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Location: Pune, India About Flosum Flosum is at the forefront of innovation in the Salesforce DevOps ecosystem. Our comprehensive, Salesforce-native solution integrates version control, continuous deployment, automated merge tools, and deep code analysis—enabling development teams to move faster with confidence. Beyond DevOps, Flosum offers enterprise-grade Disaster Recovery and a cybersecurity framework purpose-built for Salesforce, empowering organizations to fully embrace DevSecOps. Our platform is trusted by developers, architects, admins, and CIOs to meet both technical and compliance demands—all within the Salesforce ecosystem. If you’re excited by the idea of contributing to a high-growth SaaS company with proven impact and powerful technology, we’d love to meet you. About You You’re an energetic, curious, and results-oriented individual eager to grow your career in tech sales. You’ve had early success in prospecting or sales development and are already used to carrying a quota and exceeding targets, now is the time to take your game to the next level. You thrive in fast-paced environments, are highly coachable, and bring both grit and empathy to your work. You are: Driven, self-motivated, and excited to learn. Organized and detail-oriented—able to manage your time and leads effectively. Collaborative and team-minded, with strong interpersonal skills. Comfortable with ambiguity and resourceful when facing challenges. Passionate about starting a career in SaaS or the Salesforce ecosystem. Bonus Points If You Have: Salesforce certifications or admin experience Familiarity with tools like Outreach, Cognism, Lusha, or Qualified Exposure to DevOps, cybersecurity, or Salesforce development environments Multilingual proficiency to support global outreach Requirements What You’ll Be Doing We’re growing our in-office team in Pune and we are building the sales team who will work closely with peers and sales leaders to build a qualified pipeline for our global sales teams. This role is Office based in Pune and the customers we are targeting will be largely in North American Time zones therefore you will need to be flexible to cover these hours. In this role, you will: Prospect into Salesforce customers via phone, email, and LinkedIn Respond quickly and professionally to inbound leads Qualify prospects by understanding their current challenges, goals, and fit Schedule discovery calls and demos for Account Executives Deliver the Flosum value prop clearly and creatively Keep Salesforce CRM up to date with clean, accurate activity and notes Follow internal processes and campaign playbooks to ensure visibility and reporting Stay current on the Salesforce ecosystem, Flosum’s product roadmap, and industry trends Work from our Pune office daily, collaborating with your manager and team Career Growth Path This role is built for ambitious professionals. High-performing BDRs will be considered for growth opportunities, such as Senior BDR or SMB Account Executive role, typically within 9-12 months. Promotions are based on demonstrated readiness for the next role and business needs, with clear coaching and development support provided along the way. Benefits Competitive compensation & incentive structure Daily coaching, mentorship, and growth opportunity Be part of a global, mission-driven team Learn from top leaders in Salesforce DevOps and SaaS sales Work on exciting challenges in a rapidly growing industry

Location: San Francisco Workplace: OnSite 🧠 ABOUT LEGION HEALTH At Legion Health https://legionhealth.com, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together. 📍 ROLE LOGISTICS - Job Type: Full-Time - Role Type: GTM Engineering / Revenue Systems / Provider Partnerships / AI Automation / Data & Attribution - Ideal Experience Level: 5+ years, including 3+ years owning GTM systems, revenue automation, growth engineering, or technical RevOps - Location: In-Person in San Francisco, CA - US Visa Sponsorship: Yes 🚀 THE OPPORTUNITY Legion is hiring a GTM Engineer to build the AI-native commercial and referral infrastructure behind our provider-partnership motion. Your systems will help us identify the right provider organizations, reach the right stakeholders, turn interest into referrals, and move referred patients into care quickly. This is not a traditional RevOps or CRM administration job. You will own the technical architecture from market mapping and outbound through referral intake, attribution, eligibility, onboarding, and partner reporting. You will configure best-in-class tools when they are sufficient and write code or build integrations, agents, and internal products when they are not. You will build both sides of our sales motion. From the bottom up, Legion needs a complete view of every clinic, location, physician, referral coordinator, and office leader in a market. From the top down, we need to map enterprise medical groups, centralized referral teams, executives, clinical leaders, and every stakeholder who can shape a partnership. The system should tell each representative who matters, why they matter, what happened last, and what to do next. You will also engineer the path from referral to care. Referrals may arrive through fax, forms, APIs, tracked links, QR codes, phone calls, or patients who begin online after a provider recommendation. Regardless of channel, Legion must identify the source, resolve the provider and organization, preserve attribution, process the referral, initiate eligibility and onboarding, and synchronize the right data across our CRM, product, analytics, and patient-engagement systems. The right person is a hands-on systems builder with strong product judgment. You should be comfortable choosing a CRM, modeling complex account hierarchies, writing SQL and lightweight production code, integrating APIs, deploying AI workflows, debugging failures, and partnering with sales, product, engineering, data, operations, clinical, compliance, and security teams. Over time, you will help turn provider partnerships into a secure product that makes Legion the easiest specialty care partner in the country: simple to refer patients to, easy to collaborate with, and consistently responsive. ✅ RESPONSIBILITIES AND DELIVERABLES - Select and architect Legion’s provider-partnership CRM—whether HubSpot, Salesforce, Attio, or another AI-native platform—as the source of truth for organizations, locations, stakeholders, opportunities, referrals, ownership, and next actions. - Design a durable account hierarchy that connects individual clinicians, clinic locations, care teams, medical groups, parent organizations, enterprise partnerships, and internal owners without losing history or context. - Build a provider prospecting data layer using NPI and claims data, Definitive Healthcare or similar datasets, public sources, enrichment providers, and Legion’s internal data. - Create account-scoring and territory systems that prioritize targets using geography, specialty, patient volume, payer mix, referral potential, network relationships, and engagement signals. - Build coordinated outbound workflows across email, phone, LinkedIn, direct mail, events, lunch-and-learns, and field sales using tools such as Clay, Apollo, LinkedIn Sales Navigator, sequencing platforms, AI agents, and custom integrations. - Map clinic-level champions and referral coordinators alongside enterprise executives, clinical leaders, operations leaders, and centralized referral teams so Legion can sell from the bottom up and the top down. - Equip sales representatives with accurate contact data, office addresses, account briefs, relationship history, meeting preparation, follow-up automation, and clear next-best actions. - Deploy AI-assisted workflows for account research, stakeholder discovery, enrichment, outreach drafting, call intelligence, CRM updates, and follow-up with appropriate evaluations and human review. - Build an omnichannel referral-ingestion layer that turns fax, forms, APIs, tracked links, QR codes, phone calls, provider handoffs, and patients who begin online after a provider recommendation into structured, traceable records. - Automate referral processing, including document extraction, provider and organization matching, deduplication, completeness checks, routing, exception handling, and audit trails. - Connect referral intake to insurance eligibility and AI-native front-desk workflows for patient outreach, onboarding, and scheduling so referred patients reach the right next step without avoidable delays. - Own end-to-end attribution across the referring clinician, clinic, parent organization, partnership, sales representative, campaign, channel, UTM, QR code, landing page, fax source, and downstream patient journey. - Integrate the provider CRM, Legion’s database, the patient-facing CRM, PostHog, Braze or another lifecycle platform, analytics systems, and custom applications into one coherent data flow. - Partner with product and engineering to build secure provider-facing dashboards and workflows for referral volume, referral status, time-to-contact, scheduling progress, coverage and copay information, and other authorized care-coordination information. - Build compliant workflows that return medical records, care summaries, and status updates to referring care teams through approved fax, secure email, portal, interoperability, or other authorized channels at the right cadence. - Create dashboards and operating reviews for market coverage, stakeholder penetration, outreach performance, pipeline, referral volume, conversion, speed to care, repeat referrals, partner expansion, and revenue impact. - Own production reliability across monitoring, logging, retries, rate-limit handling, identity resolution, testing, versioning, access control, documentation, and recovery when systems fail. - Treat HIPAA, PHI handling, minimum-necessary access, role-based permissions, audit trails, consent, and provider trust as product requirements in every automated workflow. - Make disciplined build-versus-buy decisions, ship useful first versions quickly, and drive adoption through clear playbooks, training, and change management. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Give Legion a provider CRM and data model that the team trusts as the source of truth. - Create a complete, prioritized map of each market so representatives spend time with the right organizations and people. - Build a repeatable outbound engine that produces qualified provider conversations and pipeline through coordinated digital, field, bottom-up, and top-down plays. - Ensure every referral is captured, processed, routed, and attributed correctly regardless of how it arrives. - Reduce the time from referral to eligibility, patient contact, onboarding, scheduling, and completed care. - Give referring care teams a secure, useful experience that increases trust and repeat referrals. - Remove repetitive research, data entry, document processing, routing, follow-up, and reporting work without sacrificing accuracy or judgment. - Build reliable systems that sales and operations adopt, improve continuously, and measurably increase referral volume, conversion, speed to care, partner retention, and revenue. 🧰 IDEAL BACKGROUND AND SKILLS - 5+ years in GTM engineering, revenue operations, sales operations, growth engineering, business systems, data engineering, internal tools, or another systems-building role close to revenue. - 3+ years directly owning CRM architecture, GTM automation, data pipelines, outbound infrastructure, attribution, or technically complex revenue programs. - Strong technical foundation: advanced SQL plus the ability to write and review production-quality Python, JavaScript, or TypeScript for integrations, automations, and internal tools. - Deep CRM fluency in HubSpot, Salesforce, Attio, or similar, including objects, associations, account hierarchies, lifecycle stages, permissions, routing, reporting, deduplication, and data governance. - Hands-on experience with APIs, webhooks, ETL or reverse ETL, event instrumentation, identity resolution, error handling, observability, and modern data warehouses. - Practical fluency with modern GTM tools such as Clay, Apollo, Definitive Healthcare, LinkedIn Sales Navigator, Outreach, Salesloft, n8n, Make, Zapier, Workato, or equivalent platforms. - Production experience with LLM-powered research, extraction, classification, routing, or agentic automation, including structured outputs, evaluations, monitoring, confidence thresholds, and human-in-the-loop review. - Strong analytical judgment across funnels, attribution, pipeline, conversion, velocity, cohort analysis, experimentation, and revenue impact. - Strong product sense and build-versus-buy judgment. You can turn a messy frontline problem into a coherent system that people trust and use. - Strong preference for experience in healthcare, provider partnerships, referrals, physician networks, field sales, multi-location organizations, or another complex relationship-driven business. - Healthcare and security judgment: disciplined access controls, auditability, minimum-necessary access and data use, consent, and close partnership with compliance and clinical leaders. - Bonus: experience with eFax, referral management, EHR integrations, HL7, FHIR, eligibility, claims, provider directories, or NPI data. - Excellent cross-functional communication. You can translate the needs of a sales representative, referral coordinator, operator, clinician, engineer, analyst, and executive into a system that works. - Low ego, high ownership, and startup intensity. You can diagnose the bottleneck, design the solution, ship a useful version, measure the result, and improve it quickly. 💰 COMPENSATION & BENEFITS - Salary: $140,000 – $260,000, based on experience - Early-Stage Equity: Meaningful ownership in a category-defining company. - Health Insurance: Medical, dental, and vision benefits - Additional Perks: In-person retreats, meal stipends, GTM and revenue-systems tooling budget, learning stipend, AI tooling budget - Time Off: Flexible, unlimited vacation policy - Work Hours: Flexible, with responsiveness around high-impact launches or system issues - Work Setup: In-Person in San Francisco, CA - Impact: Build the technical system that turns partnerships into faster access to high-quality medical care for all. - Autonomy and Learning: Own CRM architecture, provider data, outbound infrastructure, referral workflows, attribution, AI automation, reporting, and partner-facing systems end-to-end. - Growth Opportunities: As Legion scales, this role can grow into Head of GTM Engineering, Head of Revenue Operations, or a broader product and growth leadership role. 📝 HOW TO APPLY AND HIRING PROCESS - Apply here: https://jobs.ashbyhq.com/legionhealth/3a007cb1-faad-4854-a847-e4b77eaf3a42 - Overview of our hiring process: 1. Resume + Application Screen 2. Founder Interview 3. GTM + AI Systems Deep Dive 4. Professional Reference Checks - Estimated time-to-hire: 2 weeks - Start date: ASAP - Hiring manager: Arthur MacWaters 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

Location: İstanbul, Türkiye Workplace: remote 💻 About Kodland Kodland is an international online education platform helping children and teenagers develop coding, mathematics, digital design, and future-ready technology skills. Through live online classes and project-based learning, students gain practical digital skills while building confidence, creativity, and problem-solving abilities. We are now looking for an experienced Customer Service Specialist to join our GCC team and support enrolled families throughout their journey with Kodland. The internal title for this role is Customer Service Manager (CSM) . However, this is an individual-contributor position. You will manage customer relationships, requests, and cases—not a team of employees. 🎯 What Will You Do? As a Customer Service Specialist, you will support parents and students from the moment they join Kodland and help ensure that their learning experience remains smooth, clear, and positive. Your responsibilities will include: Communicating with parents through phone, chat, and email Welcoming newly enrolled families and helping them understand the next steps Supporting customers with class access, schedules, logins, transfers, freezes, and general course-related questions Following up with families when students miss lessons or stop attending regularly Understanding the reason behind customer dissatisfaction and working toward a suitable solution Handling complaints calmly and professionally Managing refund requests and discussing possible alternatives with families Negotiating installment and payment-related solutions within company policies Responding to objections in a clear, empathetic, and solution-oriented way Recording all customer interactions and case updates accurately in CRM and helpdesk systems Coordinating with teaching, technical, finance, and operational teams when additional support is required Taking ownership of each case until the customer receives a clear resolution The main goal of this role is not only to answer questions, but also to protect the customer experience, rebuild trust when problems occur, and help families continue their learning journey with Kodland. 🕒 Working Model This is a fully remote, full-time position. 40 working hours per week Five working days and two days off One weekend day is included in the working schedule Work is organized through scheduled shifts Regular attendance and reliability are essential Because customers depend on timely support, employees are expected to follow their assigned schedules consistently and remain available during their working hours. 💰 Compensation The compensation package consists of: $185 fixed monthly salary Up to $50 monthly KPI bonus The KPI bonus is based on measurable performance areas such as: Customer satisfaction Response and resolution time Quality of communication Accuracy of CRM and ticket updates Successful handling of complaints and customer concerns Compliance with internal processes 🧭 Training and Onboarding Successful candidates will complete a structured onboarding and role-training process before managing customer cases independently. The onboarding process generally includes: Introduction to Kodland and the customer journey Customer communication standards CRM and helpdesk system training Complaint and objection-handling practice Refund and installment scenarios Internal policies and operational processes Practical cases and role-play sessions Ongoing feedback and support will be provided by the Team Leader and the Customer Service team. 🚀 What Does Kodland Offer? 100% remote work Experience in an international EdTech company Structured onboarding and role training Ongoing support and regular feedback Experience with international customers and teams Development in customer service, retention, negotiation, and operations Internal career-growth opportunities for strong performers Employee discounts on Kodland educational programmes ✅ Mandatory Requirements Fluent Arabic and English communication skills At least 1–2 years of professional customer service experience Previous experience handling customers through calls, chat, or email Practical experience with customer support or ticketing platforms such as: Omnidesk Zendesk Freshdesk Intercom Or similar helpdesk systems Practical experience with CRM systems such as: amoCRM Bitrix24 Salesforce HubSpot Or another comparable CRM platform Strong written and verbal communication skills Confidence in handling complaints and emotionally difficult conversations Experience responding to customer objections Ability to discuss refunds, cancellations, installments, and payment concerns professionally Strong negotiation and problem-solving skills Ability to remain calm, empathetic, and respectful under pressure Strong organization and attention to detail Ability to manage several customer cases and systems simultaneously Ability to document customer interactions accurately Availability to work full-time for 40 hours per week Availability to work one weekend day A personal laptop or computer suitable for remote work Stable internet connection and a quiet working environment Ability to commit to Kodland as the primary professional role 🌟 Experience That Will Be an Advantage Experience in one or more of the following areas will be considered an advantage: Customer retention Refund prevention or cancellation handling Billing and installment support Complaint resolution Customer success Call centres Subscription-based services Online education or EdTech Supporting parents or family-oriented customers Working with customer satisfaction or response-time KPIs Cross-functional coordination with finance, technical, or operations teams 🎯 You May Be a Strong Fit If: You enjoy helping customers solve real problems You can listen carefully and identify the concern behind a complaint You understand that customer service also requires ownership and follow-up You are comfortable discussing sensitive topics such as refunds and payments You can protect the customer relationship without making unrealistic promises You communicate confidently while remaining respectful and empathetic You can work independently and stay organized in a remote environment You are comfortable being evaluated through service-quality KPIs You are looking for a stable role where you can build long-term experience ⚠️ This Role May Not Be Suitable for You If: You prefer to transfer difficult cases instead of owning them until resolution You are uncomfortable handling complaints, refunds, or payment discussions You do not want to work on weekends You find it difficult to follow fixed processes and document your work You are looking for a temporary or short-term role You have frequently changed jobs after very short periods and cannot clearly explain the reasons for those transitions You are unable to commit consistently to a full-time remote schedule We understand that career changes can happen for many valid reasons. Candidates should simply be prepared to explain short employment periods and demonstrate their interest in building a stable, long-term professional relationship with Kodland.

Location: India; Singapore 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 is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As an Electrical Design Engineer, you will support the design, review, and technical development of electrical systems for data centers across the APAC portfolio. This role is ideal for a Data Center Electrical Design Engineer with hands-on data center design experience who can work across conceptual design, design reviews, partner coordination, and technical decision-making. You should be comfortable evaluating both low-voltage and medium/high-voltage electrical systems and helping ensure designs meet Nebius standards, local regulations, and operational requirements. Responsibilities Review electrical design packages for data center projects, including internal concepts and third-party partner designs. Support development of electrical design concepts for high-density data center environments. Evaluate UPS, LV, MV, and HV electrical infrastructure, including systems up to 400V and MV/HV systems around 11kV and above. Review cable distribution, electrical pathways, and design coordination with data hall layouts. Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs. Assess designs for concurrently maintainable data center operations and high power-density environments. Help identify alternative design solutions, product options, and technical tradeoffs. Requirements Data center electrical design experience. Strong understanding of electrical systems used in mission-critical or data center environments. Experience with LV and/or MV/HV electrical infrastructure. Ability to review design documents, technical proposals, and partner deliverables. Ability to read and interpret contracts, design requirements, and technical standards. Strong communication skills with internal stakeholders, external design partners, and construction teams. Practical engineering mindset with ability to think beyond narrow specialization. Nice to Have Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers. Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms. Familiarity with high-density rack environments, including 50kW to 200kW per rack. Experience supporting design reviews through commissioning or operational turnover. 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: Singapore 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 is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the APAC portfolio. This role is ideal for a Mechanical Engineer who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments. Responsibilities Review mechanical design packages for data center projects, including internal concepts and third-party partner designs. Support mechanical design development for high-density data center environments. Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures. Coordinate closely with electrical design, construction, commissioning, and operations stakeholders. Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards. Help assess technical tradeoffs, alternative solutions, product options, and design risks. Support design reviews tied to power density, airflow, cooling capacity, and operational readiness. Requirements Data center mechanical design experience. Strong understanding of mechanical systems in mission-critical or data center environments. Experience with air-cooled data center design. Ability to evaluate mechanical capacity, flows, and design assumptions. Ability to review design documents, technical proposals, and partner deliverables. Ability to read and interpret contracts, design requirements, and technical standards. Strong communication skills with internal stakeholders, external design partners, and construction teams. Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty. Nice to Have Experience with liquid-cooled data center technologies. Experience with hyper-scale, neocloud, GPU, or AI infrastructure data centers. Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms. Familiarity with high-density rack environments, including 50kW to 200kW per rack. Experience supporting design reviews through commissioning or operational turnover. 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: Dhahran, Saudi Arabia ERAM Talent is seeking a motivated Application Developer to join our client in Dhahran, Saudi Arabia . This is an excellent opportunity for fresh graduates and early-career professionals (0–3 years of experience) who are passionate about software development, secure coding practices, and modern application technologies. The ideal candidate will have a strong foundation in software development, application security, and database concepts, with the ability to develop, test, and maintain secure, high-quality applications. You will work closely with cross-functional teams to design, develop, integrate, and optimize software solutions while ensuring compliance with Oil & Gas industry best practices. Key Responsibilities: Design, develop, test, and maintain secure software applications. Apply secure coding practices and ensure application and database security in line with Saudi Aramco standards. Participate in system design, software architecture, application integration, and cloud-based development. Develop and optimize SQL queries and work with relational databases. Perform software testing, debugging, and performance optimization. Collaborate effectively with clients and internal teams to deliver high-quality solutions. Troubleshoot technical issues and provide innovative software solutions. Requirements Bachelor's degree in Computer Science or a related field. GPA of 3.0/4.0 or 4.0/5.0 . 0–3 years of relevant experience (Fresh graduates are encouraged to apply). Strong understanding of application security, database security, and secure coding principles. Knowledge of software architecture, system design, cloud computing, and application integration. Strong analytical, problem-solving, and communication skills.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you. In this role, you will: Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education You may be a good fit if you: Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end Hold an active CPA license Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Strong candidates may also: Have deep, practitioner-level expertise in one or more of the following: Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes) Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards. You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage. The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work. Key responsibilities Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off Work directly in research codebases, improving reliability and structure without slowing down the research they support Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on Experience working productively in large, evolving, or research-style codebases that you didn't originally write Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines Experience building or operating large-scale distributed systems Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing or dataset lifecycle management Experience designing plugin systems or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams, including successfully handing off systems for others to own Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams Prior experience as a technical lead, or setting engineering standards for a team Prior experience maintaining an open source project Representative projects These are examples of the challenges the team tackles; no one person will work on all of them: Design a base RL environment abstraction general enough to be subclassed across a wide range of environments Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks Design probes that catch sandbox regressions early Design the lifecycle and maintenance scheme for a production dataset Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs Build the access layer that lets researchers discover and reuse data artifacts across teams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification. Key responsibilities Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally Own the platform layers that sit beneath every environment, including the agent runtime Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues Drive adoption of new frameworks across the organization, including deprecations and cutovers Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct Experience working productively in large, evolving, or research-style codebases that you didn't originally write Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms Experience with large-scale data processing, dataset lifecycle management, or data lineage systems Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead Representative projects These are examples of the challenges the team tackles: Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $605,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Platform Engineer on the Builder Experience Team at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications.   WHAT YOU’LL DO - Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem - Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams - Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products - Drive enhancements in CI/CD pipelines, automation, and developer workflows to increase deployment speed, reliability, and confidence across teams   YOU BRING - 2-9 years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments - Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster - Deep expertise in distributed systems, asynchronous processing, and high-availability platform services - Production experience in AWS cloud environments and building cloud-native infrastructure - Demonstrated experience designing and building agentic developer tools that empower automation, collaboration, or intelligent workflows - Strong experience working with CI/CD pipelines and driving continuous integration and delivery improvements - Drive and proactivity – everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board. You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed. Responsibilities Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage Create exec-support runbooks and SLAs that keep the service consistent as it grows Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them Establish the board member device, account, and access setup process with our Onboarding lane Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage Participate in the Core on-call rotation and contribute to the knowledge base and runbooks Maintain a regular on-site presence in San Francisco You may be a good fit if you have 7+ years of experience in IT support and 3+ years in executive support Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service Experience supporting executives, their assistants, or a board to a white-glove standard A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure Composure when an urgent escalation lands, and the judgment to know when to pull in help High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work A security-first mindset and excellent judgment about when user experience yields to security requirements Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work The instinct to write things down: runbooks, KB articles, and status updates that keep people informed Nice to have Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements AV depth beyond first response, such as broadcast, live events, or room design input Experience building runbooks, self-service content, or support automation Experience supporting AI/ML research environments or highly technical user bases Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dubai, UAE Workplace: Remote ABOUT COLUMN For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve. At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us! THE OPPORTUNITY As Column’s Emerging Markets Lead, you will spearhead one of our most strategic international expansion initiatives. In this role, you will be responsible for driving 0-to-1 growth for a new banking product by building and nurturing relationships with prospective partners and customers in select markets, with a specific focus on CIS and Eastern Europe. This role combines global expansion strategy, business development with hands-on relationship management, requiring a general business athlete who thrives on networking and executing complex partnerships. This is a unique opportunity to be on the founding team for a new business line, with significant autonomy and direct impact on Column’s global expansion strategy. This position will be based in Dubai, with regular travel throughout the region and occasional travel to Column’s headquarters in San Francisco. WHAT YOU’LL DO - Lead regional market development: Own the end-to-end process of identifying, evaluating, and executing on high-value partnerships with banks across a number of international markets. - Build and maintain key relationships: Serve as the primary relationship owner for prospective and existing customers, conducting regular in-person meetings, attending local industry events, and managing ongoing partnership development. - Own partnership execution: Lead complex deal processes from initial outreach through contract signature, working collaboratively with Column’s Legal, Compliance, and Product teams. - Develop market intelligence: Gather and synthesize insights on local market conditions, regulatory developments, competitive landscape, and customer needs to inform Column’s regional strategy. - Market expertise and network: Become an expert on the correspondent banking space in our key emerging markets and build an extensive network within their banking and fintech ecosystems. - Drive operational excellence: Build scalable processes for onboarding, relationship management, and ongoing support that can be replicated as we expand. WHAT YOU’LL NEED TO BE SUCCESSFUL - 6+ years of experience in partnerships, business development, growth, operations or strategy in a high-caliber environment - 4+ years of business experience specifically in CIS and Eastern European markets - Native fluency in Russian and experience managing business relationships with Russian-speaking clients and stakeholders - Track record of successfully managing complex partnerships and high-value deals with executive stakeholders - Natural networker who thrives on building trust and long-term relationships with senior executives, market experts and decision-makers - Strong strategic thinking - ability to assess market opportunities, evaluate potential partners, and provide strategic recommendations to senior leadership - Hyper-organized approach to project management, including coordinating efforts across multiple teams; comfort juggling multiple projects and priorities is critical - Scrappy, roll-up-your-sleeves attitude - we thrive because we work harder, are more creative, and have zero ego when it comes to getting our hands dirty to build a business WE LOOK FORWARD TO HEARING FROM YOU Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com. We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.

Location: Tashkent, UZ Workplace: Remote ABOUT COLUMN For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve. At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us! THE OPPORTUNITY As Column’s Emerging Markets Lead, you will spearhead one of our most strategic international expansion initiatives. In this role, you will be responsible for driving 0-to-1 growth for a new banking product by building and nurturing relationships with prospective partners and customers in select markets, with a specific focus on Uzbekistan. This role combines global expansion strategy, business development with hands-on relationship management, requiring a general business athlete who thrives on networking and executing complex partnerships. This is a unique opportunity to be on the founding team for a new business line, with significant autonomy and direct impact on Column’s global expansion strategy. This position will be based in Tashkent, with regular travel throughout the region and occasional travel to Column’s headquarters in San Francisco. WHAT YOU’LL DO - Lead regional market development: Own the end-to-end process of identifying, evaluating, and executing on high-value partnerships with banks across a number of international markets. - Build and maintain key relationships: Serve as the primary relationship owner for prospective and existing customers, conducting regular in-person meetings, attending local industry events, and managing ongoing partnership development. - Own partnership execution: Lead complex deal processes from initial outreach through contract signature, working collaboratively with Column’s Legal, Compliance, and Product teams. - Develop market intelligence: Gather and synthesize insights on local market conditions, regulatory developments, competitive landscape, and customer needs to inform Column’s regional strategy. - Market expertise and network: Become an expert on the correspondent banking space in our key emerging markets and build an extensive network within their banking and fintech ecosystems. - Drive operational excellence: Build scalable processes for onboarding, relationship management, and ongoing support that can be replicated as we expand. WHAT YOU’LL NEED TO BE SUCCESSFUL - 6+ years of experience in partnerships, business development, growth, operations or strategy in a high-caliber environment - 4+ years of business experience specifically in Uzbekistan markets - Native fluency in Russian and Uzbek - Track record of successfully managing complex partnerships and high-value deals with executive stakeholders - Natural networker who thrives on building trust and long-term relationships with senior executives, market experts and decision-makers - Strong strategic thinking - ability to assess market opportunities, evaluate potential partners, and provide strategic recommendations to senior leadership - Hyper-organized approach to project management, including coordinating efforts across multiple teams; comfort juggling multiple projects and priorities is critical - Scrappy, roll-up-your-sleeves attitude - we thrive because we work harder, are more creative, and have zero ego when it comes to getting our hands dirty to build a business WE LOOK FORWARD TO HEARING FROM YOU Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com. We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.

Location: Göppingen, Germany; München, Germany; Berlin, Germany Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for an analytical and business-oriented Compensation & Benefits Manager to help shape, govern, and continuously develop our global compensation and benefits landscape. In this highly visible role, you will own key global compensation frameworks, including salary structures, the annual salary review process, company bonus calculations, incentive offerings, and pay transparency initiatives. You will partner closely with our CHRO, HR Business Partners, Finance, Employer Branding, and business leaders worldwide to ensure our compensation and benefits practices remain competitive, fair, scalable, data-driven, and aligned with TeamViewer’s business objectives. If you enjoy working with data, designing practical reward solutions, influencing strategic decisions, and continuously improving global people programs, this role offers an exciting opportunity to make a meaningful impact. Global Salary Structures & Compensation Strategy: Own the design, governance, maintenance, and continuous development of global salary structures and compensation frameworks, leveraging market benchmarks and analytics to support informed, consistent, and scalable decision-making. Pay Transparency & Gender Pay Gap: Drive initiatives related to pay transparency and gender pay gap analysis, ensuring fair and equitable compensation practices while supporting regulatory compliance. Annual Compensation Review: Lead the annual salary review process globally, including planning, budgeting support, governance, communication, and execution. Incentive Design & Reward Offerings: Develop and enhance incentive and reward offerings in close collaboration with HR Business Partners, business leaders, and Employer Branding, ensuring they support business needs, talent attraction, retention, and employee engagement. Company Bonus: Manage company bonus calculations and support the administration of short-term incentive programs with accuracy, consistency, and transparency. Compensation Analytics & Reporting: Develop reports, dashboards, and analyses for senior management, Finance, and HR stakeholders to support strategic workforce and compensation decisions. Communication, Change Management & Total Rewards Positioning: Develop and implement communication strategies and materials related to compensation, benefits, and reward offerings, partnering with Employer Branding and Talent Acquisition to strengthen the positioning of TeamViewer’s total rewards offering for employees and candidates. Project Management: Support and lead compensation-related projects, process improvements, and transformation initiatives within the broader HR organization. Benefits & Broader Total Rewards: Support the review, harmonization, and continuous improvement of benefits and broader total rewards offerings across countries, ensuring alignment with market practice, employee needs, and business priorities. Cross-Functional Collaboration: Act as a trusted partner to the CHRO, HR Business Partners, Employer Branding, Finance, and other key stakeholders globally. Continuous Improvement: Identify opportunities to simplify, automate, and improve compensation & benefit processes, reporting, and governance structures. Requirements University degree in Business Administration, Human Resources, Finance, Economics, or a related field. Several years of relevant professional experience (typically 5+ years) in Compensation & Benefits, Rewards, HR Controlling, or a comparable analytical HR function. Strong knowledge of compensation principles, benefits, broader total rewards, global salary structures, salary benchmarking, incentive design, and market practices. Experience managing annual compensation review cycles and bonus processes in an international environment. Knowledge of pay transparency, equal pay, and gender pay gap topics is highly desirable. Excellent analytical and conceptual thinking skills with the ability to translate complex data into actionable insights. Advanced Excel skills and strong affinity for data analysis and reporting. Experience with HRIS, compensation planning, and reporting tools is an advantage. Strong stakeholder management, communication, and influencing skills across all organizational levels. Experience translating compensation and total rewards offerings into clear, engaging communication for employees, candidates, and internal stakeholders is an advantage. Self-driven, structured, and proactive working style with a passion for continuous improvement and innovation. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Premiums for the private pension plan ( BAV ) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Option to lease an e-bike (Germany only) Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Madison, WI As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive support for utility and infrastructure projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field services across multiple industries. The 2026 merger with J.D. Hair & Associates further strengthened our capabilities and resources, adding decades of specialized expertise in trenchless, geotechnical, and structural engineering to our core offerings. As a proud member of the Michels Family of Companies, Mi-Tech collaborates with an internationally respected team to deliver integrated, end-to-end engineering, design, and construction solutions that meet the highest standards of quality and performance. The Utility Construction Inspector is responsible for inspecting and monitoring utility construction projects involving natural gas, electric, telecommunications, and municipal infrastructure. This position ensures all construction activities comply with safety regulations, approved plans, specifications, and applicable federal, state, local, and company standards. The inspector serves as a third-party representative of the utility or facility owner and plays a critical role in protecting public safety, infrastructure integrity, and project quality. Why Mi-Tech, Services Inc.? We are committed to hiring the best people and giving them the best equipment We are dedicated to the improving energy distribution & telecommunication services Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We believe everyone is responsible for promoting safety, regardless of job title We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies Why you? You like to surround yourself with dedicated, value-driven people You are up to new challenges and opportunities You cringe when you hear: “Because that’s the way we’ve always done it.” You like to know your efforts are noticed and appreciated You believe that individual commitment to a group effort is key to success You want your work to make a difference in people’s lives What it takes Experience or knowledge in natural gas, electric, telecommunications, or municipal utility construction is preferred, but not required. Strong understanding of utility safety practices, excavation standards, and damage prevention requirements. Ability to read and interpret construction plans, specifications, and utility maps. Comfortable working independently in the field and navigating multiple locations daily. Proficient with mobile technology and electronic reporting systems such as ArcGIS -Survey123 and/or Field Maps is preferred, but not required. Experience with GPS instruments such as Trimble and/or Topcon preferred, but not required. Willing to travel Statewide. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Quebec City, Canada; Atlanta, United States Workplace: remote Executive Partnership & Relationship Management Own executive relationships for a select portfolio of high-value and high-potential accounts, serving as the primary strategic partner to C-suite and VP-level stakeholders. Build a deep understanding of each client’s business, priorities, KPIs, and stakeholder landscape to guide strategic conversations and strengthen the partnership. Lead QBRs, executive business reviews, and key client conversations, and represent AiDigital alongside agency partners in strategic pitches. Navigate executive escalations, complex stakeholder dynamics, and internal client politics while insulating execution teams from political and relational friction. Strategic Advisory & Value Realization Develop and own strategic account plans focused on long-term retention, relationship depth, and account growth. Identify opportunities to expand AiDigital’s impact by connecting client business needs with our programmatic, media, and technology capabilities. Ensure AiDigital’s work is tied to the business outcomes and KPIs that matter to each client, not just campaign-level performance. Operational Alignment & Strategic Integration Translate client business priorities into clear direction for Client Service, Strategy, Growth, and Product teams. Ensure continuity from post-sale handoff through onboarding, execution, retention, and growth, keeping the original strategic vision connected to delivery. Maintain executive and strategic ownership while Client Service, Strategy, and Technical Account Management own day-to-day execution, media planning, and platform support. 7+ years of experience in programmatic advertising, digital media, or adtech, including significant experience in senior client-facing roles. Deep hands-on knowledge of the programmatic advertising ecosystem, including DSPs, media buying, measurement, and omnichannel digital media. Proven experience owning a portfolio of large enterprise or agency accounts, with direct accountability for client retention and account growth. Experience managing a multi-million-dollar book of business and developing strategic account plans for high-value clients. Proven track record of building and maintaining relationships with C-suite and VP-level stakeholders. Demonstrated success retaining and growing existing accounts, with measurable examples of revenue growth, expanded scope, or increased client investment. Experience leading QBRs, annual planning, executive business reviews, and senior client presentations. Experience working across the full client lifecycle, from post-sale transition and onboarding through retention, expansion, and renewal. Strong cross-functional experience working with Client Service, Strategy, Sales/Growth, and Product teams.

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. Render builds and operates our own networking stack end-to-end. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform. We are looking for engineers with deep specialization in network infrastructure, particularly with experience in edge/ingress networking and Kubernetes networking internals. Areas of focus include scaling and evolving our traffic routing and load balancing systems; advancing Kubernetes and Linux networking components to support large-scale, zero-downtime operation; and exploring networking for Render’s next-generation compute platforms. WHAT YOU'LL DO - Own Render's core network infrastructure across multiple data centers and cloud providers. Shape how networking evolves as Render rapidly scales. - Design and build customer-facing networking capabilities that give users greater flexibility in how their services connect, communicate, and how traffic is routed. - Investigate complex networking issues across the stack, from the kernel and data plane to distributed systems and edge networking. - Drive performance and reliability improvements through systematic profiling and tuning. - Partner with engineers across the company to build a platform that is stable, predictable, and secure. - Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents. WHAT WE'RE LOOKING FOR - At least 6 years of experience building and operating large-scale networking or infrastructure systems. - Experience with Kubernetes networking internals (e.g. kube-proxy, CNI plugins, service routing) or similar container networking technology. - Experience with Linux networking internals (e.g. routing, netfilter/iptables/nftables, conntrack) in production environments. - Experience building and operating traffic routing systems (e.g. load balancers, ingress, proxies) at scale. - Strong experience designing, debugging, and operating distributed systems. - Experience planning and executing high-risk changes with minimal downtime. NICE-TO-HAVES - Experience with eBPF or advanced Linux kernel networking. - Experience developing systems in Go or similar languages that interact with low-level OS and networking primitives. RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM - The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Santa Clara, CA 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. About the Team - LG's Emerging Technology Lab LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG’s CTO organization. Located in the Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value. About the Opportunity We are seeking a Contract AI Researcher - Efficient AI to join LG's Emerging Technology Lab in Santa Clara, CA (hybrid). This is an exciting opportunity to work at the forefront of AI efficiency research, developing technologies that make modern LLMs, VLMs, multimodal models, and AI agents faster, smaller, and more deployable in real-world environments. In this role, you will explore cutting-edge areas such as model compression, quantization, efficient inference, reasoning optimization, and next-generation AI architectures. Your work will help enable advanced AI capabilities across LG's future products and platforms, including AI PCs, edge devices, robotics, and intelligent vehicle systems. The ideal candidate enjoys bridging research and implementation, transforming ideas from the latest scientific literature into working prototypes and measurable improvements. You will have the opportunity to collaborate with experienced researchers, contribute to publications and intellectual property, and help shape the future of efficient, on-device AI. Responsibilities •    Research, prototype, and implement AI methods that improve model efficiency, inference performance, and deployment feasibility on constrained devices. •    Optimize modern LLMs, SLMs, VLMs, multimodal models, and agentic workloads across post-training, inference, and deployment workflows. •    Propose and evaluate novel compression methods (PTQ, QAT, pruning, low-rank approximation, etc) for on-device LLM/VLM enablement. •    Devise approaches to address challenges related to long-context inference and KV cache compression in the context of reasoning and agentic applications. •    Develop gradient-free and backpropagation-free methods for model merging, compression, and efficiency-driven optimization. •    Implement and evaluate emerging efficient architectures and modules, including MoE, SSMs, hybrid models, Looped Transformers, etc. •    Prototype inference-time optimization methods such as speculative decoding, constrained decoding, low-latency generation, and kernel-level optimization. •    Build experimental pipelines, perform evaluations on standardized language, vision, reasoning, and agentic benchmarks. •    Contribute to publications, technical reports, open-source releases, invention disclosures, and IP submissions where appropriate. Required Qualifications •    M.S. or Ph.D. in Computer Science, Computer Engineering, Machine Learning, Mathematics, or a related technical field. Relevant post-graduate research and/or industry experience is preferred but not required. •    Research or engineering experience in ML, efficient AI, model optimization, or AI systems. •    Strong programming ability in Python and experience with PyTorch or a comparable deep learning framework. •    Hands-on experience with modern LLMs, SLMs, VLMs, multimodal models, or generative AI systems. •    Ability to read research papers, implement technical methods, run experiments, and communicate results clearly. •    Comfortable working in a fast-moving and ambiguous technical environment. •    Strong written and verbal communication skills for reports, presentations, demos, and technical documentation. Ways to Stand Out •    Publications in reputable venues in ML and/or systems space (e.g., ICML, ICLR, NeurIPS, ACL, COLM, EMNLP, MLSys, MICRO, etc). •    Experience with modern LLM/VLM inference and deployment frameworks such as llama.cpp, GGUF, vLLM, SGLang, TensorRT-LLM, or related systems. •    Experience with efficiency-aware post-training or finetuning methods such as PTQ, QAT, LoRA, distillation, instruction tuning, DPO, OPD, RLVR, or reasoning-oriented adaptation. •    Experience with low-level kernel implementations and on-device acceleration. •    Familiarity with emerging architectures such as MoE, SSMs, hybrid attention, or Looped Transformers. •    Experience with AI-assisted optimization, multi-agent systems, or agentic-based workflows for Efficient AI and hardware/software co-design. Contract: This is expected to be a one-year contract position, with the potential for extension based on business needs and performance. Third-Party Agency Notice: We are not accepting unsolicited resumes or candidate submission from staffing agencies or search firms for this position. Please do not contact us regarding this opportunity. #LI-JH1 #Hybrid Recruiting Range $84.13 — $91.34 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 .