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Job Description About Leap At Leap, we believe the future of retail is omnichannel and the next generation of brands belong in neighborhoods, not just on screens. Today, the Leap platform powers retail across over 100 stores for 50 brands with ambitions of scaling to thousands of stores and hundreds of brands. We don’t just operate stores, we bring brands to life - with built in advantages powered by data, systems and scale. We solve the challenging complexities of retail, ensuring that every store we launch and operate is high-performing and every shopper always feels welcomed. While our platform provides the data and infrastructure across our 100+ stores, our people are the key to our success. We are looking for smart, energized individuals who are ready to act as owners and help us build our platform. So, come take this leap with us and help us rewrite the future of retail. Location This is a hybrid role based in Los Angeles, with a minimum of 3 in-store days per week. Annual Pay Range $110,000–$130,000, based on experience About the Role This is not a multi-unit manager role with a fancier title. This is an opportunity to own a portfolio of brands and stores end-to-end, driving performance, deepening partnerships, and developing the people who make it all work. As a Retail Success Manager, you'll be the connective tissue between Leap's operations and the brand executives who trust us with their physical retail presence. You'll toggle between coaching a Store Manager on the floor on a Tuesday and leading a strategic brand review with a founder on Wednesday. You'll know the P&L as well as you know your team. Why This Role • Ownership: You'll run a real portfolio: multiple brands, stores, and the teams who make them successful. The results you drive are visible and yours., • Impact: High-stakes exposure to the most exciting consumer brands in the market, with a seat at the table on strategy and execution., • Scale: Operate at the intersection of retail operations, brand partnership, and team leadership in one of the fastest-growing companies in the space., • Growth: A compelling NYC leadership role for those who want to operate at a high level and build something meaningful. What You'll Do • Run the Portfolio Own performance across a portfolio of brands and stores; analyzing data, identifying gaps, and building actionable plans that consistently hit sales, remittance, and profitability targets., • Develop the Team Coach and develop Store Managers with a focus on sales, customer experience, and retention. Own the full talent pipeline: recruiting, hiring, onboarding, and ongoing development., • Drive Brand Success Serve as the primary relationship owner for brand executives, translating performance data into insights, aligning on strategy, and leading renewal and expansion conversations alongside the Growth team., • Operate Cross-Functionally Align internal teams (marketing, merchandising, finance, operations) around what brands need and what stores are seeing. Be the voice that connects the floor to the boardroom.What Success Looks Like, • Store-level financial, operational, and experience KPIs consistently achieved across your portfolio, • High employee retention, engagement, and a healthy hiring pipeline, • Strong Brand NPS. Brand partners renew, expand, and advocate for Leap, • You're the person brands and internal teams trust to get things done Position Requirements • Based in Los Angeles; hybrid role with a minimum of 3 in-store days per week, • 6+ years of progressive retail leadership experience, with 2+ years in multi-unit management across a minimum of 5 locations, • Demonstrated success leading remote, multi-store teams to drive client experience, operational excellence, and business performance, • Strong relationship-building skills across internal teams, store staff, and brand partners, • Ability to travel regularly within NYC and up to twice annually out of state, • Must be 18+ years of age, • Comfortable with active, on-floor responsibilities, including extended standing/walking and lifting up to 50 lbs or using ladders as needed Leap offers a competitive total rewards package, which includes: • Unlimited PTO (blackout periods apply), • Bonus Eligible, • Healthcare benefits (medical, dental, vision), • Flexible time off (paid company holidays, unlimited paid time off, sick leave, parental leave), • Access to company perks (commuter benefits, 401K, paid sabbatical, employee discounts at Leap stores, employee referral bonus, telecom reimbursement), • Employee Assistance Program, • Employee discount + wardrobe allotment for participating Leap brands However you identify, whatever your path to get here; Leap celebrates diversity and is committed to maintaining a safe, rewarding and inclusive environment where Leapers thrive individually and as a team. In order to achieve our mission, building the world's largest network of branded retail stores – powered by data, systems and scale; we need to work hard to foster a diverse community to support the brands and customers we serve. These aren't just words, this is who we are. We know that our differences are what make our organization special and are paramount to our culture. Your age, skin color, beliefs, sexual orientation, nationality, disability, parental status, vet status, gender identity are valued. Powered by JazzHR kCqChWJdjk

Job DescriptionAbout VidsyVidsy is a global creative platform transforming how the world’s biggest brands create video advertising across paid social. With teams across NYC, LA, Toronto, and London, we partner with global advertisers like L’Oréal, Amazon and PepsiCo enabling them to produce creator and AI powered video advertising at scale. The Opportunity: Why This Role? • The Focus: This is not a "maintenance" account management role. This is an Enterprise Growth position., • The Portfolio: You will be the commercial architect for 2-7 of our high potential enterprise accounts., • The Support: You aren't flying solo. You are backed by a world-class team of Creative Strategists and Client Solutions Managers who handle the "heavy lifting" of delivery, leaving you free to focus on high-level commercial negotiation and global expansion., • The Stakes: You will be navigating complex, high value Business Plans, and moving clients from early stage growth phases, to long term, meaningful partnerships and solutions.What You’ll Be Doing (The Outcomes), • Own the Commercial Strategy: Develop and execute complex growth plans for a portfolio of Fortune 500 brands., • Master Discovery & Education: Use a "Challenger" mindset to educate senior stakeholders (CMO, VPs, Head's of) how to solve their creative bottlenecks using Vidsy’s technology., • Expansion & Closing: Identify new departments, regions, and product opportunities within your accounts. You own the renewals and the upsells, and scale your accounts at pace.Who You Are (The Profile), • The Closer: You have 5+ years of experience in Enterprise Sales or high-growth MarTech/AdTech. You don’t just "manage" accounts; you grow them., • The Strategist: You have a track record of closing $250k+ deals and navigating the procurement and legal hurdles of global organizations., • The Expert: You understand the digital advertising ecosystem (TikTok, Meta, Google) and can speak fluently about media performance and creative ROI., • The Self-Starter: You thrive in "Virtual-First" environments and are motivated by uncapped commission and delivering solutions that genuinely work for your clients.How We Hire, • Intro Call (30 min): Meet the Talent Team to discuss your experience and Vidsy’s vision., • Commercial Interview (45 min): Deep dive into your sales methodology with our Commercial Leaders., • The Workshop (90 min): Show us how you think. Present a task response demoing your experience and commercial traits., • Final Coffee: Meet the team, ask hard questions, and ensure we’re the right fit for your career.Compensation & Perks\uD83D\uDCB0 Competitive Salary: $130,000–$180,000 USD (based on experience).\uD83D\uDCB8 Uncapped Commission: 50-100% of base depending on performance.\uD83D\uDCE5 401k: Planning for the future. \uD83E\uDE7A Private Healthcare: Comprehensive coverage to keep you feeling your best.\uD83C\uDFDD Generous Time Off: 25 days PTO plus Federal Holidays\uD83D\uDCBB Home Setup: We’ll equip your home office from day one - or give you a budget to offset & build your ideal setup.\uD83D\uDE0C Flexible Hybrid Approach: Work your way with our virtual-first hybrid approach.\uD83C\uDF0D Remote Flexibility: Work away from your hub for up to 4 weeks of the year.\uD83D\uDE07 Volunteer Day: Get a paid day off annually to support a cause you care about.&hearts️ Wellbeing Focus: Access our wellness programs and Employee Assistance Program.\uD83C\uDF0D Eco Impact: Your carbon footprint offset through our Ecologi partnership.Hybrid ‘Virtual-First’ Work SetupVidsy embraces a hybrid ‘virtual-first’ approach across all our hubs. We require all new team members to be based locally to their regional hub from day one, but offer the flexibility to access office space as needed, or whenever it best supports your productivity and collaboration. The balance between in-office and remote work will vary depending on your team, role, and personal preferences. Diversity at VidsyWe’re committed to building a representative, inclusive, and super-friendly team because diverse experiences, perspectives, and backgrounds lead to better workplaces and better products. At Vidsy, we welcome everyone and do not discriminate based on race, colour, religion, gender, national origin, age, sexual orientation, marital status, disability, or any other protected characteristic. For more information on reasonable accommodations in the interview process please see THIS LINK We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Swedish, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Finnish, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Russian, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Turkish, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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/hourImportant: 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. 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 German, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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.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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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.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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Invoca: Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. About the Team: Our Revenue Systems, Data & AI team is responsible for building and powering the infrastructure of our revenue engine. We own the GTM tech stack, data architecture, and automation layer that enables scalable, efficient execution across Sales, Marketing, and Customer Success. As we continue to evolve in an AI-driven landscape, we are focused on embedding intelligence directly into our workflows to drive better decisions, improve productivity, and accelerate revenue outcomes. About the Role: We're seeking a highly technical, innovative, and forward-thinking Sr. GTM AI Architect to lead the design and deployment of AI-driven capabilities across our GTM tech stack. This is a senior individual contributor role responsible for embedding AI directly into revenue workflows to enable smarter decision-making, automate manual processes, and improve execution across Sales, Marketing, and Customer Success. You'll act as both a builder and operator, translating a deep understanding of GTM workflows into practical AI systems. While we already leverage AI across our systems, this role was created to go deeper — providing dedicated focus to scale those efforts and drive adoption of the highest-impact, field-facing use cases. This role reports to the Senior Director, Revenue Systems, Data & AI within the Revenue Operations, Strategy & Enablement team, with close partnership across the GTM organization. You Will: • GTM AI Strategy & Use Case Development — Identify and prioritize high-impact AI use cases across Marketing, Sales, and Customer Success in partnership with Revenue Operations, aligning initiatives with business priorities to improve field productivity, conversion, and customer outcomes, • AI Workflow Design & Deployment — Design and implement AI-driven workflows and agentic solutions across the GTM tech stack, embedding AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement — practical, scalable, and built for field adoption, • Automation & Intelligence Layer — Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack, leveraging LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows, • Systems & Architecture Partnership — Integrate AI into platform design in close collaboration with Systems & Architecture, ensuring alignment with data models, governance standards, and long-term architecture, • Data & Signal Utilization — Leverage GTM data to power AI-driven insights and workflows, ensuring high-quality inputs and outputs for confident decision-making, • Continuous Innovation & Experimentation — Stay ahead of AI and GTM technology trends by rapidly evaluating, testing, and scaling new tools and approaches.You Have:, • 8–12+ years of experience across RevOps, GTM systems, software engineering, or technical roles in B2B SaaS, • Strong hands-on experience with AI/ML, LLMs, and automation frameworks, • Deep experience with Salesforce and modern GTM tech stacks, • Strong technical skills (e.g., Python, APIs, integrations, data workflows), • Proven ability to design and deploy AI-driven solutions in business environments, • Strong understanding of GTM processes and revenue operations, • Ability to translate business problems into scalable technical solutions, • Experience working cross-functionally with business and technical stakeholders, • Highly autonomous, self-directed, and comfortable operating as a senior individual contributor, • Curiosity and passion for applying AI to real-world business problems 📍 Location: This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits, & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program – Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base - Target Base Salary $153,000-$187,000 / plus bonus potentialDEI Statement: We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace.

Job DescriptionAbout Us Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up. Our mission is to improve people's health by making it easy to live a healthy lifestyle. Nourish is the country's largest dietitian-led metabolic health clinic. We're an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems. In 2026 we raised a $100M Series C, bringing total funding to $215M. The round was led by Menlo Ventures, with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners. Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast. This is not a job for everyone. We hold an extremely high bar because we believe talent density is our biggest competitive advantage. We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego. Our work is important, but we are not self-important. We do this because we're solving one of the hardest problems in the world, and the problem matters. If that's you, we disproportionately reward it. About the Role: At Nourish, we believe the quality of a product is a massive differentiator that separates great products and services from average ones. As the company scales rapidly and builds new products, we are looking for a Staff Product Designer who can raise the bar and help integrate our new offerings in a seamless way. In this role, you'll own projects that will set the strategic foundation for how Nourish's product offerings expand and see the projects through from conception to execution and implementation. You'll use your expertise in design, user psychology, and data-driven decision-making to create intuitive experiences and raise the bar for craft. This person will join our small design team and report directly to our Head of Design. We are a team that cares about our work, but we try not to take ourselves too seriously. We believe deeply that empathy, trust, and collaboration are what drive the best outcomes and that work can feel like play! This role is full-time and can be based in either NYC (hybrid, in-office 3-4 days per week) or SF (remote until we open our SF office). Check out EPD at Nourish and Design Values to learn more about our team! Key Responsibilities: • Establish best practices for information architecture. As Nourish has expanded our product offerings, ensuring that the user experience stays consistent has become more challenging. You will be driving forward the execution and vision of what it looks like to build an integrated preventative health product offering., • Design best-in-class experiences for all our users. Your work will not be limited to one area of our platform but instead will span our patient, provider, and growth products. You will iterate on existing features, create net new features, and continue to test both., • Help drive qualitative user research. You'll build prototypes, conduct interviews, and create surveys to test hypotheses about designs and products., • Grow and maintain our design system. You'll help the team operate efficiently and keep our quality consistent by helping manage our component library., • Help build a design culture at Nourish. We want to be a company that is known for quality and craft, and is willing to go the extra mile to make our patient and provider experiences excellent. No detail is too small, and no journey is under-considered.We'd love to hear from you if:, • You have 10+ years experience designing compelling digital products., • You are deeply customer- and craft-oriented. You care about understanding real user needs and translating them into clear, thoughtful product experiences. You have strong design fundamentals and know how to apply them in messy, real-world product environments., • You are a builder. You like taking ideas from 0 to 1 and then improving them relentlessly. Shipping matters to you. You're comfortable iterating quickly and learning as you go., • You take ownership and push work forward. This is not an environment where designers wait for perfect briefs or fully defined problems. You're comfortable working through ambiguity, forming strong opinions, and helping drive product decisions alongside product and engineering., • You communicate with a high signal‑to‑noise ratio. We value clear thinking and efficient communication. Whether written or verbal, you can explain ideas quickly and directly. You don't rely on long explanations or filler to make a point., • You do your own stunts. No task is beneath you if it helps move the product forward. You might run user interviews, refine product copy, improve a flow, help prepare a deck, or jump into a messy problem that doesn't have an obvious owner., • You're comfortable in a demanding environment. We move quickly and hold a high bar for quality and accountability. There is little room to coast here. People who thrive on this team tend to have grit, curiosity, and a pragmatic, roll‑up‑your‑sleeves attitude., • You understand that meaningful work sometimes requires extra effort. Startups have moments where the work extends beyond a tidy 9–5 schedule. If you're the kind of person who cares deeply about the outcome and is willing to lean in when the work demands it, you'll likely feel at home here., • You're motivated by impact. The problems we're working on—nutrition, chronic disease, and preventative healthcare—are meaningful and complex. The right person for this role is energized by the opportunity to help build something that materially improves people's lives.More Information The Nourish Bar Our Values How We Work Comp Philosophy Benefits

Job Description About Invoca Invoca is the leading AI-native platform that enables marketing, sales, customer experience, and contact center teams to understand and act on the information within every customer interaction. By revealing intent across voice, SMS, and digital channels, Invoca helps enterprises drive better customer experiences, increase revenue, and operate with confidence at scale. We are a fast-growing company with a strong product culture, deep technical ambition, and a commitment to building AI systems that are reliable, transparent, and outcome-driven. Own the Layer That Makes AI Work in Production — and the Intelligence Products Built on Top of It In AI, the model is a commodity. The context is the moat. Invoca sits on one of the richest datasets in enterprise SaaS — millions of revenue-driving customer conversations across industries, channels, and buying journeys. The Data Platform team turns that data into the context layer that powers our AI agents and into intelligence products that customers and internal teams use to make better decisions. This is a dual mandate: build the foundation that makes every AI product at Invoca smarter, and build the intelligence products — signals, scores, and insights — that create direct, measurable value for paying customers. Every AI product Invoca ships runs on what this team builds. This is a rare opportunity to own infrastructure that determines whether AI agents work in the real world, and the intelligence products that turn that data into revenue. About the Role As Senior Product Manager, Data Platform & Intelligence, you will own the roadmap and execution for Invoca's data and context layer and the intelligence products that sit on top of it. This is not a single-feature role. You'll be working across a technically complex, dependency-heavy domain — owning the pipelines that feed AI agents, the scores and signals that customers pay for, and the data applications that teams across Invoca depend on. The most important decisions in this role live at the boundary between data infrastructure and product experience. You will operate as a senior individual contributor reporting to the VP of Product, with broad influence across AI engineering, data science, and product teams — and a direct line to new revenue through the intelligence products you define and launch. You Will • Own the end-to-end roadmap for Invoca's data platform and intelligence products, • Define and launch intelligence products — signals, scores, and insights — that create measurable value for both internal teams and paying customers, • Define how context is structured, staged, and delivered to AI agents across voice, SMS, and web — ensuring every interaction is grounded in the right data at the right time, • Own the intelligence and data products that other teams and customers use to build unique experiences on top of Invoca data, • Drive cross-team execution across teams working on the agentic platform, conversational AI products on voice and SMS, signals, and insights — managing dependencies, driving prioritization, and keeping work unblocked, • Build data applications and agents on our data lake that power product use cases across the business — from agent performance measurement to customer outcome analytics, • Partner with data engineers and ML teams to make principled tradeoffs across data freshness, coverage, latency, and cost, • Define success metrics for data products and continuously measure impact through adoption, coverage, agent performance, and quality signals, • Evaluate build vs. buy decisions for data infrastructure and guide vendor integrations behind stable, well-defined contracts, • Stay current on advancements in retrieval, grounding, and context injection patterns — translating signal into pragmatic product decisions You Have • 5+ years of product management experience, with meaningful time in data platforms, AI infrastructure, analytics products, or intelligence products, • Technical fluency sufficient to partner closely with data engineers and AI teams — comfortable in architecture discussions, familiar with data modeling, pipeline design, and schema evolution, • Hands-on experience working with data lake or data warehouse platforms (e.g., Snowflake, BigQuery, Redshift, or similar) — you understand how data products are built, governed, and consumed at scale, • Experience building intelligence products — signals, scores, insights, or recommendations — that both internal teams and external customers depended on, • Familiarity with evaluation approaches for data-driven AI systems — you have a point of view on how to know whether a context or signal pipeline is actually working, • Experience in enterprise SaaS or compliance-heavy domains where data governance, auditability, and multi-tenant isolation are core design constraints, not afterthoughts, • Strong execution ownership — you drive prioritization, own cross-team dependencies, and unblock your team without waiting to be asked, • Ability to move fast with imperfect information — this is a fast-moving AI environment; the bar is calibrated judgment, not perfect context, • Clear communicator who can translate complex data and AI concepts for both engineering and business stakeholders without losing precision on either side, • Track record of making principled tradeoffs across data quality, latency, cost, and reliability in complex systems 📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required. Please note that we are unable to provide initial visa sponsorship for this position. Salary, Benefits & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - Salary Range $139,000 - $200,000 plus bonus + equity Diversity, Equity & Inclusion Invoca is committed to building an inclusive culture that values diverse perspectives and experiences. We are proud to be an equal opportunity employer and do not discriminate based on race, color, ancestry, religion, gender identity, sexual orientation, age, or disability. #LI-Remote

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Italian, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Polish, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 sessionsWhat We're Looking For, • Native-level fluency in Croatian, • 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 plusBenefits, • 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 DescriptionOverview 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, • 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/hourImportant: 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. 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 Hungarian, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Dutch, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Czech, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Arabic, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 sessionsWhat We're Looking For, • Native-level fluency in Croatian, • 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 plusBenefits, • 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 Description ORANGE COUNTRY / L.A. METRO - With more than 100 ecommerce searches each year, EcommerceRecruiter.com is the leading contingency-based recruiting firm serving the NRF, IR-1000, and B2B communities. To opt-in to our popular "Ecommerce Job of the Day" email, click here. One of the coolest ecommerce jobs around! HARRY'S COMMENTS: We are working with a profitable, growing, PE-backed skincare brand in its search for a Director of Ecommerce based in always-sunny Orange County / L.A. Metro. Founded by a world renowned dermatologist and pioneer in medical grade skin care, the client has established itself as a leader in the doctor-dispensed cosmeceutical market. The firm has 300 employees and operates with the scientific credibility that only comes from real medical expertise combined with the commercial sophistication of one of the world's best private equity investors. The client's unique value prop lies in its two-channel approach: It maintains professional distribution through more than 4000 authorized healthcare providers while also building a robust DTC ecom business. This hybrid model offers two self-reinforcing advantages: 1./ It provides credibility through professional endorsement, while 2./ connecting online sales to physician referrals. This, in turn, drives higher LTVs through the trust associated with medical recommendations. Not surprisingly, my client's product portfolio centers on medical-grade formulations that command premium AOVs thanks to the clinical backing that support their efficacy claims. Its products have demonstrated clinical results, enabling the company to maintain strong margins while commanding higher price points than traditional beauty products. Operationally, the brand is growing like a weed: A recent platform migration resulted in an increase in conversion rates and a decrease in bounce rates. Yet this is a complicated business, which accounts for the the emphasis on Salesforce Commerce Cloud in this job spec. More on that below. About the Industry The physician-dispensed cosmeceuticals market is one of the most attractive segments in thee beauty industry, combining the growth dynamics of skincare with the credibility and pricing power of medical authority. The global market is projected to reach $13.93 billion by 2030, growing at nearly a 8.8% CAGR, driven by increasing consumer demand for science-backed, clinically proven skincare products. This growth is occurring within the context of a massive $716 billion global beauty ecom market ... But unlike traditional beauty products, medical-grade skincare benefits from longer customer consideration periods, higher AOVs, better customer retention rates, and reduced price sensitivity. The competitive landscape includes established dermatologist-dispensed brands and emerging AI-powered personalization platforms. Broadly speaking, the industry is experiencing consolidation pressure as major beauty conglomerates like L'Oréal, Unilever, and P&G aggressively expand into medical-grade skincare through acquisitions and new product development. Several trends are reshaping the industry landscape: Customer acquisition costs in beauty ecommerce are increasing, with some DTC brands reporting 30%+ increases in paid media costs, making a well-run physician referral channel increasingly valuable. Meanwhile, the expansion of telemedicine creates new opportunities to blend physician expertise with DTC sales, while regulatory scrutiny of cosmeceuticals continues to intensify. Beyond that, beauty subscription models are growing as consumers seek convenient access to professional-grade products, creating recurring revenue opportunities essential for private equity valuations, while technology is becoming increasingly central to competitive differentiation. Beauty ecommerce trends emphasize AI-driven personalization and virtual diagnostic tools, areas where medical-grade companies can leverage their clinical foundation to develop sophisticated skin analysis capabilities that cosmetic brands cannot replicate. About the Role As my client's new Director of Ecommerce, you'll manage all the complexity that goes with scaling a $50 million P&L in a regulated, physician-dispensed market under private equity ownership. This role requires ... • an exceptional blend of technical platform expertise,, • strategic business acumen, and, • industry-specific knowledge that, frankly, few execs possess. Like I said: Salesforce Commerce Cloud mastery is essential, given that my client's business involves medical-grade skincare requiring sophisticated regulatory compliance, professional channel integration, and complex product configurations that consumer platforms cannot handle. Their $40M-$50M ecom P&L requirement means you'll need a proven ability to manage complex unit economics in competitive beauty markets while meeting institutional investor reporting standards. Sharpen your pencils! Moreover, you'll need to understand the mechanics of premium brand storytelling and know how to translate things like "clinical efficacy" into plain, simple language your customers understand. There's a fine line between maintaining medical credibility and appealing to your target customer's wants, needs, and desires. Don't forget: There are FDA restrictions on therapeutic claims, so you can't just "say anything" in an effort to build trust through scientific validation and professional endorsements. In this role, we are looking for someone with proven experience with conversion rate optimization, omnichannel analytics, and subscription based revenue models. Cross-functional leadership experience is a must, as is a working knowledge of Salesforce Commerce Cloud. Given that you'll have some involvement with private equity operating partners, financial literacy is essential. About the Compensation This is an on-site role, and the client offers relocation. This is not remote, so don't ask about it. (Sorry.) You can plan on this role maxing out at $165,000 base. Depending on where you live, that's a lot of money. If you live in New York, that will be like getting a (very) nice raise. If you live in Atlanta, let's just say you won't be taking this job for the money. You'll be taking it purely because it's an amazing gig. Which it totally is. Just to reinforce the point: This afternoon, I spent an hour on the phone with this role's hiring manager (your new boss), going back-and-forth about the actual cities where I should be recruiting for this position. Certainly New York is one of them. San Francisco is another. Seattle is another. Take a look at the following cost of living numbers I pulled up off of Perplexity.CitySingle PersonFamily of 4Rent (1BR, city center)Rent (2BR)Notable CommentaryNYC$6,389$10,338Not specifiedNot specifiedHighest cost for both singles & familiesSan Francisco$5,897$8,833~$4,869Not specifiedMost expensive US city (housing)Seattle$4,646$7,663~$2,252Not specified3rd most expensive in the US; high housingLos Angeles$4,530$7,417~$2,000~$2,600High cost, but lower than NYC/SF/SeattleAtlanta$3,318$5,861~$1,629~$1,929Considerably more affordableChicago~$2,180Not specified~$2,180~$2,972Moderate to high, but below coastal cities What this Means It means that my target A-player for this position is a rising star who, up to this point in their career, has been entrusted with a lot of responsibility and is looking for an opportunity to live in a sunny climate, working with a smart as hell team, while doing a very high profile job that will get her noticed by a lot of important people. You'll have a ton of opportunity for personal and professional growth, which frankly is the right reason to take any great job. But I thought I would bring this up now because it's not uncommon for me to receive a ton of applications from great candidates to think that once my client meets them, they'll pay more. In this case, that's not likely to happen. I'm just being honest. If you've made it this far in the job posting, then you're obviously intrigued. While you're thinking about it, head over to YouTube and look at some drone footage of the beaches around LA County ... How awesome is that? You could live there! And if you are a rising star in the industry, it will be affordable. But if you have a big family, maybe not so much. You won't believe how much we know about this search ... I spent a ton of time on the phone with the client teasing out exactly what you’ll need to KNOW and DO to hit the ground running in this role. Some of the things I can share with highly qualified candidates include ... • The "real" background requirements for this position, along with the top five things all resumes MUST have to be considered for the role., • The top five problems that exist due to this position being open. These are the little brush fires you will be expected to put out during your first month on the job. Every ecommerce job has these — and this one's no different., • What your average day/week will look like in this role. There's what you read in the standard ecommerce job posting ... then there's reality. We've got the reality., • The leading and lagging KPIs that will determine your success in this role. In a nutshell: How you'll keep score., • The major projects you’ll need to complete by Day 100 to be considered a home-run in this position. We’ve got the lowdown on how you can plug-and-play and drive REAL value in this ecommerce job. I have a massive amount of proprietary intel to share with qualified candidates. My industry research for this assignment exceeds 100 pages! Be sure to TEXT me, Harry Joiner, at (404) 281-2025 for this info. Or simply use the email link when you apply for the role below. Essential Duties And Responsibilities eCommerce Operations • Execute the North American eCommerce strategy aligned with broader business goals and digital objectives, • Manage the direct-to-consumer digital business, ensuring consistent growth in awareness, engagement, and revenue, • Lead initiatives that improve the customer journey from discovery through conversion and retention, • Oversee eCommerce merchandising strategy, promotions, seasonal campaigns, inventory planning, content and analytics, • Build strong partnerships with internal stakeholders (Finance, Marketing, Product Development, Supply Chain, Customer Service) to ensure North American business achieves its goals, • Manage third-party agencies, system integration partners and vendors (developers, subscription platforms, CRO tools, etc.) Digital Execution • Manage and implement an ecommerce roadmap to drive revenue, profitability, and customer satisfaction, • Launch new capabilities with a focus on loyalty, personalization, and content, • Champion the customer experience by improving UX, streamlining journeys, and delivering personalized content, • Identify and integrate emerging digital capabilities to drive differentiation and engagement Data & Analytics • Provide weekly and monthly sales reporting with defined KPIs, • Surface actionable insights using customer surveys and digital analytics, • Test and refine site experiences to improve conversion and retention rates, • Track the ROI of digital investments with clear reporting on customer growth, engagement, and eCommerce performance Performance & Optimization • Use data and testing to identify friction points in the customer journey and prioritize improvements, • Collaborate with Finance to develop budget scenarios tied to sales goals and marketing investments, • Work closely with Planning teams to align inventory with demand, optimize assortments, and ensure product availability, • Provide regular reporting to senior leadership on DTC performance Qualifications • A Bachelor’s degree is required, preferably in a Marketing, Communication or related field; advanced degree preferred., • A minimum of 12 years of experience in eCommerce or digital marketing, preferably in beauty, skincare, or CPG is required, with a minimum of five years in a management role with DTC responsibility., • Proven success scaling an eCommerce business and achieving revenue targets., • Proficiency in Salesforce Commerce Cloud and analytics tools (Google Analytics, etc.)., • Experience with CRM/email marketing (Klaviyo), conversion rate optimization (CRO), and A/B testing platforms., • Strong understanding of digital advertising, SEO, and retention strategies., • Exceptional project management and communication skills., • Passion for skincare and understanding of the beauty consumer a plus. Additional Skills And Abilities Include • Adaptive, responsive individual able to thrive in an extremely fast-paced and dynamic work environment; handles pressures well; adjusts plans to meet changing needs., • A team player who works well with a variety of field-based sales groups, cross-functional teams, brand leadership, global and clinical/retail partners., • Excellent organizational, time and project management skills., • Stay updated with market trends and competitor activities., • Excellent communication and negotiation abilities., • Problem-solving and decision-making capabilities.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Greek, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 Danish, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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/hourImportant: 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. 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 Portuguese (Portugal), • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. 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 sessionsWhat We're Looking For, • Native-level fluency in Croatian, • 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 plusBenefits, • 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 DescriptionOverview 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, • 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/hourImportant: 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. 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 Croatian, • 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 locationWhy 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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOverview 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, • 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: $26 - $28/hourImportant: 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. 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 French, • 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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.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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level 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 requiredBenefits, • 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description 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: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, • 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, • Contract Duration: 1-year contract with possibility of extensionImportant: 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: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. 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 wayWhat We’re Looking For, • Native-level English speaker from an EU10 country, the UK, Canada, or Australia and a university degree (Bachelor’s or higher)., • 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 requiredBenefits, • 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.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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Invoca Invoca is the leading AI-powered conversation intelligence platform. We empower marketing, sales, customer experience, and contact center teams to unlock the intent and insights within every customer interaction – driving better customer experiences, increased revenue, and improved operational efficiency. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. We operate by five Operating Principles: • Customers First, Anchored in "5 Whys" – We keep customers at the center, dig past the initial ask to the root cause, and play the long game to help them grow and stay., • "Invoca Nice" = Direct + Kind – We say the hard thing directly and with care, receive feedback with curiosity, and embrace productive, respectful debate., • Act Like an Owner – We own our outcomes, operate with high agency and a bias for action, and put impact ahead of politics., • Raise the Bar for Everyone – We redesign what slows us down, recognize those who raise standards, and refuse to settle for mediocre work., • Bring the Intensity – We move at "AI speed," stay responsive and reliable, finish what we start, and meet the moment when it matters. If these principles resonate with you, we'd love for you to join us – we are building something special. About the Team Our Customer Success team is the engine behind long-term customer value at Invoca. We partner closely with our Healthcare customers – from multi-location provider groups and health systems to digital health and patient-acquisition marketers – to turn conversation intelligence into measurable business outcomes. Working hand-in-hand with Sales, Product, Marketing, and Support, the team drives adoption, retention, and expansion while serving as the voice of the customer inside Invoca. We win as a team: we share playbooks, celebrate each other's wins, and hold a high bar for the impact we deliver to the people and organizations we serve. About the Role We are looking for an experienced Customer Success Manager to advise and support a portfolio of customers within the Healthcare segment, managing $3–$5M in revenue. Reporting to the Vice President of Customer Success, you will leverage both human and digital touchpoints to guide customers throughout their lifecycle – driving adoption, expansion, and retention. This is a highly strategic, relationship-driven role where you will act as a trusted advisor, helping healthcare organizations maximize their investment in Invoca's AI-powered platform to improve patient acquisition, patient experience, and contact center performance. You will use customer data, health indicators, and automation to deliver personalized, proactive engagement that drives business impact, and you'll collaborate with cross-functional teams to ensure customers get the right resources at the right time – always with appropriate care for the compliance-sensitive nature of healthcare data. Our goal is to empower customers with actionable insights, making their organizations more successful because of Invoca. You Will • Own and manage a portfolio of Healthcare customers, deeply understanding their business goals, patient-acquisition strategies, and operational challenges to drive engagement and success., • Develop and execute strategic account plans that maximize adoption, retention, and expansion across each account., • Use data-driven insights and automation tools (e.g., Gainsight, Salesforce) to deliver the right message to the right customer at the right moment., • Apply AI in your day-to-day workflow – using AI-assisted tools to analyze account health, surface risks and opportunities, prepare business reviews, and personalize customer communications at scale – so you spend more time on high-value strategic work., • Confidently articulate the value of Invoca's AI-powered conversation intelligence to customers, translating platform capabilities into outcomes that matter to healthcare marketers, patient-access leaders, and contact center teams., • Act as a strategic consultant, providing best practices and tailored solutions for each customer's needs, with sensitivity to healthcare regulatory and privacy considerations (e.g., HIPAA/PHI handling)., • Lead customer training, business reviews, and enablement sessions through email, calls, and scheduled meetings., • Proactively identify risks and opportunities, mobilizing internal teams (Sales, Product, Marketing, and Support) as needed., • Advocate for customers internally, providing feedback that influences product development and innovation., • Foster long-term relationships that drive high satisfaction, advocacy, and loyalty.You Have, • 4+ years of Customer Success or Account Management experience in B2B SaaS., • 3+ years working with enterprise software, preferably serving Healthcare or another regulated, compliance-sensitive industry., • Demonstrated AI fluency – you actively use AI tools in your work and can show how you apply them to be more effective, accurate, and efficient (e.g., drafting and synthesizing, analysis, research, and preparation). You're eager to keep learning as AI capabilities evolve., • Strong project management skills, with experience prioritizing competing initiatives., • The ability to consult and communicate effectively with all levels of an organization, from end users to executives., • Genuine passion for AI-driven technology and how it transforms customer engagement., • Background in digital marketing, advertising technology, or performance marketing, with an understanding of how marketers optimize customer (or patient) acquisition and engagement.Bonus Experience, • Experience working with Contact Centers and associated technologies (CCaaS, e.g., Genesys, Five9, or similar), • Familiarity with healthcare marketing or patient-access environments, and awareness of HIPAA and related privacy requirements., • Familiarity with tools such as Adobe Analytics, Google Ads, Contentful, HubSpot, FullStory, or similar., • Experience using Salesforce, Gainsight, and other SaaS platforms., • BA/BS degree preferred. 📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍 United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area Canada: Toronto (AI/ML technical roles only) Candidates must be based within ~2 hour drive of these areas. Business travel will be required, mostly to Customer sites and occasionally for internal meetings. Compensation, Benefits & Perks At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program – Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more., • Position Base Range - $100,000-$105,000/year plus bonus.DEI Statement "Our company is committed to creating a culture that is not only grounded in continuous learning, teamwork, and customer success, but is fair, equitable, and welcoming for everyone." – Gregg Johnson, CEO We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity workplace. #LI-Remote

About Anomaly Founded in 2020, Anomaly uses AI and healthcare transaction data to decode complex payer behavior and close the knowledge gap between providers and payers. Our AI engine, Smart Response, analyzes hundreds of millions of healthcare encounters in real time to detect shifting payer rules and denial patterns. By continuously adapting to payer logic, it helps providers predict denials, reverse revenue loss, and hold payers accountable. Our Products and Stack Anomaly builds a suite of machine learning and analytics products designed to uncover health insurance company payment patterns. Our products include: Detect - a web front-end product to surface newly discovered insurance payment patterns and behavior changes utilizing time-series analyses. Predict - high-throughput API for machine-learning-powered claim denial prediction with configuration and monitoring live in the web front-end. Recover - an analytics-driven product to prioritize denied accounts in order to assist our clients in denial recovery using algorithmic ranking and recommended actions that are fine-tuned towards high-dollar denial reversals. Overview As a Senior Software Engineer, you will build the tools that help healthcare providers stand their ground against insurance giants. We’re looking for a Senior Backend Engineer to build the architecture, the APIs, and the integration logic that brings our product to life. You will work on translating complex healthcare data and machine learning outputs into scalable, real-time systems that deliver clear, actionable insights to end users. You will report directly to the CTO. This role is open to fully remote, US-based candidates, with occasional travel to our NYC headquarters. Responsibilities Build integrations with healthcare and financial systems Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails Design high-throughput, low-latency systems where performance is a mission-critical requirement Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product Qualifications 5+ years of professional software engineering experience Ability to write idiomatic, testable, and maintainable code in Python, Java, or Scala A “hacker mindset” — pragmatic, curious, and solution-oriented Nice to have Experience building reliable data and ML pipelines using SQL, Spark, or Airflow Experience building and deploying online machine learning products Experience developing high-volume, low-latency APIs

• Own the architecture and evolution of Zip’s real-time money movement and payments platform, powering millions of transactions., • Lead cross-team technical direction across distributed systems while embedding AI into engineering workflows and product capabilities., • Remote-first role for US-based engineers, with optional collaboration from our NYC office. Start your adventure with Zip At Zip, engineers own systems that move real money. Join Zip’s Engineering function and put your name to solving fascinating challenges at scale in an agile, test-driven development environment. If you value good domain-driven design and enjoy delivering quality work at pace, you’ll be a great fit with the squads responsible for building cloud-native software applications that serve millions of customers and process billions of dollars in payments. We are seeking a highly experienced and technically strong Staff Engineer to lead complex, cross-domain initiatives across our platform. In this role, you will set technical direction, drive execution on ambiguous, high-impact problems, and shape the architecture of systems that are critical to our business. This is a hands-on leadership role where you will partner with engineering and product leaders, influence strategic decisions, and mentor senior engineers while raising the bar for scalability, reliability, and engineering excellence across the organization. You will also play a key role in defining and scaling how AI is used across engineering, driving measurable improvements in developer productivity, system quality, and delivery speed. Interesting problems you’ll get to solve • Design systems that ensure safe, reliable money movement at scale across distributed services., • Define and evolve platform patterns for event-driven architectures and cross-team system design., • Lead ambiguous, high-impact initiatives from concept to production across multiple teams., • Balance speed and long-term platform health in critical financial systems., • Define and standardize AI-assisted engineering patterns (e.g., code generation, testing, debugging, incident analysis) that can be adopted across teams., • Raise the bar for system reliability, performance, and developer experience across the organization., • Build systems that ensure financial correctness under failure conditions, including retries, duplication, and reconciliation scenarios., • Drive adoption of AI across teams by coaching engineers, establishing best practices, and ensuring responsible and effective usage., • Identify and deliver AI-driven efficiencies, reducing development cycle time, improving code quality, and accelerating incident resolution., • Partner with platform and tooling teams to integrate AI capabilities into the developer ecosystem (CI/CD, observability, IDEs, internal tools). What you’ll bring to the team • 12+ years of experience building and operating distributed backend systems in modern engineering environments., • Strong experience in payments, fintech, or other correctness-critical systems such as settlement, reconciliation, or transaction processing., • Proven track record of leveraging AI to improve engineering outcomes, including personal productivity and enabling team-wide adoption at scale., • Experience leading complex, cross-team initiatives and driving technical direction across multiple systems., • Deep expertise in system design, including event-driven architectures, microservices, and high-availability systems., • Hands-on engineering mindset. You stay close to implementation and can dive into code, services, and infrastructure when needed., • Strong decision-making ability. You can evaluate tradeoffs and make clear technical calls in ambiguous situations., • Experience mentoring senior engineers and raising engineering standards across teams., • Experience working with cloud platforms such as Azure or AWS, and backend technologies like C#/.NET or similar., • Experience evaluating and selecting AI tools, models, and workflows with an understanding of tradeoffs (cost, latency, accuracy, safety)., • Ability to define metrics and measure the impact of AI adoption (e.g., developer velocity, code quality, cycle time, incident reduction)., • Clear alignment with _, • Experience building and scaling systems in fintech or other highly regulated environments, such as payments, lending, banking, settlement, reconciliation, fraud, risk, or transaction processing., • Experience working in AI-forward, high-scale engineering environments where teams are building at the edge of modern cloud, distributed systems, developer productivity, or applied AI., • Hands-on experience building production-grade AI capabilities beyond prompt engineering, such as AI agents, agent orchestration frameworks, retrieval-augmented generation, model evaluation pipelines, workflow automation, or AI-powered internal platforms., • Experience architecting agentic AI systems that safely interact with internal tools, APIs, business workflows, and human-in-the-loop approval processes., • Experience defining responsible AI governance patterns, including data access controls, model/tool selection standards, evaluation frameworks, observability, cost management, auditability, and risk controls., • Experience partnering with business, product, risk, compliance, security, legal, or operations leaders to translate ambiguous strategic problems into scalable technical solutions., • Experience building AI-enabled engineering platforms that improve developer velocity, code quality, testing, debugging, incident response, observability, or release confidence., • Familiarity with modern AI/ML infrastructure, including model serving, fine-tuning, embeddings, vector search, distributed training, inference optimization, model evaluation, or experimentation platforms., • Experience with cloud-based AI/ML services and frameworks such as AWS Bedrock, SageMaker, Azure AI, OpenAI, Anthropic, Databricks, LangChain, LlamaIndex, or similar technologies., • Demonstrated ability to operate as a hands-on technical leader who can set strategy across teams, prototype emerging technologies, and raise the bar for engineering excellence. What you’ll get in return Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly. We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back. We think these are just some of the best things about being a Zipster. We will also offer you: • Flexible working culture, • Incentive programs, • Unlimited PTO, • Generous paid parental leave, • Leading family support policies, • Company-sponsored 401k match, • Learning and wellness subscription stipend, • Beautiful Union Square office with a casual dress code, • Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations. The annual base Pay Range for this position is $185,000-$210,000. This range reflects our US national compensation band (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits. If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Be a part of a team that reflects the diversity of our customers We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique. Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience. And finally…get to know us Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centered products. Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants. We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do. I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read our _ and authorize Zip to process your data subject to those terms. Zip participates in the federal government’s E-Verify program _ _ We are a proud 2025 Circle Back initiative employer and will respond to every applicant.

At Dignotion, we're building a high-performing team of digital marketing experts to drive growth for ambitious startups and global brands alike. Our partners include some of the world's leading tech platforms, and we're rapidly expanding our service capabilities. To support this growth, we're seeking a Business Development Manager to lead client acquisition and strategic partnership development. In this role, you'll identify and cultivate new business opportunities, nurture client relationships, and help shape how Dignotion's marketing services are delivered and positioned in a competitive landscape. We’re looking for an autonomous, results-driven professional with strong communication and project management skills, eager to contribute to a fast-moving and collaborative environment. This is a part-time, flexible role open to remote candidates (U.S. time zones) or those based in NYC. Key Responsibilities: • Identify, qualify, and manage inbound and outbound sales leads, • Maintain an organized pipeline using our CRM, • Develop and deliver tailored proposals and presentations, • Build and maintain strong relationships with prospective and existing clients, • Collaborate on case studies, marketing collateral, and strategic pitches, • Support Dignotion’s content, email, and social media initiatives, • Monitor and report on business development performance and insights, • Establish and grow partnerships within key industry verticals, • Proven experience in business development, sales, or account management, ideally in a digital or performance marketing context, • Strong written and spoken English; confident communicator and presenter, • Track record of generating leads and closing deals independently, • Analytical mindset, comfortable working with performance data and KPIs, • Organized, self-motivated, and deadline-oriented, • Proficiency with tools such as CRMs, email marketing platforms, video conferencing, and online communication tools, • Educational or professional background in Sales, Marketing, Business, or related fields Bonus Points If You Have: • Experience selling digital marketing or performance-based services, • Existing client relationships in NYC or U.S. markets, • Familiarity with Zoho CRM, • Additional language skills, • Agency, consultancy, or startup experience, • Remote work with flexible hours (ideally within EST business hours), • Base compensation plus a competitive commission structure, • Opportunity to grow with a nimble, high-impact team, • Direct access to decision-makers and an entrepreneurial working environment

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. #LI-REMOTE #LI-JC2 About the Role We're looking for a Senior Product Manager to lead the strategy, execution, and continuous evolution of Polaris — our secure, enterprise-grade software delivery platform built on Azure. You'll operate at the intersection of Product, Engineering, Security, DevOps, and Release Management to deliver scalable CI/CD capabilities that enable faster, safer, and more reliable software delivery across our entire product portfolio, including COTS offerings, cloud-native platforms, and emerging AI products. This role combines product ownership, technical depth, and program leadership in a compliance-driven, high-stakes environment. Due to the fact that this position will deal with highly sensitive data and will support federal customers, we are only considering US citizens at this time. Security clearance is not , but there is a slight chance it maybe requested in the future What You’ll Do • Own the vision, roadmap, and delivery strategy for the Polaris platform, translating business, engineering, compliance, and security requirements into prioritized epics, features, and user stories, • Lead CI/CD modernization and secure software delivery initiatives across Azure-based pipelines, championing DevSecOps best practices including automated testing, security scanning, artifact validation, and release governance, • Lead end-to-end execution of large-scale initiatives across Engineering, Security, Release Management, and Infrastructure teams, facilitating Agile ceremonies and managing dependencies, • Define and track platform KPIs — deployment frequency, lead time for changes, MTTR, and change failure rate — improving developer experience by treating the pipeline as a product, • Ensure platform capabilities align with enterprise security, compliance, and software supply chain requirements, maintaining audit readiness in partnership with Security Engineering, • Collaborate with SRE and Observability teams to define SLOs, improve operational resilience, and maintain deployment reliability, • Communicate progress, tradeoffs, and strategic recommendations clearly to both technical and executive stakeholders Technologies You’ll Work With • CI/CD platforms: GitHub Actions, Azure DevOps, Jenkins, • IaC and automation: Terraform, Ansible, Docker, Kubernetes, • Cloud: Azure (primary), • Observability: Datadog, Prometheus, Grafana, • Agile tooling: Jira or equivalent, • Compliance and policy automation tooling What You’ll Bring • 8+ years of Product Owner, Technical Product Manager, or equivalent experience in highly technical software environments, • 3–5+ years specifically leading enterprise CI/CD or platform engineering initiatives, • Strong hands-on experience with Secure DevOps, cloud-native platform delivery, and infrastructure automation, • Deep understanding of Azure cloud services, DevSecOps practices, and software supply chain security, • Experience operating in compliance-driven or high-security environments, • Bachelor's degree in Computer Science, Software Engineering, or equivalent hands-on technical proficiency Bonus Skills • Experience supporting AI/ML platform delivery pipelines, • Familiarity with compliance-as-code, policy automation tooling, and artifact management systems, • Experience within enterprise-scale SaaS or cybersecurity organizations, • Agile/Scrum certifications (CSPO, PSPO) or cloud platform/DevOps certifications What you'll get • Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares, • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents, • Medical, dental, and vision coverage starting on your first day, • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program, • 401(k) retirement plan with company matching contributions, • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time, • AirVet: 24/7 virtual veterinary care at no cost, • Legal services, identity protection, and supplemental health insurance options, • Tax-advantaged spending accounts for healthcare, dependent care, and commuting, • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning Compensation Transparency Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range. In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off. U.S. Geographic Zones & Compensation Ranges (TTC / OTE) Zone 1: San Francisco Bay Area, New York City Boroughs $203,300 - $377,400 USD Zone 2: Washington, California (excluding San Francisco Bay Area) $186,300 - $346,000 USD Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona $169,400 - $314,500 USD Zone 4: All other US locations $147,400 - $273,700 USD Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Personal data collected during the recruitment process will be processed in accordance with our _, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment. _

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - USA/Canada/Brazil From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the Role: As a backend-focused Staff Software Engineer, you will own and lead the development of our compliance and financial crime prevention platform. This pivotal role involves designing, building, and maintaining critical systems that power KYC onboarding, sanctions screening, transaction monitoring, and regulatory reporting capabilities. This multifaceted position involves developing new features at scale, driving technical strategy, refining internal tooling and processes, mentoring engineers, and assuming broad ownership across the platform. You will operate as a technical leader with influence beyond your immediate team, partnering with stakeholders across the organization to solve complex problems in a highly regulated domain. The ideal candidate has a proven track record in building highly available APIs, robust data integrations, and leading technical initiatives from conception to delivery. Prior experience in the AML/CFT compliance domain is a plus, but not required. What you’ll be doing: Architect, design, and implement robust, efficient, and reliable backend services for KYC workflows, sanctions screening engines, and alert management systems Build and optimize case management and alert creation pipelines that enable investigators to efficiently review and disposition suspicious activity Develop and maintain integrations with regulatory reporting systems, including SAR filing and GoAML submissions Collaborate closely with compliance stakeholders, product teams, and other engineering teams to translate regulatory requirements into scalable technical solutions Contribute to developing new features and capabilities that enhance detection accuracy, reduce false positives, and streamline investigator workflows Craft and maintain technical documentation for compliance systems, ensuring auditability and facilitating regulatory examinations Play a pivotal role in shaping our company's engineering culture, ensuring the maintenance of high engineering standards across the organization What you’ll need: A minimum of 7 years of proven experience as a Software Engineer specializing in web backend development and complex system integrations A track record of successfully delivering high-quality production services, particularly those involving high-throughput data processing and real-time screening Proficiency in Golang is a significant advantage Proficient in English—from casual chats to formal reports Nice to Have: Experience in regulated industries such as financial services (AML/KYC), healthcare (HIPAA), background screening, payment security (PCI-DSS), or similar compliance-driven environments Familiarity with SAR/STR filing processes and GoAML or similar regulatory reporting formats Experience with case management systems, alert workflows, and investigation tooling Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Who is Basemakers? is one of the most trusted retail sales management companies in the food and beverage industry. After hitting the of the fastest growing privately-held companies in America three consecutive times, we’re expanding our sales services to continue our growth. At the heart of our success is our unwavering belief in the transformative power of relationships—this is the ethos that propels us forward. We are not just a company; we are a dynamic force for change, partnering with trailblazing brands like Oli Pop, Chomps, and Guayaki. These partnerships help turn innovative products into household names. Our approach goes beyond retail sales and merchandising; we forge deep connections with brands, communities, and individuals who are driven to make a meaningful impact. _ that’s reshaping the world of CPG, one relationship at a time. Be a Basemaker Our Basemakers are committed to living our core values: • P - We PURSUE EXCELLENCE, • I - We act with INTEGRITY, • T - We choose TEAMWORK, • C - We COMMUNICATE WELL, • H - We bring HEART The Opportunity Basemakers is seeking a full-time, outside field sales and merchandising representative for one of our New York territories to include parts of New York, New Jersey, and Connecticut, commuting in routes daily around Bronx, Manhattan, Paramus, and Greenwich. Our field representatives are the heartbeat of the organization. As an independent and highly collaborative role, you will visit round 6-8 grocery stores per day (such as Whole Foods Market, Wegman's, Stop & Shop, ShopRite, Balducci's), using the Basemaker's Way to improve the in-store presence of brands. Working with brand products and grocery store decision-makers, you will leverage relationships and work to become a trusted advisor while increasing brand's sales velocity through problem-solving. As a self-motivated, high-achieving, team-oriented, and coachable person, most importantly, you will operate with the utmost integrity as you represent both brands and Basemakers in the community. Responsibilities • Work 100% of the time in the field from your vehicle and in grocery stores merchandising and selling for multiple brands., • Work the hours required each week to visit every store on a specified route, generally as frequently as 2-3 times a month., • Work Monday-Friday, with work beginning in the early morning hours or, if necessary, no later than 9:00 AM. You may be asked or expected to work on Saturday or Sunday to make-up time missed during the workweek if necessary., • Work independently with little supervision while collaborating with grocery store managers, brand-company representatives, and internally with Basemakers' Brand Partner Managers, District Managers and Sales Directors., • Capture brand data (e.g., photos, typing notes, filling out forms) as the feet on the ground, in-store for our brand partners using mobile phone apps (Repsly, Slack, Gmail, Google Workspace)., • Take full ownership of all in-store presence for our brands. This includes improving the in-store presence of brands through display execution, void filling, off-shelf displays & placements, relationships with grocery managers, performing and working collaboratively on effective merchandising and selling points (secondary/tertiary placements, proper shelf management positions, rack, equipment, POS placements), and understanding real in-store needs and pain points through asking questions and being willing to help store staff when applicable. Who You Are (Qualifications) • You have a positive mindset, are driven to accomplish, have a high degree of emotional intelligence and grit, and are coachable and detail oriented., • Growth mentality and goals are familiar to you., • Strong problem solving, analytic, influencing, and negotiation skills., • Experience working in or closely with grocery store operations or the ability to learn nuances of grocery store backgrounds quickly, • Experience working in "route" sales experience, brand ambassadorship, brand vendor sales, merchandising, general retail, or similar territory sales., • Premium selling skills are preferred, or the desire to quickly learn and apply sales techniques., • Passion to represent our Brand Partners, mainly in the natural, organic and specialty food and beverage space., • Track record of success in a highly self-directed environment., • Maintain a high level of communication across team members, including comfort initiating multiple lines of communication through smartphone apps over the internet., • Achieve monthly key performance indicators (KPI’s) and metrics set by supervisors., • Professional demeanor and representation in working with coworkers, distributors, retail representatives and consumers., • You have a valid license, clean driving record, registration, and auto insurance., • You are willing to drive many miles per day in your own own vehicle. Be willing to transport promotional materials such as POS or signage, etc., and very rarely, minimal product quantities (a trunk or back seat is enough)., • Capacity to perform the physical requirements of the position individually while utilizing in-store tools. Physical Requirements Our field reps work at periodically moderate to high levels of physical activity including standing, walking, reaching and grasping. You will be expected to climb ladders, bend and kneel to obtain and move products around the store. You should be able to lift 10 lbs. consistently and 50 lbs. occasionally. Compensation $56,704 OTE at average levels $55,000 base salary + $142 estimated average monthly commissions (expected range: $79 lows to $220 highs per month. Commissions potential is uncapped). $600 monthly vehicle reimbursement. • The commission amounts provided are based on the calculation of the average attained during the last 12 months while looking at the lowest and highest performing months, and are not guaranteed., • Commission is based on personal performance in taking advantage of the opportunities to provide "wins" for brands in the form of additional or incremental placements and exposure opportunities within the grocery stores. This job is highly dependent on personal effort for getting commission. Benefits You'll Enjoy • Uncapped performance-based commissions, • Monthly vehicle and cell phone reimbursements, • Medical, dental, and vision insurance, • 401k plan with employer match, • Frontloaded PTO, • 8 paid holidays, • Monthly amount to recognize and be recognized by others., • Company events: quarterly get-togethers, annual all-company meetings. SMS Communications Consent By applying to this role, you acknowledge that Basemakers may contact you via SMS regarding updates to your application. SMS communications may be used to notify candidates about the stage of their application, including sending interview invitations or reminders. Message frequency will vary depending on your progress in the hiring process. Standard message and data rates may apply, and you may opt out of SMS communications at any time by replying “STOP.” #LI-JH1

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a _ for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: • Ownership That Matters: You’ll lead high-impact projects with real business outcomes, • Rapid Growth: We compress years of learning into months, • Merit Over Titles: Trust and responsibility are earned through execution, not tenure, • Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData’s Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why—and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact, data-driven products to our Retail clients. This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData. In this role, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood and help our clients understand our methodology and data limitations. This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders. As a Data Product Analyst at our Retail team, you will: • Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency, • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables, • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage, • Independently investigate and resolve complex data quality issues, • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation, • Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows, and mentor peers accordingly You Are Likely To Succeed If: • You have 4-6 years of experience in data analytics, data operations, or consulting, • You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks, • You have experience using sample or panel data to make precise estimates that guide decision-making, • You have a proven track record of quickly learning new concepts, particularly complex data methodologies, • You can clearly communicate complex concepts, both orally and in writing, • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company, • You can manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs, • You enjoy mentoring peers and raising the quality bar through shared standards and best practices, • Preferred: Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!, • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!, • The annual on-target earnings for this position is anticipated to be up to $150K + bonus eligible. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. _

Description Portfolio BI’s flagship products and services, PBI Axiom, PBI Vector, and PBI Stratus, enable alternative asset managers to address their data challenges in analytics, workflow, governance, and security. We are hiring a Full Stack Quantitative Developer to design, build, and own end-to-end applications that support credit, private credit, structured products, and CLO businesses. This is a hands-on engineering role with quant DNA: you will write production code across the stack, model financial cash flows and risk, integrate market data and pricing services, and partner directly with client solutions group, portfolio managers, risk, operations, and investor relations. You will work alongside the CIO and senior members of Business Technology to contribute to the modernization of the analytics and reporting platform - moving legacy applications to a responsive, cloud-aware architecture, replacing ad-hoc spreadsheets with auditable services, and building the data and tooling layer that supports the firm’s various lines of business. You will also be expected to use AI coding assistants as a daily part of your workflow. Requirements Education • Bachelor's degree (or higher) from a top-tier university in computer science, mathematics, physics, financial engineering, or another quantitative discipline Experience • 5+ years of professional software engineering experience, including production ownership of customer-facing or business-critical systems, • 2+ years working in capital markets, ideally at a hedge fund, asset manager, investment bank, or financial technology vendor - with direct exposure to fixed income, structured products, derivatives, private credit, or CLOs, • Demonstrated success delivering full-stack applications end-to-end, from requirements through production deployment and support Technical Skills — Core • Languages: strong proficiency in at least one of Python, C#/.NET, or TypeScript/JavaScript, and working competence in a second, • Backend: REST APIs, asynchronous services, and microservice patterns. Python or NET/C# experience strongly preferred given existing systems, • Frontend: modern JavaScript frameworks (React/Angular), responsive web design, HTML5/CSS, and cross-platform optimization for mobile, • Data: expert SQL (window functions, query tuning, set-based thinking); experience with NoSQL/document stores., • Quant / numerical: comfortable with NumPy/pandas (or equivalent), basic statistics, fixed-income math (duration, convexity, OAS), and cash flow modeling, • Tooling: Git (or TFS), CI/CD, DevOps, Confluence, unit and integration testing frameworks, • Cloud: experience deploying and operating services on Azure or AWS is a plus, • Reporting / BI: Tableau dashboard development or SSRS a plus Domain Knowledge • Solid understanding of fixed-income securities, bank loans, and credit instruments, • Familiarity with private credit deal lifecycle: sourcing, underwriting, closing, ongoing monitoring, amendments, and valuation, • Awareness of portfolio accounting concepts (Geneva exposure is a plus) and portfolio risk frameworks (Bloomberg Port, RiskMetrics or equivalent) General Skills • Strong analytical and practical problem-solving skills; you reason from first principles and verify assumptions, • Excellent written and verbal communication; able to explain technical work to PMs and senior executives, • Self-starter with strong work ethic; comfortable juggling multiple workstreams under deadline pressure, • Detail-oriented, with high standards for code quality, data accuracy, and operational discipline, • Team player who collaborates well across technical and non-technical groups Key Responsibilities: • Build full-stack applications across our credit, private credit, and structured products platforms — backend services, APIs, data pipelines, and modern web front ends used by various business teams across the firm, • Develop quantitative models and analytics for fixed-income and structured product valuation, cash flow projections, scenario analysis, and portfolio risk decomposition, • Integrate third-party systems including Geneva (portfolio accounting), market data vendors, CRM platforms, and administrative platforms, design clean, well-tested adapters and reconciliation logic, • Participate in the Migration of legacy .NET/C# applications and SSRS reports to modern, scalable architectures (TypeScript/React front ends, Python or .NET services, cloud-deployed) with responsive UX across desktop and mobile, • Own data quality end-to-end - ingestion, normalization, validation, and lineage - for firmwide positions, partnering with the data management team on governance and controls, • Build reporting and BI spanning Tableau dashboards, internal web tooling, investor reporting, and ad-hoc requests for portfolio composition and DDQ responses, • Translate business needs into engineering — gather requirements directly from PMs, analysts, risk, IR, and operations; document functional and technical specs; write clear UAT plans and lead testing, • Ship like an engineer - write tests, use source control (GIT/TFS), open clean PRs, manage tickets in DevOps, deploy through CI/CD, and monitor what you ship in production, • Use AI coding assistants well - accelerate delivery, reduce boilerplate, and improve code quality, while applying the verification, security, and review standards described later in this document Approximate Time Allocation This is a hands-on builder role. A reasonable target distribution: • 60% development - services, APIs, front-end, quant models, data pipelines, • 20% reporting and analytics development - Tableau, SQL, internal dashboards, investor / DDQ outputs, • 10% requirements gathering and analysis - partnering with the business, • 10% production support, code review, and mentoring Benefits • This is a remote, contract role, in either of these locations: NYC / Dallas / Los Angeles

Sales Representative (Interior Design & Branding Focus) Location: Brooklyn, NY – Remote with Local Field Engagement in Manhattan & Harlem Type: Contract-to-Perm (1099 Independent Contractor) A design-forward company specializing in architectural vinyl wrap installations is seeking a Sales Representative with a strong interest in interior design, branding, and spatial storytelling. This role blends creative vision with sales execution and is ideal for someone who understands how environments influence perception—particularly in commercial, educational, and branded spaces. Sell vinyl wrap solutions to interior designers, architects, schools, businesses, and creative agencies Build and manage relationships with design professionals and decision-makers in NYC Educate clients on vinyl as a high-impact, cost-effective alternative to traditional renovations Generate leads via networking, field outreach, social media, and professional events Collaborate with internal teams to ensure quality project execution Track leads and opportunities in a CRM system and hit performance benchmarks Must currently live in NYC or one of the five boroughs Comfortable traveling for client meetings in Manhattan and Harlem Legally authorized to work in the U.S. Valid driver’s license Willing to undergo a background check 3+ years in B2B sales, design sales, or branding Experience working in or selling into the education sector is a significant plus Background in interior design, environmental graphics, or visual branding Familiarity with LinkedIn, CRM platforms, and digital prospecting tools Contract-to-perm opportunity with long-term growth potential Full flexibility with a remote-first structure and local client fieldwork Direct collaboration with a creative, design-led team Marketing, CRM, and operational support A chance to build your own client base in a visually impactful industry • Monthly retainer plus uncapped commission — earn consistent income with the ability to scale quickly based on performance High-earning potential — projected income opportunity of up to $96,000/year with no cap on commissions Flexible schedule — work remotely while managing your own local field outreach Creative autonomy — represent a visually impactful product used in design, education, and branded spaces Business-building opportunity — develop your own client base and establish yourself in a growing market Sales and marketing support — access to CRM tools, marketing campaigns, and sourcing support Collaborative environment — partner with a team that values design, innovation, and client success

Job Type: PT Location: Remote, Based in New York City Start Date: ASAP Role Overview Our partner is a modern African spirits company on a mission to put Africa on the world’s bar. Their premium portfolio draws on the continent’s vibrant culture and rich botanicals, celebrating traditions with a bold, contemporary twist. They are building a new narrative for African brands and are looking for entrepreneurial talent ready to help us bring this vision to life. We’re seeking an experienced, part-time Sales Manager to drive growth across New York City’s on- and off-trade accounts. This role blends sales planning, account management, and brand building. You’ll work independently in-market, managing relationships, hitting sales targets, and collaborating with marketing to amplify our story. Key Responsibilities: • Sales Planning & Execution, • Develop and implement territory-level sales plans for NYC on and off-trade accounts., • Identify new opportunities and prioritize high-potential venues and retailers., • Account Management, • Build and maintain strong relationships with bars, restaurants, and premium retailers., • Conduct educational tastings and in-person meetings to deepen brand engagement., • Ensure sell-through and visibility at point-of-sale., • Targets & Reporting, • Deliver against agreed sales targets and KPIs., • Provide regular reporting on account performance, market feedback, and competitor activity., • Cross-Functional Collaboration, • Partner with marketing on promotional campaigns and activations., • Share insights from activations and account performance to inform broader marketing and sales strategy. Qualifications • Proven experience in beverage/alcohol sales, brand ambassadorship, or hospitality., • Strong network in NYC’s bar, restaurant, and retail scene., • Ability to work independently, manage your own schedule, and deliver results., • Confident communicator with excellent follow-through and reporting discipline., • Passion for spirits, hospitality, and culture., • Must be 21+ and legally authorized to work in the US. At Pronghorn, we don’t offer jobs — we offer impact. Every seat here is a chance to build, influence, and disrupt industries that weren’t designed with everyone in mind. We are culture shapers, talent developers, and brand builders who believe in doing meaningful work that leaves a legacy. When you join the Pronghorn network, you’re stepping into a community of leaders, creators, and doers committed to excellence and equity. Here, your voice matters. Your ideas move. And your work shows up in real ways across companies, communities, and culture. We move fast. We lead boldly. And we invest in our people every step of the way. $35-$40/hr, depending on experience + commission Work Authorization Due to the nature of these positions, we are unable to provide sponsorship for U.S. work authorization now or in the future. Pronghorn is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. How We Build Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk. Our Tech Stack • Ruby on Rails, • AWS, • Sidekiq, • MySQL, • Redis What the Role Is Babylist's Platform team is the foundation every engineering team builds on — and this role is at the center of keeping it reliable, fast, and scalable. As a Staff SRE, you'll own the infrastructure and reliability practices that support 9 million+ users and the engineers who build for them. Babylist started as an e-commerce and registry platform, and we're actively growing beyond that — into health, media, mobile, and new product surfaces that don't exist yet. The Platform team is the foundation that makes all of it possible. This isn't a maintenance role — you'll be actively evolving how we build and operate AWS infrastructure, CI systems, and developer tooling. You'll work cross-functionally across all of Babylist Engineering, which means your decisions have wide leverage. Who You Are • Deep hands-on Terraform expertise — you own IaC, not just contribute to it, • Proven AWS experience at scale — EKS, RDS, cloud networking, DNS, CDNs, load balancers — you know the gotchas, • Experienced operating Kubernetes in production — you've debugged the hard stuff, not just deployed the easy stuff, • Comfortable designing and improving CI/CD systems — CircleCI, GitHub Actions, or similar; you care about developer velocity, not just pipeline uptime, • Strong observability instincts — Datadog, Sentry, PagerDuty, Cronitor — you build alerting that's actionable, not noisy, • Experienced with on-call and incident management — you've run the post-mortems and actually changed things afterward, • Comfortable supporting developers across local, staging, and production — you're a resource, not a gatekeeper, • You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You Will Make An Impact • Infrastructure ownership — manage and evolve our AWS environment using Terraform, keeping EKS clusters, databases, and core services current and performant, • CI/CD reliability — own the speed and reliability of our CI systems for the full Engineering org — every deploy starts here, • Developer support — be the person engineers turn to when environments break; unblock them fast across local, staging, and production, • Monitoring & alerting standards — establish and socialize best practices so the right people get paged for the right reasons, • Incident response — lead or support incident response, drive post-incident reviews, and close the loop so the same thing doesn't happen twice, • Platform strategy — contribute to architectural decisions that shape how Babylist's infrastructure evolves over the next several years Why This Role • Platform is the team every engineering team depends on — your work has outsized leverage across the entire product org, not just one area, • The infrastructure is solid but actively evolving — you're not inheriting chaos, you're shaping what comes next, • This is a staff-level role with real cross-team visibility — you'll influence how Babylist engineers build and ship, not just keep the lights on, • You'll work on systems that support millions of families at a high-stakes life moment — the scale is real and the product context makes the reliability work matter About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $226,673 to $271,991 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Why You Will Love Working At Babylist Our Culture • We work with focus and intention, then step away to recharge, • We believe in exceptional management and invest in tools and opportunities to connect with colleagues, • We build products that positively impact millions of people's lives, • AI is intentionally embedded in how we work, create, and scale—supporting innovation and impact Growth & Development • Competitive pay and meaningful opportunities for career advancement, • We believe technology and data can solve hard problems, • We're committed to career progression and performance-based advancement Compensation & Benefits • Competitive salary with equity and bonus opportunities, • Company-paid medical, dental, and vision insurance, • Retirement savings plan with company matching and flexible spending accounts, • Generous paid parental leave and PTO, • Remote work stipend to set up your office, • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist — we expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email — it's not us. Verify open roles at babylist.com/careers.

The cloud-backed terminal for individuals and teams _ is modernizing the command line to make it more intuitive, collaborative, and intelligent for developers and teams. We believe there’s an opportunity to build a generational company known for considered, high quality developer products – products developers love rather than tools they tolerate – to displace antiquated developer tools that have mediocre user experiences. The traditional terminal is a prime example of this type of tool having not meaningfully changed in the past 40 years, and is ripe for innovation. By fundamentally reimagining its experience – improving its UX, making it intelligent and collaborative – we can help developers ship better software more quickly. We are looking for outstanding product-focused software engineers who want to work on difficult technical problems with the goal of improving developers’ lives. You’ll be working in Rust and Go with an experienced, kind, and thoughtful team of gifted engineers. For more information on our team and culture, we highly recommend reading our _. 🎥 Here’s a quick 3-min video of Zach Lloyd, our founder and CEO, giving an overview of the product and the company: _ As a Software Engineer, you will… • Participate in all aspects of software development activities, including design, coding, code review, unit/integration testing, bug fixing, and code/API documentation., • Collaborate closely with the rest of engineering, as well as other stakeholders from our growth, marketing, and product teams, to plan features and build a high quality product that elevates the productivity of all developers., • Improve Warp's performance and reliability by building new features or polishing existing parts of the product., • Prototype ideas and concepts to get quick feedback from internal and external users, • Work across the entire technical stack to ensure users have the most efficient and delightful experience using Warp. The features you develop will span all aspects of the user experience, making you an expert on what their needs are., • Be a mentor and provide thoughtful feedback to your peers, and build strong personal connections with your teammates! You may be a good fit if... • You are passionate about helping developers get more done — would jump at the chance to work on this particular product, • You have amazing engineering chops, but are also product- and user-focused, • You have great communication and collaboration skills, • You’re sensitive to developers’ needs, and can develop warm relationships with developers, • Bonus:, • Building native apps in Rust or WASM, • Shell or Linux-programming, • Server-side programming in go, • OpenGL, WebG, or other graphics programming At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles. Salary Transparency Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity. When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $145,000 - $260,000. In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside. Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above. What We Offer • Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board, • Full Medical, Dental and Vision Benefits, • Flexible remote-first culture, with optional WeWork in SF and an office space in NYC for folks who want to work together IRL, • 20-days of Paid Time Off, • 12 US Holidays, • 16 weeks of paid Parental Leave for both birthing and non-birthing parents, • Twice-a-year company retreats, • Monthly gym stipend, • 401(k), • Pre-Tax FSA Health Savings Plan, • Complimentary OneMedical membership Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We believe we will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and what our engineering team culture is like, please take a look at our internal _ guide. We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, _), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our _ showing some of our current features… This is just the start, as our plan is to build out a set of experiences in the terminal that don’t exist today like collaboration, environment sharing, rich data types and more. The Opportunity The terminal is one of very few tools used by every developer every day, which makes it an ideal gateway to improving all sorts of developer activities. We believe there is an opportunity to build a unicorn-sized business improving the command-line. Our strategy is bottom-up developer adoption, followed by driving revenue through enterprise sales and distribution partnerships. To start, our goal is to become the everyday terminal of choice with individual users – immediately usable as a backwards-compatible terminal replacement with the developer’s shell of choice. We have built a closed-source server, which will implement all of the cloud-enabled features. These features will invite users to share their work with others, driving growth and encouraging collaboration. We’ll also focus on building a community and an ecosystem of terminal plugins and apps, creating network effects. At higher levels of team penetration, we will offer an enterprise plan with features around privacy, security and environment management (e.g. secure distribution and management of API keys). These larger enterprise plans will be the ultimate driver of revenue, along with potential distribution deals for companies that see CLI integrations as a way to reach new customers. A couple college students, totally unprompted, wrote a piece on why new students should work at Warp as part of their new newsletter they are launching called "Why You Should Join." It's an incredibly well researched and thoughtful article about the market and competitive landscape, and accurately reflects our thesis. Read it _.