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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 Description Staff Product Manager, AI PlatformThe Opportunity: Define the Future of Agentic AI in the Enterprise Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. 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 defined by a strong product culture, deep technical ambition, and a commitment to building AI systems that are reliable, transparent, and outcome-driven. Join us to build the core intelligence layer for one of the most innovative enterprise platforms in the market.Build the Foundation for Agentic AI at Scale Invoca is building a shared AI Platform that powers every AI-driven product and every agentic experience we continue to deliver. This foundational platform is the execution layer behind Voice AI, SMS Agents, Signals, Scoring, and emerging copilots. This is a rare and critical opportunity to define how agentic AI actually runs in production inside an enterprise SaaS company. You will own the execution layer—from orchestration and context to governance, evaluation, and developer experience. Your work will determine not just what Invoca's AI can do, but how safely, consistently, and efficiently it does it at scale.The AI Platform Team The AI Platform team builds the shared systems that empower product teams across Invoca to ship AI-powered experiences with confidence. We operate at the intersection of infrastructure, applied AI, and product design, focusing on: • Agent execution and orchestration, • Context management and grounding, • Evaluation, observability, and quality control, • Governance, safety, and multi-tenant isolation, • Developer and product experiences that scale across teams Our success is measured by the leverage we create: how many teams can build on the platform, how safely they can innovate, and how quickly high-quality AI experiences reach customers.Your Role and Impact As a Staff Product Manager, AI Platform, you will own the product vision and roadmap for Invoca's agentic AI platform—the foundational layer that runs, governs, and evolves AI agents across channels and products. This role requires deep technical judgment and a strong systems mindset. You will focus on the architectural and experience boundaries of the platform, not just a single AI feature or agent. You will operate as a senior individual contributor reporting to the VP of Product, with broad influence across engineering, data, security, and product teams. Success requires strong systems thinking, platform judgment, and the ability to balance cutting-edge innovation with enterprise-grade trust.What You'll Be Doing (Key Responsibilities) • Drive Strategy: Own the end-to-end product strategy and roadmap for Invoca's AI Platform, aligning technical foundations with company-level AI principles around reliability, safety, and measurable outcomes., • Define Execution: Establish how AI agents execute in production, including orchestration patterns, tool invocation semantics, context handling, and behavior across asynchronous and real-time environments., • Architect Contracts: Establish clear, durable platform contracts—APIs, configuration schemas, versioned artifacts—that make agent behavior portable, governable, and scalable across products and channels., • Partner for Scale: Collaborate deeply with AI engineering and data teams to translate agentic patterns into reliable systems, making principled tradeoffs across reasoning quality, latency, cost, and operational complexity., • Enable Adoption: Drive standardization through paved roads, golden paths, SDKs, and shared components that reduce bespoke implementations and accelerate internal adoption., • Enforce Quality: Define and enforce platform-level quality, safety, and governance mechanisms, including evaluation workflows, promotion gates, observability, Role-Based Access Control (RBAC), and auditability., • Shape Experience: Shape the developer and product experience for building, testing, debugging, and operating AI agents, ensuring the platform is intuitive, debuggable, and trusted by internal teams., • Guide Evolution: Guide the evolution from an internal platform to a product-grade system, informing customer-facing configuration and studio experiences without compromising guardrails, privacy, or reliability., • Make Build/Buy Decisions: Evaluate build vs. buy decisions for foundational AI infrastructure and guide vendor integrations behind stable, well-defined platform contracts., • Measure Success: Define success metrics for the AI Platform and continuously measure impact through adoption, reuse, quality, performance, and cost efficiency., • Stay Current: Stay current on advancements in agentic AI, orchestration frameworks, and evaluation best practices, translating signal into pragmatic product decisions rather than chasing hype. What You'll Bring (Core Qualifications) • Experience: 8+ years of product management experience, with meaningful time spent building platforms, infrastructure, or developer-facing products used by other teams., • Technical Foundation: Background in engineering, computer science, or equivalent hands-on experience building and operating complex software systems., • System Knowledge: Strong systems-level understanding of AI-powered and distributed systems, including LLM-based agents, multi-step workflows, retrieval, and tool calling—sufficient to reason about execution models and failure modes without writing production code., • Contract Definition: Demonstrated experience defining and scaling platform contracts, including APIs, configuration models, versioning strategies, and lifecycle management., • Governance & Standards: Proven ability to introduce standards, governance, and quality controls in ways that accelerate product velocity rather than constrain it., • Quality Focus: Deep appreciation for evaluation, observability, and regression testing as first-class requirements for AI systems., • Enterprise Awareness: Experience operating in enterprise, multi-tenant environments where privacy, security, compliance, and auditability are core design constraints., • Developer Empathy: Strong instincts for developer experience, including the use of golden paths, tooling, and defaults to drive adoption and reduce fragmentation., • Tradeoff Mastery: Track record of making hard tradeoffs across latency, cost, quality, and reliability in complex, distributed systems., • Influence: Exceptional communication and influence skills, with the ability to align engineering, data science, product, and Go-To-Market (GTM) stakeholders around shared platform goals. Desirable, But Not Required • Experience with agentic AI frameworks (e.g., LangChain, LangGraph, ReAct-style systems) or standardized tool invocation models (e.g., MCP)., • Familiarity with real-time systems such as voice, streaming, or low-latency inference., • Background in enterprise SaaS or compliance-heavy domains. Location & Inclusion • Location: This role is remote and open to candidates located in the United States and Canada only. While visa sponsorship is not available, transfers will be considered., • 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. 📍 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. 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 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 - Salary Range $140,000-$208,000 / 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. #LI-Remote

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 DescriptionAbout Invoca Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About the Engineering Team You'll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between. We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other. About the Role We are hiring a Staff AI Platform Engineer to help build the core platform that powers AI development at Invoca. This role is not focused on building isolated AI features or one-off model applications; this is a platform engineering role. You will design and build the reusable systems, abstractions, interfaces, and operating standards that enable product teams to develop, ship, and operate AI capabilities quickly and safely. You will work at the intersection of developer experience, backend systems, AI infrastructure, and platform architecture. Your job is to turn common AI development problems into durable platform capabilities: SDKs, APIs, gateways, orchestration primitives, evaluation frameworks, context-management tooling, and governance mechanisms that can be used broadly across teams. The right person for this role thinks in terms of platform as a product. You care not only about technical correctness, but also adoption, ergonomics, standardization, and long-term leverage. You know how to create opinionated golden paths that help teams move faster without sacrificing reliability, observability, or governance. What you'll have the opportunity to do: • Build the AI platform foundations: Design and maintain the core APIs, SDKs, libraries, and services that standardize how teams at Invoca build AI and agentic capabilities., • Create reusable agentic platform primitives: Build the platform components that product teams can assemble into real applications, such as orchestration building blocks, tool interfaces, workflow contracts, context-handling systems, and retrieval primitives., • Own platform-level evaluation infrastructure: Build the shared evaluation framework that enables teams to test AI systems consistently and at scale. This includes CI/CD integration, dataset and experiment workflows, scoring pipelines, and support for offline and online evaluation., • Standardize orchestration and interoperability: Help define the contracts, schemas, and interfaces that allow tools, runtimes, and services to work together cleanly. This includes platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent or agent-to-system interactions., • Build for production scale and reliability: Design and improve the serving, routing, and control layers that sit between applications and model providers. You will help ensure low latency, high availability, cost efficiency, and strong production behavior.Drive observability and governance: Build and enforce the platform capabilities that make AI systems measurable, debuggable, and governable in production, including tracing, auditing, policy enforcement, and operational standards.Improve developer experience and platform adoption: Treat engineers and product teams as customers. Create tools, templates, documentation, and reference implementations that make the platform easy to adopt and hard to misuse., • Shape technical direction: As a staff engineer, you will influence architecture, standards, and long-term technical strategy for AI Platform. You will identify repeated patterns across teams and convert them into reusable platform solutions. As a Staff AI Platform Engineer, you will help define the technical foundation for AI development at Invoca. You will not be building isolated AI features; you will be creating the shared platform capabilities, standards, and operating model that enable many teams to build AI products quickly, safely, and consistently. You will: • Architect the AI platform foundations: Design and evolve the core libraries, SDKs, APIs, and shared services that standardize how teams build agentic and GenAI-powered products at Invoca., • Build reusable agentic and retrieval primitives: Create modular platform components for orchestration, retrieval, tool execution, workflow composition, adoption of latest protocols and standards, and A2A/MCP-compatible interoperability that product teams can use to build production-grade AI systems., • Own the evaluation platform: Build the shared evaluation infrastructure that enables teams to measure and improve AI quality through datasets, scoring pipelines, experiment workflows, and CI/CD-integrated offline and online evaluations., • Standardize context engineering: Develop the systems and tooling for prompt management, context versioning, templating, testing, and governance so teams can iterate safely and consistently on AI applications., • Engineer for scale, reliability, and governance: Build/Establish the serving, routing, and control layers between applications and model providers, ensuring strong production performance, cost efficiency, policy enforcement, and operational resilience., • Drive technical strategy and platform adoption: Partner with product and engineering leaders to turn recurring architectural needs into shared standards, reference implementations, and developer-friendly golden paths that accelerate delivery across the organization.Our Commitment to You At Invoca, AI Engineers are empowered by mentorship from leading experts across our data science, engineering, and architecture teams. Our dedicated AI platform team leverages a powerful combination of proprietary, and best-in-class vendor tools to create an scalable AI platform. Our goal is to seamlessly deliver transformative AI-powered experiences through our robust AI platform, and your expertise will contribute significantly in accelerating this mission. What You Bring to the Table: We're looking for a creative and driven AI Platform Engineer who is excited to tackle complex problems and build impactful solutions. You likely have: • Staff-level Platform Engineering Depth: 7+ years of professional experience in Platform engineering in AI/ML disciplines, with a strong focus on building shared infrastructure, platform products, developer tooling, or foundational backend systems used by a large number of users., • AI platform or agentic systems experience: You have worked on the infrastructure and framework layers behind AI systems such as agent orchestration, model-serving abstractions, evaluation systems, retrieval infrastructure, prompt/context tooling, MCP/A2A stack, platform APIs for AI development, etc., • Developer-facing product mindset: You care deeply about developer experience. You know how to design systems, interfaces, and abstractions that engineers actually want to use., • Strong distributed systems and backend engineering skills: You are highly effective in Python and/or TypeScript and are comfortable designing resilient services, APIs, asynchronous systems, and distributed workflows., • API and contract design ability: You have designed robust, typed, well-structured interfaces such as REST, gRPC, SDKs, or platform contracts that support long-term extensibility and adoption., • AI Systems Thinking Ability: You haven't just used frameworks like LangChain, LangGraph or LlamaIndex; you understand how they work under the hood and know when to abstract them away. You have built frameworks using them to solve various AI concerns for developers., • Experience with model infrastructure and operational concerns: You understand latency, throughput, reliability, token/cost management, model-provider integration, and the realities of running AI systems in production., • Experience with observability and evaluation: You have built or contributed to tracing, quality measurement, automated evaluation, or other systems that help teams understand and improve AI system performance., • Platform standardization instincts: You know how to take repeated engineering problems and turn them into reusable golden paths, shared components, and organizational standards., • Infrastructure as Code: Familiarity with Kubernetes, Docker, and Terraform., • Web Technologies: Intermediate to Expert level proficiency with TypeScript/JavaScript, React, and other web technologies., • Educational Foundation: Bachelor's Degree in Computer Science, Engineering, or a related field (or equivalent practical experience). An advanced degree (Master's or Ph.D.) is a strong plus. It would be a strong bonus if you have: • Experience with agent frameworks and orchestration runtimes such as LangGraph, LangChain, LiveKit or similar systems, • Experience with model gateways, inference infrastructure, or provider-routing layers, • Experience with retrieval systems, vector databases, and context-management infrastructure, • Familiarity with MCP-style interfaces, tool interoperability patterns, or workflow schemas, • Experience with multi-tenant platform design, governance, or enterprise-grade controls, • Experience creating reference implementations, templates, or internal developer platforms This role is a strong fit if you have built: • developer-facing AI platforms, • reusable orchestration or workflow systems, • evaluation and experimentation infrastructure, • platform APIs and SDKs for internal and/or external product/engineering teams, • model-serving, routing, or AI control-plane infrastructure, • shared AI tooling with strong operational rigor 📍 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 $180,000 - $273,000 plus bonus + equity #LI-Remote #LI-Remote#LI-Remote

Job Description Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About the Team The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects. About the Role We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack — model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers. Core Focus & Primary Ownership • Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts — including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack., • Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access. Broader Contributions • Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence., • Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable., • Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products., • Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference. What You Bring • 5+ years of ML Engineering experience with a strong production focus, • Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy), • Demonstrated track record deploying and maintaining transformer-based NLP models in production, • Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning, • Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar, • Experience building production-grade APIs that expose ML models to downstream consumers, • Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent), • B.S. in Computer Science, Engineering, Statistics, or equivalent; advanced degree a plus, • Familiarity with RLHF or preference training is a bonus 📍 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 $152,000 - $228,000 USD plus bonus + equity #LI-Remote

Job DescriptionSenior Software Engineer I (Octothorpe) About 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. About the Team: Octothorpe is a platform multiplier team: we build, maintain, and support tooling for connecting pieces of the platform (gems/libraries, CI/CD, shared infrastructure patterns) to improve the lives of service owners. Invoca's Release Engineering "North Star" is that any change that supports a service (code/config/infra/secrets/process settings) flows through a standard build & deploy process with CI, config validation, security checks, health checks, and rollback quickly and reliably. Octothorpe owns and evolves the tooling and processes that power developer autonomy, automation, standardization, tight feedback loops, and staging/production parity. About the Role: As a Senior Software Engineer I on Octothorpe, you'll be an individual contributor reporting to the Sr. Software Engineering Manager. You'll focus on turning our internal engineering platform vision into reality by strengthening our CI/CD, driving key Ruby/Rails platform upgrades, and making authentication/authorization safer and more standardized across services. You'll operate as an expert within the team's domains: solving large-scope problems, leading small efforts from design through rollout, and helping your teammates remove bottlenecks. The work is highly cross-functional and platform-oriented. You Will: Own and evolve CI/CD "paved road" tooling • Build and maintain reliable, scalable CI/CD workflows (guardrails, automation, reusable patterns/templates)., • Enhance Backstage as the unified developer portal, improving CI/CD visibility, deployment tracking, and self-service workflows., • Improve developer feedback loops: reduce flaky pipelines, speed up builds/tests, and increase observability of the release toolchain., • Operationally support release tooling (triage, incident follow-ups, preventative improvements).Drive Ruby/Rails platform upgrades (monolith + ecosystem), • Lead or heavily contribute to Ruby and Rails upgrade efforts, including:, • Coordinating cross-repo changes (application, Docker/CI images, shared gems, test strategy)., • Creating safe rollout plans (canaries, staged deploys, rollback paths) and enabling other teams through docs/runbooks.Platform enablement, • Build and improve self-service tooling and Golden Path workflows through Backstage, CI/CD templates, and standardized patterns so service teams can safely own their own infra, config, and auth changes without gatekeepers., • Help standardize and operationalize Auth0 and other authentication/authorization patterns across environments, • Partner with service teams to drive Golden Path adoption, unblock migrations, and turn platform investments into org-wide leverage.Embrace AI to accelerate delivery and improve developer experience, • Use AI-assisted development responsibly to increase throughput and quality (e.g., faster iteration, better testing strategies, improved docs/runbooks)., • Help the org adopt AI tools safely and effectively by sharing best practices and patterns. You Have: • CI/CD, Release Engineering, (Buildkite/Backstage), • ArgoCD, Kubernetes, • Ruby, Ruby on Rails, Bundler, dependency management, • Runtime/framework upgrades (Ruby upgrades, Rails upgrades), • Auth0 (or similar IdP), OAuth/OIDC concepts, M2M authentication, • Terraform / infrastructure-as-code (nice-to-have), • Observability, on-call/operational support, incident analysis, • AI-assisted development (Cursor, Claude Code) and best-practice sharing, • Working experience in a PAAS environment 📍 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. 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 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 - Salary Range $127,000-$191,000 / 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. #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 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.

Regional Field Sales & Education Manager. Remote (in Territory). East Coast / West Coast AKT (pronounced “act”) is The Personal Performance Company with multi award-winning body care that may change your life. Founded by West End stars Ed Currie and Andy Coxon, AKT is by and for those who are “Born to Perform” — on the stage, at work, or in life. In 2020, The Deodorant Balm made its stunning debut to rave reviews and awards from Vogue, GQ, Esquire, and Harper’s BAZAAR. Plastic-free, aluminium-free, and gender-free, The Deodorant Balm instantly resonated with those looking for a natural deodorant that genuinely worked. Five fragrances and over 700,000 happy armpits later, The Deodorant Balm is already becoming a household name. To this day, every new AKT product is put through its paces by London’s hard-working theatre community to ensure it lives up to the high standards of its founders. As a rule, AKT’s products don’t break character — ever. It’s this effectiveness that has propelled AKT from the backstage to bathroom cabinets, bedside tables, duffel bags, and carry-on luggage worldwide. And the good news is — the performance is just getting started. About The Role: In this newly created role, reporting to the Director of Field Sales and Global Education, the Regional Field Sales Manager operates as the senior field leader for the region, driving in-store revenue growth, strengthening key retail partnerships, and ensuring operational excellence. The role leads and develops regional field sales and freelance teams and works closely with cross-functional partners including Sales, Education, Marketing, Merchandising, Operations, and Finance to deliver cohesive execution across merchandising, sales, education strategies, and key retail events. Externally, the role serves as a primary liaison with the Sephora store and regional leadership, building trusted partnerships to support mutual business objectives. This is a hands-on leadership role within a fast-paced, high-growth operating environment following the brand’s recent US launch and rapid expansion within Sephora. Success requires strong retail acumen, people leadership capability, and deep familiarity with prestige beauty retail, with the ability to translate strategy into impactful in-store execution, manage regional performance and forecasting, and own regional financial results while championing brand values and culture. Frequent travel is required, with an expectation of spending significant time in-store and within the region (approximately 50–70% travel) to coach teams, partner with retailers, and ensure consistent, high-quality execution. • Sales Performance & Commercial Delivery: Deliver regional sell-through, conversion, and productivity by owning sales performance against targets and executing effective store-level action plans., • Brand Execution & Retail Excellence: Maintain consistent brand standards across all doors, ensuring flawless execution of launches, visual merchandising, gondola updates, tester maintenance, and hygiene compliance., • People Leadership & Capability Building: Inspire and develop a high-performing regional field team through clear performance expectations, coaching, regular field visits, hiring, and ongoing training., • Field Operations & In-Store Effectiveness: Oversee in-store execution through regular field presence, hands-on coaching, and partnership with retailer leadership to drive impactful training and engagement., • Performance Management & KPI Governance: Embed clear KPIs and accountability frameworks to track performance, identify gaps, and accelerate productivity across the region., • Data Analysis & Continuous Improvement: Analyse store-level data to identify risks and opportunities, delivering targeted interventions to improve underperforming doors., • Launch, Events & Retail Moments: Deliver seamless execution of corporate-marketed and retailer-led events, animations, and key retail moments to maximize commercial impact., • Strategic Insight & Forecasting: Influence commercial, product, and marketing strategy by providing accurate forecasts, post-launch recaps, and actionable field insights. About You · Direct experience working with Sephora, with experience launching and scaling beauty brands as well as strong relationships with Sephora leadership · Proven experience managing multi-state field teams across the US · Strong understanding of retail KPIs: sell-through, conversion, productivity, and inventory · Strong people leadership and coaching skills, with experience leading through change in high-growth environments · Data-driven decision maker with strong analytical skills, attention to detail, and a high standard for execution · Exceptional communication and relationship-building skills · A passion for beauty, trends, and the Sephora customer experience · Self-starter that thrives in a fast-paced environment · Willingness to travel extensively within region (50–70%) Backstage Perks: • This is a great opportunity to make a real impact and join the business in its next stage of growth having launched in the USA in 2024 and now about to launch in 300+ Sephora doors across the region, • Flexible Working Policy: Our office is based in NYC, however, this is a remote position in territory which will be either West Coast or East Coast. Preferred location would be NYC or San Francisco, • Employee discounts on our products, • Funny, kind and inclusive work environment. We are banter, but we get sh*t done, • 20 days PTO, • Health insurance, • To be a part of a collective of creatives: at AKT brand is number 1 Everybody is welcome AKT London is for everyone. We believe that an inclusive work environment and a diverse, empowered team are key to achieving our mission. Our products are gender free and built for every BODY to help give them the confidence to step onto their stage – whatever that may be – and PERFORM. Our work environment is no different. AKT London is an equal opportunity employer. We do not discriminate based on race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We commit to a focused and sustained action to dismantle racist systems, policies, practices, and ideologies within ourselves and our networks. We have zero tolerance for intolerance. With our Founders belonging to a minority community, we commit to difference and diversity from the beginning, and we know what a rich and creative work environment can cultivate. The salary for this position is between $110,000 and $120,000 per year. This pay scale is provided in accordance with New York and California law, and reflects the expected base salary for the role. Final compensation will be determined based on job-related factors including experience, qualifications, skills, and geographic location. This position may be eligible for additional compensation such as bonus or commission, up to 10% of salary.

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

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Senior. Manager, Data Insights will report to the VP, Data and Growth and optimize how internal teams share data to unlock actionable business intelligence. This team is the data engine supporting Docker’s engineering, product, go-to-market (sales, marketing, customer success), and G&A teams. The Director will lead a team of high-performing data engineers, analysts, and scientists to build Docker’s next-generation data framework. This role is responsible for data governance, infrastructure management, advanced modeling, and providing the foundation for machine learning. As it is highly cross-functional, this role supports a bias for considered action and open collaboration across the entire organization by furnishing every team with immediate access to data. Success in this role requires a strong people manager who can invest in the growth of both technical experts and aspiring leaders and the ability to manage via influence across the data professionals nested within partnering organizations. This data team will tremendously impact the future of Docker’s growth as the vision is to provide the foundation for product and business intelligence that will fuel critical insights across the company. This position will be a core member of the Data & Growth leadership team with opportunities to stretch beyond the bounds of the initial charter. This Director will work with the core executive team at Docker to understand near-term and long-term data needs and report on the progress of data optimization throughout the company. This role will also serve as a trusted consultant for org-wide initiatives focused on verticals outside of the core responsibilities. This role will also serve as a leadership resource for founding technical teams. Own the roadmap and execution for data modeling, delivering data insights, prioritizing projects that align with business objectives and deliver measurable ROI. Accountable for establishing, providing, maintaining, and owning Docker’s single source of truth for data Facilitate discussions with business leaders to identify their data capabilities and align on objectives. Maintain business capability, data, and processes while transitioning data services to an optimized state. Mature data models using a framework that delivers on near-term business needs while optimizing for future needs at scale. Partner in the strategic planning process by providing input to the definition of initiatives while providing visibility to impact, dependencies, overlaps, and opportunities. Work closely with engineers, analyst and Data scientists to identify technical requirements and design, execute, and evolve data models for use across multiple analytic solutions. Oversee data optimization projects across all business partners, from analysis through planning, design, development, implementation, and evaluation. Build data strategy for Docker. Build internal and external data products. Responsible for the data project backlog and roadmap Provide leadership, technical direction, and mentoring to data teams in the Data and Growth organization. Own vendor relationships and define processes related to the evaluation and selection process of third-party systems/applications Lead continuous analysis and improvement of data tech stack features, utilization, releases, best practices, and return on investments that align with the company & functional vision and strategy. Build strong feedback loops with business partners (Onboarding, Knowledge Management, Methodology, Instructional Design) to create synergies across the collective data stakeholders. 10+ years of work experience in leading teams to build modern data architectures with a focus on learning and development with progressively increasing responsibility 6+ years of direct people management experience and a proven track record of developing data professionals. Strong leadership skills Extensive experience in data modeling and machine learning technologies Experience in product management and engineering Experience owning, implementing, and architecting large centralized data stores Experience driving vendor selection and contract negotiation A strong track record of both internal stakeholder influence and vendor partner management Experience in working with cross-functional teams Track record of leading high-growth teams and scale in a startup environment Applied knowledge of the OKR framework preferred Strong analytical talents to identify key metrics and how to improve operations to yield measurable impact Accomplished in building and managing an incident response framework for data teams Excellent in program management Meet every member of the data team under Data Insights, key stakeholders in product, sales, marketing, and Finance, and cross-functional data leaders in the virtual data organization to discover their opinions on what works and what doesn’t. Then, identify focus areas for optimization. Based on input from the team and an assessment of the current state of data, structure the team and finalize the roles and responsibilities to support the team's mission and deliverables. Identify the top priority for the team to focus on in the next 30/60/90 days. Deliver the data insights strategy for Docker. Lead the virtual data organization in strategic planning and execution of prioritized projects. Streamline the workflow from stakeholders' demands to actual deliverables for each data team. Deliver the strategy plan to enable self-serve data analytics and roll out core data models. Present the current data state and our Data insights strategy and execution plan moving forward to the leadership team. Deliver a core set of metric definitions that are aligned across functional teams. Finalize the North Star Metrics definition for all products and deliver the 2 sets of measurement and reporting of North Star Metrics. Institute health metrics with a weekly review cadence to measure every data project complete with key performance indicators. Set expectations on the deliverables. Mentor and guide the team so they can run day-to-day core functions of data operations without your direct engagement. Lead the data Insights team to deliver data projects on time and with quality. Streamline operation Provide a crystal clear view of the company's data insights project backlog and roadmap. Deliver data insights (not just dashboard reports) to stakeholders. Meet all milestones towards strategic initiatives like self-serve analytics, core data model rollout, etc. The Data Team maintains a brand defined as customer-centric, helpful, and secure. Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

📍 Location: Remote or Hybrid (SF or NYC) ReadMe is looking for a back end engineer who enjoys working in a collaborative team environment. Our teams are full of curious, creative, and committed people who love what they’re building. If that sounds like you, you’ll be right at home at ReadMe! We're a small team of humans (and one _) working together to do big things, and we’re growing fast! That’s where you come in. Since we’re a startup, you’ll make a big impact on ReadMe - both in the daily responsibilities of your role and beyond. ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you’ve ever visited the developer docs for Apple, Notion, or Nvidia, you’ve used ReadMe! We love what we do because it’s so much more than just documentation. We’re providing tools for teams to build a better developer experience and make their products and APIs easier to use. You're fluent in TypeScript and have a deep understanding of cloud computing services, making you a go-to for building and scaling modern systems. When it comes to architecture, your skills are top-notch—you're a pro at designing systems that are robust, scalable, maintainable and future-proof. You are able to work cross-functionally with designers and product folks at just the right level—whether it’s big-picture brainstorming or in nitty-gritty details. You thrive on collaboration and know how to create space for everyone’s voice at the table (or Zoom call). Complex problems don’t scare you: you’re a natural at untangling them, finding efficient solutions, and guiding the team toward the finish line—even if it means making a compromise or two along the way. You believe in the magic of iteration—shipping small, learning fast, and improving constantly. You genuinely enjoy mentoring and helping your teammates level up—it’s not just about writing code, but building the people around you up too. You're a pro at striking the perfect balance between driving things forward on your own to deliver real value while also breaking down problems into bite-sized pieces that the whole team can tackle together. You're passionate about engineering and always hungry to learn more, with a knack for diving deep to understand the scope of a problem and crafting the right solutions. We’re all about making life easier for our customers—whether it’s simplifying how they create and maintain their docs or giving them better ways to track API metrics. Solving real problems for our users means we get to tackle some seriously interesting technical challenges. Some examples of projects Back End Engineers have worked on recently include: We built a Git-backed data storage service to scale with our growing customer base, serving thousands of projects seamlessly via Git storage. But it wasn’t just a cool engineering feat—it empowers our users to manage their docs directly from their existing Git repositories. People say documentation is where information goes to die, but we’re on a mission to make ReadMe the place where documentation truly comes to life! Some projects are about looking back so we can build a better future. To keep ReadMe moving forward, we took a hard look at our original API layer and realized it needed a redesign—not just for our sake, but to make our customers' lives easier too. So, we rolled up our sleeves, reworked our API models, separated our APIs from our data layer, and automated API documentation. It’s easy for companies to just keep stacking onto what already exists, but at ReadMe, we believe quality improvements matter just as much as new features. ReadMe is a company that prides itself on caring about it’s people; customers and employees. We don’t just care about the work we do, but the people who make ReadMe what it is. Take a glance at our benefits and you’ll see that our culture of care is intentionally built into how we operate as a company. Unlimited PTO with a three-week minimum. 🏝 Fully covered medical, dental, and vision insurance for you, and your dependents. 🩺 A One Medical membership. 🧑‍⚕️ A wellness stipend for therapy of up to $350 per month for up to 6 months. 😌 A wellness stipend of up to $150 per month. 🏋️ One-to-one donation matching of up to $1,000 per year. 💸 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣 Work from home office stipend of $500. 🖥️ Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️ Take a look at our _ for more information on our benefits! 📘 At ReadMe, we want the interview process to reflect who we are: open, caring, with just a touch of whimsy. We’ve designed the process not only to embody the values that have helped us build an amazing team but also to give candidates the best opportunity to showcase their skills and let their true selves shine. After all, it’s about finding the right people to help take ReadMe even further! If you want a deeper dive into our hiring philosophy check out this blog post about _. If we think we might be a good fit for you, we’ll set up a 30 minute phone chat with one of our Engineering Managers. They'll tell you more about the role, and get a chance to learn more about your personal experience. Next, a 30-minute phone interview with Laura, our VP of Engineering, where we’ll dive a bit more into your background. We’ll then do a technical assessment with a couple of ReadMe’s engineers. Finally, we’ll invite you to an "onsite" interview conducted over Zoom! These take an average of 4.5 hours including an hour break. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you’ll be interviewing with, and then have you talk with each person one-on-one later on. We’ll let you know how things went within a week! If it seems like a good fit all around, we’ll extend you an offer! If not, we will update you to let you know so you aren’t left hanging. At ReadMe, we’re committed to cultivating a diverse and inclusive workplace. We welcome people of all backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here!

About Nava Nava is a consultancy and public benefit corporation working to make government services simple, effective, and accessible to all. Since 2013, federal, state, and local government agencies have trusted Nava to build transformative digital services to help people access public benefits. Meeting our mission is an opportunity to restore trust between people and public institutions. We focus on populations that are the least protected because the stakes are higher. As a client services company, we work with government agencies to improve how people apply for benefits, navigate their health care, and more. We bill for our time, selling our expertise and problem-solving methodology to government clients. Our clients hire us to help improve their products and services so that their users and beneficiaries have a better customer experience. These end-users—the humans who benefit from our work—are at the core of everything we do. We research beneficiaries’ needs to help our government clients better deliver on their missions, providing everyone at Nava opportunities to do meaningful, impactful work. The Senior Software Engineer’s purpose is to improve overall engineering quality through documentation, technical guidance and mentoring, and applying best practices to the work. The incumbent leads significant migration efforts and routinely works with government stakeholders to get buy-in on technical initiatives. This role collaborates with the product team, government stakeholders, and other contractors to build new systems and make improvements to existing systems. These responsibilities support Nava’s culture and mission: Be Active Stewards, Pursue the Root Cause, Think Long-Term, Build Together, Inclusion is Essential and Progress Takes Work. \n What You'll do: • Working with fellow Nava engineers to design, review, and build well-crafted software, • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems, • Working in an agile manner to efficiently ship new features that meet user needs, • Creating tools and processes to automate our development, testing, and production workflows, • Writing and reviewing technical documentation, performing code reviewsParticipating in an on-call rotation to support production systems and investigate issues when they occur, • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed, • Assist in developing the overall vision for our salesforce updating and integration, • Will implement merge of 2 similar, but distinct, salesforce orgsIntegrate with external data sources, • Consolidate, and improve the separate data models from each org into a cohesive whole that can scale with the organization, • Analyze existing Apex code and determine what should be kept, rewritten, or moved to a Flow, • Analyze existing Flows and code and consolidate into a thought out set of flows and code that are logically grouped and represent current business processes Required Skills: • Senior Salesforce Engineer that will work with an Architect and junior developers to decide and implement modernization strategies, • At least 5 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale Salesforce applications, • Experience with AWS and SQL databases a plus, • Understanding of user interface design best practices, • Demonstrated ability to integrate Salesforce into an enterprise level cloud application, • Tenacity to dive into problems and iterate in working code, • Equal parts systems thinker and advocate for usersHighly resourceful, reliable, and detail-oriented, • Ability to think strategically around trade-offs and short term vs. long term benefits, • An adaptive, empathetic, collaborative and positive mindset, • Excellent written and verbal communication skills, technical and otherwise \n$153,000 - $171,000 a year\n Other requirements All roles at Nava require the following: ● Must be legally authorized to work in the United States and meet any other requirements for government contracts for which they are hired. ● Candidates who are offered a job with Nava must possess work authorization that does not require sponsorship by their employer for a visa now or in the future. ● May be subject to a government security investigation and must meet eligibility requirements for access to classified information or applicants who are eligible for security clearances. Perks working with Nava ● Competitive benefits: We prioritize your well-being, offering highly competitive medical, dental, and vision benefits. ● Generous time off: Enjoy 20 days of accrued PTO, 12 paid federal holidays, 5 prorated floating holidays, and unlimited sick leave. ● Annual discretionary bonus: Paid annually to eligible employees. When Nava does well, you do well. ● Parental leave: Receive 16 weeks of fully paid parental leave and weekly meal deliveries during your leave. ● Employee wellness program: Access our comprehensive Employee Wellness Program. ● Virtual doctor visits: Enjoy zero copay virtual doctor visits through UHC. ● Fertility support: Benefit from fertility support and treatment options. ● Sabbatical leave: We offer a sabbatical leave program. ● 401k contributions: We match 4% of your salary in 401k contributions. ● Flexible work arrangements: We offer flexible work arrangements to suit your needs. ● Home office setup: Receive assistance with your home office setup and a monthly phone allowance. ● Utilities reimbursement: Get a monthly partial reimbursement for utilities (where applicable). ● Learning and development: Access our comprehensive learning and development program. ● Tuition and Professional development budget: Receive a prorated annual tuition and professional development budget and a LinkedIn Learning license. ● Equity stock options: Benefit from equity stock options. ● Employee referral program: Participate in our employee referral program. ● Commuter benefits: Enjoy commuter benefits. ● Insurance coverage: Receive short and long-term disability insurance, as well as life and accidental death insurance. ● Inclusive culture: Join our diverse, inclusive, highly collaborative, and vibrant culture that supports remote work. Location You can work in a hybrid work arrangement from one of Nava’s offices in NYC, DC, or San Francisco. We also have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Stay in touch Sign up for our _ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Nava PBC equal opportunity employer that is deeply committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, age, gender, religious or political beliefs, national origin or heritage, marital status, disability, sex, sexual orientation or gender identity, genetic information, pregnancy, status as a protected veteran or any characteristic protected by federal, state, or local laws. Our commitment to diversity, equity, and inclusion not only reflects our values as a public benefit corporation but also enriches our ability to do our work. Learn more about where we are today and hope to be by 2025. Please contact the recruiting team at recruiting@navapbc.com if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

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. _