Machine learning engineer jobs in New York, New York - Page 4Create job alerts

Job Description Basic Qualifications: • Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java., • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Ability to lead projects with several cross-org dependencies and design complexities, • Large-scale training using data structures and algorithms, • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Preferred Qualifications • PhD or equivalent in Computer Science, Engineering, Mathematics or related field, • 8+ years of experience in professional software development experience, developing and deploying systems in production environments, • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib, • Excellent communication skills and the ability to collaborate effectively with cross-functional teams, • Ability to mentor and grow a group of other Software Engineers, • Anomaly Detection Techniques, • Deep Learning, • Scalable ML architecture, • Feature management, • Causal ML, • Reinforcement learning Anticipated base 250-280k + bonus + equity and comprehensive benefits

Job Description 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 Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’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 & Deployment * Develop 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-Tuning * Leverage 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 MLOps * Design 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 & Scaling * Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: * Technical Expertise * Proven 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). * Infrastructure * Hands-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 Experience * Exposure 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 plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions 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. Compensation Range: $175K - $275K

Job DescriptionLead Engineer, Machine Learning • Location: NYC, • In-office 3-4 days per week, • Reports to: Director of Engineering and CEO In 2024, over 10,000 private companies pursued an exit via the platform, leading to over 1,000,000 platform connections, 75,000+ signed NDAs, and hundreds of millions of dollars in successfully closed transactions (). About the Role We are hiring a Lead Engineer to lead the planning, architecting and coding of ML and related advanced technologies into our recommendation systems and core product experiences. Our current algorithmically-driven approach is effective but insufficient. Customer and technical research makes us confident that there is significant user experience and commercial upside by incorporating and matching real-time private data sets that we have gathered via platform usage and 3rd party aggregation. We are searching for a technically excellent lead engineer who can lead the creation of ML and AI capabilities at Axial, collaborate with the existing team, help us grow the team over time, and ship roadmaps that materially upgrade the customer experience. What You'll Take On • Design, develop, and deploy ML/AI-driven models to enhance our matching engines, industry classification systems, and more., • Help establish ML and MLOps best practices that lay a groundwork for sustained AI/ML development at Axial., • Collaborate with product managers, engineers, and business stakeholders to define and execute AI strategies aligned with company objectives., • Optimize AI and machine learning models for speed, accuracy, and scalability, ensuring reliable integration into Axial's platform., • Develop and refine recommendation systems, applying NLP, deep learning, and predictive analytics to improve buyer-seller matchmaking., • Create clear documentation and visualizations to communicate insights and recommendations to technical and non-technical audiences.Who We're Looking For, • 5+ years of experience using AI/ML and related technologies to improve consumer or B2B software experiences., • Strong production expertise building, modifying, and scaling machine learning recommendation systems / engines, • Familiarity with SQL and data warehouses (e.g., AWS Redshift) for AI-driven analytics., • Strong problem-solving skills with the ability to work independently in a fast-paced environment.Our stack, • Python (FastAPI), Postgres (RDS), • Angular 18+, Typescript, • Terraform, AWS EC2/EKS, OpenTelemetry, Grafana/Prometheus/Loki/Tempo We are a team of ~50 employees with an overall technical organization of ~20 split among three squads. We have a senior, tightly-knit engineering team, where you will have the opportunity to have a direct impact on the product and the company. We use a "lite scrum" process, including daily stand-ups, bi-weekly sprints, sprint demos and retrospectives. Since much of our team is fully remote, we use Shortcut to track our work through the development cycle. Below are Axial's core values. We believe in these and we practice them actively, so if you connect w/ these, you may enjoy working here: • Obsess Over Member Trust: Your daily choices reflect your awareness that we facilitate vital life-altering transactions. You consistently take this responsibility seriously and it's top of mind., • Expect and Deliver Excellence: You pursue consistent high performance so that your colleagues feel confident partnering and relying on you. You demonstrate a personal commitment to continuous improvement and you inspire it in others., • Communication Matters: You are concise and articulate in your communication, external or internal. You listen actively and genuinely and ask good questions., • Invent and Simplify: You are open-minded AND opinionated, looking for great new ideas that can elevate and even transform the member experience. You find novel ways to simplify complex status quos., • Be an Owner: You think about the long-term effects of your decisions. You take full responsibility for your work product. You invest real time in building genuine relationships with your teammates. NY Pay Range$300,000—$300,000 USD

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit. 9iXYRdTL5O

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Senior Data Engineer Location: Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one. Responsibilities • Architect and maintain robust data pipelines that scale across high-volume sources, • Develop an event taxonomy and normalization layer for clean, consistent data ingestion, • Use tools like Airflow and dbt to manage data workflows and transformation, • Collaborate with data science and ML teams to support model training and deployment, • Design optimized data models for reliable storage and analysis, • Monitor data workflows and troubleshoot issues across the full pipeline, • Implement ETL/ELT processes with a sharp eye for performance and reliability, • Contribute to feature engineering and A/B test infrastructure in big data environments, • Uphold high standards for data quality, security, and governance You Bring • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc..., • Strong Python and SQL chops, • Experience with asynchronous Python, • Familiarity with DAG tools like Airflow, dbt, or Dagster, • Comfort jumping between reporting layers and infrastructure architecture, • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions, • Knowledge of dev-ops best practices and containerized environments, • Strong communication skills—able to translate technical complexity clearly, • Ownership mindset with a bias for building, refining, and shipping production-quality systems The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This is a Hybrid role with the expectation that employees will begin working 2 days per week in our dedicated office space in San Francisco or New York City starting in September of 2025. About the Role Data is the lifeblood of Taskrabbit, and we are looking for a visionary leader to join as our Director of Data Engineering. In this critical role, you will own the data infrastructure that powers our entire business. You will be responsible for hiring, coaching, and directly managing the Data Engineering and Analytics Engineering teams, guiding them to design and build high-scale, reliable systems that ensure data accuracy, availability, and trustworthiness. As the Director of Data Engineering, you will be the senior-most engineer in the data organization, responsible for setting the vision, strategy, and standards for our data platform. You will implement best-in-class data warehousing practices, manage data governance, and create robust processes for data monitoring, alerting, and anomaly detection. You will partner closely with leaders across Data Science, Machine Learning, Product, and Engineering to define your team's roadmap, prioritize high-impact work, and deliver against timelines with high-quality software. This is a strategic role that requires a blend of deep technical expertise, strong leadership skills, and a passion for building the foundational systems that enable a data-driven culture. What You'll Work On: • Team Leadership & Development: Build, coach, and scale a high-performing, geographically distributed team of data and analytics engineers, fostering a culture of excellence, innovation, and accountability., • Strategic Vision & Roadmap: Proactively drive the vision for Taskrabbit's data platform. Define and execute a strategic roadmap that aligns with our broader data strategy and company objectives, focusing on scalability, reliability, and efficiency., • Engineering & Architectural Excellence: Promote data engineering best practices (CI/CD, coding, testing, observability, security) for maintainable, high-quality solutions. Lead data model design and define data warehousing best practices, overseeing foundational improvements., • Enable Self-Service Analytics: Champion and oversee the development of a semantic layer to provide a single source of truth for key business metrics, empowering teams across the company with self-service analytics capabilities., • Cross-Functional Partnership: Build strong, collaborative relationships with Data Scientists, Product Managers, and Software Engineers to understand their evolving data needs and deliver robust solutions., • Operational Excellence: Define and manage SLAs for all critical datasets and production processes. Implement and oversee a comprehensive observability strategy, including monitoring, alerting, and data quality checks., • Establish and Oversee Data Governance & Compliance: In collaboration with the Information Security Committee, establish and enforce data lifecycle management policies, including data retention and disposal procedures. Lead initiatives to ensure the data platform meets and maintains compliance with global regulations., • Ensure Data Reporting Correctness and Accuracy: Implement a robust data quality framework to guarantee accurate, consistent, and reliable data for reporting and analysis. This involves defining data quality metrics, automating monitoring and alerting, and establishing rapid issue resolution processes., • 5+ years of experience as a data engineering leader, with a proven track record of scaling, managing, and building high-performing, geographically distributed data teams., • 2+ years of experience establishing and enforcing data lifecycle management (such as data retention policies and data disposal procedures)., • Demonstrated experience in leading data initiatives for compliance, including working with regulations like GDPR, CCPA, or similar, and supporting organizations in successfully achieving and maintaining certifications such as SOC 2 or ISO 27001., • Skilled in coaching and leading other engineers, with the ability to provide deep technical guidance when needed., • Strong communication and leadership skills, with a bias for action and the ability to proactively drive complex projects to completion, and effectively communicate the business value of technical initiatives to stakeholders across the organization., • Experience leading a data organization through the implementation of security and compliance initiatives., • Deep experience with modern cloud platforms (e.g., AWS, GCP) and data warehouse technologies like Snowflake., • Expertise in SQL, data modeling, and at least one scripting language (e.g., Python)., • Experience with modern data stack tools such as dbt, Airflow, and BI/visualization tools like Looker or Sigma., • Experience with or a strong understanding of semantic layer technologies (e.g., dbt Semantic Layer, LookML) is a significant plus., • Expertise in Agile/Lean software development methodologies. The base pay range for this position is $181,000 to $252,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job DescriptionSalary: $130,000 - $150,000 Location: Remote Job Type: Full-time About Us! At Ready Computing, we are driven by innovation and a passion for delivering transformative solutions in healthcare technology. Our fully remote environment allows us to collaborate with talent across 30+ states and internationally, fostering a diverse and dynamic team culture. We provide an inclusive workplace where professional development thrives, offering career path certifications and continuing education support. Our comprehensive benefits package includes four health plan options, 401K matching, flexible paid time off, wellness programs, and financial planning services, ensuring both personal and professional well-being for our employees. Were looking for an Innovation Engineer who is passionate about applying emerging technologies, especially AI and machine learning, to real-world challenges. This role is ideal for an experienced engineer who thrives at the intersection of cloud, code, and experimentation. Youll be a hands-on contributor to some of our most forward-looking initiatives, working across GCP and AWS to design and deliver solutions that drive meaningful impact. From integrating large language models to building internal tools that unlock team productivity, youll play a key role in helping Ready Computing stay ahead of whats next. What Youll Do Lead and Deliver Innovation Projects • Own end-to-end delivery of innovation-focused initiatives from discovery and prototyping to development and launch, • Collaborate with internal teams and stakeholders to define technical approaches that solve complex business challenges, • Jump into projects wherever support is needed from architecture to scripting, automation, or integration work, • Maintain flexibility across use cases, adapting quickly to new ideas and technical domains Design & Implement AI-Enabled Solutions • Build and deploy AI-powered applications using platforms such as Vertex AI, LangChain, and managed LLM APIs, • Implement retrieval-augmented generation (RAG), prompt orchestration, and AI tooling integrations to power automation and insights, • Support data preparation, model integration, and scalable deployment of AI/ML services, • Stay informed on new developments in generative AI and machine learning, and explore how they can be applied internally Cloud Architecture & Engineering • Architect and implement cloud-native solutions using services from Google Cloud Platform (GCP) and AWS, • Set up infrastructure, networking, IAM, and automation pipelines aligned with cloud best practices, • Work with tools like Terraform, Cloud Build, Cloud Functions, Lambda, and container-based deployments, • Troubleshoot and support environments as part of larger project delivery or rapid innovation cycles Experimentation & Prototyping • Rapidly prototype internal tools, POCs, or lightweight applications to test emerging concepts, • Evaluate new platforms, frameworks, and approaches to help define our innovation technology stack, • Pilot internal innovation efforts that accelerate delivery and productivity across the company Collaboration & Communication • Translate complex technical concepts into understandable language for non-technical audiences, • Work closely with product, engineering, and operations to align on goals and execution, • Document best practices, architecture decisions, and outcomes from innovation projects, • Be an internal champion for new ideas, helping foster a culture of curiosity and continuous learning What You Bring • Strong hands-on experience with Google Cloud Platform (GCP) and AWS, including compute, storage, networking, and serverless/cloud-native services, • Proven track record of contributing to or delivering AI/ML projects, ideally using platforms like Vertex AI, LangChain, or LLM APIs, • Proficiency in at least one programming language such as Python, Java, or JavaScript, • Ability to build, integrate, and troubleshoot APIs, automation scripts, or lightweight internal tools, • Comfortable navigating ambiguous problems and fast-paced innovation cycles with minimal direction, • Strong cross-functional communication skills; able to explain technical concepts to non-technical stakeholders, • Curious and adaptable, with a proactive mindset and willingness to explore new technologies and domains, • Passionate about solving real-world problems with emerging tech like AI, automation, and cloud platforms, • Excited to collaborate across departments and take ownership of meaningful, high-impact projects Preferred Qualifications • BA/BS or equivalent work experience in Software Engineering, Computer Science, or a related field, • 5+ years of engineering experience across cloud, infrastructure, or AI projects, • Experience with platforms like Vertex AI, LangChain, SageMaker, or other AI/ML toolkits, • Familiarity with Agile development methodologies and collaborative prototyping, • Oral and written fluency in English Home Office Requirements • A minimum internet speed of 25 Mbps for downloads and 1.5 Mbps for uploads is required, • A private Wi-Fi network with a strong, unique password is necessary to access company data or systems, • The company provides a monthly internet stipend. New hires must complete a speed test during onboarding and update any default router passwords to ensure secure network access Why Join Us? Innovative & Impactful Work Your contributions will shape healthcare technology and improve patient outcomes Global Reach & Growth Opportunities Work with leading experts in healthcare IT and enterprise solutions Collaborative & Dynamic Culture Join a supportive team environment that values knowledge-sharing, mentorship, and career development Competitive salary and benefits package, including: • Four health plan options to fit your needs, • 401(k) matchingto help secure your financial future, • Flexible Paid Time Off (PTO) for work-life balance, • Wellness programs to support your mental and physical well-being, • Financial planning services to help you manage your future Ready to Apply? If youre excited about healthcare IT, system integration, and building next-gen interoperability solutions, wed love to hear from you! Apply now or contact for more information. Ready Computing is an equal opportunity employer. We do not discriminate with regard to race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Description Software Engineer NYC Data Science Innovation Center – Investment Management (HYBRID REMOTE OPPORTUNITY) They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Core Attributes: • Craftsman-like approach to building software; takes pride in engineering excellence and instills these values in others, • Demonstrable passion for technology (e.g., personal projects, open-source involvement) while using their problem-solving capabilities to deliver solutions utilizing a top end engineering approach, • Focused on delivering value to the business with relentless efforts to improve process, • Exceptional technology skills; recognized by your peers as an expert in your domain, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches, • Strong analytical ability, true problem solvers, • High achiever who combines ambition with humility and is happy to let their performance do the talking Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented Programming (Java, Python, Scala), • Solid understanding and experience with cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred Required Domain Experience and Soft Skills: • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • A solid understanding of financial markets and instruments is a plus Required Education: • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program)

Job Description Senior Full Stack Software Engineer NYC Data Science Innovation Center – Investment Management They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer (Full Stack) at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is working to develop the firm's next generation data distribution platform, with the aim to seamlessly deliver real-time and on-demand investments data to a global network of distributed trading and research platforms. They are employing new paradigms such as cloud computing, lightweight microservices, and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve their clients. • Design, develop, modify, adapt and implement short- and long-term solutions to information technology needs through new and existing applications, systems, databases and applications infrastructure., • Review and interpret system requirements and business processes., • Code, test, debug and implement software solutions., • Requires in-depth knowledge and expertise in their own job discipline and working knowledge of related disciplines., • Leads projects or work streams within broader projects., • Accountable for work of self and sometimes others, provides process and standards advice in area of specialty., • Works independently, receives minimal guidance., • Acts as a resource for colleagues with less experience. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. Responsibilities: • Contributes to all parts of the SDLC, e.g., design, development, and testing, • Develops technical solutions following standard methodologies with some guidance from senior engineers, • Practices automated testing and tests your work in an automated and repeatable way, • Identifies and remediates technical debt, • Works with existing data models and schemas and suggests changes and improvements where necessary, • Demonstrates strong logic and reasoning capabilities, • Delivers on well-specified work items Business Knowledge: • Able to work directly with business stakeholders, • Decisions show a focus on current and future business priorities, together with fiscal responsibility, • Can articulate business needs and translate them into technology solutions Required: • Typically a BS or MS degree in Computer Science or a related technical field of study and 5+ Years of progressive professional development experience with an Object-Oriented language (Java, Python, C#), • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred, • Solid understanding of cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience working in a dynamic, fast-paced, Agile team environment, • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator; able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • Stays current with many best-of-breed technologies, • Shows a commitment to quality by implementing suitable software using unit/integration and acceptance testing at the time of feature development, • Debugs large components with limited assistance and assists other engineers with debugging, • At some levels, leads code reviews and actively participates in providing feedback on others' designs/code, • Performs as an expert in one or more parts of the software lifecycle (e.g., coding, testing, deployment). Oversee significant pieces of development within the development lifecycle, • Designs and develops practical APIs and abstractions., • Experience with React and/or Angular Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and hybrid remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefits

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It is where people come together to power the future. Interested? This is a great opportunity to work for a young and dynamic company! We are currently looking for a VP of Infrastructure and Power to join our team Compensation Expected Salary (NYC): $200,000 - $250,000 USD What you can expect in this role: We are seeking a dynamic, experienced Vice President of Infrastructure & Power to lead our power strategy in the PJM market and the development of High Performance Computing (HPC) data center assets. This executive role will be instrumental in transitioning our company into the rapidly growing HPC sector through the optimization and expansion of our existing interconnection and generation assets, while also building a pipeline of additional capacity via new interconnections and power generation within the highly desirable PJM energy market. More specifically, here are some of the key responsibilities: Strategic Leadership & Business Development • Lead infrastructure and power projects across the USA, with the primary focus on PJM., • Build and maintain a strong pipeline of new energy capacity by identifying and securing power and fiber infrastructure in prime strategic locations., • Support the company's strategic transition into the high-performance computing sector through its existing energy asset portfolio., • Develop long-term strategic partnerships with utilities, government entities, and technology providers. Project Management & Operations • Oversee all aspects of infrastructure and power development from securing power through to commissioning and operations., • Manage complex multi-billion-dollar infrastructure projects, ensuring delivery on time and within budget., • Lead cross-functional teams, including engineering, construction, legal, and finance to achieve project objectives., • Coordinate with regulatory bodies and utilities to secure necessary permits, interconnection agreements, and fiber connectivity. Contract Management & Risk Assessment • Prepare and manage RFP's across the entire infrastructure and power development stack., • Review, negotiate, and manage construction & service provider contracts, power purchase agreements, and ISP agreements., • Conduct comprehensive risk assessments for infrastructure investments and development projects., • Establish and maintain relationships with key contractors, suppliers, and service providers., • Ensure all projects comply with regulatory requirements and industry best practices. 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Technical Expertise • Deep understanding of electric power systems, transmission infrastructure, and utility operations within deregulated markets., • Knowledge of the PJM market, capacity planning, load study, and interconnection processes., • Familiarity with HPC data center design, construction, power density, and operational requirements., • Experience with renewable energy integration and sustainability initiatives., • Familiarity with FERC regulations and RTO/ISO market structures., • Experience with renewable energy integration and sustainability initiatives. Leadership & Management Skills • Demonstrated ability to lead and manage complex, multi-disciplinary teams., • Excellent communication and stakeholder management capabilities., • Strong financial acumen with experience managing large capital budgets., • Strategic thinking with the ability to identify and capitalize on market opportunities. Work Environment & Travel Requirements • Office Presence: NYC-based role from our Manhattan office, • Travel Requirements: Travel to project sites across the US and Canada as needed for project oversight and stakeholder meetings We offer an attractive and competitive remuneration package commensurate with experience, including: • Base salary range of $200,000 - $250,000, with impressive total compensation including equity participation., • Performance-based bonuses tied to project delivery and company growth metrics., • Comprehensive health, dental, and vision insurance coverage., • Retirement savings plan with company matching., • Generous paid time off and professional development opportunities. We are excited to hear from you, so please apply! This job doesn't align to your experience? No problem, we're always looking for amazing talent, so please go to the connect button and apply for future openings. We'll be sure to send you an alert when the time comes. NYC$200,000—$250,000 USD