Location: Athens, Greece
Are you interested in working with a leading education technology player, the global leader in the assessment and certification of professional skills industry with a presence in more than 200 countries worldwide? If so, this is the chance to
apply now
!📥
PeopleCert is hiring a Localisation Associate to manage the end-to-end translation of Business and IT products from English into German. This includes assets such as official books, exams, and training materials.
You’ll oversee translation projects, ensuring high-quality deliverables by coordinating with freelancers, Language Service Providers (LSPs), and Subject Matter Experts (SMEs). Your responsibilities will include translating, editing, proofreading, onboarding external partners, and optimizing workflows for accuracy and efficiency.
Working closely with the Localisation Lead, Enterprise Project Manager, and internal teams, you'll ensure seamless project execution while serving as the main point of contact for feedback and issue resolution.
As a Localisation Associate, your tasks will include the following:
Create, manage, and implement translation projects within XTM TMS (Translation Management System), ensuring that deadlines, budgets, and quality standards are met while working closely with the Enterprise Project Manager.
Identify and implement AI tools (e.g., machine translation, language models) to improve workflow efficiency, reduce manual tasks, and maintain high-quality outputs.
Responsible for translation efforts for a variety of content types from English into German, ensuring consistency and quality across all products, while working closely with content teams.
Perform file alignments, update and maintain translation memories, and prepare files for translation to ensure efficient use of resources and content reusability.
Source, onboard, and manage external translators, Language Service Providers, and SMEs, building strong working relationships to ensure timely and high-quality delivery. Provide clear and concise briefings to ensure suppliers understand project scope, deliverables, and expectations.
Conduct rigorous quality checks on translated materials to ensure accuracy, cultural relevance, and technical precision, while working closely with the Localisation Lead to uphold PeopleCert’s quality standards.
Act as the central point of communication for feedback, proactively addressing issues and escalating them to the Localisation Lead and Enterprise Project Manager when needed.
Ensure all administrative duties, including file management, reporting, and supplier communications, are handled accurately and on time, while collaborating closely with internal teams to ensure smooth project workflows.
What we look for:
Native or equivalent fluency in German and English (LanguageCert C2 LTE or C2 IESOL certificate would be also a plus), with strong translation skills from English into German.
Experience working in a Language Service Provider (LSP) environment or a translation function, with a focus on managing translation or localization projects from English into German. Experience in the professional education sector is preferred.
Academic background in Translation Studies or in German Linguistics is desirable.
Proven ability to manage multiple projects concurrently while meeting time and budget requirements, working closely with cross-functional teams to achieve project goals.
Use CAT tools, Machine Translation (MT), and TMS (experience with XTM is advantageous).
Experience in handling various file formats (MS Office, InDesign, etc.) with a solid understanding of file engineering within the context of localization. ECDL Advanced level certification is desirable.
Excellent communication, prioritization, and organizational skills, with the ability to build successful relationships with external suppliers and internal teams to ensure timely delivery.
Proactive, detail-oriented, and capable of working independently with minimal supervision, while also collaborating closely with relevant stakeholders.
What we offer:
Competitive remuneration package 💲
Work in an international, dynamic, and fun atmosphere 💯
Two
free
vouchers for all certifications from PeopleCert's Portfolio per year for all employees 🎓
Complimentary coffee and tea in all our premises ☕
Huge learning experience in using best practices and a global environment 📈
Constant personal and professional development 🥇
If you want to become a member of our international, dynamic and agile team that creates world-leading software products, then we should certainly like to hear from you!
About PeopleCert
PeopleCert
is a global leader in the assessment and certification of professional skills, partnering with multi-national organizations and government bodies for the development & delivery of standardized exams. Delivering exams across 200 countries and in 25 languages over its state-of-the-art assessment technology, PeopleCert enables professionals to boost their careers and realize their life ambitions.
Quality, Innovation, Passion, Integrity, Clarity, Velocity
are the core values which guide everything we do.
Our offices in UK, Greece, Cyprus and India boast a culture of diversity, where everyone is different, yet everyone fits in. All of us at PeopleCert are committed to the reflection of the diversity and inclusion of our customers and the communities in which we do business.
Working on Home Office (HO) Secure English Language Tests (SELTs)
Any person who is engaged by PeopleCert to work on the SELT service must undergo a Background Check (the results of which must be acceptable to PeopleCert and the HO) prior to commencing their SELT duties. All SELT personnel will be required to complete a declaration (provided by PeopleCert) where the existence of any criminal record and/or bankruptcy must be declared.
If working on the SELT service in the UK, background checks will include:
A basic or enhanced Disclosure Barring Service (DBS) check
Right to Work in the UK check (including nationality, identity, and place of residence)
HO security check (Baseline Personnel Security Standard (BPSS) or Counter-Terrorist Check (CTC)
Financial background check
Employment reference check
If working on the SELT service anywhere in the world (outside of the UK) personnel will undergo background checks that are equivalent to those stated for the UK
In addition, if the personnel is required to speak to SELT candidates they must be appropriately skilled in the English language and, where SELT services are provided anywhere in the world (outside of the UK), the official language of the relevant country.
All applications will be treated with strict confidentiality.
Location: South Africa; Pakistan; Colombia; Mexico; India; Jamaica
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a remote
Sales Development Representative (SDR)
responsible for outbound prospecting, lead generation, and appointment setting within the staffing and recruitment industry.
This role is ideal for someone with
proven staffing SDR or BDR experience
, strong cold calling skills, and the ability to confidently navigate conversations with decision-makers and gatekeepers.
The SDR will be responsible for high-volume outreach, CRM management, and setting qualified meetings for the sales team while consistently hitting performance KPIs.
Key Responsibilities
Conduct
80–100 outbound calls daily
to prospective clients
Generate new opportunities through
cold calling, email outreach, and LinkedIn prospecting
Identify and qualify decision-makers within target companies
Schedule
5–7 qualified appointments per week
for the sales team
Manage all prospect interactions within
HubSpot CRM
Execute email sequences and follow-up campaigns
Use
LinkedIn Sales Navigator and prospecting platforms (e.g., Apollo)
to identify new leads
Track outreach activity and maintain detailed CRM notes
Navigate conversations with gatekeepers and confidently handle objections
Collaborate with leadership to refine and optimize outbound sales processes
Requirements
Minimum 2+ years of SDR or BDR experience within the staffing industry (US-based market)
Experience with
direct placement staffing sales
(not third-party recruiting)
Proven track record of
meeting or exceeding KPI targets
Strong
cold calling and appointment-setting experience
Experience using
HubSpot CRM
Experience using
LinkedIn Sales Navigator
Experience using
Apollo or a similar prospecting platform
Strong English communication skills (verbal and written)
Ability to confidently handle objections and navigate gatekeepers
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: United States
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a Remote Account Manager to work with a fast-growing marketing agency serving international clients. In this role, you will manage client relationships, coordinate marketing campaigns, and ensure projects are delivered successfully across digital channels.
This is an ideal opportunity for professionals experienced in client management, digital marketing campaigns, and account growth who enjoy working closely with clients and internal marketing teams.
As an Account Manager, you will act as the primary point of contact between clients and the agency’s marketing specialists, ensuring campaigns run smoothly while identifying opportunities to expand services and deliver measurable results.
Key Responsibilities
Serve as the primary client contact for assigned marketing accounts.
Manage and nurture long-term client relationships to ensure high retention and satisfaction.
Coordinate with internal teams including SEO, paid media, content, and creative teams to execute campaigns.
Lead regular client meetings, reporting calls, and strategy discussions.
Monitor campaign performance and communicate insights and recommendations to clients.
Manage project timelines, deliverables, and campaign milestones.
Identify opportunities for upselling or expanding marketing services.
Ensure all client communications and campaign updates are documented in CRM or project management tools.
Maintain a deep understanding of the client’s business goals and marketing objectives.
Requirements
2+ years of experience in Account Management, Client Success, or Client Services, ideally within a marketing or digital agency.
Strong understanding of digital marketing channels (SEO, PPC, paid social, email marketing, or content marketing).
Excellent client communication and presentation skills.
Experience managing multiple client accounts simultaneously.
Familiarity with CRM and project management tools such as HubSpot, Salesforce, Asana, ClickUp, Monday.com, or similar platforms.
Strong organizational and problem-solving skills.
Ability to translate marketing performance data into clear insights for clients.
Experience working with international clients (UK, US, or global markets) is a plus.
Reliable internet connection and ability to work remotely.
Benefits
🌎 Fully remote role with international clients and a flexible work environment
🚀 Work with fast-growing digital marketing agencies serving global brands
📈 Long-term career growth in account management, client success, or marketing strategy
🎯 Hands-on experience managing high-impact multi-channel marketing campaigns
🤝 Structured onboarding and ongoing support to help you succeed in the role
Location: Béthune, Pas-de-Calais, France
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are seeking a highly organized and experienced
Warehouse and Logistics Specialist
to oversee and optimize logistics, warehouse management and asset-related processes.
This role will involve implementing and refining asset management processes, review logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.
This role is on-site in our Lille location.
Your responsibilities will include:
Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
Implement asset management processes to track the full lifecycle of assets.
Review and refine logistics/warehousing processes to identify areas for improvement.
Set up and manage equipment certification processes to meet operational and regulatory requirements.
Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
Manage insurance for assets, including claims, renewals and risk mitigation strategies.
Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.
We expect you to have:
3-5 years of experience in logistics or logistics project management.
Familiarity with logistics management systems, ERP software and asset-tracking tools.
Strong project management skills with the ability to manage multiple tasks and priorities.
Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
Strong attention to detail and organizational skills.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: New York
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: Bet Shemesh, Israel; Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are seeking a highly organized and experienced
Warehouse and Logistics Specialist
to oversee and optimize logistics, warehouse management and asset-related processes.
This role will involve implementing and refining asset management processes, reviewing logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.
You’re welcome to work in our office in Israel
Your responsibilities will include:
Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
Implement asset management processes to track the full lifecycle of assets.
Review and refine logistics/warehousing processes to identify areas for improvement.
Set up and manage equipment certification processes to meet operational and regulatory requirements.
Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
Manage insurance for assets, including claims, renewals and risk mitigation strategies.
Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.
We expect you to have:
3-5 years of experience in logistics or logistics project management.
Familiarity with logistics management systems, ERP software and asset-tracking tools.
Strong project management skills with the ability to manage multiple tasks and priorities.
Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
Strong attention to detail and organizational skills.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.
You will ground projections in microeconomic signals from the
Anthropic Economic Index
— usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.
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
, we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution
Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories
Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation
Analyze questions of income distribution and economic governance under transformative-AI scenarios
Contribute to the development of AI-powered research tools for economics
Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise
Build and maintain relationships with academic institutions, policy think tanks, and other research partners
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You May Be a Good Fit If You Have
PhD in Economics, or an exceptional candidate close to completion
Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics
A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against
Relevant experience in some of:
Macroeconomic modeling and structural estimation
Scenario-based and time-series forecasting
Task-based approaches to technological change
Computational methods, agent-based modeling, or large-scale simulation
Income distribution and inequality
Using large language models in the research workflow
Technical skills including:
Proficiency in Python, Julia, or similar for computational economics
Facility with AI coding agents as part of a research workflow
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead research projects from conception to publication
Ship on tight timelines and revise in public as new data arrives
Communicate technical findings to diverse audiences
Strong interest in ensuring AI development benefits humanity
Some Examples of Our Recent Work
Labor market impacts of AI: A new measure and early evidence
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.
Deadline to apply: None. Applications are reviewed on a rolling basis
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: New York, United States
This job is posted on behalf of CLT Recruiters.
We are currently seeking a
Senior Project Accountant
for a well-respected high-end residential construction company. In this role, you will take ownership of budget monitoring and billing cycles, ensuring all project financials remain compliant, accurate, and within contractual scope.
Responsibilities:
Financial Oversight & Controls:
Execute monthly reconciliations between project and general ledgers
Enforce precise cost coding to maintain strict alignment with project budgets and Work Breakdown Structures.
Perform variance analysis on committed vs. actual costs, proactively identifying and resolving budget discrepancies.
Direct the assembly of audit-ready draw packages, verifying the accuracy of subcontractor invoices, lien waivers, and supporting documentation.
Strengthen internal controls by optimizing invoice workflows, maintaining segregation of duties, and setting high documentation standards.
Create and maintain essential financial tools, such as change order logs and vendor tracking schedules.
Work with various teams to document financial workflows and ensure consistent audit readiness.
Process Review & Improvement:
Identify and resolve gaps in financial and admin workflows to maximize efficiency.
Support and implement process improvements such as the integration of software enhancements and better cross-functional team collaboration.
Drive organizational excellence by establishing and enforcing rigorous standards for financial documentation and regulatory compliance.
Collaboration & Problem Solving:
Drive project success by collaborating closely with PMs and service teams to provide mission-critical support.
Solve complex problems with a proactive mindset, staying ahead of potential issues with creative and composed decision-making.
Promote consistent, open, and transparent communication across the entire organization.
Compliance & Reporting:
Maintain and monitor compliance for subcontractors (COIs, licenses, waivers)
Monitor and support contract types, including cost-plus and lump-sum structures
Qualifications:
Bachelor's degree in Accounting, Finance, or related field
5+ years of construction accounting experience (residential/luxury projects preferred or commercial interiors)
Proficient in budget tracking, job costing, general ledger maintenance, and financial reporting
Skilled in Excel and experience with construction accounting software such as QuickBooks, Sage, Procore, etc.
Organized, detail-oriented, and proactive
О ПРОЕКТЕ
International Operations Group — международный Web3-проект в сфере цифровых активов. Мы ищем экспертов по операциям на децентрализованных биржах (DEX) для работы в распределенной глобальной команде. Мы предлагаем высокую автономность и доступ к международной сети партнеров.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Trading Operations: Проведение операционных сделок по обмену токенов на DEX-площадках.
— Liquidity Management: Мониторинг ликвидности и контроль исполнения ордеров.
— On-chain Work: Непосредственная работа с криптокошельками и взаимодействие со смарт-контрактами.
— Reporting: Ведение детальной отчетности по сделкам и работа с аналитическими данными.
— Tech Sync: Взаимодействие с backend-командой по техническим вопросам и улучшению процессов.
МЫ ОБЕСПЕЧИВАЕМ
— Полный цикл: Сопровождение сделок от оценки и входа до фиксации результата.
— Поддержка: Операционная помощь и прозрачная система взаимодействия внутри команды.
— Инструментарий: Доступ к развитой сети партнеров и эксклюзивным источникам сделок.
— Рост: Возможность профессионального развития в одном из самых динамичных секторов Web3.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Глубокое понимание механик работы DEX и DeFi-протоколов.
— Навыки безопасного управления кошельками и проведения транзакций.
— Ответственность, внимательность к деталям и умение работать в автономном режиме.
— Опыт взаимодействия с аналитикой и понимание основ блокчейн-инфраструктуры.
Location: Hong Kong
QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity.
Your future role within QRT
We are seeking a Network Operations Engineer to support the ongoing operation, scalability and continuous improvement of our global AWS network.
This role focuses on implementing change safely and consistently at scale, improving automation, and providing operational support to internal stakeholders. You will work closely with senior engineers, application teams, security and IT to ensure reliable, well-governed and observable network services in a production-sensitive environment.
The role is expected to involve the following activities:
Implement changes across our global AWS network using Infrastructure-as-Code
Maintain and enhance Terraform modules to ensure scalable, repeatable and consistent network deployments
Develop and maintain automation tooling using Python and Bash
Execute controlled changes via CI/CD pipelines with appropriate validation and peer review
Assess and manage the risk associated with network changes, ensuring appropriate testing, impact analysis and rollback strategies are in place
Support and resolve network-related tickets raised by internal stakeholders in a timely and professional manner
Troubleshoot connectivity and configuration issues within AWS environments using both native and third-party tooling
Contribute to operational documentation, runbooks and continuous process improvement
This role offers strong growth opportunities into deeper cloud networking, platform engineering and automation.
Your present skillset
2–4 years of experience in a cloud, infrastructure or network operations engineering role
Good understanding of networking fundamentals including IPv4, DNS, TCP/UDP and routing concepts
Practical experience with AWS networking services such as VPC, Transit Gateway and Route53
Hands-on experience using Infrastructure-as-Code, ideally Terraform
Experience developing automation using Python and/or Bash
Ability to troubleshoot issues methodically and independently within production environments
Strong awareness of production risk and high-availability considerations
Experience handling tickets and communicating effectively with internal customers
Comfortable working in a fast-paced, dynamic environment
Desirable experience
Experience operating AWS networking at scale across multiple environments or region
Familiarity with CI/CD pipelines and automated deployment workflows
Exposure to IP address management tooling such as AWS VPC IPAM or Infoblox
Load balancing technologies (ALB, NLB)
Logging and observability tooling (CloudWatch, Grafana)
Exposure to newer AWS networking services such as VPC Lattice
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to enable employees to achieve a healthy work-life balance.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire an
AI Platform Administrator
to join our rapidly expanding team.
About the Role
We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions.
You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it.
This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
What does the role look like?
Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users.
Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable.
Review AI prototypes and judge whether they are ready for production.
Refactor prototype code into maintainable, tested, documented services, mainly in Python.
Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls.
Containerize solutions (Docker) and prepare for deployment on our cloud platform.
Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs.
Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates.
Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour.
Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams.
Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines.
What do you need to succeed in this role?
Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself.
Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management.
Strong Python skills, plus experience with REST APIs, webhooks and system integrations.
Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling.
Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one.
Experience with at least one major cloud provider (AWS, Azure or GCP).
A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security.
Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production.
A structured, documentation-minded approach and a high level of ownership.
Will be considered a plus:
Experience with AWS Bedrock and Amazon Bedrock AgentCore.
Experience with Microsoft 365 / Entra ID administration.
Experience in FinTech, brokerage, banking or another regulated industry.
Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases.
Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize).
Experience with MCP servers, Claude Code or similar developer AI tooling.
Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot.
Understanding of data governance, GDPR and AI risk management.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional
opportunity,
that will challenge you and advance your career?
Join our team now!
Tickmill
is looking to hire an
AI Platform Administrator
to join our rapidly expanding team.
About the Role
We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions.
You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it.
This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation.
About
Tic
kmill
.
Tickmill
is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures &
Options).
Founded in 2014, the
Tickmill
Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia,
Seychelles
and several other locations worldwide.
Our culture is built on trust, transparency, and
high standards
. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
What does the role look like?
Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users.
Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable.
Review AI prototypes and judge whether they are ready for production.
Refactor prototype code into maintainable, tested, documented services, mainly in Python.
Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls.
Containerize solutions (Docker) and prepare for deployment on our cloud platform.
Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs.
Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates.
Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour.
Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams.
Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines.
What do you need to succeed in this role?
Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself.
Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management.
Strong Python skills, plus experience with REST APIs, webhooks and system integrations.
Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling.
Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one.
Experience with at least one major cloud provider (AWS, Azure or GCP).
A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security.
Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production.
A structured, documentation-minded approach and a high level of ownership.
Will be considered a plus:
Experience with AWS Bedrock and Amazon Bedrock AgentCore.
Experience with Microsoft 365 / Entra ID administration.
Experience in FinTech, brokerage, banking or another regulated industry.
Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases.
Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize).
Experience with MCP servers, Claude Code or similar developer AI tooling.
Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot.
Understanding of data governance, GDPR and AI risk management.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “Employee Training & Development program”.
Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our Provident Fund Scheme.
Birthday and Loyalty benefits.
Collaboration with SportBenefit.
Make your next Career step and apply NOW!
*
Due to the
great number
of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: United Kingdom
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re looking for
two experienced Sales Development Representatives (SDRs)
with a
technical IT software background
to join a mature sales organisation. You’ll be responsible for identifying, engaging, and qualifying potential enterprise clients, understanding their pain points, and confidently presenting solutions that resonate with IT decision-makers.
Key Responsibilities
Conduct outbound prospecting and qualification calls with IT leaders across the UK and Europe.
Understand technical pain points and align product offerings to business needs.
Manage the full early-stage sales process using
SalesLoft
and
Salesforce
.
Nurture and maintain high-quality relationships with prospects through organized follow-ups.
Support account management efforts by ensuring seamless communication between sales and client success teams.
Consistently meet and exceed KPIs around outreach volume, meeting bookings, and conversion rates.
Requirements
2+ years of recent SDR experience
in a B2B Tech, IT industry.
Strong understanding of
technical software solutions
and ability to discuss IT pain points confidently.
Excellent written and verbal communication skills with the ability to influence decision-makers.
Experience using
Salesforce
and
SalesLoft
(or similar CRM and engagement tools).
Exceptional organisation, multitasking, and time management skills.
Positive, ambitious, and “can-do” attitude with a drive to exceed goals.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: United States; Canada; United Kingdom
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
Our client is a fast-growing AI-first B2B growth agency that helps high-growth tech companies scale revenue through AI-powered Revenue Operations, automated outbound systems, and growth infrastructure.
They work with venture-backed startups and scaling B2B SaaS companies, implementing end-to-end GTM systems, sales automation, and data-driven outbound strategies.
Since launching, the company has grown from $0 to $2M ARR in under a year while working with some of the fastest-growing startups backed by leading venture capital firms and accelerators.
We are looking for a GTM Engineer to help design and implement scalable Revenue Operations systems, outbound infrastructure, and automation workflows for high-growth B2B SaaS companies.
In this role, you will work at the intersection of RevOps, outbound growth, data infrastructure, and AI-powered automation. You will collaborate with founders, sales leaders, and RevOps teams to design and execute modern go-to-market strategies.
Key Responsibilities
GTM Strategy & Play Design
Recommend and implement
outbound GTM plays
tailored to each client’s ICP and growth stage
Advise clients on
sales tech stack selection and automation tools
Build
lead allocation systems
to distribute prospects across sales teams efficiently
TAM Mapping & Data Infrastructure
Build ICP models using firmographic, technographic, and behavioral signals
Map Total Addressable Markets (TAM) and prioritize high-value accounts
Implement signal tracking systems using first-party and third-party data sources
Identify decision-makers and buying committee members within target accounts
Clay & Data Enrichment
Build advanced Clay workflows for data enrichment and account research
Implement AI-driven enrichment pipelines to automate manual research
Create automation workflows using tools such as Clay, APIs, and workflow automation platforms
Develop account scoring systems to prioritize high-intent prospects
Outbound Campaign Development
Build personalized multi-channel outbound campaigns across email and LinkedIn
Create scalable outbound sequences while maintaining personalization
Analyze campaign performance and iterate based on results and client feedback
Client Communication & Collaboration
Participate in weekly client calls to discuss strategy and performance
Collaborate internally using Notion, Slack, and documentation tools
Contribute to internal GTM playbooks and process documentation
Deliver performance reports and growth recommendations
Requirements
Must Have
2 - 4+ years of experience in Sales, RevOps, Sales Operations, BizOps, or GTM Engineering
Experience working in B2B SaaS, startups, or agencies
Strong working knowledge of Clay
Curiosity about AI tools, automation, and growth experimentation
Strong problem-solving mindset and ability to learn quickly
Fluent English communication skills
Nice to Have
Experience with HubSpot or Salesforce CRM systems
Experience with workflow automation tools such as n8n
Experience working with sales automation or outbound tooling
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: South Africa; Poland; Portugal; Romania; Mexico; Nigeria
About Huzzle
At Huzzle, we connect exceptional talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established digital brands across SaaS, eCommerce, MarTech, FinTech, and online services. Unlike traditional outsourcing agencies, we place you directly with a client where you are hired in-house as a valued team member.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re hiring a
Creative Strategist
to build and operate a
systematic, data-driven creative engine
that improves ad performance across multiple home improvement client accounts.
This role sits between
performance data and creative production
. You will diagnose why ads succeed or fail, design structured creative testing frameworks, and translate insights into detailed briefs for production teams.
You will
not manage ads, edit videos, or run client calls
. Instead, your focus will be building a repeatable creative system that continuously improves
CPL, creative performance, and account stability
.
This is an ideal opportunity for someone with strong
paid social creative strategy experience
who enjoys combining
analytics, consumer psychology, and structured experimentation
to drive measurable results.
Key Responsibilities
Analyse performance across multiple paid social campaigns for home improvement clients.
Diagnose creative performance issues using data points such as
hook rate, CTR, thumb stop rate, watch time, frequency, and CPL trends
.
Identify the
psychological drivers behind winning creatives
including transformation, safety, status, and esteem.
Design
structured creative testing frameworks
including hook testing, angle testing, and CTA testing.
Develop new creative angles and messaging based on market sophistication and audience awareness stages.
Write
detailed creative briefs for videographers and editors
, ensuring production teams execute with clarity.
Analyse test results and iterate creative direction based on performance evidence.
Identify patterns and winning strategies across multiple client accounts and industries.
Document insights and maintain a
shared creative knowledge system
.
Collaborate closely with media buyers and production teams to improve overall account performance.
Requirements
Must haves
Proven experience improving
paid social performance through creative strategy
, not just media buying or copywriting.
Strong ability to analyse
Meta Ads performance at the creative level
(CTR, hook rate, watch time, frequency, CPL trends).
Experience building
structured creative testing frameworks
rather than relying on ad-hoc idea generation.
Ability to clearly diagnose
why ads succeed or fail using data insights
.
Experience writing
detailed creative briefs for video production teams
.
Strong understanding of
consumer psychology and emotional buying drivers
.
Ability to identify
patterns across multiple accounts and industries
, not just single campaigns.
Clear, structured communication skills with the ability to translate insights into actionable creative direction.
Strong ownership mentality with accountability for performance outcomes.
Nice to Have
Experience working in a
performance-focused paid social agency environment
.
Background in
high-ticket or local service industries
(home improvement, solar, roofing, property, kitchens, etc.).
Experience analysing creative metrics like
Hook Rate, Thumb Stop Rate, Watch Time, CTR, and Frequency
.
Experience managing
high-volume creative testing environments
with frequent launches.
Understanding of
market sophistication and awareness stages
.
Experience identifying and developing
unique mechanisms or differentiated offers
.
Familiarity with
first-party data environments and creative-led targeting strategies
.
Experience documenting insights and building internal knowledge systems using tools like
Notion
.
Comfort using
AI tools such as ChatGPT or Claude
to accelerate research and ideation.
Benefits
Fully Remote: Work from anywhere with international teams
Peer Community: Connect with high-performing professionals in our network
Ongoing Support: Receive guidance from Huzzle before and after placement
Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.
We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
What you’ll do
Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.
Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.
Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.
Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.
Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.
Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.
Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.
Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.
You may be a good fit if you
Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead
Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.
Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.
Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.
Strong candidates may also have
Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.
Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.
Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.
Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.
Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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