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Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a Performance Marketing Lead to own paid user growth at Duolingo. You’ll help lead the strategy and team that bring new learners to Duolingo across 100+ markets and multiple products, including language, chess, and math. You’ll be accountable for growing high quality new users efficiently and proving the impact of that spend. You’ll partner with the Performance Marketing leadership team to shape where we invest next. 🧠  You will... Own Duolingo’s paid user growth goals, setting the strategy for acquiring new users who stay and learn. Lead and develop a team of performance marketers, setting a high bar for craft, rigor, and ownership. Run user acquisition across platforms such as Google UAC, Meta, TikTok, AppLovin, and programmatic partners, plus channels in China. You’ll decide where to scale, hold, or pull back as efficiency changes. Measure what user growth spend actually drives, using incrementality testing, saturation analysis, and new user quality metrics such as retention. Build creative testing at scale with agency, creator, UGC, and in house partners, and use results to shape what gets made next. Manage and hold agency and ad tech partners accountable for goals, pacing, and quality of execution. Flex spend with the organic calendar, partnering with Social, Brand, and Country Marketing around product launches, seasonal swings, and viral moments. Partner with Product and Engineering on measurement infrastructure, onboarding for paid users, and tests that connect acquisition to retention. Turn performance into clear recommendations for marketing leadership, including what isn’t working. ✅  You have... 8+ years of experience in performance marketing or paid user acquisition, with a focus on large scale, global mobile acquisition campaigns. 3+ years leading teams of performance marketers. A track record of owning a large, multichannel performance budget and taking channels from test to scale. Hands on experience with incrementality tests, saturation analysis, and LTV and ROAS models. Deep knowledge of the mobile user acquisition ecosystem, including attribution technologies and iOS privacy frameworks such as SKAN. Experience partnering with Product and Engineering teams on performance marketing. The judgment to recommend cutting or reallocating spend when returns don’t support it. Clear, concise written communication, from channel detail to leadership level recommendations. ⭐  Exceptional candidates will have... Experience leading user acquisition for a top subscription based mobile app or a high engagement consumer app with millions of daily users. Experience running acquisition in China or other markets with distinct ad ecosystems. Experience growing users across multiple products or apps. Experience scaling creative through UGC agencies, creator marketplaces, or creator networks. A passion for Duolingo’s mission to make education universally accessible. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $163,200 — $244,800 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Remote, New York, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the New York City metro area. Technologies You’ll Use SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. What You’ll Do Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria Design enterprise-grade data transformation and analytics architectures using dbt Partner with Sales to communicate the technical and business value of the dbt platform Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate Build trusted relationships with technical practitioners, data leaders, and executive stakeholders Guide customers through technical architecture, security, governance, and deployment considerations Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community Skills We’re Looking For 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling Strong understanding of modern cloud data warehouse, lake house, and analytics architectures Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams Bonus Skills​ Experience with dbt or analytics engineering Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $219,463.15 — $274,329.23 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11503 Technical Operations & Administrative Virtual Assistant Independent Contractor – CPT-11503 Technical Operations & Administrative Virtual Assistant/Business Support VA/Junior-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A mechanical division within an insurance claims consulting company is seeking a technically minded Virtual Assistant to work directly with the division manager and support a team of engineers and technical professionals. The VA will assist with technical report review, spreadsheet creation, document formatting, email monitoring, file organization, and recurring administrative coordination. An engineering background is preferred because many of the reports involve mechanical systems and technical construction topics. However, candidates with relevant construction or technical industry experience should also be considered. The client will provide hands-on training on company-specific processes and review work before it is finalized externally. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Technical Report & Document Support Review technical reports for completeness, consistency, formatting, and obvious errors Assist with corrections and revisions based on client direction Understand the general technical context of reports rather than reviewing solely for grammar Format reports and supporting documentation Review and organize technical documents Prepare documents for the manager's final review Ensure completed materials follow established internal standards As familiarity with the business develops, assist in drafting technical reports using the manager’s notes, findings, and instructions, subject to the manager’s review and approval. Review incoming reports and update emails for completeness, required information, consistency, grammar, and formatting. Flag unclear technical details, questionable information, or inconsistencies for the manager’s clarification. Excel & Data Support Create and maintain advanced Excel spreadsheets Organize and manipulate technical and project data Format spreadsheets and reports for internal use Assist with calculations and recurring data-management tasks Prepare organized information for manager and team review Review spreadsheets and reports for missing information, inconsistencies, and obvious numerical discrepancies; flag potential issues for review. Executive & Team Support Serve as a direct administrative assistant to the Mechanical Division Manager Monitor the manager's email and flag important items Assist with email organization and recurring follow-up Support six additional technical team members as directed Track outstanding documents and assignments Help ensure work is properly organized before routing through the manager for final review Monitor the manager’s incoming emails throughout the workday, flag urgent or important messages, and bring matters requiring attention to the manager’s notice. Track and follow up on outstanding requests, assignments, and responses across the manager’s team of approximately six members. Follow up with team members to ensure requests are acknowledged and tasks are completed, particularly when the manager is traveling. Help maintain timely responses to clients and colleagues in line with the company’s emphasis on prompt customer service. File & Document Management Upload and organize files within OneDrive Maintain consistent folder and document organization Save and retrieve reports, attachments, and supporting materials Assist the manager with remote access to organized information while traveling Maintain current versions of documents and reports Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Engineering, construction, or related technical background strongly preferred Civil, mechanical, electrical, or similar engineering education/experience is a strong plus Construction-industry experience may substitute for direct engineering experience Strong Microsoft Excel skills required Strong Microsoft Word skills required Adobe Acrobat/PDF document-management experience preferred Technical report or document-review experience preferred Strong file-management and organizational skills Excellent English communication IDEAL CANDIDATE PROFILE Technically minded with strong analytical ability Highly proficient with Excel Strong attention to detail Comfortable reading technical or construction-related documentation Organized and dependable Able to identify inconsistencies and formatting issues Comfortable working directly with engineers and technical professionals Able to learn company-specific reporting processes Strong spoken and written English Comfortable working independently after hands-on training APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Microsoft Excel Microsoft Word Microsoft Outlook Microsoft OneDrive Adobe Acrobat or Similar PDF Software Microsoft 365 Work Schedule Contracted Hours per Week: 30 Hours (Expected to increase to 40 hours/week following initial training) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 9:00 AM – 4:00 PM EST (1-Hour Unpaid Lunch) Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL:  Junior, Senior, and Advanced Level Contracted Hours per Week: 30 hours/week (Expected to increase to 40 hours/week following initial training) Daily Working Time: 9:00 AM – 4:00 PM EST (1-Hour Unpaid Lunch) Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-B (Native or Near-Native English Accent Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Remote Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position This project will provide a broad range of assessment, monitoring, and evaluation (AM&E) support to DSCA. Project tasks will include desk and field research, analysis, data collection and visualization, strategy development, policy writing and coordination, and AM&E capacity building. *This role is remotely based in the continental United States and requires travel in accordance with the guidelines below. Responsibilities AM&E Analyst will support DSCA in in carrying out analyses that stay up to date with emerging AM&E techniques, tools, and approaches in specific subject matter. Provide day-to-day research, analysis, and program support services. Conduct field evaluations. Provide technical and strategic guidance on AM&E. Manage AM&E projects and tasks. Travel up to 25-50% domestically and internationally as determined by client and portfolio requirements and demands on regional team, while adhering to approved budget, cost reasonableness requirements, and all applicable corporate and federal travel regulations. Qualifications Bachelor’s degree; Three (3) years of AM&E experience, including analyzing and summarizing disparate information in a clear and concise manner, drafting data collection methodologies, creating organizational work plans based on higher-level goals, leading and coordinating multiple offices through multiple step processes without being a direct supervisor, and supporting staff with a variety of levels of knowledge and capabilities; Strong oral and written communication skills to deal effectively with mid and high level partner contacts, the host government, and local communities; Ability to apply government agency regulations and procedures related to controlled unclassified information and foreign disclosure to daily work requirements; Excellent computer skills, including word processing, spreadsheet programs and data base management; Five (5) years of AM&E or capability-based-assessment (CBA) or other types of experience in one or more of the following subject matters: counterterrorism operations; Counter-weapons of mass destruction operations; counter-illicit drug trafficking operations and counter-transnational organized crime operations; maritime and border security operations; military intelligence operations and Operations or activities that contribute to an international coalition operation that is determined by the Secretary to be in the national interest of the United States; air domain awareness operations; cyberspace security and defensive cyberspace operations; humanitarian assistance and demining; smallscale construction associated with any of the above mission areas; Security Sector Governance (both across each of the above program areas as well as through distinct programs focused solely on Security-related institutions that span these broad program areas); DoD Secret clearance. Preferred Qualifications Five (5) years of experience and knowledge of public policy and operations, Five (5) years of experience planning, designing and implementing assessment, monitoring and evaluation programs or projects in the security sector for a national organization, an NGO/IGO, the UN, or private industry; Master’s degree (or higher) and formal training or education in the field of assessment, monitoring, and evaluation; One to three (1-3) years of experience planning, executing, or overseeing policy or guidance for SC activities implemented under sections 332, 333, 1263, 342, 345, 401, or 2561 of Title 10, Chapter 16 Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $80,000 — $100,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: High Point, North Carolina Lumos is looking for an Operations Service Technician I to bring the future of connectivity to our customers. In this role, you'll be responsible for installing, testing, and maintaining services and equipment in homes and businesses. Technicians set up fiber facilities, including Multi-Ports, and remove company-owned ONTs as needed. You will handle provisioning, testing, maintenance, and troubleshooting of GPON/PON, routers, switches, DSL equipment, and more. Additionally, you’ll install cross-connects at cross-connect and LCC cabinets for fiber circuits. Working onsite with customers and in collaboration with our Service Operations Center (SOC), you’ll play a key role in ensuring seamless connectivity. ***Hybrid Position - dispatches to customer sites in accordance with daily schedule.*** Why Lumos: Lumos is transforming the future of connectivity by building one of the nation's fastest-growing 100% Fiber Optic networks. Through T-Fiber, our joint venture with T-Mobile, we're working toward a shared goal of connecting 12 to 15 million homes by 2030 while expanding access to reliable, high-speed internet in the communities we serve. Here, you'll find more than a job, you'll have the opportunity to make an impact, take ownership of your work, and help shape how we grow. We move quickly, collaborate across teams, and believe the best ideas come from people who are curious, solutions-oriented, and ready to build what's next. What You'll Do: Installs & troubleshoots basic Voice, Data, and Video services on fiber networks. Perform data entry tasks on computers: updating trouble tickets, processing orders, completing timesheets, provisioning systems & equipment, and updating internet service. Provisions & configures Wi-Fi: SSID settings, Guest Network Access & wireless firewall options. Troubleshoots and resolves wireless connectivity issues. Installs and troubleshoots customer on-premise equipment (e.g., residential gateways, routers, switches, security systems, and station wiring). Installs and troubleshoot circuits (e.g., Voice, Broadband). Performs other duties as assigned, including departmental & cross-functional projects. Training Components – Technician I (Non-Inclusive): Training may include Zhone, SmartRG, AirTies, cabling and testing, Light Level Meter operation, and other relevant training as deemed necessary. What You'll Bring: 0+ years of related experience. High School Diploma or equivalent required. Valid, fully unencumbered Driver’s License required. Must reside within 30 minutes of the normal reporting location, including home-based work locations. Experience interacting directly with customers to troubleshoot and resolve issues. Experience using MS Office Suite. Available for various schedules, including weekends, holidays, overtime, and on-call duties as needed. What Makes You a Great Fit: Fiber or Telecom industry experience preferred. Strong verbal and written communication skills. Safe driving record. Ability to understand and use technical documentation. Detail-Oriented and Quality-Driven: Committed to accuracy and thoroughness, proactively seeks and applies feedback for continuous improvement, and consistently monitors work to uphold and enhance quality standards. Physical Requirements: Ability to climb utility poles (where applicable) and work at heights. Utilize handle extension and stepladders as required. Ability to work in attics, crawl spaces, and confined areas. Capable of lifting and transporting 50 lbs. over a distance of 50 feet. Near-constant use of sight, speech, hearing, comprehension, and reasoning. Benefits & Perks: Our commitment to communities includes recruiting and rewarding the Lumos team members who are working together to build a brighter tomorrow. We have: Comprehensive health, dental, and vision coverage. Competitive compensation packages, including bonus options for eligible positions. Paid Time Off & Paid Holidays. Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs). 100% employer-paid life and disability insurance. Employee Assistance Program (EAP) with access to professional support for life’s challenges. 401K plan w/ up to 5% employer contribution and a self-directed brokerage option. Wellness program offering education and cash incentives for gym attendance and nutrition programs. Employee referral bonuses. Discounts on Lumos Fiber Internet for employees who live in our service areas. Discounts on T-Mobile wireless service and select features for lines. Applicant Eligibility Notice: Applicants must be at least eighteen (18) years of age at the time of application. At Lumos we recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. We have a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We will provide reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws.

Location: San Francisco; New York Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Director of Platform Engineering to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model. About the Team We’re looking for a Director of Platform Engineering to lead the teams responsible for the core infrastructure and platform services that power Patreon’s product and ecosystem. This role is ideal for a senior engineering leader who has: - Scaled a consumer, UGC, or marketplace platform to millions of users - Led infrastructure and/or platform teams supporting product engineering at scale - Operated in environments with high availability, bursty traffic, and complex distributed systems You’ll partner closely with Product, Security, Data, and Product Engineering leaders to ensure Patreon’s platform is reliable, scalable, and developer-friendly. About the Role - Lead and grow multiple Platform & Infrastructure Engineering teams, including backend services, APIs, developer platforms, reliability foundations and AI enablement - Own the technical strategy and roadmap for scaling Patreon’s platform as usage, content, and integrations grow - Drive platform initiatives across: - Core backend services & APIs - Service reliability, availability, and performance - Platform scalability and capacity planning - Internal developer tooling and productivity - Partner with product engineering teams to enable faster feature delivery while maintaining platform stability - Establish strong operational excellence (on-call, incident response, SLAs, SLOs) - Hire, develop, and mentor senior engineering managers and technical leaders - Communicate clearly with executives and cross-functional partners about risks, tradeoffs, and platform investments About You Required: - 10+ years of engineering experience with 5+ years in engineering management - Experience leading platform, infrastructure, or foundational backend teams - Proven track record scaling a consumer product, UGC platform, or marketplace to millions of users - Strong background in distributed systems, APIs, and service-oriented architectures - Experience operating production systems with high availability and performance requirements Preferred: - Background in developer platforms, internal tooling, or platform abstractions - Familiarity with cloud infrastructure (AWS/GCP), data pipelines, and event-driven systems - Experience leading through major architectural transitions or scale inflection points About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. About the role We're looking for a Senior Product Designer to join our BNPL stream and design the merchant side of Tabby's core product. You'll work on the Merchant Dashboard , across web and the mobile app, the place where merchants run their business with Tabby: manage transactions, settlements and invoices, set up in-store and integrations, and use self-service tools. You'll join a newly formed Merchant Experience team with a lot of attention on it and a lot to build: upgrading core dashboard pages, launching new self-service products, running merchant experiments, and rethinking how Tabby works in physical stores. We're looking for someone who thrives on complexity, turns uncertainty into clarity, owns problems end to end, and brings strong product thinking alongside strong craft. Why join Work on the merchant side of Tabby's core BNPL product, in an area that is a current company priority A lot to build: core page upgrades, new self-service products, experiments and a rethought in-store experience Real ownership in a newly formed team: shape how the product and the team work from the start An AI-forward team where design can iterate fast and get close to code A dedicated UX writer and UX researcher to work with What you will be doing Own merchant journeys in the Merchant Dashboard end to end, across web and mobile, from early concept through polished execution Upgrade core dashboard pages such as transactions, settlements and invoices, and design new self-service tools for merchants Design clear, data-dense interfaces that make complex financial and operational information easy to understand and act on Design and iterate on merchant experiments and new features with your Product Manager, and measure what works Help reimagine the in-store experience together with product and engineering Collaborate closely with Product Managers, Engineers and our UX researcher and UX writer to identify and solve key merchant problems Use data, merchant feedback and research insights to inform design decisions and validate hypotheses Partner with designers from other B2B and B2C streams to keep the experience consistent across Tabby, and contribute to the design system Use AI tools in your day-to-day workflow: prototyping, ideation, and moving solutions closer to code Present and advocate for your work to cross-functional and senior stakeholders, ensuring clarity and alignment What you will need Proven experience designing digital products, ideally B2B, fintech, or complex data-rich tools Strong craft skills demonstrated through a portfolio, with excellent Figma skills Comfort designing across both web/dashboard and native mobile (iOS and Android) Strong product thinking: you understand business goals, product logic and user needs, and can explain the reasoning behind your decisions Ability to turn uncertainty into clarity and handle complex flows, states and edge cases A strong level of AI proficiency: you use AI tools on real project work to prototype, explore and move faster Understanding of technical constraints and the ability to collaborate effectively with engineering Confident in your work and strong communication skills, whether you're talking to another designer or a C-level executive Experience applying systems thinking and contributing to shared design systems Autonomy: you operate without close supervision and manage multiple priorities in a fast-paced environment Fluency in English Nice to have Experience in fintech or financial products Experience conducting UX research A strong base in graphic design Experience designing for GCC markets or Arabic/RTL interfaces Comfort working close to code, with interest in contributing to code through AI tools Benefits Locations We hire candidates based within four hours of Dubai time , with remote work available in eligible locations. Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain. What you can expect Flexible working hours, coordinated with your team and the needs of your role. Autonomy and responsibility from day one. Opportunities to grow through the quality and impact of your work. Participation in our employee stock option program. We’re committed to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals. If this sounds like the right opportunity for you, we’d love to hear from you.

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team The People Services team is the heartbeat of our Global People Operations, driving the employee experience across three of the world’s most iconic local commerce and delivery platforms: Deliveroo, DoorDash, and Wolt. Operating behind the scenes of this massive multi-brand ecosystem, our team delivers seamless, world-class frontline HR support and administrative excellence to thousands of employees and Managers globally. We thrive on operational precision, navigate complex local labor landscapes with ease, and build the scalable HR infrastructure that allows our teams to innovate and grow at speed. About the Role We are seeking a proactive and detail-oriented People Services Advisor to join our growing People Operations team in Hyderabad. This is an exciting opportunity to help establish and scale our brand-new India hub during a period of rapid expansion. In this role, you will be the backbone of our frontline HR support, delivering efficient administrative services to employees and managers across the region. As a primary point of contact for HR inquiries, you will ensure a seamless employee experience while maintaining accurate records in full compliance with local labor laws and company policies. This role offers a hybrid work arrangement, requiring you to be in the Hyderabad office at least 3 days per week and giving you the flexibility to work remotely for the remaining 2 days. You will report to the People Services Manager on the Global People Services team. What you’ll be doing Act as a confident and empathetic first line of support for employees, managers and stakeholders, translating complex HR processes into clear, accessible language Own the ticket escalation process on our case management platform: monitor incoming cases, assess urgency, collaborate with the relevant teams, and escalate complex issues to the appropriate HR specialist or HR Manager where required, managing high volumes efficiently without compromising accuracy or response times Execute full cycle, end-to-end HR administration while maintaining accurate and up-to-date employee records, ensuring HRIS (Workday) data integrity and confidentiality, including but not limited to: Onboarding: preparation of employment contracts and new hire documentation, medical insurance registration and new joiner orientation, supporting high-volume hiring and acting as the key point of contact across HR, IT, facilities and hiring managers for a smooth first day Offboarding: processing resignation and termination paperwork and conducting exit administration Employee lifecycle: accurately processing high volumes of employee data changes (e.g. job changes, promotions, transfers, salary adjustments) and supporting leave and absence queries Support payroll preparation, ensuring records are accurate and processed in a timely manner, particularly during high-volume payroll cycles Prepare HR-related letters, certificates and other documents as required (e.g. employment verification and salary certificates, relieving and experience letters) Provide accurate and timely reporting on key people metrics and support the preparation of HR data dashboards for relevant teams, to enable data-driven decision-making across the business Collaborate with Government Relations, COEs, HRBPs, Talent Acquisition and IT on India statutory and regulatory requirements and any other queries on request, proactively keeping stakeholders informed Stay current with changes and emerging trends in India Labour Law, ensuring all HR administrative activities comply with India Labour Law, company policies and data protection requirements (including the Digital Personal Data Protection Act and GDPR principles) Identify opportunities to streamline HR administrative processes and contribute to continuous improvement initiatives within the People Services function Support the development and documentation of HR processes and procedures with a focus on scalability for high-volume periods, identify opportunities to use AI to address inefficiencies, and proactively recommend improvements Any other tasks as directed by your Line Manager Requirements 2–3 years’ proven experience in a similar role, preferably in India Strong understanding of standard HR administration processes and best practices Foundational knowledge of India Labour Law Experience using Workday desirable Great stakeholder management skills, proactively keeping all stakeholders up to date Excellent organisational skills with a strong ability to manage multiple tasks and priorities Exceptional attention to detail and accuracy in data entry and document preparation Strong communication skills (both written and verbal) in English, able to adapt your style depending on the audience Proficiency in Hindi and/or Telugu is a plus Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Troy, MI Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. The Opportunity: Driving better future mobility VS (Vehicle component Solutions) Company ( https://www.lg.com/global/mobility ) of LG Electronics focuses on commercializing environmentally responsible automotive components and core solutions based on LG’s proprietary technologies. A leading provider of core components for global car manufacturers, VS Company is supporting the emerging trend of the vehicle industry. Responsibilities: •Lead and manage the Sales & Operations Planning (S&OP) function, ensuring alignment between customer demand, material availability, production capacity, and business objectives. •Develop and oversee demand, supply, inventory, and revenue planning processes across daily, weekly, monthly, quarterly, and annual planning horizons. •Serve as the primary liaison between customers, manufacturing plants, warehousing providers, and internal stakeholders to ensure seamless supply chain execution. •Establish and maintain effective communication channels with customers to support service excellence and proactive issue resolution. •Direct material planning and fulfillment activities, ensuring timely delivery of production materials and finished goods through third-party warehouse operations. •Oversee supply chain support for multiple OEM customers, including production material movements, shipment coordination, and inventory management. •Manage material breakpoint planning and implementation for new product launches, engineering changes, and material transitions. •Review and incorporate Engineering Work Order (EWO) outcomes into material and supply plans to support operational readiness. •Develop contingency and risk mitigation plans to address material shortages, production disruptions, and supply chain constraints. •Lead procurement activities for production-related materials and components, including issuance and management of purchase orders. •Collaborate with customers, Tier 1 suppliers, and manufacturing facilities to resolve material, part number, and supply chain discrepancies. •Oversee shipment planning and execution, including adjustments related to material status, PPAP approvals, expedited freight requirements, and customer delivery commitments. •Manage air freight and expedited shipment activities to minimize customer impact and maintain delivery performance. •Monitor inbound and outbound logistics performance through reporting tools and shipment tracking systems. •Ensure timely preparation and distribution of shipment documentation and compliance-related materials for internal and external stakeholders. •Partner with teams supporting Country of Origin and Manufacturing Affidavit requirements to ensure customer compliance documentation is maintained and communicated. •Review and approve packaging specifications from manufacturing plants to support transportation efficiency and customer requirements. •Oversee customer inventory reconciliation activities, including cumulative shipment and order balance management. •Lead obsolescence reviews with customers and support recovery of valid excess and obsolete inventory costs. •Analyze sales, supply chain, and operational data to identify trends, risks, and opportunities, providing actionable recommendations to leadership. •Prepare and present sales forecasts, revenue projections, supply chain performance metrics, and operational updates to management and headquarters. •Represent the S&OP organization in customer, sales, program management, and executive meetings, driving alignment and accountability across stakeholders. •Manage customer delivery performance, including resolution of delivery concerns, chargebacks, and service-related issues. •Lead, coach, and develop S&OP team members, fostering a culture of continuous improvement, accountability, and operational excellence. •Drive process improvements that enhance forecasting accuracy, inventory optimization, customer satisfaction, and overall supply chain performance. Other Responsibilities • Maintain regular on-site attendance at the designated work location (in office, at customer site, etc.). • Conduct work activities and/or attend occasional meetings after regular business hours when necessary. • Maintain respectful work-related interactions and communications at all times. • Adhere to all established company policies and procedures, work rules, and code of conduct. • Perform other duties as assigned. Required Qualifications: • Bachelor's degree • 5 years of people manager work experience in supply chain management/S&OP field in automotive, electronics, or manufacturing environments, working with OEMs and Tier-1 customers. • Organized and detail focused on communications and process documentation. • Ability to problem solve complex customer, vendor, warehouse & supplier issues to be a part of the solution. • Knowledge of Microsoft Office applications (Word, Excel, Outlook, Teams, etc.) • Working knowledge of ERP, MRP, and WMS; ability to interpret complex data sets and ERP/MRP systems, translating findings into recommendations. • Highly organized and detail-focused, with exceptional skills in process documentation and written/verbal communications. Other Requirements: •Physical Requirements: Ability to independently lift and carry boxes weighing between 10–20 lbs. •Travel: Ability to travel up to 10% (International & Domestic) Preferred: • Bilingual proficiency in both Korean and English #LI-Hybrid Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York City, NY | San Francisco, CA About AI Gateway AI inference is becoming core infrastructure. Every serious application will need access to many models across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare's bet that this layer belongs at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. Developers using AI Gateway need answers to two questions. Is the model I'm calling working the way you say it does? And which model should I be using at all? You'll lead the models team that answers both. You'll start with model operations. That's the work behind every model in the catalog: provider integrations, capability testing, pricing and metering, capacity, security reviews, docs, health, and deprecations. Sometimes a launch needs to go live within minutes of a lab's announcement. Sometimes the right call is to hold it. Cloudflare is an infrastructure company at heart, so reliability and accuracy come first; speed comes from preparation and automation. Then you'll bring model intelligence online. That means turning what we learn from Gateway traffic into decisions for customers: capability maps, per-task rankings, auto-routing profiles that pick the right model for each request, evals and regression detection, and market intelligence developers can trust. This is a people-management role reporting to the AI Gateway Engineering Manager. You'll hire, develop, and lead the team, and you'll stay hands-on: writing code, building agent-driven workflows, and getting into the details of a failed launch or a suspicious eval SLO. Expect to manage people, projects, model stock, and operations all at once. About the Role Build and lead the models team: Hire, coach, and grow the people who run the catalog today and build its intelligence over time. Give people real ownership, give direct feedback, and grow leads who can run their own areas. Run model launches end-to-end: Scope integrations, coordinate testing and evals, confirm pricing, metering, capacity, and security, and get docs and announcements ready. Prepare day-zero launches in advance so they can ship in minutes. Keep the catalog true: Make sure what we publish (capabilities, limits, versions, prices) matches what developers actually get. Catch silent regressions, such as broken tool calling, truncated streams, quantization changes, or usage and pricing mismatches, before customers do. Build model intelligence: As it comes online, own the evals, capability maps, and per-task rankings behind our auto-routing profiles and model recommendations. Make sure they measure what they claim to, and connect regressions to routing decisions so customers who chose "auto" aren't the ones who discover a problem. Treat the catalog and intelligence as products: Have a point of view on which models belong in the catalog, which routing profiles to ship, and what market intelligence to publish. Base it on usage, quality, reliability, and cost data. Turn what you learn into roadmap input. Run a lightweight operating cadence: Keep one source of truth for what's in flight, who owns it, what's blocked, and what ships next. Keep Engineering, Product, Partnerships, and other stakeholders aligned and informed without status meetings. Automate relentlessly: Turn repeatable steps into scripts, tools, and agent workflows: endpoint validation, eval runs, catalog and pricing reconciliation, regression detection, and provider follow-ups. Manual effort per launch should fall as the catalog grows. Responsibilities Day-Zero & Quality Launches: Ensure new models launch on day zero with tested capabilities, accurate pricing, docs, and a clear call on routing eligibility. Catalog Reliability & Health: Ensure the catalog reflects reality, and proactively identify when a model or provider is underperforming before customers notice. Auto-Routing & Optimization: Deliver auto-routing that measurably beats a fixed model choice on cost or quality for users. Developer Trust & Methodology: Build and maintain trusted rankings and recommendations grounded in solid methodology. Partner & Stakeholder Management: Set clear expectations for providers, while keeping Engineering, Product, Partnerships, and other stakeholders aligned. Team Leadership & Growth: Provide clear ownership and direction so the team knows what's next, who owns it, and how to grow into bigger roles. Operational Scalability: Continually drive down the human effort required for each launch, eval, and routing update through tools and automation. Desirable Skills, Knowledge, and Experience People Leadership: Experience hiring, managing, and growing engineers or operators, giving direct feedback, delegating real ownership, and expanding scope without becoming a bottleneck. Technical & Shipping Capabilities: Proven track record of taking technical launches or integrations from ambiguity to production across teams and partners. Hands-on ability to write TypeScript, Python, or Rust, read API docs, inspect endpoints, and debug using terminal tools (logs, cURL). Model Ecosystem Expertise: Deep familiarity with new models, labs, and inference providers. Hands-on understanding of streaming, tool calling, structured outputs, rate limits, token pricing, and provider-specific model behavior variations. Product & SRE Mindset: Data-driven product instincts to advocate for adding, modifying, or retiring catalog items. SRE approach to defining, measuring, and alerting on service health, managing incidents calmly, and fixing root causes. Agent Workflows & Detail-Oriented Execution: Daily experience building with agents—scoping work, verifying outputs, and integrating deterministic checks or human judgment appropriately. Meticulous attention to detail regarding model IDs, context limits, per-token prices, and response fields. Bonus Qualifications (Nice to Have): Experience at an inference provider, model lab, model router, eval platform, or API company. Background in evals, ranking/recommendation systems, observability, metering, or usage-based billing. Familiarity with Cloudflare Workers, AI Gateway, Workers AI, or Replicate. Relevant domain backgrounds in engineering management, SRE, partner engineering, evals/applied ML, technical program management, or solutions engineering. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $230,000 - $317,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $275,000 - $303,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid/Remote - Europe (incl. UK); Estonia (remote); Switzerland (remote); Bulgaria (remote); Serbia (remote); Luxembourg (remote); France (remote); Paris (on-site); Norway (remote); England (remote); Croatia (remote); Sweden (remote); Scotland (remote); Slovenia (remote); Czechia (remote); Florence (on-site); Milan (on-site); Spain (remote); Romania (remote); Netherlands (hybrid); Ukraine (remote); Austria (remote); Denmark (remote); Ireland (remote); Slovakia (remote); EU (remote); Leuven (on-site); Belgium (remote); Northern Ireland (remote); Athens (on-site); Amsterdam (hybrid); Lithuania (remote); UK (remote); Hungary (remote); Finland (remote); Poland (remote); Wales (remote); Germany (remote); Eindhoven (hybrid); Moldova (remote); Albania (remote); Greece (remote); Zurich (on-site); Portugal (remote); Bristol (on-site); Italy (remote); Latvia (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 21 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Senior/Staff Software Engineer in the Model Enablement team, you will build our model enablement platform and decide how each model runs across the Metis or Europa AIPU, the host CPU and the host's accelerators. How this work is split and scheduled determines most of the end-to-end performance a customer sees in the Voyager SDK. The role combines architecture and hands-on work across the model frontend, the graph compiler, the runtime and the application pipeline. During model bring-up, you cover the frontend and graph side, and a device-side engineer covers the backend. Our team uses AI coding agents in daily work, and you will use them to build, test and verify your own work. We also welcome experienced field application engineers, technical leads and engineering managers who want to return to hands-on engineering. Experience in planning, delegating and reviewing work transfers well to working with AI agents. Key responsibilities: - Model enablement platform and agent harness: Build the platform that engineers and AI agents use to bring up models: reusable tools to partition, compile, run and profile; environments with access to real hardware; closed-loop runs that apply a change, measure it against the reference and repeat; and verification (differential testing, regression detection) integrated into CI. - Model ingestion: Own how a PyTorch or ONNX model is captured, analysed and split across the AIPU's matrix and RISC-V vector units, the host CPU and the host's accelerators (GPU, NPU, video decoder), with placement tags that users can read and override. Build this with the graph compiler team so it works for every model. - Heterogeneous execution: Extend that split to large models, cascades and multi-model pipelines, for example with expert offloading and caching across device and host memory. Agree the plan with the graph compiler team. - End-to-end performance: With the application team (pipeline builder) and the runtime team, bring each model to its best end-to-end performance: overlap of host and device work, zero-copy buffers, batching, multi-core scheduling, and models with several inputs. Profile device time, host time and data movement, and confirm each speedup in the full pipeline. - Critical models: Study the models that matter most to customers, on Metis today and on Europa, and turn each lesson into a platform improvement. Qualifications: Essential - 8+ years of engineering experience in systems, compilers, runtimes or performance, including system-level design ownership. - Hands-on experience with heterogeneous computing across CPU, GPU, DSP, NPU or FPGA, including reasoning about compute, memory bandwidth, latency and data movement. - Solid fundamentals in computer architecture, operating systems and parallel programming. - Familiarity with ML graph representations and compiler concepts: graph capture (torch.export, FX, ONNX), lowering, operator fusion, partitioning, memory planning. - Strong C++ and Python. - Daily use of AI coding agents on real engineering work, with the judgment to review and test their output. Preferred - Hands-on experience with MLIR or another compiler framework (TVM, XLA, TorchInductor, IREE). - Experience with an inference runtime or execution engine (ONNX Runtime execution providers, a custom NPU or DSP runtime). - Experience with GPU compute (CUDA, OpenCL, Vulkan) or SIMD optimization on Arm or x86. - Experience with large-model execution techniques such as offloading, expert caching, speculative decoding, pipelining across devices. - Experience building agent environments, evaluation harnesses or verification frameworks (differential testing, regression detection), or MCP-based tooling. Location We offer a flexible working arrangement, with options to: - Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. - Work fully remotely from any European country (incl. the UK) you are already in. - Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven). Kindly note that priority will be given to candidates who are [interested in being] based in Belgium or Italy. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Platform Engineer Location: New York City, Madison Square Park area Reports to: Head of Engineering Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. As a Platform Engineer, You Will Build Core Platform Services Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway. Enable Enterprise Deployment Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments. Own Infrastructure and Delivery Systems Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices. Build for Reliability Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability. Establish Observability Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting. Build FinOps Visibility Develop telemetry that tracks model and compute costs by tenant. The Anti-Sell Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services. Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Deployment complexity: The platform must operate across client cloud accounts, dedicated instances, and sovereign environments. Team accountability: The platform must be observable, operable, and maintainable by the team rather than dependent on one individual. Our Enterprise AI Platform Engineers Typically Have Production platform engineering experience: Six or more years of platform or infrastructure engineering experience supporting production SaaS. Customer-controlled deployment experience: Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment, or an air-gapped environment. Strong software engineering depth: Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the ability to read and work across the others. Cloud and infrastructure expertise: Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes, Helm, Terraform or Pulumi, and GitOps. Reliability and observability ownership: Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog. Data and platform systems experience: Familiarity with Postgres, object storage, queues, and vector stores. Candidates whose experience is limited to cloud operations or ticket-queue DevOps without software engineering, or who have never operated multi-tenant systems, will not be a fit for this role. Top-Tier Candidates Will Have Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton. Experience implementing SOC 2 controls in CI. Experience deploying and operating AI systems in regulated or highly controlled environments. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: London, United Kingdom Workplace: hybrid Senior Applied Researcher will own well-defined marketplace efficiency problems end-to-end, from problem formalisation through modelling, deployment, and production monitoring. You will operate independently on complex problem areas, make explicit trade-offs between competing objectives, and partner closely with engineering to deliver robust, scalable solutions. Key Responsibilities Conduct in-depth market research and analyze trends to identify opportunities for marketplace growth and optimization Develop and refine metrics, dashboards, and KPIs to monitor market performance and guide strategic decisions Generate and validate hypotheses to address key market challenges, presenting insights and actionable recommendations to stakeholders Investigate anomalies and deviations in key metrics, identifying root causes and proposing solutions Build predictive models and advanced analytics frameworks to forecast market trends and inform resource allocation Skills, Knowledge and Expertise 4–7 years of industry experience in data analytics, data science, applied research, or PhD + 2–4 years post-PhD in industry End-to-end ownership of individual marketplace models, policies, or decision mechanisms Strong judgment in trading off model fidelity, latency, robustness, and business impact Proven ability to move from abstract problem formulation to production-grade decision logic Hands-on experience collaborating with engineering teams on deployment, iteration, and monitoring Demonstrated ability to reason about system behavior under uncertainty, delayed feedback, and partial observability Modeling supply-demand dynamics as stochastic, partially observed, feedback-driven systems; formalizing unit economics, service quality, and LTV as state variables and objectives Design and analysis of experiments under interference, spillovers, feedback loops, and adaptive policies (e.g., switchbacks, clustered interventions) Practical experience with DiD, panel methods, synthetic control, double-robust estimators, and causal ML approaches in production settings Ability to distinguish short-term experimental uplift from long-run equilibrium shifts and cumulative feedback effects using time-series and dynamic causal methods. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Company Deliveroo is a multi-award winning, international food business and one of the most successful recent technology companies to come out of the UK.  We are on a mission to transform the way customers eat, just as Airbnb has for travel and Amazon has for e-commerce. Our aim is to bring great food to customers as fast as possible and in less than 30 minutes. Whether you want Pad Thai in the evening, a salad at lunch or forgot some key grocery items, we’ve got it covered. The Team The Small Medium Business (SMB) teams are responsible for Deliveroo’s relationships with thousands of independent restaurant and retail partners that operate on the Deliveroo marketplace in a number of markets across Europe, ensuring that they continue to grow and operate efficiently. The SMB team spans the full life-cycle of partner interactions from initial acquisition, on-boarding, reactive support and proactive account management. The Sales team is the start of our funnel, consisting of inbound and outbound teams for all of Deliveroo’s EU markets (UK, Ireland, France, Italy and Belgium), across the restaurant, grocery and retail verticals. The Role As a Sales Operations Manager you will oversee and develop high-performing operational teams while designing and delivering long-term strategic frameworks to enhance commercial performance. As an Operations Manager, you will work closely with the function leads to ensure the operation is both efficient and high performing. You will strive for excellence by understanding stakeholder requirements and support on delivering operational initiatives that drive performance. Based in Manchester, 3 days a week onsite. Core Responsibilities Operational Leadership Guide daily activities across operational functions, ensuring quality and quantity of sales volume, adherence to performance targets, and seamless cross-team collaboration Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in delivering the right partner outcomes Coach, mentor, and develop team members, cultivating an inclusive and accountable environment focused on continuous improvement. Strategic Planning Define and translate medium to long-term strategies into actionable business plans that drive commercial objectives—such as revenue growth, profitability, and efficiency. Monitor KPIs and financial metrics, using insights to adjust processes, manage risk, and support strategic decision-making and effective planning processes Collaborate with senior leadership to align commercial strategy with operational capabilities and resource allocation Stakeholder Engagement & Communication Drive transformation and continuous improvement initiatives, integrating new technologies and operational models that support commercial targets. Communicate strategic plans, performance trends, and operational insights to executive teams, commercial partners, and frontline staff What You’ll Be Doing Supporting the day-to-day Contact Centre operations ensuring the teams are set up for success in order to deliver our monthly, quarterly and annual commercial objectives Designing and implementing new strategic initiatives across the centre ensuring cross functional alignment and coaching teams to embed new ways of working. Delivering the operational strategy for the EU hub, ensuring local programs are executed efficiently including but not limited to implementation of product launches, identifying skill gaps, creating and implementing local incentives that drive performance. Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in acquiring new partners Partnering with the central teams to build robust plans that support driving change in the hub; through better engagement, improved efficiencies or increased capabilities. Acting as a mentor and senior lead to junior Team Leads. Collaborate with Learning and Development to ensure content of training materials and programmes is of maximum value to staff The Candidate This is a fast-paced role which will require an individual that can balance a number of competing priorities whilst remaining focused on core performance indicators. The candidate will be passionate about delivering initiatives that drive performance across the operation and will be someone who is innovative in their approach. The successful candidate will have a keen eye for detail and will be someone who has strong stakeholder management skills. The required skills include: Good organisational skills with the ability to balance multiple priorities in a live operational environment Strong written and verbal communication skills Proven ability to lead and deliver complex plans against deadlines ensuring a clear prioritisation model is implemented Strong eye to detail with proven ability to think outside of the box in order to create long term solutions A self-starter; proactive & always thinking of what the next step needs to be in order to future proof Exceptional stakeholder management, with resilience & maturity to face challenges from senior members of the business & deliver a positive outcome The desired experiences include: Minimum 3 years of experience in function that is focused on driving performance improvements Minimum 5 years in people leadership roles Experience working within Contact Centre environments Experience within high velocity sales management role, able to gain insight from the ear test as well as through data and feedback Why Deliveroo? Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, seeking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .