Location: Canada
About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
(CANADA BASED) AI Data Collector — Turn the World Into Your Workplace!
Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid
competitively while doing something fun, flexible, and impactful?
We’re looking for curious, detail-oriented individuals to join us as
AI Data Collectors
. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.
What You’ll Do
As an AI Data Collector, you will:
Capture assigned images in real-world environments
, following specific project guidelines.
Photograph objects, scenes, or activities across a wide range of
settings, backgrounds, lighting conditions, and angles
.
Travel locally to collect data in
homes, offices, stores, parks, streets, or other everyday locations
.
Follow detailed instructions
to ensure image quality, variation, and accuracy.
Document your process
when needed and upload collected data through provided tools.
Work independently, manage your time, and meet project deadlines.
Support the development and improvement of next-generation AI technologies.
Who You Are
You’ll thrive in this role if you:
Love exploring new places and noticing details others might miss
Are reliable, self-motivated, and comfortable working solo
Enjoy task-based, flexible work that changes from project to project
Have a smartphone or camera with solid image quality
Can follow instructions carefully and consistently
Why You’ll Love This Role
Competitive pay
Flexible schedule — work when and where it fits your life
Perfect for people who enjoy movement, creativity, and variety
A chance to directly influence cutting-edge AI systems
No prior experience needed — just enthusiasm and a keen eye!
If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us.
Note: all data collections must be completed safely and lawfully. Never complete data collection in a way that would risk injury to you or others.
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to
$12.20
/hour
Location: Bulgaria
About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
(BULGARIA BASED) AI Data Collector — Turn the World Into Your Workplace!
Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid
competitively while doing something fun, flexible, and impactful?
We’re looking for curious, detail-oriented individuals to join us as
AI Data Collectors
. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.
What You’ll Do
As an AI Data Collector, you will:
Capture assigned images in real-world environments
, following specific project guidelines.
Photograph objects, scenes, or activities across a wide range of
settings, backgrounds, lighting conditions, and angles
.
Travel locally to collect data in
homes, offices, stores, parks, streets, or other everyday locations
.
Follow detailed instructions
to ensure image quality, variation, and accuracy.
Document your process
when needed and upload collected data through provided tools.
Work independently, manage your time, and meet project deadlines.
Support the development and improvement of next-generation AI technologies.
Who You Are
You’ll thrive in this role if you:
Love exploring new places and noticing details others might miss
Are reliable, self-motivated, and comfortable working solo
Enjoy task-based, flexible work that changes from project to project
Have a smartphone or camera with solid image quality
Can follow instructions carefully and consistently
Why You’ll Love This Role
Competitive pay
Flexible schedule — work when and where it fits your life
Perfect for people who enjoy movement, creativity, and variety
A chance to directly influence cutting-edge AI systems
No prior experience needed — just enthusiasm and a keen eye!
If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us.
Note: all data collections must be completed safely and lawfully. Never complete data collection in a way that would risk injury to you or others.
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to
$6.60
/hour
Location: Austria
About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
(AUSTRIA BASED) AI Data Collector — Turn the World Into Your Workplace!
Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid
competitively while doing something fun, flexible, and impactful?
We’re looking for curious, detail-oriented individuals to join us as
AI Data Collectors
. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.
What You’ll Do
As an AI Data Collector, you will:
Capture assigned images in real-world environments
, following specific project guidelines.
Photograph objects, scenes, or activities across a wide range of
settings, backgrounds, lighting conditions, and angles
.
Travel locally to collect data in
homes, offices, stores, parks, streets, or other everyday locations
.
Follow detailed instructions
to ensure image quality, variation, and accuracy.
Document your process
when needed and upload collected data through provided tools.
Work independently, manage your time, and meet project deadlines.
Support the development and improvement of next-generation AI technologies.
Who You Are
You’ll thrive in this role if you:
Love exploring new places and noticing details others might miss
Are reliable, self-motivated, and comfortable working solo
Enjoy task-based, flexible work that changes from project to project
Have a smartphone or camera with solid image quality
Can follow instructions carefully and consistently
Why You’ll Love This Role
Competitive pay
Flexible schedule — work when and where it fits your life
Perfect for people who enjoy movement, creativity, and variety
A chance to directly influence cutting-edge AI systems
No prior experience needed — just enthusiasm and a keen eye!
If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us.
Note: all data collections must be completed safely and lawfully. Never complete data collection in a way that would risk injury to you or others.
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to
$13.20
/hour
Location: Remote
About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
AI Data Collector — Turn the World Into Your Workplace!
Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid
competitively while doing something fun, flexible, and impactful?
We’re looking for curious, detail-oriented individuals to join us as
AI Data Collectors
. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.
What You’ll Do
As an AI Data Collector, you will:
Capture assigned images in real-world environments
, following specific project guidelines.
Photograph objects, scenes, or activities across a wide range of
settings, backgrounds, lighting conditions, and angles
.
Travel locally to collect data in
homes, offices, stores, parks, streets, or other everyday locations
.
Follow detailed instructions
to ensure image quality, variation, and accuracy.
Document your process
when needed and upload collected data through provided tools.
Work independently, manage your time, and meet project deadlines.
Support the development and improvement of next-generation AI technologies.
Who You Are
You’ll thrive in this role if you:
Love exploring new places and noticing details others might miss
Are reliable, self-motivated, and comfortable working solo
Enjoy task-based, flexible work that changes from project to project
Have a smartphone or camera with solid image quality
Can follow instructions carefully and consistently
Why You’ll Love This Role
Competitive pay
Flexible schedule — work when and where it fits your life
Perfect for people who enjoy movement, creativity, and variety
A chance to directly influence cutting-edge AI systems
No prior experience needed — just enthusiasm and a keen eye!
If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us.
Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to $100/hour for US based candidates.
Location: European Union
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
What we can offer
Full-time independent contractor engagement (B2B)
through the
Ontop
contractor platform
, working via your own company or business entity;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: Remote
About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
AI Content Creator — Get Paid to Create Short-Form Content!
Do you love being on camera? Enjoy creating content and telling stories? Want to get paid competitively for short, flexible projects you can do on your own schedule?
We're looking for engaging, creative individuals to join us as AI Content Creators. In this role, your personality and creativity are your biggest assets. You'll help shape the future of AI by producing short-form video content based on project briefs — no two assignments are exactly alike.
What You'll Do
As an AI Content Creator, you will:
Film short video clips ranging from 30 seconds to 2 hours based on project guidelines
Create content across a variety of topics, formats, styles, and settings
Follow detailed creative briefs to ensure content quality, variation, and accuracy
Upload completed content through provided tools and platforms
Work independently, manage your own time, and meet project deadlines
Support the development and improvement of next-generation AI technologies
Who You Are
You'll thrive in this role if you:
Are comfortable and confident on camera
Are reliable, self-motivated, and can take direction well
Enjoy task-based, flexible work that changes from project to project
Have a smartphone or camera capable of shooting quality video
Can follow creative briefs carefully and consistently
Experience as a content creator is a plus, but not required
Why You'll Love This Role
Competitive pay — average $80/hour for approved work
Flexible schedule — create content when and where it fits your life
Perfect for creators, performers, and anyone who loves being on camera
A chance to directly influence cutting-edge AI systems
No prior experience required — just confidence, creativity, and a willingness to show up!
If you're ready for gig work that lets you express yourself and get paid for it, we'd love to have you.
Important:
This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to $80/hour for US-based candidates.
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: 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: 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: UK
Forward Networks is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment.
Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward Networks customers realize an average of $14.2 million in annual benefits through improved efficiency and security.
Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward Networks offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.
Forward Networks is looking for an experienced Regional Sales Director UK
Do you want to create a category and help build a special company?
Do you want to sell a platform that solves real networking problems?
Do sensible quotas and no cap on earnings pique your interest?
Join a company that has been in the market 6+ years and has some of the top F500/Global 2000 and Federal agencies already buying and referenceable.
If you have 7-10 years of wildly successful experience selling to large enterprises and have also been on the journey of building a growth stage company...you may be the one!
We are building a special team and hope you consider us if you want to be part of changing the networking world as we know it.
Responsibilities
Own the development and execution of your sales strategy in territory that aligns with the company's goals and objectives
Identify and qualify leads, and generate new Fortune 1000 opportunities in order to achieve quota on a quarterly and annual basis
Build strategic working relationships with clients, maintaining a high level of face-to-face contact
Analyze potential sales opportunities by using data analysis and segmented research to identify the attributes most valued by our potential clients
Develop a deep understanding of the competitive landscape and maintain a client database
Requirements
Minimum of 7-10 years in Enterprise Sales focused on large enterprises.
Proven track record of meeting and exceeding quota in technology sales
Deep understanding of the networking and security industry, products,
competitors, history, emerging trends, and changing marketplace.
Experience in selling Enterprise software with an ARR model preferred
Must be able to communicate business and technical value to all levels of
management
Excellent communication and listening skills; persuasive
Background in IT infrastructure
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.
Location: Philippines
Workplace: remote
Contract Type: Freelance
Language: English (Philippines)
About the Role
We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.
What You Will Do:
- Review and label content for sentiment, factual accuracy, and reasoning issues.
- Evaluate model outputs across quality dimensions using scoring frameworks.
- Validate automated assessments and identify discrepancies or errors.
Requirements:
Advanced English proficiency (reading and writing) with professional-level fluency.
Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications.
Previous experience in data annotation, AI training, or related projects.
Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains.
Exceptional attention to detail and accuracy.
Proven analytical reasoning and critical thinking abilities.
Consistency in decision-making across high volumes of tasks.
Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
ABOUT THE ROLE
- We have an awesome and collaborative team that loves helping each other and brainstorming new ideas.
- Our work is highly visible and directly impacts our users, product, revenue and brand.
- We work deliberately and thoughtfully, but with quick iteration cycles.
- Your designs will make an immediate impact on the product.
- We work with every team in the company and maintain the visual language at Teleport.
- Engineers at Teleport genuinely care about how the product works, and they are exceptional partners in the product development process.
WHAT YOU'LL DO
- Communicate design ideas through storyboards, diagrams, wireframes, high-fidelity designs, and interactive prototypes.
- Collaborate with engineers to identify requirements and limitations throughout planning, design, and implementation phases.
- Solve data scalability challenges with elegant user interfaces.
- Test and validate new features and designs with user research.
- Collaborate with fellow designers on a shared company-wide design system.
- Advocate for design best practices and contribute to the design culture at Teleport.
- Contribute to the overall design and decision-making process for product and design strategy.
- Help build the brand for the product and company.
- Create designs for upcoming products and features.
- Identify pain points in the product and create designs to improve/fix them.
- Test and validate new features, identifying ways to improve them.Add new components and documentation to the product design system.
- Lead collaborative workshops to facilitate problem solving and creative thinking.
WHAT WE'RE LOOKING FOR
- Strong design background and online portfolio.
- Understanding of information architecture, user experience, and interaction design best practices.
- Experience with user research, especially moderated usability testing.
- Mastery of responsive design: ability to support a range viewport sizes from widescreen monitors to mobile devices.
- A positive attitude and collaboration skills.
- Clear and direct communication, and skill at bringing clarity in ambiguous situations.
- Skill at leading design reviews and collaborative workshops.
- Experience engaging with and designing for technically complex workflows, and an ability to work closely with engineers to identify technical requirements and limitations.
- Experience creating interfaces that organize and scale with large amounts of data.
- Fluency in Figma and design and prototyping tools.
HOW WE HIRE
Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do.
For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout.
You'll start with a 30-minute recruiter screen, followed by a 45-minute Hiring Manager Intro, a 1-hour Portfolio Review, and a Product Design Challenge.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: Yerevan, Armenia
Description
We are looking for an analytical, proactive, and internationally minded
International Finance Manager
to join our team and support the Group's global operations and expansion initiatives.
In this role, you will play a key part in establishing and managing international entities, coordinating with advisors across multiple jurisdictions, ensuring ongoing corporate, accounting, and tax compliance, and supporting cross-border financial operations. You will work closely with leading international consultants, auditors, and internal stakeholders, contributing directly to strategic projects and the Group's continued growth.
This is an excellent opportunity for a professional who enjoys combining international finance, corporate structuring, regulatory compliance, stakeholder management, and strategic project coordination in a dynamic multinational environment.
Responsibilities
Support the Group's international expansion initiatives by researching tax, corporate, and regulatory requirements in new jurisdictions
Coordinate the establishment, structuring, and ongoing administration of international entities in collaboration with local consultants, lawyers, accountants, and corporate service providers
Maintain internal accounting records for international entities and reconcile them with financial reports prepared by local accountants and consultants
Review financial statements, tax filings, and compliance reports and provide analysis, recommendations, and risk assessments
Ensure timely compliance with corporate, accounting, tax, and regulatory requirements across multiple jurisdictions
Manage relationships with external consultants, auditors, legal advisors, accountants, and other professional service providers
Coordinate service engagements, agreements, and document flows with international partners and consultants
Oversee intercompany transactions, invoicing processes, settlements, and other cross-border financial operations
Support transfer pricing compliance and coordination between Group companies
Participate in budgeting, funding, cash flow planning, and financial forecasting activities for international entities
Coordinate external audits and provide required documentation, information, and explanations to auditors
Review contracts and support finance-related approval, governance, and documentation processes
Collaborate with Legal, Compliance, HR, IT, International Relations, and other business functions to ensure successful execution of international projects
Support group restructuring, reorganization, and other strategic cross-border initiatives
Drive process improvements, automation, and AI-powered initiatives within the finance function
Requirements
Master’s degree in Finance, Accounting, Economics, Law or a related field (ACCA or similar professional qualification is an advantage)
At least 5 years of relevant professional experience in international finance, tax or corporate structuring
Strong knowledge of international tax principles, corporate regulations and transfer pricing rules
Experience working with foreign consultants and managing cross-border entity structures
Understanding of IFRS and international financial reporting principles
Excellent analytical, research, and financial planning skills
Proficiency in Microsoft Office
Excellent knowledge of Armenian, English and Russian
Ability to manage multiple projects across jurisdictions and meet strict deadlines
Strong organizational, communication and negotiation skills
High level of responsibility, attention to detail and problem-solving mindset
Ability to work independently and collaboratively within a team
Bulgaria
Austria
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