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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1. As we scale from breakthrough research to sustainable business impact, we are looking for a BizOps Lead to work directly with our founders, Chief of Staff, and leadership team to solve the most critical operational challenges and build the foundation for our next phase of growth. Why this role matters This role is critical to driving the next stage of growth and operational excellence at Black Forest Labs. As our Business Operations Lead, you'll work as a versatile problem-solver across the business, partnering directly with senior leaders to tackle the highest-priority challenges as they emerge. Reporting directly to the Chief of Staff (our first business hire who built out multiple functions), you'll serve as a force multiplier - gaining broad exposure to all aspects of scaling a high-growth AI company, from technical operations to GTM, operations, and finance. You'll craft pragmatic solutions, align diverse stakeholders, and own the delivery of high-impact initiatives wherever they're most needed. This is a high-leverage role with direct exposure to executive decision-making and the opportunity to shape how we operate at scale. What you'll do Work across multiple business functions as priorities shift, serving as connective tissue across R&D, GTM, Finance & Operations Drive special projects and strategic initiatives on behalf of the CoS and founding team, owning end-to-end delivery Define, track, and optimize key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Own monthly business reviews - synthesize performance trends, insights, and recommendations into clear narratives for leadership Deep dive into critical business drivers - uncovering operational bottlenecks, inefficiencies, and opportunities for improvement across both business and technical operations Partner with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Support executive communications - prepare board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-test strategic alignment - assess current projects against multi-year goals to ensure daily execution builds toward long-term success What we're looking for 4–6 years of combined experience in business operations, strategy, consulting (MBB), investment banking, venture capital, or private equity - with at least 1–2 years as an operator within a high-growth company Bias for action with a can-do attitude - you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving towards outcomes Executive presence and influence - proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions Ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization Commercially minded with sharp focus on translating operations into revenue growth and market impact Exceptional communicator with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI Nice to have Prior experience in AI, generative AI, or ML-adjacent businesses Highly analytical, with advanced modeling expertise and familiarity with SQL

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1. As we scale from breakthrough research to sustainable business impact, we are looking for a BizOps Lead to work directly with our founders, Chief of Staff, and leadership team to solve the most critical operational challenges and build the foundation for our next phase of growth. Why this role matters This role is critical to driving the next stage of growth and operational excellence at Black Forest Labs. As our Business Operations Lead, you'll work as a versatile problem-solver across the business, partnering directly with senior leaders to tackle the highest-priority challenges as they emerge. Reporting directly to the Chief of Staff (our first business hire who built out multiple functions), you'll serve as a force multiplier - gaining broad exposure to all aspects of scaling a high-growth AI company, from technical operations to GTM, operations, and finance. You'll craft pragmatic solutions, align diverse stakeholders, and own the delivery of high-impact initiatives wherever they're most needed. This is a high-leverage role with direct exposure to executive decision-making and the opportunity to shape how we operate at scale. What you'll do Work across multiple business functions as priorities shift, serving as connective tissue across R&D, GTM, Finance & Operations Drive special projects and strategic initiatives on behalf of the CoS and founding team, owning end-to-end delivery Define, track, and optimize key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Own monthly business reviews - synthesize performance trends, insights, and recommendations into clear narratives for leadership Deep dive into critical business drivers - uncovering operational bottlenecks, inefficiencies, and opportunities for improvement across both business and technical operations Partner with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Support executive communications - prepare board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-test strategic alignment - assess current projects against multi-year goals to ensure daily execution builds toward long-term success What we're looking for 4–6 years of combined experience in business operations, strategy, consulting (MBB), investment banking, venture capital, or private equity - with at least 1–2 years as an operator within a high-growth company Bias for action with a can-do attitude - you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving towards outcomes Executive presence and influence - proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions Ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization Commercially minded with sharp focus on translating operations into revenue growth and market impact Exceptional communicator with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI Nice to have Prior experience in AI, generative AI, or ML-adjacent businesses Highly analytical, with advanced modeling expertise and familiarity with SQL

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role and Team:Captions seeks an exceptional Research Engineer (MOTS) to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users.You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. We're a team that loves diving deep into technical problems and emerging with practical solutions.Our team values:Quick iteration and practical solutions.Open discussion of technical approaches.Direct access to decision makers.Regular sharing of learnings, results, and iterative work.Key Responsibilities:Infrastructure Development:Build performant pipelines for processing video and multimodal training data at scale.Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets.Create efficient data loading systems optimized for GPU training throughput.Implement comprehensive telemetry for video processing and training pipelines.Core Systems Development:Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline.Build robust data validation and quality measurement systems for video and multimodal content.Design systems for data versioning and reproducing complex multimodal training runs.Develop efficient storage and compute patterns for high-dimensional data and learned representations.System Optimization:Own and improve end-to-end training pipeline performance.Build systems for efficient storage and retrieval of video training data.Build frameworks for systematic data and model quality improvement.Develop infrastructure supporting fast research iteration cycles.Build tools and systems for deep understanding of our training data characteristics.Research & Product Impact:Build infrastructure enabling rapid testing of research hypotheses.Create systems for incorporating user feedback into training workflows.Design measurement frameworks that connect model improvements to user outcomes.Enable systematic experimentation with direct user feedback loops.Requirements: Technical Background:Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.3+ years experience in ML infrastructure development or large-scale data engineering.Strong programming skills, particularly in Python and distributed computing frameworks.Expertise in building and optimizing high-throughput data pipelines.Proven experience with video/image data pre-processing and feature engineering.Deep knowledge of machine learning workflows, including model training and data loading systems.System Development:Track record in performance optimization and system scaling.Experience with cluster management and distributed computing.Background in MLOps and infrastructure monitoring.Demonstrated ability to build reliable, large-scale data processing systems.Engineering Approach:Love tackling hard technical problems head-on.Take ownership while knowing when to loop in teammates.Get excited about improving system performance.Want to work directly with researchers and engineers who are equally passionate about building great systems.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the RoleAs an expert in making AI models run fast—really fast—you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance.Key ResponsibilitiesOptimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUsDesign, implement, and benchmark custom CUDA and Triton kernels for performance-critical operationsIntegrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passesProfile and debug the entire stack—from kernel launches to multi-GPU I/O paths—using Nsight, nvprof, PyTorch Profiler, and custom toolsWork closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art qualityStay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impactCollaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experimentsProvide clear, data-driven insights and trade-offs between performance, quality, and costContribute to a culture of fast iteration, thoughtful profiling, and performance-centric designRequired QualificationsBachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloadsDeep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuningStrong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel trainingProven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives)Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as KubernetesPreferred QualificationsAdvanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related fieldExperience with multi-modal AI systems, particularly video generation or computer vision modelsFamiliarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniquesKnowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworksExperience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster managementAbility to translate research goals into performant code, balancing numerical fidelity with hardware constraintsStrong communication skills and experience mentoring junior engineersBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role:Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities:Research & Architecture Development:Design and implement novel architectures for large-scale video and multimodal diffusion modelsDevelop new approaches to multimodal fusion, temporal modeling, and video controlResearch temporal video editing techniques and controllable generationResearch and validate scaling laws for video generation modelsCreate new loss functions and training objectives for improved generation qualityDrive rapid experimentation with model architectures and training strategiesValidate research directly through product deployment and user feedbackModel Training & Optimization:Train and optimize models at massive scale (10s-100s of billions of parameters)Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LMDesign and implement model surgery techniques (pruning, distillation, quantization)Create new approaches to memory optimization and training efficiencyResearch techniques for improving training stability at scaleConduct systematic empirical studies of architecture and optimization choicesTechnical Innovation:Advance state-of-the-art in video model architecture design and optimization Develop new approaches to temporal modeling for video generationCreate novel solutions for multimodal learning and cross-modal alignmentResearch and implement new optimization techniques for generative modeling and samplingDesign and validate new evaluation metrics for generation qualitySystematically analyze and improve model behavior across different regimesRequirements:Research Experience:Master's or PhD in Computer Science, Machine Learning, or related fieldTrack record of research contributions at top ML conferences (NeurIPS, ICML, ICLR)Demonstrated experience implementing and improving upon state-of-the-art architecturesDeep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.)Strong background in optimization techniques and loss function designExperience with empirical scaling studies and systematic architecture researchTechnical Expertise:Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.)Experience training diffusion models with 10B+ parametersExperience with very large language models (200B+ parameters) is a plusDeep understanding of attention, transformers, and modern multimodal architecturesExpertise in distributed training systems and model parallelismProven ability to implement and improve complex model architecturesTrack record of systematic empirical research and rigorous evaluationEngineering Capabilities:Ability to write clean, modular research code that scalesStrong software engineering practices including testing and code reviewExperience with rapid prototyping and experimental designStrong analytical skills for debugging model behavior and training dynamicsFacility with profiling and optimization toolsTrack record of bringing research ideas to productionExperience maintaining high code quality in a research environmentAbout the Team:You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.Our team values:Open technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat sets us apart:Opportunity to advance the state-of-the-art in video generationDirect impact on products used by millions of creatorsAccess to massive compute resources and diverse, large-scale datasetsEnvironment that values both research excellence and practical impactAbility to validate research through direct product feedbackBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities:Inference & DeploymentDevelop high-performance GPU-based inference pipelines for large multimodal diffusion models.Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale.Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs.Model Optimization & Fine-TuningLeverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality.Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback.Production MLOpsDesign and maintain automated CI/CD pipelines for model deployment, versioning, and rollback.Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems.Performance & ScalingExplore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs.Requirements: Technical ExpertiseProven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.).Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving.Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow).Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models.Experience profiling and optimizing model inference (batching, concurrency, hardware utilization).InfrastructureHands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML.Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems.Domain ExperienceExposure to diffusion models, multimodal video generation, or large-scale generative architectures.Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the roleOpenAI is seeking a highly motivated and experienced Account Director to join our Startups Go To Market team. You will play a critical role in owning relationships with top startup customers and supporting them in building successfully on the OpenAI platform.We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups building effectively with OpenAI’s APIs, and provide access to OpenAI teams and expertise to support their growth.This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for serving as the primary relationship owner for a set of strategically important startup customers, as well as working across the OpenAI organization to help these startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, support, and solutions architecture to help customers get the most out of our models.This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Manage a portfolio of startups accounts, developing and executing strategies for a comprehensive account planPartner with solutions and research engineering to build and execute complex customer programs and projectsOwn a consumption revenue targetManage consumption revenue forecastsAnalyze key account metrics to create reports and provide insights to internal and external stakeholdersClosely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategiesCollaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineeringServe as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startupsClosely monitor the industry landscape and startup landscape to contribute to product roadmap and other corporate strategiesSupport the recruitment and onboarding of other teammatesSupport the development of company cultureWe're seeking someone with experience including:6+ years selling platform-as-a-service and/or software-as-a-serviceDesigning and executing complex deal strategiesExperience working in or around the startup ecosystem, preferably as either a founder of a startup, an employee of a startup, or someone who worked with startup customersSupporting the growth of fast-growing, high-performance companiesWorking directly with C-level executivesCommunicating technical concepts to customers and internal stakeholdersLeading high-visibility customer events (CAB, conferences, product launches, etc.)Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training.We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings.Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models.About the RoleWe are looking for engineers to operate the next generation of compute clusters that power OpenAI’s frontier research.This role blends distributed systems engineering with hands-on infrastructure work on our largest datacenters. You will scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layer that hides the complexity of a magnitude of nodes across multiple data centers.You will work at the intersection of hardware and software, where speed and reliability are critical. Expect to manage fast-moving operations, quickly diagnose and fix issues when things are on fire, and continuously raise the bar for automation and uptime.In this role, you will:Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle managementBuild software abstractions that unify multiple clusters and present a seamless interface to training workloadsOwn node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scaleImprove operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cyclesIntegrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructureDevelop monitoring and observability systems to detect issues early and keep clusters stable under extreme loadBe expected to execute at the same level as a software engineerYou might thrive in this role if you:Have deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environmentsBring strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormationAre comfortable with bare-metal Linux environments, GPU hardware, and large-scale networkingEnjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual workCan balance careful engineering with the urgency of keeping mission-critical systems runningQualificationsExperience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environmentsStrong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloadsProficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operationsBonus: background with GPU workloads, firmware management, or high-performance computingAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Data Engineering team at Basis owns and builds the tooling that allows our agents to interact with data from outside of Basis.We care deeply about clarity: clean abstractions, simple mental models, and clear interfaces that help our AI and product teams move fast without breaking things.About the RoleAs a Tech Lead on the Data Engineering team, you'll own the technical vision for how agents interact with data from other systems.You'll design solid architectures, make trade-offs clear, and teach others how to think about distributed systems effectively. You'll ensure consistency across runtime, data, and schema layers so our systems scale predictably and stay understandable as we grow.You'll lead by example through your code, design reviews, and documented decisions, making sure the platform is both powerful and elegantly simple.What you’ll be doing:Build and standardize our data platformDesign data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.Define schemas and data contracts that balance flexibility with correctness.Build validation, lineage tracking, and drift detection into every pipeline.Create interfaces that make data discoverable, computable, and observable throughout the system.Model the domain as a systemTranslate accounting concepts into well-structured ontologies: entities, relationships, and rules.Create abstractions that help AI systems reason safely about real-world constraints.Design for clarity: make complex workflows understandable through schema, code, and documentation.Lead through clarity and technical excellenceOwn the architectural vision for your area and keep it consistent over time.Run effective design reviews that challenge assumptions and drive alignment.Mentor engineers on how to think about systems: from load testing to schema design to observability patterns.Simplify aggressively by removing unnecessary complexity and maintaining clean, stable abstractions.📍 Location: NYC, Flatiron office. In-person team.In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About the TeamOur Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.About the RoleWe’re looking for a senior engineer to design and build the load balancer that will sit at the very front of our research inference stack - routing the world’s largest AI models with millisecond precision and bulletproof reliability. This system will serve research jobs where requests must stay “sticky” to the same model instance for hours or days and where even subtle errors can directly degrade model performance.In this role, you will:Architect and build the gateway / network load balancer that fronts all research jobs, ensuring long-lived connections remain consistent and performant.Design traffic stickiness and routing strategies that optimize for both reliability and throughput.Instrument and debug complex distributed systems — with a focus on building world-class observability and debuggability tools (distributed tracing, logging, metrics).Collaborate closely with researchers and ML engineers to understand how infrastructure decisions impact model performance and training dynamics.Own the end-to-end system lifecycle: from design and code to deploy, operate, and scale.Work in an outcome-oriented environment where everyone contributes across layers of the stack, from infra plumbing to performance tuning.You might thrive in this role if you:Have deep experience designing and operating large-scale distributed systems, particularly load balancers, service gateways, or traffic routing layers.Have 5+ years of experience designing in theory for and debugging in practice for the algorithmic and systems challenges of consistent hashing, sticky routing, and low-latency connection management.Have 5+ years of experience as a software engineer and systems architect working on high-scale, high-reliability infrastructure.Have a strong debugging mindset and enjoy spending time in tracing, logs, and metrics to untangle distributed failures.Are comfortable writing and reviewing production code in Rust or similar systems languages (C/C++, Java, Go, Zig, etc).Have operated in big tech or high-growth environments and are excited to apply that experience in a faster-moving setting.Take ownership of problems end-to-end and are excited to build something foundational to how our models interact with the world.Nice to have:Experience with gateway or load balancing systems (e.g., Envoy, gRPC, custom LB implementations).Familiarity with inference workloads (e.g., reinforcement learning, streaming inference, KV cache management, etc).Exposure to debugging and operational excellence practices in large production environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As a Solutions Architect, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the RoleWe are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn this role, you will:Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.Contribute to our open-source developer and enterprise resources.Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.You’ll thrive in this role if you:Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.Are an effective and polished communicator who can translate business and technical topics to all audiences.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Data Engineering team at Basis owns and builds the tooling that allows our agents to interact with data from outside of Basis.We care deeply about clarity: clean abstractions, simple mental models, and clear interfaces that help our AI and product teams move fast without breaking things.About the RoleAs a data engineer at Basis you'll own projects completely from scoping to delivery. You'll be the Responsible Party (RP) for the systems you design. That means you decide how to build them, how to measure success, and when they're ready to ship.We trust you to manage yourself. You'll plan your own projects, work closely with your pod, and take full responsibility for execution and quality. You'll build systems that serve every part of Basis: AI, product, and internal agents. And you'll make those systems fast, reliable, and easy to understand.What you’ll be doing:Build and standardize our data platformDesign data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.Define schemas and data contracts that balance flexibility with correctness.Build validation, lineage tracking, and drift detection into every pipeline.Create interfaces that make data discoverable, computable, and observable throughout the system.Model the domain as a systemTranslate accounting concepts into well-structured ontologies: entities, relationships, and rules.Create abstractions that help AI systems reason safely about real-world constraints.Design for clarity: make complex workflows understandable through schema, code, and documentation.Lead through clarity and technical excellenceOwn the architectural vision for your area and keep it consistent over time.Run effective design reviews that challenge assumptions and drive alignment.Mentor engineers on how to think about systems: from load testing to schema design to observability patterns.Simplify aggressively—removing accidental complexity and enforcing clean, stable abstractions.📍 Location: NYC, Flatiron office. In-person team.In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.The RoleWe’re looking for a Partnerships Lead to build and scale Reflection’s external partnerships from the ground up. This is a senior, hands-on role focused on identifying, structuring, and managing high-impact relationships that advance our mission and growth. You’ll design the partnership framework, work cross-functionally to execute it, and help shape how Reflection engages with the broader ecosystem.As one of the first hires dedicated to this function, you’ll be both strategic and operational, equally comfortable setting long-term partnership priorities and managing the day-to-day work required to make them happen.What You’ll DoDevelop and execute Reflection’s partnerships strategy across technical and commercial partnerships.Identify and cultivate relationships with organisations that align with our mission and model development goals (ex. Hyperscalers, GSIs, Technical Partners etc.)Establish distribution relationships to serve regulated industries and public sectorHire and build a team of partner managers to scale the partnership organization. Structure partnership frameworks, MOUs, and joint initiatives that create mutual valueCollaborate with internal teams (research, engineering, , operations, leadership, sales) to support technical collaborations and co-selling GTM.Represent Reflection externally at events / conferences / industry forums to strengthen our visibility and networkBuild lightweight internal processes for evaluating, tracking, and reporting partnership outcomesWhat We’re Looking For10+ years of experience in partnerships, business development, or strategic relationship management within AI, SaaS or Consulting. Early stage startup experience History of successfully negotiating seven-figure, complex deals. Exceptional communication and relationship management skills across varied stakeholdersAbility to navigate ambiguity, take initiative, and operate independentlyExperience working cross-functionally with technical and non-technical teamsA genuine interest in Reflection’s mission and the evolving AI ecosystemWhat We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re looking for an exceptional Product Leader to own and scale our Chat product - one of our most strategically important initiatives and growth engines for the business. This role reports directly to the founders and carries significant ownership to shape the future of how work gets done through our AI-powered chat interface. You will be responsible for taking Chat from its early infancy to millions of users, defining the product vision, strategy, and execution across all dimensions.As the Product Leader, you will own the complete product strategy and execution, from understanding user needs and competitive dynamics to shipping features, optimizing funnels, and driving adoption. You will work closely with engineering, design, and our enterprise team to balance both self-serve, product-led growth opportunities and enterprise requirements.You'll need to think like a founder - bringing vision, autonomy, and the ability to make compelling cases for your roadmap. This is a hands-on role where you'll be deeply involved in product decisions, user research, and strategy, while also collaborating with stakeholders across the organization to ensure Chat becomes a flagship product that transforms how people delegate work to AI.Your impact💥Define and execute a bold product vision for Chat, aligned with our mission of empowering anyone to delegate work to an AI workforce.Own the end-to-end product strategy, from conception through launch, with accountability for scaling Chat to millions of weekly active users.Drive product-led growth strategy while balancing enterprise customer needs and ensuring the product serves both segments seamlessly.Collaborate closely with product, engineering, and executive teams to prioritize features, define the product roadmap and execute with a high degree of excellence.Establish new product processes, best practices, and metrics frameworks that enable scalability and data-driven decision-making.Conduct user research and champion a deep understanding of customer needs to inform product strategy.Lead major product initiatives that define how users interact with and trust AI agents to complete their work.Demonstrate founder mindset with high autonomy, strong product taste, and the ability to articulate and sell the vision both internally and externally.What We’re Looking For 🧠Proven track record leading consumer-facing or prosumer SaaS products that have scaled to 1M+ active users - ideally from early stages to significant scale.Deep expertise in product-led growth (PLG) strategies, self-serve funnels, and driving both user acquisition and engagement at scale.Founder mindset with high autonomy, strong product taste, and the ability to articulate and sell a compelling product vision.Proven ability to take ambiguous problems and define clear product strategies, from research and validation through execution.Understanding of what makes products "sticky"—user retention, engagement metrics, and the factors that drive adoption in competitive markets.Passion for AI and the future of work, with a vision for how AI-powered interfaces will transform how people accomplish tasks.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role As a member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration.  Skills and Qualifications Required      10+ years of physical design/verification experience.      Strong knowledge of block level and full-chip physical verification methodology.      Expert at optimizing for the best power/performance and area.     Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.      Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.      Expert with IR/EM analysis and resolution.     Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements.      Demonstrated ability to work with RTL teams to optimize for physical design.     Knowledge of 2.5D or 3D packaging solutions. Preferred         Experience doing full chip floor planning and integration.        Knowledge of clock distribution.     Knowledge of cooling analysis. The salary range for this position is $150,000 – $270,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.