Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Portugal) language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Turkish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Spanish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level German language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Italian language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level French proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We’re looking for teammates who bring:
- High IQ, energy, and agency.
- Extreme autonomy and ownership.
- The ability to move fast, experiment constantly, and learn even faster.
- Resilience under pressure and readiness for an always-on environment.
- A balance of empathy, judgment, and community intuition.
- The drive to raise the standard for the entire team, not just yourself.
WHAT YOU WILL WORK ON
- Responding to user questions quickly, clearly, and accurately.
- Solving product-related issues and guiding users through steps with clarity and empathy.
- Identifying bugs, unusual cases, or refund requests and escalating them via workflows.
- Following internal policies and using automation tools to keep response times fast.
- Maintaining a professional, friendly, and helpful tone in every interaction.
YOUR MUST HAVES
- Excellent written English (C1).
- Experience in customer support, moderation, or live chat (1+ year must-have).
- Strong communication skills and ability to stay calm under pressure.
- Fast learner: you can quickly understand new tools, products, and workflows.
- Attention to detail and reliability in handling multiple conversations at once.
- A-player mindset: ownership, consistency, and a desire to make users happy.
NICE TO HAVES
- Experience in tech, SaaS, or AI-related products.
- Familiarity with Zendesk, Intercom, or other support systems.
- Basic understanding of refund flows, billing, or payment platforms (Stripe, Paddle, etc).
- Previous work in a startup or high-speed environment.
THE DEAL
- Competitive salary in USD, reviewed as you grow;
- On-site role in our Almaty office;
- Access to Higgsfield products and the AI tools we use internally;
- Breakfast, lunch and good coffee on us;
- Full-time position with high ownership and growth potential.
Location: South Africa; Mexico; Colombia; Argentina; Ethiopia; Egypt
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and innovative tech platforms in industries such as SaaS, MarTech, FinTech, and Cybersecurity. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
About the Company
Our client is a rapidly growing cybersecurity and managed services provider delivering cutting-edge solutions to businesses across multiple industries. With a strong focus on threat prevention, network security, and compliance, they help organizations safeguard their digital infrastructure. The company is scaling its marketing function to support aggressive growth targets and expand its global footprint.
Job Summary
We are seeking a Marketing Specialist with proven experience in cybersecurity, MSP, ISP, or other technical B2B industries to drive demand generation and brand visibility. This role is ideal for a results-driven marketer who understands complex technical offerings and can translate them into compelling campaigns that generate high-quality leads.
Key Responsibilities
Develop and execute B2B marketing campaigns focused on cybersecurity and managed IT services
Plan and manage lead generation strategies, including email marketing, paid ads, and outbound campaigns
Create and optimize technical marketing content (blogs, case studies, whitepapers, landing pages)
Collaborate with sales teams to align marketing efforts with pipeline and revenue goals
Manage CRM and marketing automation tools (e.g., HubSpot, Salesforce) for campaign tracking and reporting
Conduct market research and competitor analysis within the cybersecurity and MSP landscape
Oversee SEO/SEM strategies to increase inbound traffic and conversions
Track and analyze campaign performance, providing actionable insights and optimization recommendations
Requirements
2+ years of marketing experience within cybersecurity, MSP, ISP, or technical B2B industries
Proven track record in demand generation and lead generation campaigns
Strong understanding of cybersecurity solutions, IT services, or network infrastructure
Experience with CRM systems and marketing automation tools
Excellent written and verbal communication skills, with the ability to simplify technical concepts
Data-driven mindset with experience analyzing marketing performance metrics
Ability to work remotely and collaborate with global teams
Benefits
💰 Competitive salary based on experience and qualifications
🌎 Fully remote role with a flexible work environment
🚀 Work with a high-growth cybersecurity company in a rapidly expanding market
📈 Clear career progression with opportunities to move into senior marketing roles
🎯 Direct impact on revenue growth and strategic marketing initiatives
🤝 Structured onboarding, ongoing support, and performance-based incentives
Location: South Africa; Philippines; Pakistan; Egypt; Poland; Romania
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
We are hiring a Go-To-Market (GTM) Engineer to design, build, and optimize the systems that power outbound sales, lead generation, and revenue operations. This is a highly technical, revenue-facing role that sits at the intersection of sales, marketing, and engineering.
You will be responsible for implementing scalable GTM infrastructure, automating workflows, integrating tools, and enabling sales teams to operate more efficiently. This role is ideal for someone with strong experience in CRM systems, sales automation tools, APIs, and data workflows.
Key Responsibilities
Build and maintain GTM systems across CRM, outbound tools, and data platforms
Design and optimize automated outbound sales workflows and sequences
Integrate tools such as CRM platforms (e.g., Salesforce, HubSpot), enrichment tools, and outreach platforms
Develop scripts and workflows to improve lead routing, scoring, and qualification
Collaborate with sales and marketing teams to improve pipeline generation
Manage and maintain data integrity across systems
Analyze performance metrics and optimize GTM processes for conversion and efficiency
Implement AI and automation solutions to enhance outbound and inbound strategies
Requirements
2–5+ years of experience in a GTM Engineering, RevOps, or Sales Operations role
Strong experience with CRM platforms (e.g., HubSpot, Salesforce)
Proficiency in automation tools (e.g., Zapier, Make, Clay, Outreach, Apollo)
Basic to intermediate coding skills (JavaScript, Python, or similar)
Experience with APIs, webhooks, and system integrations
Strong understanding of outbound sales processes and lead generation
Analytical mindset with experience working with sales data and KPIs
Excellent communication skills and ability to work cross-functionally
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: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements.
- Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning.
- Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support.
- Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable.
- Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements.
- Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements.
- Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans.
WHAT YOU'LL BRING
- 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work.
- Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing).
- Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes.
- Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans.
- Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought.
- Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams.
- Degree in Computer Science or a related field, or equivalent professional experience.
EVEN BETTER…
- Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments.
- Past experience at an early-stage company where you built deployment operations, playbooks, and tooling.
- Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar).
- Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Senior Software Engineer, Billing on this team will keep systems running, help define what safe, observable, AI-assisted infrastructure operations look like in practice, and model that standard for the rest of the team.
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; contribute to module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Implement deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks in the team's systems and drive improvements, including work that reaches into adjacent teams or services
- Participate in incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers on the team; your technical judgment should help raise the bar for how the team builds and operates
QUALIFICATIONS
- 6+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Strong AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Strong Terraform skills; you've built reusable module patterns and can improve the ones a team relies on
- Experience building and owning observability stacks (Datadog, Grafana, or similar) for production services — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements within your team and adjacent systems
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; clear written communication is how you scale your work across the team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
ON-CALL
Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected the systems your team owns, and you know how to build alignment and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
WHAT TO EXPECT
First 30 days
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
First 90 days
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and will be contributing to the team's technical direction.
One year outlook
You will be one of the team's go-to engineers on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: CIS; Baku; Serbia
Workplace: remote
ABOUT YOU
We are seeking a highly analytical and hands-on Senior FinOps Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on-prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.
The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS) and experience working in Kubernetes-centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data-driven decision-making. You balance tactical optimizations with long-term architectural improvements and know how to navigate both engineering conversations and executive discussions.
If you’re passionate about building scalable FinOps practices in a fast-growing, product-led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability
Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability
Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services
Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability
Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies
Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies
Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers
Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders
Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity
Qualifications:
5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization
Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling
Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments
Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.)
Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models
Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders
Excellent communication skills with the ability to translate technical concepts into business-focused recommendations
Fluent in English (written and verbal)
Nice To Have:
GCP and/or AWS cloud certifications (on Professional level, preferable)
Understanding of FinOps Framework practices or FinOps Certified Practitioner certification
Prior experience in gaming, high-growth tech, SaaS, or multi-cloud platform environments
Familiarity with chargeback/showback models, internal cost allocation systems, or multi-tenant architectureExperience with Terraform, Helm, or GitOps workflows in cost-related automation
Background in data analytics, cloud architecture, or financial modeling
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth
Note
This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the FinOps Engineer, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
Location: Poland
Who we are
We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.
We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.
Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.
Our culture
Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.
That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.
About The Role
We are seeking established Senior Relationship Managers in various locations.
We are looking for Relationship Managers with a portable book of business: professionals whose client relationships are strong enough to follow them. You will be expected to begin onboarding clients from your existing network within your first months, while also prospecting new markets and attracting new clients.
The ideal candidates will have a strategic mindset, excellent communication skills, and the ability to manage complex client interactions across different time zones and cultures.
The candidate must have a proven track record of business development and sales to HNWI, Private Wealth Management, Asset Managers, Fund Managers, Family Offices, and other private investors, with demonstrable client loyalty that translates into transferable AUM. Experience ideally spans to both segments: private clients (HNWI) and institutional B2B relationships
Reporting Line - Regional Head of Sales
Responsibilities
Client Relationship Management:
Act as a liaison to top-tier clients, including premium retail, high net worth individuals and institutional clients.
Provide solutions to client inquiries while complying with all company policies, practices, and procedures.
Conduct regular meetings with clients to review their needs, goals, and satisfaction levels.
Business Development:
Onboard and activate clients from your existing network, and identify opportunities to expand services and solutions to existing clients.
Collaborate with the Regional Head, Sales, and Marketing teams to formulate strategies aimed at enhancing client relationships and supporting business development.
Negotiate contracts and agreements to enhance business performance and client satisfaction
Problem Management and Resolution:
Focus on managing wide-scale service issues and handling trade-related problems.
Oversee trade and margin analysis, manage accounts and funding processes, and apply a strong understanding of cash markets, equities, and derivatives to support client needs.
Address and resolve client issues promptly and effectively.
Strategic Planning:
Develop and implement strategic plans to enhance client relationships and achieve business objectives.
Analyze market trends and client feedback to identify areas for improvement and innovation.
Collaborate with internal teams to ensure alignment with client expectations and company goals.
Project Management:
Oversee the delivery of services and solutions to clients, ensuring timely and successful implementation.
Work in cross-functional teams to address client issues and deliver exceptional service.
Monitor projects’ progress and report on key performance indicators (KPIs).
Internal Coordination:
Coordinate with various internal departments, such as technical operations and programming, to analyze and escalate issues appropriately.
Maintain detailed records of client interactions, contracts, and agreements.
Prepare regular reports on client status, project progress, and business development activities..
What Success Looks Like
Month 1-6: activation of your existing client relationships and expected measurable net new AUM starting to materialise from third month onwards.
Ongoing: expansion of your book through referrals and new-market prospecting.
Qualifications
10+ years in a sales role in the financial services or investment industry
A portable book of business: an established, loyal client base (HNWI, private wealth management, asset managers, fund managers, family offices and other private investors) ready to onboard with you.
Proven experience in institutional B2B sales – building and managing relationships with institutional counterparties (asset managers, fund managers, wealth management firms, family offices) alongside private clients.
Excellent knowledge of the securities market: stocks, ETFs, bonds, futures and options.
Strong understanding of international business practices and cultural sensitivities.
Motivation for developing business and high energy with a good sense of priorities and time management
Fluent English. Additional languages will be an asset
Personality and Mindset
Entrepreneurial owner mentality – a hands-on, can-do attitude; you run your book like your own business and don’t expect leads or hand-holding
Honesty and integrity – direct and transparent with clients, even in difficult conversations
Team player with advanced communication and collaboration skills
Competitive drive and an overachiever mentality – visible appetite to win, motivated by performance-based upside
Persistence and resilience – disciplined daily follow-up, and the durability to stay motivated through setbacks and slower periods
Adaptability – you thrive in the pace, ambiguity and evolving processes of a fast-growing fintech
What We Offer*
Competitive compensation that reflects your experience and the value you bring, plus uncapped performance-based commission that scales with the revenue your book generates.
Flexibility that fits your life: work from home, from our office, or a mix of both. You decide what works best.
Flexible benefits, where available under your engagement: you choose the options that suit you, not a one-size-fits-all bundle.
A genuinely good place to work: an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way.
Continuous learning: ongoing training, education programmes, and the support to deepen your expertise in a fast-moving industry.
Connection beyond your desk: events that bring our teams together to network and celebrate.
Global exposure: work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries.
*Benefits/perks vary depending on the nature of your employment with the company and the country where you work
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.
We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.
Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.
Location: Paris, France
Workplace: OnSite
🤖 WHO WE ARE
We’re building Mo — a health companion for everyone.
We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care.
Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖.
We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe.
🚀 WHAT KEEPS US UP AT NIGHT
We’re building a medical agent that works — reliably, safely, and at scale.
You’ll work at the intersection of product engineering, ML engineering, and medical expertise. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on:
- 💬 Deliver the most memorable chatting experience — You’ll work on making Mo the obvious choice when it comes to asking a health question. It means having a world-class snappy and delightful chatting experience, blazing fast time to answer, and rich content shared.
- 🧱 Integrate Mo with Alan services and our healthcare system — You’ll work on integrating Mo with our other services (digital chat with HP, map of physical location of HPs, tailored prevention programs, …) to help members get from words to actions.
- ➕ Extend our architecture to support the next chapters of Mo — You’ll work on our architecture, and agentic framework, to support Mo’s next needs (get more context, use new skills, be accessible in other countries we operate in)
If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently.
🎯 IS IT YOU WE’RE LOOKING FOR?
We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare.
- You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people.
- You’ll implement new capabilities for Mo, working across engineering, data, and medical expertise
- You'll have deep product ownership over the use cases supported in Mo, making sure we actually help our members get and stay better.
- You’ll have significant influence on system architecture and code quality
- You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).
You would be a good fit in Mo if most of this sounds like you:
- Applied background in software engineering and systems architecture
- Experience with traditional ML, or LLMs, or ML dev ops is a big plus.
- Product-minded: you want your solutions to be used, and impactful
- Self-directed, pragmatic, driven, hard working
- Humble and still willing to grow (no matter your seniority!)
- Collaborative, enthusiastic about teamwork, learning, and teaching
- Fluent in English (no need to speak French!)
- Ex-founders are typically great fit in our team
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
🤘 HOW WE DO IT ?
We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our https://www.notion.so/alaninsuranceShareholder Letters https://alan.com/en/blog/discover-alan/a/alan-2025-q3-letter-to-shareholders are worth a read.
People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as:
HOW WE WORK: OUR LEADERSHIP PRINCIPLES
- Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else.
- Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results.
- Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously.
- Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
#LI-DNP
Location: Hong Kong
Top 3 Reasons To Join Us
Competitive Salary
Working on the latest tech for the insurtech market leader
Shaping the future of the insurance industry
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global next-gen insurance platform for health, life, and P&C
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Marsh, Sun Life, Dai-ichi, and many more
We have been recognized as the leading insurtech company by Fortune, Financial Times, CNBC, Statista, Asia Insurance Review and many others
We're an international, diverse team of over 250 people with 40 nationalities and team members working remotely from all over the world
We are backed by reputable VC funds and strategic institutional investors
We have a global presence and clients in Asia, Europe, the Middle East, Africa, North America and Latin America
We have built one of the fastest growing insurtech ecosystems with over 100K followers on LinkedIn
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are looking for a driven and strategic Business Development Manager to accelerate our growth globally. You will play a key role in identifying new opportunities, building strong relationships with industry stakeholders, and driving the end-to-end sales process for CoverGo’s platform within the insurance ecosystem.
Identify, qualify, and develop new business opportunities across the insurance space
Conduct thorough research on target clients to understand their business models, challenges, and opportunities
Engage with senior stakeholders across prospective organizations (including insurers, consulting firms, and system integrators) to build strong, long-term relationships
Lead discovery conversations to uncover client needs and position tailored solutions that demonstrate the value of the CoverGo platform
Manage the full sales cycle, from prospecting and initial outreach to deal closure and handover for successful implementation
Utilize sales tools (e.g., CRM platforms, data intelligence tools, and social selling channels) to build and maintain a high-quality pipeline
Collaborate closely with internal stakeholders, including regional leadership, to ensure alignment on strategy and execution
Represent the company at industry events, conferences, and networking opportunities to enhance brand visibility and generate leads
What Success Looks Like
Consistently building and maintaining a strong pipeline of qualified opportunities
Establishing trusted relationships with key decision-makers across target markets
Driving revenue growth through successful deal closures
Contributing to the company’s expansion and market presence globally
What We Need
3+ years of experience in B2B SaaS or technology sales, preferably within insurance or insurtech
Strong understanding of insurance processes and supporting technologies (e.g., SaaS platforms, IT systems)
Excellent communication and presentation skills in English, both written and spoken
Fluency in Cantonese is required
Fluency in Mandarin is a strong advantage
Proven ability to manage complex sales cycles and consistently meet or exceed targets
Experience using CRM systems (such as Salesforce or HubSpot) and sales intelligence tools (e.g., LinkedIn Sales Navigator, ZoomInfo)
An existing network within the insurance industry—particularly in health insurance, managed care, or employee benefits—is a strong advantage
Must be based in Hong Kong
Why You'll Love Working Here
Fully remote
Flexible leave
International environment
Competitive remuneration package
Performance bonus
Company activities and events
Learning and development plan
CoverGo Company
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Location: Brazil; Colombia; Mexico; Argentina; Venezuela, Bolivarian Republic of; Guatemala
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, in-house team member.
About the Company
Our client is a fast-growing B2B SaaS startup transforming how restaurants and quick-service restaurants (QSRs) operate in the U.S. Their all-in-one platform includes mobile apps, online ordering systems, self-service kiosks, AI-powered call handling, and kitchen display systems (KDS). They help restaurants streamline operations, increase order volume, and enhance customer experience through innovative digital solutions.
Job Type:
Full-Time
Location:
Remote
Job Summary
We are hiring a driven Sales Development Representative (SDR) with 1–2 years of tech sales experience to support outbound and inbound sales efforts. This is a high-performance, KPI-driven role ideal for candidates who thrive in a fast-paced remote sales environment and are motivated by targets, growth, and commission potential.
Key Responsibilities
Conduct 60–100 outbound calls daily to prospective restaurant clients
Book 5–8 qualified demos per week for Account Executives
Qualify inbound leads and ensure timely follow-ups
Maintain accurate and up-to-date records in CRM systems
Support seamless handoff of qualified opportunities to the sales team
Collaborate with internal teams to ensure smooth onboarding of new clients
Work independently while consistently achieving performance KPIs
Requirements
1–2 years of experience in tech sales, SaaS sales, or SDR roles
Excellent English communication skills (spoken and written)
Proven ability to meet or exceed KPIs (80–100 calls/day, strong conversion rates)
Reliable, high-speed internet connection and professional remote setup
Highly motivated, self-driven, and results-oriented mindset
Spanish language proficiency (highly preferred)
Experience selling into the restaurant, hospitality, or QSR industry
Familiarity with CRM tools such as HubSpot or similar platforms
Benefits
🌎 Fully remote role with a structured, high-performance environment
🚀 Join a fast-scaling SaaS company disrupting the restaurant tech space
📈 Clear growth path into Account Executive and senior sales roles
🎯 Performance-driven culture with transparent KPIs and incentives
🤝 Direct placement with a U.S.-based client (no outsourcing layer)
Location: Costa Rica; Bolivia, Plurinational State of; Ecuador; Honduras; Brazil; Chile
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a high-performing Sales Development Representative (SDR) to join a fast-growing B2B company. This is a fully remote sales role focused on outbound prospecting, lead generation, and pipeline building.
You will play a critical role in driving revenue growth by identifying and engaging decision-makers, qualifying leads, and booking meetings for Account Executives. This is an ideal opportunity for candidates seeking
remote sales jobs
or looking to grow into a closing role in SaaS or B2B sales.
Key Responsibilities
Conduct outbound prospecting via cold calls, emails, and LinkedIn outreach
Identify and qualify potential B2B clients through research and discovery
Book high-quality meetings and demos for the sales team
Maintain accurate records of outreach and pipeline activity in CRM systems
Collaborate with marketing and sales teams to optimize outreach strategies
Consistently meet or exceed KPIs (calls, emails, meetings booked)
Personalize messaging to engage prospects and improve conversion rates
Requirements
3+ years of experience in Sales Development, Lead Generation, or B2B Sales
Strong communication and interpersonal skills
Proven experience with outbound sales (cold calling and emailing)
Familiarity with CRM tools (e.g., HubSpot, Salesforce)
Ability to work independently in a remote environment
Highly organized with strong attention to detail
SaaS sales experience is a strong bonus
Experience selling to international markets (US/UK) is a plus
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
УдалённоCosta Rica; Bolivia, Plurinational State of; Ecuador; Honduras; Brazil; Chile
Location: Colombia; Argentina; Guatemala; Venezuela, Bolivarian Republic of; Peru; Panama
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a
results-driven Business Development Representative (BDR)
with
proven closing experience
to take ownership of the full sales cycle—from outbound prospecting to closing deals. This role goes beyond traditional SDR responsibilities and is ideal for someone who can confidently move prospects through the funnel and convert opportunities into revenue.
Key Responsibilities
Identify, prospect, and engage high-quality leads through outbound channels (cold calls, emails, LinkedIn outreach).
Qualify inbound and outbound leads and move them efficiently through the sales pipeline.
Conduct discovery calls, deliver tailored pitches, and handle objections effectively.
Own and manage the
full sales cycle
, including negotiation and closing.
Maintain accurate records of all sales activities in CRM systems (e.g., HubSpot, Salesforce).
Collaborate with marketing and senior sales leadership to refine outreach strategies.
Consistently meet and exceed monthly revenue and conversion targets.
Build strong relationships with prospects and stakeholders to drive long-term value.
Requirements
2–5+ years of experience in sales, business development, or closing roles.
Demonstrated success in closing deals (not just lead generation).
Strong outbound sales experience (cold calling, email sequencing, LinkedIn outreach).
Excellent communication, negotiation, and objection-handling skills.
Proven ability to manage a pipeline and hit revenue targets.
Experience with CRM tools such as HubSpot, Salesforce, or similar.
Self-motivated, competitive, and comfortable in a high-performance environment.
Experience selling in SaaS, tech, or B2B services is highly preferred.
Excellent written and spoken English.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
УдалённоColombia; Argentina; Guatemala; Venezuela, Bolivarian Republic of; Peru; Panama
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
УдалённоSouth Africa; Philippines; Pakistan; Egypt; Poland; Romania
ОфисSan Francisco, CA; New York, NY
УдалённоseniorSeattle, WA
УдалённоCIS; Baku; Serbia
seniorPoland; The ideal candidates will have a strategic mindset, excellent communication skills, and the ability to manage complex client interactions across different time zones and cultures