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.
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 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: China (Remote); Taiwan (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
The TeamViewer Digital Employee Experience (DEX) platform finds and resolves IT issues before they affect users. Over the past several years, we have successfully built and released products that make IT administrators' day-to-day life easier. Our vision is to become THE unified endpoint management solution for our customers.
We’re looking for a Senior QA Engineer to play a key role in ensuring high quality in our DEX platform via consistent & reliable automated testing, with high coverage of our core functionalities.
As part of an Agile team, you will be an individual contributor working on the automated testing of our DEX platform (both server and agent), using tools like Playwright, SpecFlow and other testing frameworks. The systems under test are the Platform Server (web application hosted on Azure Kubernetes for SaaS, and on IIS for on-prem) and Agent running as a background service on the endpoints (on Windows, Mac and Linux devices). Your duties will include manual testing, automated functional testing, test data management, maintenance of CI/CD pipelines in ADO and status reporting to senior management.
Enhance the automated testing of DEX features across various platforms, including web, Windows, Mac and Linux
Contribute to the development of our Automation and Scripting solution
Integrate automated tests and maintain the CI/CD pipeline
Conduct and enhance system tests, usability tests, regression tests, compatibility tests, and exploration tests with automation
Collaborate with the development team to shape features for maximum testability, enabling robust functional and automated testing.
Own the test planning, (automated) test development, test execution and test run reporting
Write, review and execute test plans throughout the development life cycle
Support, develop and improve (automated) testing strategies and techniques
Collaborate or lead test automation projects and initiatives
Find bugs, isolate, document, troubleshoot, and track your findings
Ensure test plans thoroughly cover all requirements and customer use cases
Communicate and report test execution results to the product team and leadership team
Mentor and guide automation engineers, promoting best practices and continuous improvement
Requirements
A university degree in Computer Science or Engineering, Information Technology, or any other related subject
4+ years of experience in automated testing and quality assurance
Knowledge of professional testing practices within the SDLC
Proven skills and working history in the design and implementation of automated tests
Experience in communicating with users, other technical teams, and team managers
Experience in working with common software testing tools (Playwright, SpecFlow, Cypress, Ranorex, etc.)
Knowledge of C# or Typescript/JavaScript, and SQL, with a good understanding of the fundamentals of relational databases
Strong attention to detail with a passion for learning and working with innovative technologies
Experience with API testing tools like Postman, and familiarity with JSON and XML
Experience in manual testing
Experience in working with VMs on Hypervisor, ADO build pipelines, and Azure environments
ISTQB certification is a plus
Experience in performance testing (and related tools, such as load simulation with JMeter, K6, LoadRunner etc) is a plus
Experience in debugging and root-cause analysis is a plus
Familiarity with AI-based tools like Co-pilot for Test generation is a plus
Fluency in English is mandatory
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
Location: Lagos, Nigeria
Role Summary
The Card Product Analyst supports the development and optimization of card products by analyzing product performance, customer behavior, and financial metrics. The role provides insights that inform product strategy, pricing, and portfolio growth.
Key Responsibilities
Product Performance Analysis
· Monitor card portfolio performance including spend, activation, utilization, and revenue.
· Track KPIs such as card issuance, transaction volumes, and interchange income.
Data Analysis & Insights
· Analyze customer usage patterns and spending behaviors.
· Provide insights to support product enhancements and marketing campaigns.
Reporting & Dashboard Management
· Develop and maintain product performance dashboards.
· Prepare regular reports for management and stakeholders.
Pricing & Profitability Analysis
· Support pricing strategy through revenue and cost analysis.
· Evaluate profitability across different card products and customer segments.
Product Development Support
· Assist in business case development for new card products.
· Support product launch initiatives with data analysis and performance tracking.
Requirements
· Bachelor’s degree in Finance, Economics, Data Analytics, or related field.
· 2–4 years experience in product analytics, banking analytics, or payments analytics.
· Strong experience with Excel, SQL, Power BI, or similar tools.
Location: Washington, DC
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 Federal Civilian Account Executive - Commerce & Interior at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce (DOC) and Department of the Interior (DOI). You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space preferably with DOC & DOI, alongside a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be 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:
$380,000
—
$450,000 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: Washington, DC
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 Federal Civilian Account Executive - Transport & Land at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Transport (DOT), USDA, HUD and GSA. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space preferably with DOT, USDA, HUD and GSA, alongside a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be 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:
$380,000
—
$450,000 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: 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.
_______________________________________________________________________
THE ROLE
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.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $160,900 – $260,700 base
______________________________________________________________________
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.
______________________________________________________________________
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: Annapolis, MD; Lanham, MD
Position Objective:
The surgical assistant position is a surgery based advanced practice position which includes direct patient care activities under the direct supervision of the surgeon during the first assisting phase of the intraoperative experience.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Competently assists with proper patient positioning, prepping and draping.
Maintains aseptic technique and infection control practices.
Applies knowledge of surgical anatomy, physiology and operative techniques for all procedures.
Works collaboratively with the OR team in pulling equipment and supplies.
Assisting with room turnover and improving first case starts.
Competent and proficient to assist with all specialties and all surgeons as assigned.
Employs and demonstrates team concept with action and communication. Performs functions intra-operatively under the direction of the surgeon and within the scope of practice, experience and capabilities.
Provides hemostasis by clamping, coagulating and ligating vessels.
Provides surgical exposure through appropriate use of instruments, retractors, suctioning and sponging techniques. Performs wound closure as directed by the surgeon using suture, mechanical staplers to include peritoneum, fascia, subcutaneous tissue and skin.
Dissects and creates small incisional wounds for drains, cannulas and trocars as verbally directed and indicated by the surgeon. Applies surgical dressing. Supports infection control practices as directed by departmental and regulatory standards.
Educational/Experience Requirements:
Successful completion of an accredited certified surgical assistant program.
Two (2) years experience as a surgical assistant
Required
License/Certifications:
Certified as a surgical assistant
Working Conditions, Equipment, Physical Demands:
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Demands -
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: London, UK; Oslo, Norway
Workplace: Hybrid
We're hiring a senior engineer for Agent Foundations, the team responsible for how agents work with structured content at Sanity. We own two products. Content Agent https://www.sanity.io/content-agent runs content operations (bulk edits, audits, translation, publishing) through conversation in Sanity Dashboard, Slack, Linear and a headless API. Sanity Context https://www.sanity.io/context (including Knowledge Bases https://www.sanity.io/docs/ai/sanity-context-knowledge-bases) is an MCP endpoint that gives any agent structured retrieval and semantic search over a team's live content, whether it be Sanity Documents or your own federated content from outside Sanity. We're looking for someone who's built AI systems people can depend on in production.
At Sanity.io http://Sanity.io, we build an AI-powered content operating system that lets teams model, create, and automate content the way their business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on it.
Most AI products add a model to a content store. We work on what sits underneath. We build knowledge bases from Sanity datasets https://www.sanity.io/content-lake and external sources, and retrieval that combines GROQ filters with keyword and embedding search. Our agents need to understand schemas, references and validation rules. Telemetry and evals tell us how well the systems work. You'll work across these systems, owning your domain end to end and working closely with product and design to decide what gets built next.
WHAT YOU'D BE DOING:
- Build retrieval and knowledge bases. Turn sources into documents and chunks. Develop how knowledge bases are created, kept fresh and scoped, and how agents query them using GROQ, keyword and semantic search together.
- MCP endpoints and tools give agents their interface to our systems. You'll build these, along with tools and integrations that extend Content Agent.
- Work on agent loops. Write the orchestration logic that controls an agent's actions and their order, including when to bring a human in.
- Engineer system prompts. Give agent instructions the same engineering attention as the code around them.
- Measure and improve reliability, retrieval quality and cost through evals, telemetry and experiments. We measure it in production as well as on test sets.
- Ship across the stack. Build interfaces in Dashboard and Studio, APIs and backend services. Work on Blueprints, the infrastructure-as-code path customers use to define their agents and knowledge.
- Help shape the products. Sanity Context is new and changing quickly. You'll have considerable latitude to decide what it and Content Agent become.
ABOUT YOU:
- Location: London, UK or Oslo, Norway (in-office 2–3 days/week)
- You're strong in TypeScript and React and comfortable working across frontend, APIs and backend (often in Go).
- You've shipped LLM-based systems in production and understand the work it takes to make them behave reliably for every user.
- You understand chunking, embeddings, hybrid search and ranking, including where RAG falls short. Experience with search or information retrieval is a strong plus.
- You think through a capability's user intent, edge cases, failure modes and cost before deciding on the architecture. That includes what the agent needs to know, which tools it can use and when it should escalate.
- You write well and pay attention to how phrasing changes an agent's behavior. You can write precise instructions for a system that interprets language literally.
- You're comfortable working with probabilistic systems. You design evals, run experiments and interpret results statistically, using aggregate trends to decide which failures need attention.
- You have experience with MCP, tool-use patterns and agent architectures, or you're curious enough to explore them.
- You care about the quality of the code and products you ship, down to the writing.
You don't need to meet every requirement to apply. We're especially interested in people who've developed engineering skills after starting in fields such as writing, interaction design or liberal arts. Some of the best agent work we've seen comes from people who understand language and how people work, alongside systems architecture.
WHAT WE CAN OFFER:
- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive stock options program and location-based salary
WHO WE ARE:
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values
Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.
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: Washington, DC
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 Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be 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:
$380,000
—
$450,000 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: Jakarta
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions.
The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems. The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax's unwavering mission.
Ajax Systems is a Ukrainian success story, a place of incredible strength and energy.
Responsibilities
Develop and execute regional marketing strategies to drive B2B sales growth and strengthen partnerships within the assigned region.
Plan, manage, and execute targeted marketing campaigns aligned with the Regional Business Plan and overall company strategy, focusing on expanding and accelerating sales opportunities.
Lead all B2B marketing initiatives in close collaboration with the Business Development Team — including promotions, trade shows, seminars, webinars, certification programs, case studies, presentations, trade marketing, professional media publications, and partner motivation programs.
Exercise strategic decision-making on regional marketing activities to support sales objectives and ensure alignment with business goals.
Monitor, analyze, and report on marketing campaign performance and financial outcomes, recommending improvements to enhance efficiency and ROI.
Develop, localize, and maintain marketing materials and tools, while contributing to the creation of partner development resources by representing regional market needs and specificities.
Oversee the implementation of marketing policies within the distribution network, ensuring all partners receive and effectively utilize marketing assets and materials provided by Ajax HQ.
Act as a regional ambassador, sharing local market insights and partner feedback with the global marketing team to influence strategic direction.
Conduct in-depth analysis of partner performance and market dynamics to identify growth opportunities and strategies for increasing Ajax’s market share.
Collaborate closely with partner marketing, product, and sales teams to strengthen Ajax’s brand presence and drive sustainable sales growth.
Coordinate effectively across internal and external stakeholders, ensuring consistent communication and seamless execution of all marketing initiatives.
Requirements:
5+ years of experience in B2B marketing, ideally in a fast-paced or growth-oriented environment
Fluent English (both written and spoken)
Background in the security industry is a strong advantage
Proven track record in planning and executing successful product, service, or market launches, with strong cross-functional collaboration and leadership skills
Deep understanding of multichannel marketing strategies and the full marketing mix
Demonstrated success in delivering commercially impactful marketing projects
Proactive, open-minded, and results-driven professional with an ambitious yet easy-going approach
Willingness to travel across ASEAN countries
We offer:
Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas.
Opportunity to take on new challenges, advance your career, and make a meaningful impact.
Opportunity to work in one of the most recognized and innovative security manufacturers.
Location: San Jose
Workplace: hybrid
The Customer Success Manager (CSM) is a pivotal role, demanding an individual with truly exceptional interpersonal and relational skills. The ideal candidate must possess a natural ability to foster win/win environments, ensuring positive and productive outcomes for all stakeholders, including the customer, the internal team, and the company. This role is fundamentally focused on driving an outstanding and comprehensive customer experience, moving beyond mere support to actively partnering with customers to ensure they not only adopt but fully realize their desired goals and maximum value from our products and services.
Core Responsibilities and Expectations:
The responsibilities of the Customer Success Manager are comprehensive, covering account management, strategic relationship building, product expertise, and proactive risk mitigation:
Proactive Account Engagement and Relationship Management:
Systematically engage with a carefully curated portfolio of assigned clients.
Maintain a defined and regular communication cadence with each account to continuously monitor product adoption, usage, and overall service satisfaction.
Serve as the client's primary point of contact and trusted advisor, owning the overall relationship from onboarding through renewal.
Regularly conduct business reviews (QBRs) and success planning sessions to align our product capabilities with the customer's evolving strategic objectives.
Driving Growth and Value Realization:
Actively identify opportunities for organic growth within the assigned portfolio, including upselling relevant premium features or expanding product usage across different departments.
Deeply understand the customer's business drivers and objectives to ensure they are fully achieving their desired outcomes and return on investment (ROI) with our solutions.
Facilitate training sessions, workshops, and ongoing education to ensure high-level product competency and maximum feature utilization among key customer personnel.
Client Retention and Risk Mitigation:
Ensure the highest levels of retention and satisfaction for all assigned clients, viewing retention as the ultimate measure of success.
Develop an early warning system to identify potential signs of churn or dissatisfaction (e.g., declining usage, unmet expectations, unresolved issues).
Proactively and swiftly intervene to resolve concerns, develop effective mitigation strategies, and rebuild confidence and partnership when "churn flags" are raised.
Act as the voice of the customer internally, relaying feedback on product needs, service gaps, and competitive landscape to relevant cross-functional teams (e.g., Product, Engineering, Sales).
Customer Enablement and Support Coordination:
Aid clients across the entire customer lifecycle, including providing detailed product training, answering complex questions, troubleshooting initial configuration issues, and coordinating advanced technical support when necessary.
Document all customer interactions, success plans, and retention activities accurately within the Customer Relationship Management (CRM) and Customer Success Management (CSM) platforms.
Create and maintain a library of customer-facing success materials, including best practice guides and use-case examples, to empower clients to be self-sufficient.
Exceptional Communication and Interpersonal Skills:
Ability to articulate complex solutions clearly and persuasively, both verbally and in writing.
Active listening skills to truly understand customer needs, pain points, and strategic goals.
Empathy and the ability to build immediate trust and rapport with C-level executives and end-users.
Sales and Negotiation Acumen:
A consultative, solution-oriented selling approach (not aggressive or transactional).
Ability to identify and qualify expansion opportunities (upsell/cross-sell) by linking product value to customer business outcomes.
Skill in managing complex negotiations, handling objections, and closing expansion deals.
Location: New Delhi
Workplace: Remote
The Client Account Director is responsible for Indian Intelligence and Defence customers who are driven by our mission to make the world a safer place. We support National security(NatSec), law enforcement and civilian agencies to disrupt criminal operations, reduce illicit activity, recover funds for victims, and investigate cases that involve digital assets.
As a Client Account Director you'll establish trust and build strong relationships with National Security stakeholders, tailoring your sales approach to meet their needs, and evangelizing Chainalysis solutions in a compelling yet approachable way. You'll measure your success by attainment of assigned quota, accuracy of forecasting, and the growth of accounts in the region. The ideal candidate is an expert at navigating complex sales cycles, building a calculated account plan, and still enjoys the thrill of closing a deal.
In this role, you'll:
- Establish trust and build strong relationships with Indian Intelligence and Defence Agencies, tailoring our sales approach to their needs.
- Evangelise Chainalysis solutions in a compelling yet approachable way.
- Help us develop compelling product positioning and messaging specific to market trends, competitive drivers, region-specific sales channels, and more.
- Work closely with Customer Success, PreSales, and Marketing teams to lead conversations within your customer base to enable you to achieve your goals.
- Demonstrate exceptional expertise in sales forecasting, ensuring precise and reliable predictions to drive informed decision-making and maximize business growth.
- Consistently use data from sales figures, marketing campaigns, and promotional activities to enable you to meet and exceed sales goals.
We're looking for candidates who have:
- Demonstrated history in a previous B2B SaaS sales role
- Proven sales experience and trusted relationships with Indian Central and/or States Intelligence and national security agencies and/or financial regulators.
- Sold understanding of the procurement systems of Indian Central and/or States National Security and/or financial regulators.
- Articulate, enthusiastic, and effective communication skills and can convey complex concepts in an approachable and concise way.
- Track record in both new business development, delivering accurate sales forecast and strategic & tactical account development
- A passion to deliver on the Chainalysis mission to build trust in Blockchains
- Willing to travel within India for identifying and building sales growth.
Nice to have experience:
- Experience with Financial Intelligence, Investigations, Cyber Security, and/or Cryptocurrency Technologies.
- Knowledge of cryptocurrency, web3, and blockchain technology is advantageous but not required
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
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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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