Location: Korea
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
WHAT YOU’LL DO
Customer-Facing Technical Impact
- Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.
- Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows.
- Travel up to 20–40% to work on-site with customers and partners
Agent Design, Build and Production launches
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance.
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
- Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
Team Mentorship & Organizational Impact
- Mentor engineers across distributed teams.
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
- Contribute to shared frameworks and patterns that enable consistent delivery across customers.
REQUIRED SKILLS & EXPERIENCE
Technical Foundations
- Demonstrated ability to build, ship, and operate production-grade software systems.
- Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.
- Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.
- Strong proficiency in Python and/or JavaScript/TypeScript.
Experience and Leadership
- Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.
- Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.
ADDITIONAL REQUIREMENTS
- Strong written and verbal communication skills.
- Fluency in English and Korean language.
IT’S A BONUS IF YOU HAVE:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Technical Writer to write and edit enterprise documentation that empowers our customers to use Fivetran and understand how our data warehouse, database, and data lake products work. You’ll collaborate with engineers, product managers, support engineers, and other technical writers. You join a friendly team of technical writers distributed among our international offices.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Documentation-as-code tools, including Markdown, Git, GitHub, and CI/CD workflows
Data platforms such as Snowflake, Databricks, and BigQuery
Cloud storage services such as Amazon S3, ADLS, and GCS
Collaboration and project management tools such as Jira and Slack
What You’ll Do
Create and maintain clear, accurate product documentation and release notes that help customers succeed.
Review and refine customer-facing content, including error messages and UI text.
Use a docs-as-code approach to co-author documentation with engineers, product managers, and contributors across the company.
Improve existing documentation by ensuring technical accuracy, clarity, and consistency.
Collaborate with a global writing team to define and evolve documentation standards, style, and terminology.
Partner with engineers, SMEs, and cross-functional teams to deliver best-in-class technical documentation.
Contribute to style guides, templates, and other shared resources that raise the bar for all company content.
Act as a writing resource for other teams, helping improve content quality across the organization.
Skills We’re Looking For
Extensive expertise in data warehouse and data lake documentation:
8+ years of experience documenting data warehouses, databases, data lakes, and cloud applications for a US-centric audience.
Deep technical knowledge:
Experience with complex data lake and data warehouse technologies, cloud platforms (AWS, Azure, GCP), data pipelines (ETL/ELT), and replication techniques.
Scripting, automation, and AI proficiency:
Skilled at leveraging scripting, automation, and AI tools to streamline documentation workflows and enhance technical content delivery.
Exceptional communication skills
: Proven ability to craft clear, concise, and accurate documentation; strong technical editing abilities; impeccable grammar; and consistent application of style guides.
Documentation leadership:
Expertise in content planning, creation, and review processes, with a track record of implementing best practices that elevate documentation quality.
Project management and organizational skills:
Experience leading documentation projects, mentoring writers, managing competing priorities, and adapting to change while delivering high-quality results.
Collaboration and customer focus:
Strong history of working with engineers, writers, and globally distributed teams, translating customer needs into improved documentation that drives customer success.
Bonus Skills
Experience working at technology companies with globally distributed technical writing teams documenting enterprise-grade products or services.
Understanding of the nuances of complex documentation lifecycles and experience working in an Agile environment.
Experience working in a docs-as-code environment, GitHub, Markdown, CLI, and HTML.
Understanding of cloud object storage, metadata catalogs such as AWS Glue and Unity Catalog, and open table formats such as Apache Iceberg and Delta Lake.
Experience documenting configuration and deployment workflows for containerization and orchestration platforms such as Docker, Podman, and Kubernetes.
#
LI-HYBRID
#LI-DB1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote (Canada)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
This role is open to nurses!
ROLE OVERVIEW
The Trust & Safety Analyst protects the integrity of our platform by expertly managing incident reports from start to finish. This role focuses on two core outcomes: providing an exceptional, empathetic experience for customers during high-stakes situations, and decisively removing bad actors when appropriate to keep our platform safe.
WHAT YOU’LL DO
- Investigate safety incidents end-to-end and deliver timely, customer-focused resolutions.
- Accurately classify incidents, assess severity, and make fair, well-reasoned deactivation decisions.
- Develop and implement safety initiatives, tools, and processes that reduce incidents and strengthen platform integrity.
- Shape and uphold marketplace safety norms through clear policy development/recommendations.
- Partner cross-functionally with Support, Product, Legal, and other teams to drive safety outcomes.
- Assess safety and compliance risks; design strategies to close gaps and prevent recurrence.
- Monitor and report on safety and compliance metrics; analyze trends to recommend data-driven improvements.
- Serve as a subject-matter expert on Trust & Safety policies, providing guidance internally and externally.
- Continuously improve the incident reporting and investigation workflow.
- Communicate with customers and partners with professionalism and urgency, ensuring high-quality resolution experiences.
- Stay current on product updates to ensure accuracy and consistency across safety operations.
WHAT WE’RE LOOKING FOR
- Ability to resolve customer incidents with empathy and action
- Impeccable judgement and ability to make tough decisions
- Exceptional written and verbal communication skills - You are a skilled communicator and listener, and you’re comfortable expressing ideas and opinions to a varied audience
- Possess an “I can handle anything” mentality and extremely sound judgement in ambiguous situations
- Ability to identify potential risks and effectively diffuse situations
- Demonstrate a high degree of leadership, motivation, self-direction, and initiative to achieve the goals of the mission
- Self-motivated, able to work independently and stay organized
- Detail-oriented
- Ethical and unbiased integrity and decision-making abilities
- Preferred:
- 3+ years in a customer-facing role.
- 3–5 years of experience in Clinical practice, Trust & Safety, Risk Management, Compliance, or related fields.
- LVN or RN is a big plus
- Ability to use statistical tools and techniques to analyze, interpret, and present safety-related data.
WHY JOIN CLIPBOARD?
- We are remote-first, giving you the flexibility to work with us from many places.
- Fast-paced startup environment. Join a company that values curiosity, independence, and growth.
- A hiring process that rewards skills, not just experience. Every applicant gets a fair shot, our selection is based on real-world problem-solving ability, not just credentials.
- Opportunity to make a significant impact with our customers on both sides of the marketplace.
HIRING PROCESS
1. Application
2. Case Study
3. Case Study Interview with Head of Trust and Safety
4. Interview with our Head of Operations
5. Culture Interview (People Ops)
6. Offer
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: U.S. (Remote)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
This role is open to nurses!
ROLE OVERVIEW
The Trust & Safety Analyst protects the integrity of our platform by expertly managing incident reports from start to finish. This role focuses on two core outcomes: providing an exceptional, empathetic experience for customers during high-stakes situations, and decisively removing bad actors when appropriate to keep our platform safe.
WHAT YOU’LL DO
- Investigate safety incidents end-to-end and deliver timely, customer-focused resolutions.
- Accurately classify incidents, assess severity, and make fair, well-reasoned deactivation decisions.
- Develop and implement safety initiatives, tools, and processes that reduce incidents and strengthen platform integrity.
- Shape and uphold marketplace safety norms through clear policy development/recommendations.
- Partner cross-functionally with Support, Product, Legal, and other teams to drive safety outcomes.
- Assess safety and compliance risks; design strategies to close gaps and prevent recurrence.
- Monitor and report on safety and compliance metrics; analyze trends to recommend data-driven improvements.
- Serve as a subject-matter expert on Trust & Safety policies, providing guidance internally and externally.
- Continuously improve the incident reporting and investigation workflow.
- Communicate with customers and partners with professionalism and urgency, ensuring high-quality resolution experiences.
- Stay current on product updates to ensure accuracy and consistency across safety operations.
WHAT WE’RE LOOKING FOR
- Ability to resolve customer incidents with empathy and action
- Impeccable judgement and ability to make tough decisions
- Exceptional written and verbal communication skills - You are a skilled communicator and listener, and you’re comfortable expressing ideas and opinions to a varied audience
- Possess an “I can handle anything” mentality and extremely sound judgement in ambiguous situations
- Ability to identify potential risks and effectively diffuse situations
- Demonstrate a high degree of leadership, motivation, self-direction, and initiative to achieve the goals of the mission
- Self-motivated, able to work independently and stay organized
- Detail-oriented
- Ethical and unbiased integrity and decision-making abilities
- Preferred:
- 3+ years in a customer-facing role.
- 3–5 years of experience in Clinical practice, Trust & Safety, Risk Management, Compliance, or related fields.
- LVN or RN is a big plus
- Ability to use statistical tools and techniques to analyze, interpret, and present safety-related data.
WHY JOIN CLIPBOARD?
- We are remote-first, giving you the flexibility to work with us from many places.
- Fast-paced startup environment. Join a company that values curiosity, independence, and growth.
- A hiring process that rewards skills, not just experience. Every applicant gets a fair shot, our selection is based on real-world problem-solving ability, not just credentials.
- Opportunity to make a significant impact with our customers on both sides of the marketplace.
HIRING PROCESS
1. Application
2. Case Study
3. Case Study Interview with Head of Trust and Safety
4. Interview with our Head of Operations
5. Culture Interview (People Ops)
6. Offer
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
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 detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
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)
Hourly Pay Rate: $28/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, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Mexico)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
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.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
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 role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
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 detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, 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)
Hourly Pay Rate: $28/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, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Spain)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
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.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
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 role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
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 detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, 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)
Hourly Pay Rate: $28/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, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in English (UK)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
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.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Job Reference: #L1-CC1
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 role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Задачи:
— поиск, оценка, проведение дью-дилидженс и презентация инвестиций на ранних стадиях в области health technology.
Требования:
— опыт в венчурном капитале, финансовом моделировании и дью-дилидженсе.
Условия:
— гибридный формат работы в Лондоне.
— годовая зарплата $72,000.
Synthesize and share customer insights. Surface patterns from your cases in weekly and monthly reports, participate in Product and Engineering discussions with what you're learning, and mentor Support Team members on AI workflows, scripting, and SQL queries.
The Senior Director, Global Customer Support is a key executive leader responsible for defining and executing Prove’s worldwide support vision, strategy, and operational framework. Global Team Architecture: Build, scale, and lead a high-performing global support organization consisting of US-based engineers and offshore multi-tier support teams.
Full-Cycle Sales Process Management: Lead a comprehensive sales process that encompasses creative lead generation, discovery, product demonstrations, negotiations, and closings. Be proactive in identifying new opportunities to build the sales pipeline and achieve sales objectives.
Collibra Public Sector LLC is seeking a proven General Manager to create and execute the overall business strategy to achieve long-term profitable growth that outpaces competitors and peers.
Задачи:
— Recruit and lead a high-performing team integrating sales, consulting services, support, legal, operations, marketing, product management, and product delivery.
— Set the direction for the subsidiary to comply with government-required mandates such as CMMC.
— Identify untapped market areas and build plans to capture those opportunities.
— Operate as a true GM leading sales, services, and support aligning parent-company dependencies into a single, accountable operating rhythm.
— Optimize post-sales execution by driving consistent deployments, adoption, and renewal readiness across Public Sector accounts.
— Manage overall expense to revenue targets.
— Invest company resources wisely in new opportunities.
— Collaborate closely with the parent company to drive the Public Sector product roadmap and align support from shared services teams.
— Maintain positive evaluations from relevant government agencies such as DCSA.
Требования:
— Experience managing a complete public sector subsidiary within a larger organization.
— Experience in extended positions with increasing levels of responsibilities within enterprise software companies.
— Successful execution of business transformations and realignments.
— Bachelor's degree required; MBA preferred.
— Demonstrated ability to manage directly and delegate effectively across all areas of responsibility.
— Ability to create a culture of trust and accountability.
— Political astuteness when dealing with diverse stakeholders and conflicting demands.
— Bold risk-taking based on deep understanding of complex data.
Условия:
— Full-time remote position based on East Coast USA.
— Benefits program with flexibility to support diverse needs and life events.
— Competitive compensation, health coverage, and time off.
— Equal opportunity employer committed to diversity, equity, and inclusion.
— Accommodation available for applicants with needs upon request.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🐼 WHO WE ARE
You. Better. With Alan.
Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment.
We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system.
By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.
We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR.
Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦.
🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH
You would join the product team that builds the AI agents answering our 1M+ members' questions about their health insurance - reimbursements, coverage, claims, account changes and more - instantly and without waiting for a human.
Our AI agents already fully resolve more than 50% of members' questions. Your mission is to push that number further, increase the quality of answers and the trust members place in them, and make our agents work with the other AI agents at Alan, such as Mo our health companion.
Concretely, you will:
- Design and ship LLM-powered agents that understand a member's request, reason over their contract, claims and history, and take real actions on their behalf - building the tools, retrieval and context pipelines that give them the right information at the right moment
- Make our agents interoperate with other AI agents across Alan, such as Mo: handing off conversations, sharing context and calling each other's capabilities, so members get one seamless experience
- Bring automated resolution to new channels, starting with AI phone support: real-time voice conversations with the same quality bar as written ones
- Own evaluation: build datasets, automated evals and quality monitoring so we know an agent is right before members see it
- Measure and improve resolution rate, answer quality and member satisfaction in production, iterating fast on prompts, models and architecture
- Work hand in hand with care experts and product to identify the next topics the AI can fully resolve
⚡ WHY THIS ROLE IS SPECIAL
- Direct Impact: Every point of automated resolution means members get help instantly, when they need it the most - and directly drives Alan's scaling, growth and profitability.
- Applied AI at scale: You won't build demos. You'll ship AI agents that handle hundreds of thousands of real conversations per month in a regulated, high-stakes domain, where accuracy truly matters.
- Frontier problems: Agentic workflows, tool use, evaluation, safety and guardrails, cost and latency trade-offs - you'll tackle the hardest open questions in production LLM systems.
- Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access.
🔍 WHAT WE'RE LOOKING FOR
Technical Requirements:
- 5+ years building scalable software systems
- Strong backend experience (Python is a plus)
- Hands-on experience building products with LLMs (agents, tool calling, RAG, prompt engineering, evaluation) - ideally shipped to production
- An evaluation mindset: you know how to measure whether an AI system is actually good, and how to make it better
What we value:
- You love turning complex problems into elegant solutions
- You care about the "why" behind what you build, not just the "how"
- You stay on top of a fast-moving AI landscape and are pragmatic about what really works
- Humble and still willing to grow (no matter your seniority)
Mission Alignment:
- Healthcare technology excites you
- You understand that insurance isn't just about money - it's about access to care
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.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !
🌍 HOW WE WORK
Location: You must be legally eligible to work in France, Belgium or Spain.
Remote work: We offer remote work flexibility, but we value in-person collaboration.
Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life!
🎯 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 and Career pages, as well as our Medium, blog and Glassdoor pages for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: Philippines
🌍 Remote | UTC+8 | Core collaboration hours: 12:00–6:00 PM Manila Time
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from top-tier investors.
Here, you get real ownership from day one, high standards, and direct communication. You’ll work alongside a team that combines global fintech experience with deep Philippine market knowledge.
If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.
Southeast Asia’s fintech moment starts here.
About the role:
You’ll build the analytical foundation for client data in Salmon’s Origination domain, keeping customer records accurate and compliant and improving how we verify and onboard customers.
What you’ll do:
- Work at the intersection of product, engineering, operations, and compliance, where client data quality directly affects onboarding, regulatory reporting, and trust in the platform
- Trace how client information moves between the mobile app and back-office systems, and where it breaks along the way
- Turn operational and regulatory requirements into scalable data quality frameworks, not one-off reports
What you’ll own:
- Build and maintain dashboards and alerts that track client data freshness, completeness, validity, and consistency
- Map regulatory requirements to specific client data fields and keep that mapping current
- Analyze CDD data and flows, and benchmark them against regulations and market practice
- Define the data requirements and rules behind CDD process improvements
- Own onboarding funnel dashboards, drop-off analysis, and SQL reporting
What makes you a strong fit:
- 1+ years of experience in data analytics
- Strong SQL skills: you can write, debug, and optimize queries independently
- Experience with BI tools (Tableau, Metabase, or similar) and building dashboards
- Experience with funnel or product analytics
- Able to communicate findings clearly to non-technical stakeholders
What we offer:
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8)
- Company-provided tools and equipment
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: Kazakhstan
Workplace: Remote
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
ABOUT THE ROLE
You'll turn the deposits portfolio into clear analytics that shape how Salmon grows and protects its savings products across the region.
WHAT YOU'LL DO
- Work directly on the deposits product, close to the people who build and run it, with a real say in what gets measured and why
- Take a business question and run it end to end yourself — pull the data, analyse it, and land on a recommendation
- Handle work that ranges from recurring portfolio reporting to ad-hoc research, segmentation, and unit economics
WHAT YOU'LL OWN
- Build reporting and analytics on the deposits portfolio — volumes, structure, and dynamics over time
- Define the product metric tree, funnels, and retention analysis
- Monitor liquidity and concentration across the portfolio
- Forecast depositor churn and surface the drivers behind it
- Run ad-hoc research, customer segmentation, and unit-economics analysis
- Translate findings into clear recommendations for the product team
WHAT MAKES YOU A STRONG FIT
- SQL in practice: window functions, CTEs, and complex joins
- Solid grounding in statistics and the ability to run an investigation end to end, from question to conclusion
- English at B1 or above for written communication, documentation, and calls
- Analytical maturity that outweighs years on paper
NICE TO HAVE
- Databricks or Spark SQL
- dbt
- Python
- BI dashboards (Tableau)
- Experience in fintech or banking
WHAT WE OFFER:
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Remote-first role, with collaboration hours from 10:00 Manila time (UTC+8)
- Company-provided tools and equipment
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We are seeking an experienced Global Payroll Analyst to support accurate, timely, and compliant payroll operations across our global workforce. Based in India and reporting to a manager in the United States, this role will have a primary focus on processing U.S. payroll in Workday while also supporting India payroll, employees engaged through Employer of Record (EOR) and Professional Employer Organization (PEO) arrangements, and payroll activities in other countries.
The ideal candidate is a hands-on payroll professional who can move comfortably between payroll processing, audits, vendor coordination, reconciliations, and employee support. This position requires a high degree of accuracy, sound judgment, strong follow-through, and the ability to work effectively across time zones and cultures. The work schedule will include regular overlap with U.S. business hours, either Pacific or Eastern time, as business needs require.
What You’ll Do
Process multi-state U.S. payroll for exempt and non-exempt employees using Workday Payroll, including regular wages, bonuses, commissions, equity transactions, leaves, and final payments.
Perform end-to-end payroll activities, including reviewing inputs, validating calculations, running audits, resolving discrepancies, preparing payroll registers, and supporting payroll approval and settlement.
Coordinate payroll for workers engaged through EOR and PEO providers.
Support India payroll processing and review, including payroll inputs, statutory deductions and contributions, employee changes, terminations, reconciliations, and coordination with local payroll partners.
Monitor payroll cases and ticket queues; respond to employee questions regarding pay, taxes, deductions, benefits, time off, and payroll timing with accuracy, empathy, and clear ownership through resolution.
Partner with payroll vendors and internal teams to investigate and resolve payroll issues, track open items, meet cutoffs, and ensure timely follow-through.
Support payroll accounting activities, including payroll journals, accruals, and investigation of payroll-to-general-ledger differences.
Maintain payroll documentation, calendars, checklists, standard operating procedures, and country-specific process information to support controls and cross-training.
Assist with internal and external audits, SOX controls, year-end activities, statutory reporting, and other payroll compliance requirements.
Contribute to payroll implementations, integrations, testing, process improvements, and automation initiatives across Workday and the broader global payroll environment.
Build trusted relationships with HR, HRIS, Accounting, Finance, Tax, Benefits, Equity, Legal, and external payroll partners across regions and time zones.
Skills We’re Looking For
5+ years of payroll experience, including hands-on responsibility for payroll processing, audits, reconciliations, and employee support.
3+ years of hands-on U.S. payroll processing experience using Workday Payroll and Workday Time Tracking.
Working knowledge of U.S. federal, state, and local payroll taxation and wage-and-hour requirements, including multi-state payroll.
Hands-on India payroll experience, including familiarity with common statutory payroll requirements and local payroll practices.
Experience supporting payroll through EOR and/or PEO providers across multiple countries.
Experience managing employee inquiries through a case-management or ticketing system and communicating complex payroll topics clearly.
Strong Microsoft Excel skills, including lookups, pivot tables, formulas, data validation, and reconciliation of large data sets.
Demonstrated attention to detail, problem-solving ability, and success meeting multiple payroll deadlines in a fast-paced environment.
Excellent written and verbal communication skills and the ability to collaborate effectively across time zones.
Ability to handle sensitive and confidential information with discretion and sound judgment.
Ability to work a schedule that provides regular overlap with U.S. Pacific or Eastern business hours.
Experience with ADP SmartCompliance.
Experience supporting payroll operations in additional countries or regions beyond the United States and India.
Payroll accounting experience, including journals, accruals, and general ledger reconciliation.
Experience with payroll implementations, acquisitions, integrations, user acceptance testing, or process automation.
Experience working in a SOX-controlled and high-growth global environment.
#
LI-HYBRID
#LI-DB1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, CA; Remote (US); New York, NY (HQ)
Workplace: Remote
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
- As an Account Executive | SLED at Ramp, you are a proven hunter & sales closer with track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As an early member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! This is a highly impactful individual contributor role.
- You’ll combine your knowledge of higher education and state and local government procurement with a deep understanding of Ramp’s value proposition to grow Ramp’s presence and product usage within the SLED space.
WHAT YOU’LL DO
- Drive revenue for Ramp, owning the entire sales cycle through close
- Develop strategies for closing opportunities within your assigned territory
- Develop winning sales strategies that focus on compelling value propositions.
- Liaise with, influence, and indirectly lead cross-functional partners to align on strategy and execution
- Leverage sales methodologies to uncover prospect needs and pain points
- Own sales activity and monthly revenue forecasting in Salesforce and Gong
- Collaborate with product, design, and engineering teams to incorporate customer feedback
- Routinely represent Ramp at industry conferences nationally and regionally
WHAT YOU NEED
- 5+ years of quota-carrying sales experience, with a consistent record of exceeding goals
- Proven experience in sales with a track record of closing deals within the SLED space
- Strategic thinker with a systems mindset; able to synthesize market insights, assess competition, and design scalable strategies for new verticals
- Experience in a fast-paced SaaS or GTM environment is a plus
- Strong data-driven decision-making skills and ability to create scalable sales systems
- Excellent communication, presentation, and influencing skills; capable of articulating technical, contractual, and financial value to senior stakeholders
- Proven ability to collaborate with cross-functional teams and drive process improvements
- High-energy, service-oriented leader with a strong work ethic and problem-solving mindset
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Bengaluru, Karnataka, India, APAC
Budapest
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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, Los Angeles, Washington DC, Boston
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, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
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, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
Anywhere in France, Belgium, Spain
Philippines; 🌍 Remote | UTC+8 | Core collaboration hours: 12:00–6:00 PM Manila Time; Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8)
УдалённоKazakhstan; Remote-first role, with collaboration hours from 10:00 Manila time (UTC+8)
Bengaluru, Karnataka, India, APAC
УдалённоSan Francisco, CA; Remote (US); New York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
Все вакансии в одном месте — страница 20 · Job Hunters
