Location: Netherlands
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
- Native-level Dutch proficiency, both written and spoken.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Mexico
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Italy
Workplace: Hybrid
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Ireland
Workplace: Hybrid
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Hungary
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Brazil
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Austria
Workplace: Hybrid
DEPLOYMENT STRATEGIST, (F/M/X) AUSTRIA - HYBRID - AGENTIC AI
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
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: 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: 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: Argentina; Brazil; Mexico; Colombia; Costa Rica
Overview
We are seeking a
Senior Mechanical Engineer
to support the design and development of
Battery Energy Storage Systems (BESS)
. This role focuses on the mechanical design of equipment enclosures and integrated platforms that house batteries, inverters, transformers, and other power infrastructure.
The ideal candidate has strong experience in
mechanical product design using SolidWorks
, with exposure to
sheet metal, structural assemblies, and thermal management of electrical equipment
.
Key Responsibilities
• Design
mechanical enclosures and structural platforms
for battery energy storage systems.
• Develop
equipment layouts and mechanical assemblies
supporting service access, ventilation, and cable routing.
• Create
3D models and detailed drawings in SolidWorks
, including sheet metal and weldments.
• Perform
structural and thermal analysis
to support battery cooling and system safety.
• Coordinate closely with
electrical and manufacturing teams
to ensure proper equipment integration.
• Support
prototype builds, testing, and product development phases
.
Requirements
• Bachelor’s degree in
Mechanical Engineering
.
•
7+ years of experience
in mechanical design for industrial equipment or energy systems.
• Strong experience with
SolidWorks (sheet metal, weldments, large assemblies)
.
• Experience with
structural design and thermal management
for electrical or power equipment.
• Familiarity with
engineering documentation, BOMs, and manufacturing processes
.
• Strong
English communication skills
.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorArgentina; Brazil; Mexico; Colombia; Costa Rica
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: Dhahran, Saudi Arabia
Eram Talent is looking for a passionate and creative Graphic Designer to join our talented team. In this role, you will be responsible for conceptualizing and designing visually appealing materials that communicate our brand message effectively. You will work on a variety of projects including digital graphics, print media, branding elements, and promotional materials. The ideal candidate will have a strong artistic vision and the technical skills to bring ideas to life. At Eram Talent, we value innovation and creativity, and we encourage our designers to explore new techniques and stay updated with industry trends.
The primary role of the experienced graphic designer is to support less complex activities related to designing executive QBRs, business plan presentations, quarterly newsletters, recognition programs, awareness booths and media, employee engagement activities, and townhall events. Additionally, the graphic designer is expected to collaborate with the automation team to assist in designing dashboard platforms, visuals, and reports.
Responsibilities
Evaluate design instructions and determine requirements
Conceptualize visuals based on requirements
Suggest drafts and ideas for review
Create illustrations, visuals, and other designs using software or manual drawings
Use appealing colors and outlines in each graphic
Collaborate with group leaders and relevant stakeholders to produce final designs
Test graphics across various media platforms
Modify or redesign tasks based on feedback
Ensure all graphics and outlines are visually appealing and aligned with brand standards
Requirements
Bachelor's degree in Graphic Design, Visual Arts, or related field.
Proven experience in graphic design, with a strong portfolio showcasing your work.
Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and other design software.
Technical skills in Power BI
Creativity in developing illustrations and animations
Strong understanding of design principles, typography, and color theory.
Ability to work collaboratively in a team environment and communicate ideas effectively.
Detail-oriented with excellent time management skills.
Knowledge of web design and basic HTML/CSS is a plus.
Dhahran, Saudi Arabia
Mexico
ГибридItaly
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