Вакансии

Location: Maryland Workplace: Remote 100% remote | W2 employment | $40 - $54/hour | Flexible Scheduling (It is required to hold a state license in MD) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$54/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: Colorado Workplace: Remote 100% remote | W2 employment | $40 - $56/hour | Flexible Scheduling (It is required to hold a state license in CO STATE, or be open to obtaining that state license.) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$56/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: New Jersey Workplace: Remote 100% remote | W2 employment | $40 - $58/hour | Flexible Scheduling (It is required to hold a state license in NJ) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$58/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: Tennessee Workplace: Remote 100% remote | W2 employment | $40 - $54/hour | Flexible Scheduling (It is required to hold a state license in TN) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$54/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: Texas Workplace: Remote 100% remote | W2 employment | $40 - $54/hour | Flexible Scheduling (It is required to hold a state license in Texas and be previously enrolled in Texas Medicaid). Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$54/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: Massachusetts Workplace: Remote 100% remote | W2 employment | $40 - $58/hour | Flexible Scheduling (It is required to hold a state license in MA) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$54/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: Virginia Workplace: Remote 100% remote | W2 employment | $40 - $54/hour | Flexible Scheduling (It is required to hold a state license in VA) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$54/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. ⭐Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: California Workplace: Remote 100% remote | W2 employment | $44 - $58/hour | Flexible Scheduling (It is required to hold a state license in California and be located in PST.) Welcome to Expressable! We’re an SLP-founded company on a mission to expand access to family-led online speech therapy. We believe in empowering caregivers to be active participants in their loved one’s communication journey, and are proud to be certified by The Joint Commission and backed by 3,500+ 5-star reviews. ⭐ Compensation: This is a non-exempt, W2 hourly position. - Clinical rate: $40-$58/hour: Covers both direct sessions and documentation time. ⭐ Schedule and flexibility: Design your own schedule around your needs and lifestyle. Our clients typically seek services after 3:30pm weekdays and early mornings/afternoons on weekends. A minimum of 7 hours of total availability per week is required. Why SLPs choose Expressable: - AI-assisted documentation: Our clinician-built AI assistant, Scout, dramatically cuts documentation time and admin tasks - Part-time benefit eligibility: 401(k) matching, sick time, Employee Assistance Program - Growth opportunities: Expand your clinical expertise through professional development and opportunities to grow your career - Tons of free resources: ASHA-approved CEUs, library of home programs and exercises, free therapy support subscriptions, and much more - Company-provided hardware: A new Macbook + iPad for clinical care - Dedicated support teams: Specialized team for patient insurance, billing, authorizations, and more so you can focus on care - Vibrant community 250+ strong: Join a collaborative team of SLPs committed to transforming speech therapy ⭐What you’ll do: - Provide remote speech therapy sessions/evaluations for a diverse pediatric population - Develop evidence-based, personalized care plans using Expressable’s clinical tools and platform - Deliver outcomes-focused care through meaningful collaboration and caregiver engagement - Monitor client progress and adjust care plans to support successful clinical outcomes - Complete all documentation accurately and on time - Participate in required training, clinical learning opportunities, and team communication - Provide coverage for PTO and sick leave to ensure care continuity ⭐ Requirements: - CCC-SLP (ASHA Certificate of Clinical Competence) and individual NPI number - Licensed in a key state (or willingness to obtain prior to start date) - Reliable internet connection and comfort with teletherapy platforms - Minimum 1 year of post-CF experience in pediatric settings - Strong computer literacy and ability to learn new systems independently - Familiarity with insurance-based or Medicaid populations #LI-VZ1 #ZR

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Communications Insight Analyst San Mateo, CA (Hybrid) Role Overview Within Global Content Communications, the Communication Insights Analyst will help shape how PlayStation understands social performance, social audience conversation trends, sentiment across community members and press, and the impact of company communications from a media perspective, from community to brand to product and corporate. This role will blend deep hands-on analysis with strategic partnership, helping teams move from raw information to clear, actionable insights. From ongoing social listening to campaign dashboards and reporting, this position will support how Global Content Communications interprets audience response, measures communications effectiveness, and identifies opportunities to optimize strategy. The ideal candidate brings a strong analytical foundation, sharp judgment, and the ability to translate and visualize complex, nuanced data into pivotal recommendations that are useful across a fast-moving communications organization. This role will sit within the social media team and partner closely with PR and PlayStation Studios, while also collaborating with cross-functional teams across marketing, analytics, regional teams, and other internal and external stakeholders. Responsibilities Lead owned social performance reporting for SIE business priority content across PlayStation channels. This includes but is not limited to campaign, recurring, ad-hoc reports and for internal and external stakeholders. Conduct social listening/ and sentiment analysis across different audiences, helping teams understand how PlayStation is being discussed in real time and over time. Define and refine key business metrics and reporting frameworks, build analytical models, and generate predictive insights to support business strategies. Analyze large, complex datasets (social, sentiment, web, and communications) to uncover meaningful patterns, emerging themes, risks, and opportunities that can inform strategy. Collaborate with stakeholders across business units to understand needs, deliver data-driven recommendations, and implement solutions. Support recurring and ad hoc reporting across a range of communications metrics, including social performance, conversation trends, campaign and launch impact, and media coverage. Translate quantitative and qualitative data, often addressing broad or ambiguous questions into clear narratives for stakeholders, including executive-ready summaries, dashboards, presentations, etc., and reports. Help identify and refine AI-assisted workflows that improve reporting efficiency and insight development, while applying strong judgment and validation to outputs. Partner closely with PR, PlayStation Studios, Consumer Insights, Marketing, and the broader Global Communications organization to support planning, measurement, and post-mortem learning. Stay deeply attuned to the gaming landscape, audience behavior, platform trends, and cultural context that shape how players respond to PlayStation news and content. What We’re Looking For 5–7 years of experience in data analytics, audience insights, communications measurement, social intelligence, or a related field. Bachelor’s degree in statistics, mathematics, economics, or a related field preferred; advanced degree is a plus. Equivalent experience is highly valued. Proven ability to analyze large, nuanced datasets, and synthesize quantitative and qualitative data for business decision-making via automated and manual methodologies. Proficiency in analytics and data visualization/storytelling (including tools like SQL, Python, R, Tableau, Power BI). Strong written and verbal communication skills, with the ability to present complex findings clearly and persuasively to a range of audiences (including non-technical stakeholders and senior leadership). Advanced expertise in social media analytics platforms (e.g. Emplifi, Sprinklr, Sprout, etc.) and social listening tools (e.g. NetBase, Meltwater, Brandwatch, etc.), and experience working with unstructured social conversation data. Advanced problem-solving, statistical, and creative thinking capabilities. Strong Excel skills and a demonstrated ability to work through large, messy, or nuanced datasets with rigor and precision. Experience using AI tools to improve analysis and reporting workflows, with a thoughtful approach to validating outputs and protecting quality. Familiarity with ethical data handling, privacy policies, and compliance in social listening and conversational analytics. Experience measuring communications impact across social and earned channels, including sentiment, conversation analysis, media coverage, and campaign or launch reporting. Comfort working in a highly collaborative environment with multiple internal stakeholders and shifting priorities. Strong familiarity with console and/or PC gaming, gaming culture, and the broader interactive entertainment landscape. Prior experience in gaming or entertainment analytics is strongly preferred. Experience in entertainment, media, technology, or communications-focused analysis is an integral plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $136,300 — $204,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Commercial Install Base team, you will own and grow a portfolio of existing Vercel customers. You will lead the full commercial relationship across your accounts, including account strategy, pipeline generation, expansion, renewal, and retention. You will partner with developers, engineering leaders, product teams, executives, and procurement stakeholders to understand what customers are building and connect Vercel to meaningful technical and business outcomes. This is a strategic hunting role within our existing customer base. You will use product adoption, usage signals, company priorities, and thoughtful account research to develop hypotheses, create new conversations, and uncover expansion opportunities. You will also quarterback the broader Vercel team, bringing together Solutions Engineering, Developer Success, Product, and other partners to remove barriers and drive customer outcomes. Success requires commercial judgment, technical curiosity, disciplined execution, and the ability to create momentum when the path forward is not obvious. What you'll do Own the commercial strategy, retention, and growth of a portfolio of existing Vercel customers. Build account plans that identify customer priorities, key stakeholders, current workloads, risks, whitespace, and expansion opportunities. Generate pipeline through proactive prospecting, multi-threading, product usage signals, and thoughtful account research. Build trusted relationships with developers, engineering leaders, executives, procurement partners, and other key stakeholders. Run end-to-end renewal and expansion cycles, including discovery, qualification, technical evaluation, negotiation, and close. Identify customer risk early and develop clear plans to protect recurring revenue. Connect Vercel’s platform to measurable outcomes such as faster product delivery, improved performance, stronger reliability, increased conversion, and greater developer productivity. Partner with Solutions Architects to understand customer architecture, uncover new workloads, and guide technical evaluations. Mobilize Developer Success, Product, Marketing, and executive resources at the right moments to advance customer outcomes. Maintain accurate forecasts, opportunity plans, renewal timelines, and customer context in Vercel’s systems. Use AI, automation, and repeatable workflows to improve account research, prioritization, and execution. Share successful plays, customer insights, and market feedback to help the team improve. What you need We are looking for a commercially driven Account Executive who combines strong sales fundamentals with technical curiosity and a commitment to customer outcomes. In practice, this looks like someone who: Has a history of achieving revenue targets through pipeline generation, opportunity management, negotiation, and closing. Has experience owning and growing existing customer relationships, including renewals and expansion. Proactively creates pipeline rather than relying primarily on inbound demand. Can develop a point of view on an account and turn thoughtful hypotheses into customer conversations. Builds credibility with technical, executive, and commercial stakeholders. Learns complex products quickly and is curious about how modern web and AI applications are built and scaled. Can translate technical capabilities into clear business value. Is comfortable navigating ambiguity, complex organizations, and multi-stakeholder sales cycles. Demonstrates strong account planning, forecasting, and opportunity management discipline. Uses data, customer signals, and judgment to prioritize time effectively. Is coachable, collaborative, proactive, and team-first. Is resilient and energized by complex commercial problems. Bonus if you Have experience growing existing customers in SaaS, cloud, infrastructure, developer tools, or a product-led growth company. Have sold to developers, engineering leaders, product teams, or other technical buyers. Have led expansions across multiple workloads, teams, or business units. Have worked with customers navigating cloud modernization, AI adoption, or application development. Have experience in a high-growth environment where go-to-market motions were still evolving. Use tools such as Salesforce, Gong, Outreach, LinkedIn Sales Navigator, or ZoomInfo. Use AI, automation, or self-built workflows to improve your effectiveness. Aspire to coach others, own increasingly complex accounts, or grow into leadership. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $221,000.00 - $300,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KQ1 #LI-DNI Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Englewood Cliffs, NJ 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. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: As the Sr. Finance Planning Manager , you will be part of the Home Appliance B2C Planning Team and will be expected to provide support and coordination on Financial & KPI planning, performance management & measurement. You will work closely with many stakeholders both internal and external to the organization (including but not limited to Sales, Product Management, Business Manager, and other stakeholders in HQ). Responsibilities: Manage the day-to-day financial activities of the organization Review and ensure that all financial resources, transactions, systems and procedures comply with accounting principles, company policy and standards Provide support and advice to the ARC CFO in financial decision making, reviewing and approving general and travel expenses, financial analysis, reporting (AP and AR), budgeting forecasting and month end accounting closing Drive the development and implementation of our businesses' visions, strategies, and long-term strategic priorities Manage the financial success of department by meeting sales, profit, and growth goals, analyzing historical data and current trends, providing strategic recommendations to maximize opportunities & mitigate risk Develop the annual financial & KPI plans of team individuals in conjunction with top down direction and bottom up proposals Accurately, objectively and constructively evaluate performance of sales individuals via KPI development & measurement process Organize data for monthly report on KPI metrics & ad-hoc analyses, and communicate to impacted teams and leadership Participate on various process improvement activities and other special projects Foster a culture of continuous improvement by analyzing project performance data and making recommendations for process improvements Education / Experience (Requirements): Bachelor’s Degree in Business, Finance, Planning or other related fields 10 years of professional work experience in fast-paced finance, planning, project management or similar relevant experience preferred Experience creating business plans, analyses, and strategic plans Ability to develop effective working relationships with business representatives Ability to extract large amounts of data (database mining skills) and summarize that data into useful trend information Must be able to synthesize information into actionable recommendations and analyses Exceptional skillset in Excel and Microsoft Office products Experience in OLAP or other database management is a plus Bilingual (English / Korean) is required #LI-TF1 #LI-DB1 Recruiting Range $185,000 — $203,000 USD 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: Englewood Cliffs, NJ 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. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: As the Salesforce Analyst, you will work as part of the team dedicated to ensuring that we are maximizing efficiency and capitalizing on the full features and benefits of the system based on the various user group needs. We are seeking someone with excellent technical and communication skills who can interface directly with our team to understand their needs in order to administer and enhance the system accordingly. This person will serve as the go to for users; promote adoption; keep current on new releases and AppExchange solutions; provide training; and more. Additionally; the Administrator will perform basic updates; such as add/delete users; and adding basic custom fields. Responsibilities: - Manage new releases of SFDC and efficiently roll out new features. - Create and Manage Changes to the System ; modifying the system to increase benefits and usability - Create and maintain fields; views; reports; dashboards; campaigns; custom objects and other Salesforce.com objects and functions - Handle on-going customization/ alteration of Salesforce.com; including Report and Dashboard Creation and Maintenance - Maintain; enhance and create workflows; functions and configurations within the Salesforce.com environment - Proactively seek out and identify needed system changes; gather requirements from end users and proactively gather feedback from users - Manage system changes without interruption to the user and communicate system changes to the users in advance, so they understand the change and how to use it prior to implementation - Maintain System; Security and Integrity Provide support functions as needed - Map Salesforce.com hierarchy and territories in response to personnel changes - Reassign Accounts; Contacts; and Opportunities in response to personnel changes - Grant/ remove and maintain user licenses - Maintain security including sharing rules and security levels - Design; Create and maintain user roles; profiles and hierarchies - Monitor application storage usage and archive data as needed - User Assistance; Training; Adoption and Satisfaction Create and administer training to existing or new users/groups - Provide one to one training to end users on an on-going basis - Expand use of Salesforce.com – attend planning meetings; assist with determining if /how Salesforce.com can be used in new ways as opposed to purchasing a new internal system - Assist management to create processes in Salesforce.com to help monitor activities; trends; sales and leads - Monitor usage and mentor users/groups needing assistance - Be the company SME on Salesforce.com - Process Creation; Documentation and Maintenance  Data Quality; Migration and Maintenance; manage duplicate records and monitor and improve data quality - Ensure data integrity by removing unnecessary fields and data; ensuring screens; fields and workflow have accurate names and reflect current workflow Import data as appropriate - Monitor neglected accounts and contacts as appropriate and monitor and maintain exception logs for back end system integration with SFDC - Develop complex; macro driven reports to summarize system information for Senior Management Build and manage report folders for reps to improve sales efficiency Education / Experience (Requirements): Job Requirements Bachelor’s degree in Data Science, Computer Science, Industrial Engineering, or other related fields Experience with some or all of the related technologies to build analysis and drive insights from data Must possess strong analytical, critical thinking, and problem-solving abilities for identifying business needs, analyzing data, and proposing solutions. Minimum 3 years of experience in data analytics Proficiency in Korean is a preferred Recruiting Range $96,000 — $106,000 USD 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As we scale our physical product business and global footprint, data-driven operations are critical to delivering a seamless, high-quality member experience. WHOOP is hiring a Business Analytics Manager to partner with our Operations teams to create visibility, drive accountability, and unlock insights that enable better service, lower cost, and faster decision-making. This role is ideal for someone fluent in data and obsessed with uncovering operational inefficiencies that impact financial performance and the member experience. You will be empowered to shape our data infrastructure, define performance metrics, and drive change across a global ecosystem of vendors and partners. RESPONSIBILITIES - Generate and drive the strategic analytic roadmap to identify exceptions and inefficiencies across the order lifecycle — shipping delays, cost drivers, inventory inaccuracies, and service-level gaps — and translate them into actionable insights. - Own operational metrics, ensuring clarity, alignment, and regular review across stakeholders; bridge operations and finance on forecasting, spend tracking, and variance analysis to ensure operational data and financial reporting tell the same story. - Lead analytics for quarterly cost reduction initiatives, including fulfillment COGS, freight costs, and cost per contact. Partner with Finance on total cost reporting and gross margin analysis. - Contribute to S&OP reviews and Operations OKR check-ins. Deliver the data that shapes prioritization and resource allocation across the operations organization. - Partner with Operations, Membership Services, and Finance to improve accuracy, vendor accountability, and overall member experience. - Collaborate with Data Engineering to improve pipeline reliability and data access across key operational systems. - Build, maintain, and ensure accurate, reliable data assets and trusted metric definitions within our semantic layer — from data pipelines to dashboards and regular performance reviews. - Manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement. Ensure each analyst has clear workstream ownership and the context they need to proactively identify problems. QUALIFICATIONS - 6+ years of experience in analytics, operations, supply chain, fulfillment, or logistics in a consumer business (eCommerce, hardware, CPG, or retail preferred). - Experience managing or mentoring analysts. You should enjoy coaching and have a perspective on how to grow early-career analysts into workstream owners. - Strong business judgment and ability to connect operational data to cost, experience, and strategic priorities. - Proven ability to operate at both strategic and tactical levels and context-switch between them without dropping quality. - Comfort representing analytics in cross-functional settings and demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights. - Proficiency in SQL; experience with dbt, Snowflake, or similar ELT/data warehouse platforms. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.  These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco Bay Area, CA Workplace: onsite Overview Get Paid to Help Shape the Future of Technology  We are building a community of participants for upcoming in-person data collection projects in San Francisco Bay Area. These projects help improve the next generation of smart devices and technology and we are looking for everyday people to take part.  No experience is required. No special skills are needed. Simply attend your scheduled session, follow a few simple instructions, and get paid for your time.  What You'll Do  Participants take part in short, moderated sessions involving simple, everyday activities such as walking, sitting, or moving through a space while smart devices record the session. A friendly moderator guides you through every step. A trained moderator will guide you through the entire process.  Project Details Job Type: Freelance/Independent Contract Time Commitment:Approximately 1 hour Location:San Francisco Bay Area (On-site) Project Type: Short-term, paid, in-person research sessions   Who Can Apply?  We welcome people of all ages and backgrounds from across the San Francisco Bay Area. To participate, you should:  Adults and minors are eligible (participants under 18 require parent/guardian consent)  Be comfortable following simple instructions in English (non-native English speakers are welcome).  Feel free to register with friends or family, you are welcome to participate together. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.       About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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, NY | San Francisco, CA About the Role 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 should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product. Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements. Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads. Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence. Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter. Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority. Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise. Desirable Skills, Knowledge & Experience 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems. Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs. Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter. Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code. Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful. Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production. Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable. Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers. Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale. Hands-on experience with proxy, edge, gateway, routing, or traffic management systems. Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice. Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads. Experience with TypeScript, Go, Rust, or similar systems/backend languages. You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship. You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing. A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 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.