markets. You'll be building on a global stack, and your roadmap will be a mix: global platform problems that apply worldwide, global capabilities we're accelerating into EMEA, and EMEA-specific problems worth solving properly rather than working around.
We're looking for a Senior Product Manager to join our Homepage team. In this role, you'll shape how customers discover restaurants, grocery and retail venues, dishes and products — and help define what discovery looks like as AI-driven and agentic experiences change the way people decide what to order.
What You'll Be Doing
You'll be joining a team working on one of the most-used surfaces in the app.
Here's what your day-to-day might look like:
Building new end-to-end features and user experiences on Homepage that shape how customers discover restaurants, grocery and retail venues, dishes, and products.
Working on ranking, personalisation, and AI/ML problems in the Homepage domain, including how we decide what each customer sees and why.
Exploring where AI-driven and agentic experiences change the way customers discover what to order.
Making discovery work across three brands and many markets, without flattening into one-size-fits-all.
What You'll Need to Thrive
Our ideal candidate will bring strong product judgment and curiosity to grow into the rest:
Proven experience as a Product Manager on consumer-facing products - discovery, homepage, feed, or ranking-driven experiences are especially relevant.
You are a product manager more than a feature owner. Someone who finds the customer problems that matter most and makes the case for solving them.
You work backwards from the customer problem, and weigh it against what the business needs most right now.
You're comfortable holding several business objectives at once and making a call when they pull in different directions.
You work well with a wide range of stakeholders and build trust with people whose priorities differ from your own.
You think strategically and can move between long-term direction and what we should ship next.
You're comfortable with ambiguity and genuinely flexible (this industry is changing fast, AI most of all).
You're curious about what AI actually changes for customers, and can tell real value from hype.
Next steps
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
San Francisco
Bangalore, India
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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
ГибридseniorSan Francisco, CA; Sunnyvale, CA
United States - Remote
seniorAustralia - Remote
ГибридLondon
УдалённоseniorIndia; Bangalore; Delhi
London, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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