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

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

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

Location: Remote (U.S.) Workplace: Remote The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role Outschool is expanding the ways families can access and use education funding to support their children's learning. We're looking for a Public Funding Operations Manager to ensure the systems, processes, and partner relationships supporting these programs work reliably and efficiently as our business grows. This hands-on role will initially focus on Education Savings Accounts (ESAs), with opportunities to expand into the Federal Scholarship Tax Credit (FSTC), scholarship-granting organizations (SGOs), and other state and federal education funding programs. You'll serve as the primary day-to-day operational contact for funding partners, including ESA wallet providers, scholarship-granting organizations, and program administrators. You'll manage the processes supporting transactions, payments, reimbursements, refunds, and reconciliations while coordinating with Product and Engineering to maintain reliable partner integrations. You'll work closely with our Public Funding Strategy Director and Business Development leadership to support new funding opportunities, operationalize partnerships, and ensure new programs are ready to launch and scale. You'll also collaborate with Finance, Customer Experience, Legal, and Compliance to resolve issues, improve workflows, and deliver a seamless experience for families. We're looking for a hands-on problem solver who combines operational rigor, technical aptitude, attention to detail, and strong partner relationship skills. You'll be someone who takes ownership of problems, anticipates issues, and continuously looks for ways to make operations more reliable and efficient. Core Responsibilities: - Manage funding partner operations: Serve as the primary operational contact for ESA wallet providers, scholarship organizations, state program administrators, and other funding partners. Maintain strong working relationships, coordinate day-to-day activities, and resolve operational issues. - Support partner onboarding and launches: Work with Business Development and Strategy to coordinate the operational onboarding and activation of new funding partners and programs, ensuring requirements, workflows, and systems are ready. - Manage transactions and reimbursements: Oversee operational processes for purchases, payments, reimbursements, refunds, cancellations, and reconciliations. Work with Finance and Customer Experience to investigate and resolve discrepancies and exceptions. - Maintain partner integrations: Coordinate with Product and Engineering to support reliable integrations with wallet providers and funding platforms, troubleshoot technical issues, and help test and implement system improvements. - Improve operational processes: Identify opportunities to streamline workflows, reduce manual effort, improve accuracy, and scale operations through automation and better tools. - Ensure operational readiness and compliance: Work with Legal, Compliance, Finance, and Operations to implement partner and program requirements, maintain documented procedures, and support ongoing participation in funding programs. - Coordinate cross-functional issue resolution: Proactively identify operational risks and work with internal teams and external partners to resolve issues before they materially affect families or program performance. - Monitor operational performance: Track transaction success rates, refund processing times, reconciliation accuracy, integration reliability, and partner issue resolution. Use performance data to identify recurring problems and drive improvements. Desired Experience & Skills: - Experience in operations, partner operations, payments operations, financial operations, or related roles. - Demonstrated ability to manage complex operational workflows, troubleshoot issues, and improve processes. - Experience working directly with external partners, vendors, or platform providers on day-to-day operational matters. - Comfort working with technical systems, integrations, transaction data, and operational reporting. - Strong organizational skills, attention to detail, and the ability to independently manage competing priorities. - Ability to collaborate effectively with Product, Engineering, Finance, Customer Experience, and other functional teams. - Strong communication skills and a practical, service-oriented approach to partner relationships and problem-solving. - Experience improving operational efficiency through process optimization, automation, or technology. Other Considerations: - Familiarity with ESA programs, education funding, scholarship organizations, or wallet providers. - Experience with payment processing, reimbursements, refunds, financial reconciliations, or transaction operations. - Experience supporting third-party platform integrations or API-based workflows. - Experience in online marketplaces, fintech, edtech, or technology-enabled services businesses. - Familiarity with workflow automation and AI-enabled operational tools. - Previous experience in startups or high-growth companies. Compensation: Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process. This role is available in the following US Pay Zones: US Tiers US Tier 1: San Francisco Bay Area, New York City, and Seattle Metro US Tier 2: All California excluding San Francisco Bay Area, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro US Tier 3: All other cities and states US Pay Zones US Tier 1: This position is not available in this pay zone US Tier 2: $130,760 - $145,000 US Tier 3: $124,200 - $138,000 Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. 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 plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Financial Planning Manager to join our Corporate Accounting, Trading Services group, who will report to the Managing Director of Corporate Finance. The ideal candidate possesses a strong finance and analytical mindset. The candidate should be detail oriented and highly organized to manage several functions including trader compensation and financial planning/forecasting. Responsibilities Maintain and administer trader compensation database Calculate trader compensation on a monthly and annual basis Support monthly financial reporting and planning initiatives, as well as ad hoc projects Collaborate with Corporate Accounting team and auditors to complete year end audits for domestic and international entities Requirements 4+ years of relevant finance/accounting experience within a hedge fund, including responsibility for trader compensation, financial reporting, and analysis Bachelor’s degree in finance and/or accounting Strong analytical and modelling skills to effectively breakdown and map out legal compensation agreements Strong communication skills, both verbal and written, to effectively and succinctly present relevant data and issues Competent technology and data knowledge base to efficiently extract and manipulate data for reporting and analysis A team player with excellent project and time management skills to effectively work with our partners This role requires that all employees commute into our Rowayton, CT office Monday through Friday, and work 8:00 AM to 6:00 PM. Base Salary Range The anticipated base salary range for this position is $170,000 to $215,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Milwaukee, United States Lead Quality. Influence Operations. Grow Your Career. If you're a Quality Manager (with HACCP & SQF certifications) who thrives in a fast-paced manufacturing environment and enjoys building teams, driving continuous improvement, and partnering closely with operations, this opportunity deserves a closer look. Our client is an established, family-owned manufacturer experiencing sustained double-digit growth. They are investing heavily in their people, facilities, and future expansion plans, creating outstanding long-term career opportunities for the right leader. Why This Opportunity Stands Out Multi-year "Best Places to Work" award winner Modern, climate-controlled manufacturing facility Strong employee engagement and internal promotion culture Significant company growth and expansion initiatives underway Highly visible leadership role with direct impact on plant performance The Opportunity The Quality Manager will lead day-to-day quality operations for a 24/5 manufacturing facility serving some of the most demanding consumer brands in the world. You'll oversee a team of Quality Engineers, Technicians, and Inspectors while partnering closely with Operations, Production, Engineering, R&D, and Supply Chain to ensure product quality, food safety, regulatory compliance, and continuous improvement initiatives remain best-in-class. This role is ideal for a leader who can balance technical expertise with strong interpersonal skills, influence cross-functional stakeholders, and successfully navigate a high-volume manufacturing environment. Key Responsibilities Lead and develop a team of quality professionals across multiple shifts Drive GMP, HACCP, food safety, quality assurance, and compliance initiatives Manage customer complaint investigations, corrective actions, and root cause analysis Oversee internal audits, supplier quality programs, and regulatory compliance efforts Maintain and improve ISO, food safety, and quality management systems Partner with production and operations leadership to improve quality performance and reduce defects Analyze quality metrics, SPC data, and process trends to identify improvement opportunities Support continuous improvement projects focused on quality, efficiency, and customer satisfaction Ensure traceability, documentation, product specifications, and quality records are maintained What We're Looking For Quality leadership experience within a regulated manufacturing environment Experience leading quality teams in food packaging, food manufacturing, food ingredients, medical packaging, or similar industries Strong knowledge of GMP, HACCP, food safety systems, and quality management principles Experience with ISO certifications, auditing, corrective actions, and continuous improvement programs Proven ability to influence production and operational stakeholders Strong leadership, coaching, and employee development skills Bachelor's degree preferred in Food Science, Packaging, Engineering, Quality, or a related field

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The AI Transformation Owner drives the end-to-end AI agenda for the field organization, translating emerging AI capabilities into concrete enablement roadmaps, field use cases, and org-level strategy. You will partner closely with product and engineering teams to pilot and scale AI solutions, own the operational transformation plan needed to embed AI into day-to-day field workflows, and establish the governance framework that keeps AI adoption safe, compliant, and aligned with company standards. This is a hands-on role for someone who can move from strategy to execution without heavy oversight. This role reports to the Vice President, Enablement & AI. What You’ll Do AI Enablement Roadmap: Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy.. AI Field Use Cases: Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact. AI Field Champions: build relationships with champions in the field organization to activate power-usage and drive peer-led adoption; track this adoption (e.g., usage, proficiency, behavior change) with our AI Ops Specialist and Enablement Analyst. Ops Transformation Plan: Design and drive the operational plan that turns AI pilots into scaled, repeatable processes, coordinating across enablement, ops, and technical teams to remove execution bottlenecks. AI Governance: Influence and lead governance standards for AI tool adoption in the field, including data usage, risk review, tool vetting, and alignment with company-wide AI policy. What You’ll Bring Mid-Senior Experience: Several years of experience in enablement, sales operations, or a related GTM function, with a track record of owning initiatives end-to-end. AI Solutions Experience: Direct experience evaluating, piloting, or deploying AI tools or solutions in a business context, with a solid technical understanding of how they work and where they add value. Act as the field's primary advocate for AI tools (e.g., AI-assisted prospecting, call intelligence, forecasting copilots, RFP/proposal generation). Cross-Functional Fluency: Proven ability to work closely with product and engineering teams, translating field needs into technical requirements and vice versa. Self-Sufficiency: Comfortable operating with significant autonomy — able to define scope, structure ambiguous problems, and drive work forward without needing detailed direction. Organization & Execution: Strong project management instincts; able to manage multiple workstreams (roadmap, use cases, ops transformation, governance) in parallel without dropping details. Innovative Mindset: A builder's orientation toward new technology — curious about what's possible, willing to experiment, and able to separate genuine opportunity from hype. Enablement/Sales Background: Familiarity with field or sales enablement motions (onboarding, tool adoption, content, coaching) and how AI can realistically augment them. GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook. About the team The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Tech Operations Specialist keeps the field organization's AI tooling running smoothly day to day. You will maintain a clear inventory of AI tools in use across the field, manage an index of use cases and field needs, track adoption and utilization, manage access requests, and keep the underlying data feeding these tools clean and well-organized. This is a detail-oriented, execution-focused role for someone who enjoys bringing order to a fast-moving tool landscape and wants to build a foundation in Tech operations. This role reports to the Vice President, Enablement & AI. What You’ll Do Tool Inventory & Consolidation: Maintain an up-to-date inventory of all AI tools used across the field org, identify overlap or redundancy, and support consolidation efforts to reduce tool sprawl. Tool Adoption & Use Case Index: Formalize a library of field-adopted and -requested use cases for our AI tools, in coordination with the AI Transformation Owner, CRO. Utilization & Tracking: Monitor usage of AI tools across teams, build simple reporting to track adoption trends, and flag underutilized or underperforming tools to stakeholders. Comms & Enablement: draft internal announcements for tool rollouts and create micro-enablement programs to engage the field in AI tools. Tool Access Requests/Management: Own the intake and processing of access requests for AI tools, ensuring provisioning is timely, accurate, and aligned with licensing and approval requirements. AI Data Management: Support the organization, quality, and hygiene of data used by or generated from AI tools, working with relevant teams to keep gDrive/datasets accurate and properly maintained. What You’ll Bring Early-Mid Level Experience: Some experience in enablement, sales/business operations, IT operations, or a similar coordination-heavy function; comfortable owning recurring operational processes. Organized & Detail-Oriented: Strong attention to detail with the ability to track multiple tools, requests, and datasets simultaneously without things falling through the cracks. Interest in AI Tooling: Genuine curiosity about AI tools and platforms, with willingness to learn the technical basics of how they're configured, accessed, and maintained. Act as an advocate for AI Adoption and best practices in the field. Process-Minded: Comfortable following and improving structured processes (intake forms, access workflows, tracking dashboards) rather than needing to build strategy from scratch. Collaborative: Able to work with enablement, IT, and field stakeholders to gather requirements and resolve access or data issues efficiently. Data Comfort: Basic comfort working with spreadsheets, dashboards, or simple data tools to track utilization and maintain data quality. GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook. About the team The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, KSA; Remote, UAE GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Executive, you'll help expand GitLab's presence across MENA by building trusted relationships with senior leaders at large organisations and guiding them through complex platform decisions. This role is focusing on new logos and some existing business. You'll use a consultative sales approach to connect customer business needs with our AI-powered DevSecOps platform, helping teams improve developer productivity, reduce security and compliance risk, and move software delivery forward with more confidence. In this role, you'll support strategic accounts across the full customer journey, from early conversations through adoption, while helping us position GitLab as a leading DevSecOps partner in the French market. You'll work across pre-sales, post-sales, partner, marketing, and support teams, and we'll rely on you to bring strong account leadership, customer outcomes, and clear communication. Over your first year, your impact will come from building account plans for large organizations, developing new opportunities, and helping customers successfully adopt GitLab in ways that align to their business goals. What you'll do Lead strategic account activity for large prospects and customers, providing direction throughout pre-sales and post-sales engagements. Develop opportunities within enterprise accounts through prospecting, relationship building, and a consultative understanding of customer business needs. Create account plans and customer proposals that clearly connect GitLab capabilities to organizational priorities and transformation goals. Coordinate with pre-sales, post-sales, and support teams to support successful product rollout and customer adoption. Generate qualified pipeline in partnership with strategic channel partners and support new customer development efforts. Contribute customer feedback and product ideas to GitLab's public issue tracker to represent the voice of the customer. Prepare activity and forecast reports, and help analyze wins and losses to improve future sales execution. Collaborate with marketing, account teams, product managers, and technical teams to share lessons learned and communicate customer needs clearly. What you'll bring Experience selling into large organizations and navigating complex enterprise sales cycles with multiple stakeholders. Ability to build and manage executive-level customer relationships with a high degree of ownership and follow-through. Skill in consultative selling, including shaping proposals, presentations, and formal quotes around customer business needs. Strength in negotiation, presentation, and closing conversations in a clear and effective way. Comfort working independently on complex projects while coordinating with cross-functional teams. Fluency in English and Arabic required Familiarity with GitLab or related tools, including Git, software development tools, application lifecycle management, or security and application security tools. Alignment with GitLab's values, with openness to transferable experience from adjacent technical or enterprise software environments. About the team The team focuses on growing GitLab's enterprise business by helping large organizations adopt a single platform for software delivery, security, and collaboration. This role works closely with cross-functional partners across sales, solutions, support, marketing, and product, and contributes to an asynchronous, distributed way of working that values transparency, accountability, and shared customer insight. The team's work sits at the intersection of strategic growth and customer transformation, with a focus on helping enterprises evaluate, adopt, and expand their use of GitLab across complex environments. #LI-CA2 Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Professional Services Project Manager (London area) An overview of this role GitLab Senior Professional Services Project Managers manage complex projects from initiation through delivery and closure. In this role, you'll coordinate with cross-functional teams and our global customers to complete distinct projects on time and within budget. You'll use your experience managing information technology and software consulting projects and your knowledge of traditional and agile project management and software development methods. You'll also manage executive stakeholder communications, manage escalations, and help improve Professional Services project management practices. What you’ll do Manage large-scale commercial projects and executive stakeholder meetings and communications. Collaborate with GitLab Support, Engineering, and Product teams to resolve complex customer problems using GitLab technologies. Drive improvements to Professional Services project management tools, processes, procedures, and templates. Summarize key customer projects monthly and provide a summary for quarterly business reviews. Develop and manage delivery schedules, customer expectations, project scope, resources, status, risks, and issues for technical and consulting services. Manage customer escalations by coordinating with customers and GitLab stakeholders, including the executive team, Sales, and Technical Account Managers. Establish reliable, repeatable delivery processes, metrics, and operational procedures. Set and achieve forecast goals by aligning customers, Technical Architects, project engineers, partner consultants, and delivery partners. What you’ll bring Experience managing complex information technology or software consulting projects for external customers from initiation through closure. Ability to manage project scope, schedules, resources, customer expectations, risks, issues, and multiple priorities while delivering concise executive-level status reports. Ability to build effective relationships with customer leaders, communicate with internal and external stakeholders, and manage escalations. Ability to identify and resolve project challenges, motivate advisory teams and contributors, and mediate conflicts. Experience supporting timely revenue recognition and executing change orders when needed. Knowledge of project management and technical delivery methods for software, including Project Management Institute methodologies, agile or Scrum, the software development lifecycle, and project management or agile tools such as GitLab. Enterprise customer and Professional Services experience is a plus. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Baku Workplace: remote ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: 4 to 7 years of experience as a DevOps/SRE/Platform engineer Extensive experience with Linux Extensive experience with container orchestration using Kubernetes Experience with Self-hosted Kubernetes clusters administration GCP or AWS cloud experience Experience with Infrastructure-as-Code tooling Experience with Python / Bash scripting Experience with observability tools Experience with CI/CD Excellent interpersonal communication skills Strong communication skills Strong analytical and problem-solving skills Responsibilities Manage Kubernetes clusters (self-hosted or cloud-based) Implement and maintenance infrastructure in the cloud Managing Linux servers, web servers and application servers Configuration management (puppet, ansible) Manage Infrastructure as a code (terraform/terragrunt) Troubleshooting Nice to Have: IT professional certifications are not required, but it will be a plus Kubernetes (CKA, CKS) Google Cloud Platform or AWS HashiCorp (Terraform Associate, Vault Associate) Linux (LFCS, LFCE, RHCSA, RHCE) Puppet or Ansible certifications Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Location: Canada - Remote; Toronto Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Dubai, United Arab Emirates We are looking for a dedicated and experienced Site Nurse to join our team and provide primary healthcare services at our construction site. The ideal candidate will be responsible for ensuring the health and safety of employees by providing first aid, managing medical emergencies, maintaining medical records, and promoting workplace wellness in compliance with UAE regulations. This role is ideal for a proactive healthcare professional who is comfortable working in a fast-paced construction environment and can respond effectively to workplace incidents. Key Responsibilities Provide immediate first aid and emergency medical treatment to employees and visitors on site. Assess injuries and illnesses and determine whether further medical attention or hospitalization is required. Monitor the health and wellbeing of employees and maintain accurate medical records. Administer prescribed medications and basic treatments within the scope of practice. Coordinate emergency response procedures and arrange ambulance services when necessary. Conduct regular inspections of first aid kits and ensure medical supplies are fully stocked. Assist in implementing occupational health and safety programs. Promote health awareness and educate employees on workplace safety and preventive healthcare. Support pre-employment and periodic medical examinations where required. Maintain confidential medical documentation in accordance with company policies and UAE regulations. Work closely with the HSE team to investigate workplace incidents and recommend preventive measures. Ensure compliance with DHA/MOH/DOH regulations and company health and safety policies. Requirements Bachelor's Degree or Diploma in Nursing. Valid DHA, MOH, or DOH Nursing License (or eligibility to obtain one). Minimum 2-3 years of nursing experience, preferably in a construction, industrial, or occupational health environment. Certification in Basic Life Support (BLS) is mandatory. ACLS is an advantage . Strong knowledge of workplace health and safety procedures. Excellent emergency response and first aid skills. Good communication and interpersonal skills. Ability to work independently and remain calm under pressure. Strong documentation and record-keeping skills. Proficient in Microsoft Office applications. Benefits Competitive salary package Employment visa Medical insurance Food, Transport and Accommodation Annual paid leave Career growth opportunities within a leading real estate development and construction company Professional and supportive work environment

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. IT Support Coordinator (Contract Role) Los Angeles, CA *12-month contract The IT Support Coordinator is capable of prioritizing, triaging and being the first point of contact for tickets in the IT Support queue. Organization and customer service skills are key in this role. RESPONSIBILITIES Coordination with IT Support to balance workload. Monitor queues of staff for issues needing responses. Monitor unassigned queue to ensure prompt responses within SLA. Communicate with customers as required: gathering additional information, informing them of changes. Improve customer service, perception, and satisfaction with fast turnaround of customer requests. Escalate service requests to appropriate teams as necessary. Assists in day-to-day IT queue support operations with some supervision Provide first-level basic support for end user issues A point of contact to the customer for all types of service requests. Maintains documentation with updates and changes Triage service requests to address urgency and scope of impact. Update KPI Dashboards weekly. Develops and reports on JIRA dashboard analytics to drive support performance improvements Work across other studios to bring ticket handling improvements and optimization across PSS REQUIRED SKILLS Basic computer and operating system skills Must be able to learn quickly in a highly technical, fast paced and deadline intensive environment Excellent written and oral communication skills are required Experience in a role involving direct customer contact (internal and external customers) Ability to work in a team and communicate effectively. Experience with Jira Service Management or other IT Service Management (Ticketing) tools NICE-TO-HAVE SKILLS CompTIA A+ Certification Self-starter and ability to work with limited supervision Degree in an IT associated field of study At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $36 — $50 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote: United States 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. We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours. This is a new specialization at Render, and you will own the visibility layer for AI workloads and drive the technical and strategic direction for Render's observability surface, including logs, metrics, traces, and the OpenTelemetry ecosystem. You'll engage with Render's customers and our product development teams to develop a deep understanding of how they debug, monitor, and manage spend, and build conviction about where observability needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for observability at Render. Your scope spans systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer that makes token economics legible. - Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential. - Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution. WE'RE LOOKING FOR - 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products. - Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and the tradeoffs of instrumenting real production systems. Bonus if you've tracked the emerging conventions for GenAI and agent observability. - Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway, proxy, or metering product. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as an SRE, observability engineer, or infrastructure engineer. - Hands-on experience building AI agents, or instrumenting and evaluating them in production. - Contributions to OpenTelemetry or adjacent open-source telemetry projects. If this role excites you but you don't meet every single requirement or your experience is in an adjacent role such as engineering management, we'd still love to hear from you. Your unique experience might be just what we need. 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: Remote: United States 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. We're looking for a Staff Product Manager to own the vision and roadmap for Render's datastores portfolio, with our Postgres offering at the center. You will define what a modern managed database experience looks like, including how database products will adapt to new state patterns from agents and how agents as users of state-keeping products should be accommodated. You'll drive the technical and strategic direction for Render Postgres and our broader data layer, working directly with your team and infrastructure engineering to shape architectural decisions. You'll engage with Render's customers and our product development teams to develop a deep understanding of their data needs and build conviction about where the datastores portfolio needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Your scope spans provisioning and lifecycle management, high availability and disaster recovery, backups and point-in-time recovery, scaling and performance, connection management, and the extension ecosystem. - Drive prioritization across Render's data investments, balancing the leverage of foundational reliability work — replication, failover, storage performance — against near-term product and business needs, and being able to negotiate those tradeoffs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity. Databases are where customer trust is won or lost, so an instinct for reliability and data safety is essential. - Develop a strong, opinionated point of view on how managed Postgres needs to evolve to serve AI-native builders — from vector workloads and retrieval pipelines to databases that are spun up, branched, and torn down programmatically by agents at scale. - Set the standard for how developers experience data on Render, providing clear guidance, sensible defaults, and abstractions that make it easy for teams to run production databases with confidence — without needing a DBA on staff. WE'RE LOOKING FOR - 7+ years in Product Management, with the majority spent on databases, data infrastructure, developer tools, or platform products. - Familiarity with Postgres — its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production. Bonus if you have strong perspective on how agentic workloads and AI-native applications are reshaping database usage patterns. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as a database engineer, DBA, or infrastructure engineer. - Hands-on experience with Postgres internals, replication tooling, or the extension ecosystem (e.g., pgvector, PostGIS). - Experience building AI agents or the data infrastructure that powers them. 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: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own KPIs and dashboards end-to-end. Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery. Be a thought partner on measurement. Partner with stakeholders to define how success is measured across Garner's products and operations. Build scalable data pipelines. Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting. Develop deep domain expertise. Build a strong understanding of your analytical domain so you can independently drive meaningful insights. Close reporting gaps. Identify where coverage is missing and proactively develop new dashboards and insights to fill them. Raise the bar on data practices. Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams. Answer high-stakes, ambiguous questions. Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls. The ideal candidate has: 5+ years of experience in Data Analytics, Business Intelligence, or a similar data-centric role. Cross-functional translation. Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders. Autonomy and ownership. Comfortable working independently and owning reporting projects end-to-end. Automation mindset. Attention to detail with a bias toward automation and scalability over one-off work. AI Nativity. Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents. Making data accessible . A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific tool. Modern data stack. Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs. A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .