Technical Project Manager

THE ROLE:As a pivotal member of our team, you will transform the interaction dynamics between life sciences organizations and agents. Your creativity will help craft innovative experiences that seamlessly integrate into daily workflows. You will engage with cutting-edge models and develop interfaces that empower users to harness their capabilities effectivel…

Join basis-ai as a Technical Project Manager, where you will play a pivotal role in driving our technical projects to success. You'll collaborate with cross-functional teams, ensuring that all technical developments align with our strategic goals. Your expertise will guide project planning, execution, and delivery, making a lasting impact on the organization.

Vibecode is on a mission to make artificial intelligence accessible to 100 million more people. The team is dedicated to using advanced technology to inspire and educate, with a focus on the possibilities of AI-assisted coding. Role overview This New York City-based role centers on exploring how AI tools can influence the future of coding and design. The work involves building scalable design systems and paying close attention to visual details that set products apart. What you will do Use AI coding tools such as Cursor, Claude Code, and Codex to build and refine design systems. Work with fine design details, including subtle color distinctions (for example, #1f1f1f vs. #1d1d1d). Apply a strong sense of aesthetics and design judgment throughout your projects. Support the design process with Figma as needed. Who thrives here People who are deeply curious about technology and often pursue projects late into the night. Those with a strong work ethic who enjoy collaborating with a dedicated team and tackling challenging problems. Individuals who stay humble, take on any task, and value input from others.

About AnteriorAt Anterior, we are dedicated to revolutionizing the landscape of healthcare administration. Our mission is to ensure that healthcare operations are seamless and virtually invisible, enabling clinicians to concentrate on what truly matters - patient care. Our AI-driven platform, meticulously crafted by clinicians for clinicians, streamlines administrative tasks and enhances patient outcomes. By merging clinical knowledge with innovative technology, we are at the forefront of transforming healthcare operations through responsible AI.We are experiencing rapid growth, backed by prestigious investors such as Sequoia, New Enterprise Associates (NEA), and Neo, alongside notable angel investors including the founders of DeepMind, Google AI, and Inflection AI.At Anterior, we are committed to enhancing healthcare experiences for everyone. We strive to leverage technology in ways that make clinical decision-making as frictionless as possible.Our innovative technology is designed for large-scale clients, built on the principles of simplicity and robust foundations, ensuring that all aspects follow suit.The TeamOur engineering team at Anterior is characterized by a strong sense of product ownership and a commitment to solving significant challenges that simplify healthcare workflows. We work collaboratively in multidisciplinary teams to deliver secure, scalable, and user-centric solutions, adhering to best practices and modular design principles.We value diverse experiences and skill sets, continuously expanding our team to creatively and effectively address the challenges posed by modern healthcare.About YouYou possess a deep commitment to excellence, advocating for doing things The Right Way. You believe in the principle of Less is More and focus on the foundational elements of system design and architecture, such as pacelc and consistency guarantees. Your passion extends beyond the code you write; you are weary of over-engineered solutions and prioritize the fundamentals. With experience from dealing with complex and ineffective systems, you strive to create resilient, enduring code.We have openings across the stack, from infrastructure to frontend development. We invite you to share your proudest firefighting story during the interview, bring along your GitHub portfolio, and let's explore if we are a good match. If you are a junior developer with a passion for coding and innovation, we encourage you to apply. Share some of your work with us, and let's connect!About the RoleAs a Member of the Technical Staff at Anterior, you will take ownership of problems end-to-end, from system design to production. Your role will span across the stack (with a focus on backend), developing the core platform that facilitates clinical decision-making at scale. Daily tasks may involve:Collaborating with multidisciplinary teams to develop and deploy innovative solutions.Designing scalable systems that enhance operational efficiency in healthcare.Ensuring code quality through best practices and extensive testing.

Join Deeptune’s Innovative TeamAt Deeptune, we are pioneering the development of high-fidelity training environments for AI agents, enabling them to learn real-world tasks through advanced reinforcement learning techniques. Collaborating with leading AI laboratories, we are at the forefront of training the next generation of agentic models, contributing to significant advancements in computer operations, code generation, and complex task execution.Our close-knit team of around 20 talented engineers and operators, hailing from prestigious organizations such as Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, is based in New York City. Recently, we successfully secured $43 million in Series A funding, led by Andreessen Horowitz, with contributions from 776, Abstract Ventures, and Inspired Capital.If you are eager to tackle some of the toughest challenges at the intersection of reinforcement learning and practical AI implementation, we would love to connect with you!Learn more: Fortune Exclusive on Our Series A | a16z: Why We’re Investing in Deeptune

Role Overview reflectionai is seeking a Technical Staff Member for the IT Engineering team in New York. This role focuses on designing, building, and maintaining IT infrastructure that supports the company’s work in artificial intelligence. What You Will Do Work closely with team members to develop and support IT systems Contribute to the design and implementation of infrastructure projects Help maintain reliable, scalable technology to back AI initiatives About the Team Join a group of engineers committed to advancing reflectionai’s technology. Collaboration and hands-on problem-solving are at the core of this team’s approach.

The Director of Technical Project Management at Yext leads a team responsible for delivering technical projects that drive the company’s business goals. This position is based in New York, NY and combines direct project oversight with team leadership and process development. Key responsibilities Guide and support a group of project managers working on complex technical initiatives Oversee project delivery to ensure efficiency, timely completion, and alignment with company strategy Foster collaboration and help maintain a strong, high-performing team environment Connect project outcomes to Yext’s larger business objectives Role focus This leadership role requires balancing hands-on involvement in project management with ongoing team mentorship and process improvement efforts.

About Us:At Modal, we empower AI teams with robust infrastructure solutions. Our platform offers instant access to GPUs, rapid container startups, and integrated storage, enabling seamless model training, batch processing, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototype to production effortlessly, without the complexities of infrastructure management.As a rapidly expanding organization based in New York, San Francisco, and Stockholm, we have achieved a remarkable nine-figure ARR and recently secured a Series B funding round at a valuation of $1.1 billion. Our extensive customer base, which includes industry leaders like Lovable, Scale AI, Substack, and Suno, depends on us for their production AI workloads.Joining Modal means becoming part of one of the fastest-growing AI infrastructure companies at a pivotal stage, with numerous opportunities for personal and professional growth. Our team is composed of the creators of renowned open-source projects (e.g., Seaborn, Luigi), academic scholars, international competition medalists, and seasoned engineering and product leaders with extensive experience.Your Role:We are seeking talented engineers who have a proven track record in optimizing machine learning systems for performance at scale. If you are passionate about contributing to open-source initiatives and enhancing Modal’s container runtime to improve language and diffusion models for higher throughput and reduced latency, we want to hear from you!Key Qualifications:A minimum of 5 years of experience in crafting high-quality, high-performance code.Proficient in working with PyTorch, high-level ML frameworks, and inference engines (e.g., vLLM or TensorRT).Strong understanding of Nvidia GPU architecture and CUDA programming.Hands-on experience in machine learning performance engineering, including optimizing GPU performance through techniques such as debugging SM occupancy, rewriting algorithms for compute efficiency, and minimizing host overhead.Familiarity with low-level operating system principles (Linux kernel, file systems, containers) is a plus.Willingness to work in-person at our offices in New York, San Francisco, or Stockholm.

As a Technical Project Manager at Collabera Inc., you will play a pivotal role in overseeing and guiding various technical projects from inception to completion. You will collaborate with cross-functional teams to ensure that project goals align with organizational objectives. Your expertise in project management methodologies will enable you to effectively manage resources, timelines, and stakeholder communications.

About FluidstackAt Fluidstack, we are at the forefront of creating infrastructure for advanced intelligence. We collaborate with leading AI laboratories, governments, and enterprises, including Mistral, Poolside, Black Forest Labs, Meta, and others to facilitate computing capabilities at unprecedented speeds.Our commitment to realizing Artificial General Intelligence (AGI) is driven by urgency and excellence. Our dedicated team is passionate about delivering top-tier infrastructure, considering our customers' success as our own. If you are driven by purpose, have a relentless pursuit of excellence, and are prepared to work diligently to propel the future of intelligence, we invite you to help us shape what comes next.About the RoleAs a Member of Technical Staff in Corporate IT, you will engage in managing identities, devices, and SaaS platforms while providing support to end users. The ideal candidate will be organized, collaborative, and eager to learn within established frameworks.Deliver hands-on IT support to our in-office and remote employees by effectively resolving Help Desk tickets with a focus on exceptional customer service.Manage Fluidstack’s Mobile Device Management (MDM) fleet, which includes macOS, iOS, and Windows devices.Provide in-office support through troubleshooting basic network issues along with A/V systems.Assist in managing and optimizing Okta and our key SaaS tools by overseeing integrations and role-based access controls.Support daily procurement and asset management by coordinating hardware purchases, tracking assets, and maintaining accurate inventory throughout their lifecycle from acquisition to decommissioning.Help keep IT documentation clear, organized, and accessible by developing user-friendly technical documents for both technical and non-technical audiences.Contribute to IT projects by assisting in execution, prioritizing tasks, and ensuring transparent communication with stakeholders through regular updates.Maintain a secure environment by supporting essential security practices, including access reviews and basic identity security tasks.Assist in the onboarding and offboarding processes for Fluidstack employees and contractors.Support the IT team by creating straightforward, reliable automations that minimize manual tasks and enhance operational efficiency.

Role overview Heidi Health is seeking a Technical Project Manager based in New York. This position leads cross-functional teams to deliver projects that enhance the company’s health technology products. The Technical Project Manager guides projects from the planning stage through execution and delivery, ensuring work remains aligned with company objectives and timelines. What you will do Lead teams from multiple functions to deliver complex projects Collaborate with product managers, engineers, and other stakeholders to define project objectives and set priorities Track project progress, making adjustments as needed to keep efforts on schedule and within scope Identify and address risks throughout each stage of the project Communicate updates and project status to all stakeholders Foster a collaborative, high-performing team environment Collaboration and communication This role involves regular coordination with product, engineering, and other teams. Strong communication skills are important for sharing information and supporting problem-solving when challenges arise.

About SciemoSciemo is revolutionizing the consumer goods industry through advanced AI technology that empowers businesses to make quicker, smarter, and more human decisions throughout the Integrated Business Planning (IBP) process. Our platform turns chaotic, fragmented data into actionable insights, aiding decision-makers in real-time by simplifying complexity.OverviewAs a pioneering startup, Sciemo specializes in AI solutions tailored for consumer brands. We harness machine learning, generative AI, agent-based systems, and graph technologies to deliver insights in seconds and tangible business outcomes in minutes.Your RoleWe are on the lookout for a Founding Member of Technical Staff, who will serve as both a Data Scientist and a Machine Learning Engineer. In this critical position, you will be instrumental in the design, development, and deployment of the intelligence that powers our AI products. You’ll engage in a wide range of applied AI efforts, from data science and machine learning to large-scale production engineering. This dual role demands not only advanced model development expertise but also the engineering acumen to implement and sustain robust, scalable systems.You will work closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure our AI systems provide measurable value in practical scenarios. As one of our initial technical team members, you will help shape our AI strategy, establish technical standards, and set best practices for scalable applied AI.Key ResponsibilitiesDevelop and Deploy AI Systems:Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or comparable).Design and implement comprehensive AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Establish automated pipelines for continuous learning, model promotion, and performance monitoring.System Architecture & Reliability:Lead the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to guarantee reproducibility and system reliability.

About UsAt Cohere, we're on a mission to harness and scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to fostering the widespread adoption of AI technologies.Our passion for excellence drives us to continuously enhance our models and the value they deliver to our clients. We thrive in a fast-paced environment where hard work and innovation are paramount to achieving the best outcomes for our users.Cohere is made up of a diverse team of researchers, engineers, designers, and more, all of whom are leaders in their fields. We believe that a variety of perspectives is essential to creating outstanding products.Join us in our quest to shape the future!Role OverviewOur rapidly expanding team of researchers and engineers is dedicated to building robust machine learning systems and enhancing the efficiency of large language model (LLM) inference. We focus on developing innovative techniques that improve production execution of models, resulting in reduced latency, increased throughput, and consistent performance across various workloads.As a member of this team, you will engage with the inference stack to enhance key performance metrics by analyzing model execution, identifying performance bottlenecks, and crafting pioneering optimizations. You will work closely with both modeling and systems teams to test, measure, and implement enhancements that significantly improve inference speed. As the team progresses, you will have the chance to deepen your knowledge in advanced performance techniques, including GPU/CUDA optimizations, kernel-level enhancements, and execution strategies for mixture of experts (MoE) and large-scale architectures.Note: Cohere has offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul, and London. We embrace a remote-friendly approach, strategically distributing teams based on interests, expertise, and time zones to enhance collaboration and flexibility. The Model Efficiency team is primarily based in the EST and PST time zones.Who You Are5+ years of experience coding high-performance, production-level softwareProficient in C++ or Python (experience in Rust/Go is also a plus)Strong understanding of machine learning concepts and frameworksExperience in optimizing ML systems for production environmentsExcellent problem-solving skills and ability to collaborate effectively in a team setting

Join Innovative Solutions as a Technical Project Manager specializing in Cloud technologies. You will effectively oversee projects within our extensive AWS account portfolio. The ideal candidate will possess a unique mix of project management expertise and technical skills, excel in customer relations, and thrive in a dynamic environment with the capacity to juggle multiple projects simultaneously! Key Responsibilities:1. Guide and direct technical team members to ensure progress towards established project milestones.2. Collaborate with cross-functional teams to allocate resources effectively in alignment with project timelines and requirements.3. Manage and deliver a variety of projects, including Cloud Migrations, Application Modernization, Development, and AI/ML initiatives.4. Provide regular updates on project status to both internal teams and external stakeholders.5. Ensure the successful delivery of projects within the outlined scope, budget, and timeline.6. Work closely with internal stakeholders to define project scope and client objectives, while managing risks and maintaining quality standards.7. Effectively oversee multiple projects simultaneously, including their schedules, budgets, and deliverables.8. Manage and nurture customer relationships.9. Present and review final deliverables with clients, gathering feedback and identifying further opportunities for engagement.

About UsAt Chakra Labs, we are dedicated to transforming human taste into a sophisticated intelligence framework. Our focus is on creating high-fidelity trajectories and environments that push the boundaries of AI research, collaborating with leading laboratories in the field.Why Join Us?Engage with cutting-edge technologies spanning data, AI, and infrastructure.Receive mentorship from a highly qualified and experienced team.Enjoy a competitive salary package, comprehensive benefits, and a daily meal stipend of $30, alongside an attractive equity offering.Considerations Before ApplyingThis is our passion. While we value fun, we are dedicated to hard work. If you prefer a standard 9-5 role, this may not be the right environment for you.Uncertainty is part of the journey. The landscapes of data and AI are ever-evolving. While we have a defined mission, those uncomfortable with ambiguity may find this role challenging.Your ProfileAdvanced Knowledge: You hold a Master's or PhD in machine learning, with a solid grasp of linear algebra and stochastic gradient descent, capable of deriving linear regression manually.Post-Training & Environments: You’re adept at executing SFT on distributed GPU clusters utilizing FSDP. You possess a keen interest in enhancing existing models with high-quality data and can conceptualize new environments and online reinforcement learning (GRPO, PPO).Proficient in Python: Familiarity with FastAPI and PyTorch is essential, including REST APIs and backend development, along with the ability to abstract high-level concepts in Torch using lower-level primitives.Experience: We seek approximately 3-5 years of relevant experience, though we value skills and alignment with our expectations over strict qualifications.

Our MissionAt Reflection AI, our mission is to develop open superintelligence and make it available to everyone.We are creating open weight models that cater to individuals, agents, enterprises, and even nations. Our skilled team of AI researchers and innovators hails from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.About the RoleThe Compute Platform team at Reflection AI focuses on ensuring our compute layer is robust and highly available. Our K8s-based platform spans multiple neo-clouds, tackling complex systems challenges related to multi-cloud scheduling, node health, and performance debugging. You will collaborate closely with our training teams to design strategies for fault tolerance, health checks, and remediation processes.Key ResponsibilitiesCluster Management: Develop and maintain tools for automatic remediation, topology-aware scheduling, capacity planning, and expedited hardware debugging.Platform Engineering: Design and refine our cluster management stack to efficiently handle workloads across extensive multi-GPU fleets.Monitoring & Observability: Establish an all-encompassing monitoring system for the cluster, emphasizing durability and active performance benchmarking.Roadmap Execution: Prepare the infrastructure for next-gen GPU deployments and larger cluster sizes. In the long run, you will contribute to managing multi-cloud storage, petabyte-scale data replication, and optimizing GPU-to-GPU network performance.

Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.

Our MissionAt Reflection AI, our mission is to develop open superintelligence accessible to everyone.We are creating open weight models for individuals, enterprises, agents, and nation-states. Our diverse team includes AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.FoundationsVision: We aim to establish and maintain a company-wide foundational platform designed to enhance every team by offering dependable, scalable development infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools. This enables Reflection to expedite its growth as we scale.What This Team DoesOur team builds and manages the essential platform layer that every engineering team relies on. We craft clear, opinionated golden paths for cloud infrastructure, networking, and access patterns, ensuring that the safest and most scalable routes are also the easiest to navigate. We work across various domains including cloud infrastructure, network primitives, security protocols, and developer tools to empower engineers to deploy rapidly while ensuring reliability, security, and cost predictability.Define and uphold golden paths for cloud projects and access patterns.Implement secure defaults and guardrails, making the safe path the most straightforward option.Construct and manage core networking components such as routing, DNS, load balancing, and connectivity.Establish baseline observability and operational best practices across services and infrastructure.Oversee developer infrastructure including build systems, CI/CD, caching, and testing infrastructure to facilitate rapid shipping.Enhance cloud cost visibility and reduction through effective tooling, guardrails, and optimization strategies without hindering team progress.What You'll Work WithCloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud configurations, VPC architecture, private DNS, load balancers, advanced routing (BGP), and large-scale Kubernetes clusters.Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, and cloud guardrails.Infrastructure & Automation: Terraform, Pulumi, foundational Kubernetes, CI/CD systems, Bazel, build caching, and hermetic builds.Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, and more.

Role overview anterior seeks a Senior Member of Technical Staff with a strong technical background and a practical mindset. This is a fully remote role. The team emphasizes collaboration and creative approaches to overcome challenges and keep projects on track. What you will do Collaborate with engineers and other colleagues to design and develop new technologies Help implement systems that shape the future of anterior’s products Use technical expertise to tackle complex problems and deliver outcomes Remote work anterior is headquartered in New York, but this position is open to candidates working from any location.