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We have been retained by a quant style trading firm looking to bring on a Founding Engineer on a hybrid basis in NYC. Role: Founding Engineer - own and build the core systems behind pricing, execution, and capital allocation. This is a true 0-1 role - high ownership, working directly with the founder, and operating at a Staff/Principal level from day one. Ideal background: • Strong backend/infrastructure experience (Python or Go),, • Building production systems in high-stakes environments (trading, fintech, marketplaces, etc.), • Experience with data pipelines and real-world data. If this sounds of interest, apply with a copy of your resume and Goliath will be in touch!

Multimedia Integration Manager Hybrid - New York, NY What are the top skills required for this role? 1. AV / Multimedia Project Management End-to-end delivery of corporate AV and multimedia projects including planning, execution, commissioning, and handover Strong experience with budgeting, scheduling, risk mitigation, cost control, and change management (PRINCE2 or similar) 2. Audiovisual Systems Design & Integration Deep technical expertise in AV, broadcast systems, and videoconferencing solutions Hands-on experience with system design reviews, schematics, BoMs, commissioning, and integration using platforms such as Cisco VC, Polycom, Crestron, Extron, Panasonic, NEC, Samsung, Sony, etc. 3. Vendor & Stakeholder Management Proven ability to manage multiple vendors, installation partners, and internal sourcing teams Strong RFP creation/review, vendor quality control, invoice approvals, and coordination across contractors (GCs, electrical, furniture, etc.) 4. Client Engagement & Operational Alignment Excellent client-facing skills including requirement gathering, expectation management, and solution recommendations Ability to align project delivery with operational, maintenance, and support standards, ensuring smooth transition to operations Job Description/ Responsibilities · Business unit engagement and gathering client requirements · Providing internal client recommendations & quotations · Budgeting, Project scheduling, Resource planning · Solution & design engineering (part of an internal team in partnership with Multimedia Infra Team) · Engagement with our internal REM (Sourcing) team · Installation vendor engagement and management · Integration RFP production and RFP review · Cost control & reporting · Drawing and schematic review and approval · Use of the Ariba platform for RFP production and placing purchase orders · Vendor quality control · Change order review and approval · System commissioning and handover · TCM turnovers (where relevant) · Liaison across client, general contractors, electrical contractors, furniture contractors etc prior to and during the Multimedia/AV installation · Partner with Multimedia Operations, Maintenance and Engineering to ensure consistency with the firm’s operational / support / infrastructure & technical requirements. · Monitor project performance, ensuring that variances and issues are understood and properly addressed · Troubleshoot and provide direction/solutions during design and implementation · Mitigate project risks · Manage internal client expectations · Review and approve vendor invoices for payment · Arrange, coordinate and manage project vendor meetings, agenda’s, minutes, snag lists etc etc · Attend all necessary CS and EIP project meetings · Snag list production, overview and resolution (across all relevant trades) · Time logging in PPM system · Maintain all project documentation following Multimedia standard processes · Archive project documentation for our support teams including; · Bill of Materials into asset register, as built schematics, architectural plans and elevations into maintenance folders Qualifications required · Project management qualification (Prince 2 or similar) · Broadcast systems design, project delivery and commissioning experience · Infocomm CTS-I qualification · Previous experience as a project engineer / manager · Extensive knowledge of audiovisual systems and videoconferencing technology · Understanding of operational processes and procedures. · Proven track record in the delivery of corporate AV projects to client specification · Strong logistical and resource planning skills · Technical understanding and manufacturer training on our core products including but not limited to; Cisco (videoconferencing), Polycom, Crestron, Extron, Panasonic, NEC, Samsung, Sharp, Sony Clock audio. · Team working & Influencing · Good communication skills · Microsoft Office Suite including Outlook, Excel, PowerPoint, Word and Project

Summary Our client, a Fortune 500 pharmaceutical company, has engaged GForce Life Sciences to provide a Senior Electrical Engineer. the Professional Engineer (PE) will have expertise in electrical systems including electrical distributed power generation, feeds, distribution, lighting, fire alarm, emergency power, UPS, and low voltage systems. The PE is responsible for overseeing the engineering of these systems for major capital projects and initiatives from conceptualization through programming, design, bidding, construction, commissioning, and close out. The PE will be responsible for multiple high-complexity projects of diverse scope that require an understanding of state of the art construction techniques and a high level of expertise in electrical systems, as well as rigor in compliance, and the highest standard of care. Science projects include research laboratories, vivarium, pilot scale manufacturing, major scientific equipment, amenity space, outdoor plaza, site lighting, and infrastructure projects. The PE shall collaborate with the project team to effectively identify innovative solutions and bring clarity to the project process using a sophisticated analytical approach and sound judgement. Core focus areas include defining and meeting project goals for electrical systems, reviewing budgets, schedules, scopes, and quality, as well as risk mitigation and responding to field conditions and construction logistics and challenges. The PE will be responsible to lead design teams and Construction Managers in both the pre-construction due diligence, design and scoping process with a focus on quality management, project controls, and user engagement as well as leading their teams through the bidding and construction administration process with a focus on field coordination, commissioning, substantial completion and close out. Responsibilities • Assists the Project Management team in developing the budget and schedule for design and construction projects, including renovations and green field projects., • Works closely with Project Management, Engineering, Space Planning, EHS, Operations, and User teams to fully and rigorously document the electrical system requirements in the Owner’s Project Requirements document., • Performs preliminary due diligence explorations of existing electrical systems during project initiation to identify any potential risks to the project and any opportunities for improving the building systems of existing buildings., • Assists the Project Manager and Procurement in the development of scopes of work for design professionals, construction managers, general contractors and commissioning agent RFPs. Assist in the evaluation and bid leveling of proposals., • Participates in regular project meetings., • Works directly with hired MEP engineers, consultants, and contractors to answer questions, resolve issues and develop solutions., • Provides supervision for all stages of the development and documentation of electrical requirements for lab and other equipment for the project. Collaborates with the Project Management team, internal engineers, end users, the Asset Management team, EHS, design professionals, lab equipment vendors, design professionals and contractors to ensure that all electrical system requirements for the equipment are met., • Provides detailed reviews of and comments on due diligence reports, test fits, Basis of Design documents, room data sheets, construction documents and specifications prepared by the design professionals, checking for thoroughness, accuracy and compliance with the project requirements, design and documentation standards and minimize errors and omissions., • Identifies long lead time equipment for potential Early Works purchasing by the contractor, • Works with the Project Managers, Design Professionals and Contractors to find solutions to mitigate costs and schedule delays due to errors and omissions in the design documents and unforeseeable field conditions, • Reviews shop drawings and submittals, RFI responses, and Change Orders, • Makes frequent site visits to ensure that electrical requirements are being implemented correctly during construction and creates field reports., • Reviews Design Professional punch lists., • Manages commissioning, auditing, & validating facilities systems for Capital Projects., • Assists the Asset Management and Operations team in preparing equipment lists for import into the Integrated Workplace Management System, • Coaches and Mentors other members of engineering staff and supervises day to day operation of electrical systems., • Interacts with municipalities and Con-Ed to obtain building permits and inspections., • Supervises, coordinates, and schedules work with outside contractors and internal technicians., • Audits, tests, commissions, and validates Facilities systems and also provide specialized engineering support services to RGC, PMPD, PCD, IT, & Vivarium groups. Requirements • Bachelor’s degree in Engineering required, • Minimum of 5 years in an electrical engineering role, • In depth knowledge and extensive experience in electrical systems for complex life science laboratory and vivarium projects, • Skilled in the use of AutoCAD, Revit, Navisworks, SharePoint and Bluebeam Revu, • IWMS system experience Terms & Start • Onsite 4 days/week in Tarrytown, NY, • Full-time, • Start ASAP, • Benefits included (Medical, Dental, Vision), • 27 days PTO

Endava is a leading technology services company dedicated to helping clients accelerate their digital transformation journeys. We're seeking a Google Cloud Industry Consultant to join our growing Google Cloud team. In this role, you'll be a true builder, with deep technical knowledge, working as an entrepreneur within our organization. You'll partner with Endava Industry Sellers and Google Cloud's sales teams to identify, pitch, and sell innovative, cloud-native solutions that directly address complex customer challenges. Your work will not only drive our clients' success but also contribute to the growth of our Google Cloud business. You'll be a trusted advisor, a technical visionary, and a hands-on leader, shaping the future of cloud solutions at the intersection of industry expertise and cutting-edge technology. Job Description Accountabilities As a Google Cloud Industry Consultant, you'll be accountable for: • We're looking for someone with a blend of technical prowess, strategic thinking, and exceptional interpersonal skills. Qualifications Ideal Profile The ideal candidate will possess a compelling mix of experience and technical certifications. Experience: • 5+ years of hands-on experience in a cloud architecture, consulting, or solution design role., • Extensive experience designing and implementing large-scale solutions on Google Cloud Platform (GCP)., • Demonstrated industry expertise in banking, payments or insurance, • Expert knowledge of core GCP services (Compute Engine, GKE, Cloud Storage, BigQuery, IAM, Networking)., • Hands-on experience with Infrastructure as Code tools like Terraform., • Deeper technical experience in either AI & Data (e.g., Gemini, BigQuery, Vertex AI, Dataflow) or Security (e.g., Cloud Armor, VPC Service Controls, Security Command Center) is highly preferred., • Familiarity with containerization (Docker, Kubernetes) and CI/CD tools., • Bachelor's degree in Computer Science, Engineering, or a related field., • Google Cloud Professional Cloud Architect certification is highly preferred., • Additional GCP certifications (e.g., Professional Data Engineer, Professional DevOps Engineer) are a plus Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: • Participation in both internal meetings and external meetings via video calls, as necessary., • Ability to go into corporate or client offices to work onsite, as necessary., • Prolonged periods of remaining stationary at a desk and working on a computer, as necessary., • Ability to bend, kneel, crouch, and reach overhead, as necessary., • Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary., • Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary., • For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. USA Benefits (Full time roles only, does not apply to contractor positions) • Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options, • Flexible Spending Accounts (Medical, Transit, and Dependent Care), • Employer Paid Life Insurance and AD&D Coverages, • Health Savings account paired with our low-cost High Deductible Medical Plan, • 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. • Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems., • Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments., • Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools., • Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure., • Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments., • Strong understanding of frontier model evaluation methodologies and the current research landscape., • Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)., • Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD., • Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models., • Experience collaborating with operations or external teams to define high-quality human annotator guidelines., • Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis., • Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Description Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater's media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community. Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our ___ blog to see which problems our engineers are solving. Meltwater's Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers. We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact. What we're looking for: This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale. You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning. Our team is organized over 3 objectives : innovation, research and production. Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products. Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day. Responsibilities: • Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team., • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems, • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems, • Design, run, and iterate on machine learning experiments to improve model quality and product impact, • Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems, • Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems., • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems, • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems, • You'll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities, • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring, • Experience building industry-scale user-facing ML/AI/Agentic applications, • Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes), • 2+ years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research., • Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis, • Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems, • Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems, • You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength., • Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java), • Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve, • You are a team-player, self-learner and autonomous, • You will work with a team of passionate people who are always willing to help and learn from others, • You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business, • As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference, • Enjoy flexible paid time off that allows you to have an enhanced work-life balance., • Excellent medical, dental, and vision options, • 401(k) matching, life insurance, commuter benefits, and parental leave plans, • Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters., • Energetic work environment with a hybrid work style, providing the balance you need., • Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. When you'll join: May/June 2026 Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers aroundthe world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and createsan environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes alongthe way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Our Team Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our ___ blog to see which problems our engineers are solving. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Design Engineer (SDE) is a lead member of the core team for each Workplace (WKP) project. The SDE provides direction and oversight through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical authority on a project team, the SDE is instrumental in the determination and execution of client and system requirements and will collaborate with SME teams as required. The SDE is also responsible for mentoring other design engineers on the project team. Reporting to a Regional Director of Technical Operation the SDE's project assignments are determined by Technical Operations Leadership based on enterprise-wide demands. NOTE - while this is a virtual position day to day, it does involve periodic (up to 25%) onsite presence at customer sites concentrated in the New England region - primarily Boston, Hartford and Stanford. As such, residing in (or a willingness to relocate to) this region is a requirement for this job. What You'll Do: • Leads complex engagements and works directly with clients and project teams to develop budgets, timelines and manage expectations., • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • May be required to regularly lead teams on large projects., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Provide technical expertise and oversee the creation of and later reconciliation of the complete construction drawing package, support documentation for installation and coordination with architect and other trades., • Collaborate with engineering, operations, and product teams to identify requirements for cloud-based solutions that meet the needs of our live broadcast production and post-production workflows., • Design and architect cloud-based solutions for live broadcast production workflows, channel playout, and content delivery, • Work with cross-functional teams to ensure that solutions are optimized for cost, performance, and reliability., • Provide technical guidance and mentorship to other team members., • Experience building complex networking infrastructure on premises., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • Provide regular project engineering milestone status updates to Technical Operations resource planning., • Maintain expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums., • Develop expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums. Complexity: The Senior Design Engineer works with the Regional Directors on resource assignment. This role is primarily billable in a post-sales capacity, though there are times when the SDE will work on presales estimation and design efforts. Decision Making Authority: As the final sign off on project bill of materials prior to purchasing, the SDE is responsible for vetting products and making detailed equipment decisions. As the technical leader on a project, the SDE has the authority to recommend direction on scope changes and programming and commissioning activities. The SDE will also be responsible for approving drawing packages being done by other design engineers as well as supervising them in their work. Physical Working Environment: The physical demands described here are representative of those that may be met by an employee. Work will normally be performed within normal office conditions and/or home office depending on location of SDE. On occasions the employee may be exposed to construction site conditions. Employee will be responsible for their safety while on job sites and to comply with all safety regulations in place by the GC. Use of PPE is usually required on job sites. The employee can typically spend at least 50% of their time on their feet and be required to mobile around the construction site. The individual is regularly required to use keyboards, test equipment and controls required for SI installation projects. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Travel: Occasional travel by car and occasional airplane trips are required. Employee must possess a valid driver's license in their state of residence. Employee will be required to use their own vehicle and will be reimbursed for mileage at the current corporate rate. Local travel to job sites (within a 2 hour driving distance each way) will make up 90% usually but remote travel can be up to 30% of the job at times. <10% remote travel is required on a regular basis. What You'll Bring: Education & Certifications: • High school diploma or GED required, • Proficient in AutoCAD and MS Office 365, • Certifications or training with at least one DSP platform (Biamp, QSC, Clearone, etc), • Certifications or training with at least one control system (Crestron, Extron, AMX, etc), • Other relevant certifications may be required or preferred based on the technology focus of the position. Required Skills/Qualifications: • AVIXA CTS certification is required, • 8+ years' experience in technical systems designing, • Familiarity with audio DSPs, networked audio systems, and transport protocols including 2110-30, AES-67, Ravenna, and Dante, • Understanding of TCP/IP, ACL's, QoS, VLAN's, and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A clear understanding of construction project phases Program, Conceptualization, Schematic Design, Design Development, Construction Documentation, Construction and Commissioning., • Must reside in - or be willing to relocate to - the San Francisco Bay area of California. Preferred Skills/Qualifications: • AVIXA CTS-D is highly desired, • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: Join a mission-driven team transforming cancer care through technology! We are a passionate group of software engineers, bioinformaticians, and clinical collaborators developing next-generation informatics solutions that directly impact patient outcomes. Our work spans petabyte-scale biological datasets, high-performance computing, and cutting-edge AI/ML tools to support clinical decision-making. We are seeking a Bioinformatic Software Engineer who thrives in fast-paced environments, is eager to learn, and is excited to build secure, scalable systems that help visualize and report genomic results guiding treatment and clinical trial enrollment. Role Overview: • Work and collaborate with a top-notch team of software engineers, bioinformatics researchers, AI/ML teams, data scientists, system engineers, and physicians to support clinical-grade informatics infrastructure., • Create and maintain technical documentation including user guides, operational run books, and standard operating procedures., • Develop DevOps framework and implement standards, processes, and controls for release and deployment activities., • Develop API services, data dashboards, visualizations, and cutting-edge web portals., • Design and build AI/ML solutions - including large language models (LLMs), retrieval-augmented generation (RAG), deep learning, and classical ML - integrated into secure, scalable full-stack clinical applications. Key Qualifications: • Bachelor's degree in computer science, or related discipline with 4 years of hands-on software engineering experience, preferably developing scientific software such as bioinformatics or biomedical informatics systems, Master's with 2+ yrs. preferred., • 3+ years of firsthand experience with programming languages like Python, Java, or JavaScript frameworks such as ReactJS, • Experience working with relational (MySQL, Postgres, etc.), and no-SQL (MongoDB) database technologies., • Experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc.), • Experience working with high-performance computing platforms either on-premises (LSF, Slurm, etc.) or on the cloud (especially AWS), • Experience with agile software development practices, and experience using tools such as JIRA, or Rally, • Experience with deep learning frameworks (PyTorch, TensorFlow) - and libraries such as scikit-learn, numpy and transformers for model training and inference., • End-to-end production AI/ML experience (LLMs, RAG), including prompt engineering, fine-tuning, vector search, model evaluation and monitoring, and MLOps within regulated clinical or PHI environments. Core Skills: • Strong team collaboration and communication skills., • Passion for learning new technologies and methodologies., • Customer-centric mindset with a desire to understand clinical workflows., • Resilience and creativity in problem-solving., • Ability to thrive in a dynamic, fast-paced environment. Additional Information: * Schedule: Monday - Friday, 37.5 hours, hybrid (in office quarterly, therefore, must reside in NYC Metro Area * Location: 1275 York Ave, NYC * Reporting to: Bioinformatics Software Engineer V Helpful Links: #LI-HYBRID Pay Range: $121,400.00 - $200,400.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$100,000—$120,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35 The Lamont-Doherty Earth Observatory (LDEO) is seeking anIntermediate Linux Systems Engineerfor a full-time career opportunity. Reporting to the Director of Research Computing and Campus Infrastructure, the Intermediate Linux Systems Engineer will manage LDEO's portfolio of Research Computing systems-designing and implementing new solutions as needs arise, while providing ongoing maintenance and operational support. This role is integral to architecting and developing solutions for LDEO's hybrid computing infrastructure, supporting both on-premises and cloud environments. The incumbent will work within the LDEO Information Technology group, supporting research computing and networking across the Palisades campus and beyond. Responsibilities • System Deployment & Administration: Develop and execute system deployment plans tailored to research needs and our core services, aligning with institutional policies., • Linux System Administration: Provide administration and support for Linux-based systems across both cloud-hosted and on-premises virtualized environments., • Hardware & Maintenance: Administer and maintain server hardware, including rackmount servers, storage arrays, and network equipment., • Software Testing & Upgrades: Test new software versions, participate in upgrades, and create documentation such as flowcharts and diagrams., • Operational Support: Perform daily user support, system operations, upgrades, and institutional audits., • Problem Resolution: Ensure timely resolution of all server and client computing/application issues., • Knowledge Development: Develop, maintain, and share knowledge of best practices for troubleshooting recurring issues., • Monitoring & Reporting: Create automated reports, respond to hardware and software alerts, and implement new monitoring processes as needed., • Documentation & Feedback: Provide ongoing documentation of configuration and installation processes, and report resource or knowledge gaps as needed., • Bachelor's degree in Computer Science or related field is required., • Experience: Minimum of 3 years of related professional experience in Linux system administration., • Technical Expertise: Experience installing, configuring, and maintaining Unix/Linux systems on bare-metal, virtualized environments, or public cloud providers., • Data Lifecycle Management processes., • Cloud service providers, particularly Amazon Web Services (AWS)., • UNIX/Linux (RHEL) systems administration., • Backup systems for physical and virtual hardware (e.g., Avamar, Veeam)., • Monitoring tools (e.g., Nagios) NAS/SAN hardware and software., • Ability to prioritize and manage multiple tasks under short deadlines., • Ability to work independently and collaboratively., • Strong attention to detail, with the ability to align IT goals with institutional objectives., • Excellent analytical, oral and written communication, and interpersonal skills., • Experience using ticketing systems (e.g., Osticket, Jira, Bugzilla, ServiceNow)., • Ability to exercise sound judgment, discretion, and tact in a professional setting. Columbia University is committed to the hiring of qualified local residents.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Network Engineer to join our team to support our client base in (Carolinas) region. This individual will lead small to large projects on their own or as part of a team, which includes planning, design, and implementation of complex network and security engagements. This is a consultative role providing network engineering services on project work and effectively managing the implementation process from design to customer acceptance. Travel Requirements: In this role you will be expected to travel up to 25%. Responsibilities include: • Primary responsibilities include performing project-based engineering, design, staging, installation, validation, testing, and troubleshooting of data/security networks, • Lead complex, large-scale Network and Security projects, • Create low-level detailed designs that align with the business strategy, the customer's budget, and operational support capabilities., • Network discoveries, • Perform Network and Security Assessments, • Presenting documentation and engagement deliverables to customers, • Collaborating as part of a multi-functional team with Sales, Pre-Sales, Project Management, and other delivery/engineering resources, • Trouble resolution of complex issues and assisting team members in solving problems with their deployments., • Working with junior members of the engineering team to successfully implement secure network solutions, • Experienced expert with complex multi-protocol routing and switching solutions, • Various security parameters and harden access to devices, • Core Routing and Switching platforms with a focus on design, configuration, and troubleshooting using Cisco Best Practices, • Network design and applications, including designing IP addressing, • OSPF, BGP, EIGRP. Redistribution of protocols and loop prevention, • TCP/IP protocol stack, TCP/IP headers and packets, the OSI model, and commonly used TCP/UDP ports and associated services, • Strong level in routing and switching troubleshooting, • Solid verbal and written communication skills, • Bachelor's Degree or equivalent experience and/or military experience, • Cloud Networking Experience, • AWS, Azure, GCP in Networking context, • Aviatrix, • Experienced deploying at least one SDWAN Solution with Viptela, Silverpeak, or Palo Prisma SDWAN, • Cisco ISE, • Experienced in implementing security solutions such as:, • Palo Alto Networks Product Portfolio, • Panorama, • Prisma Access, • Prisma Cloud, • Cisco Security Product Portfolio, • Firepower / FTD Firewalls, Meraki MX: Configuration, tuning, troubleshooting, • FMC Management, • Fortinet Product Portfolio, • FortiGate FWs, Forti Manager/Forti Analyzer, • Arista Networking solutions, including Cloud Vision, • Aruba Product Suite, • Experience with Aruba CX and Aruba OS software, • VSX and VSF technologies, • High availability configurations, • Automation / Scripting: Python, EMM and TCL, • Active Cisco certification; CCNP, CCIE Preferred, • Active Palo Alto certification; PCNSA, PCCSE, PCNSE Preferred, • 5+ years of related project implementation experience. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Senior Technology Development Operations Engineer Cooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team. Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem), • Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools, • Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins, • Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery, • Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic, • Participate in incident response, root cause analysis, and postmortem documentation, • Support release management processes across Dev/Test/Prod environments, • Work with development and data teams to integrate applications into the DevOps-managed environment, • Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps, • Provide documentation and knowledge sharing for operational processes and tooling, • Consult peer teams for feedback during the design, testing, and implementation stages, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years of experience in cloud infrastructure and DevOps, • Proficiency in AWS or Azure architecture, configuration, and security, • Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform skills, including use of Terragrunt and advanced workflows, • Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Experience deploying .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's degree in Computer Science, IT, Engineering, or associated discipline, • Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow, • Experience deploying AKS/EKS/GKE via IaC, • Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake) Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues., • Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Our client, a rapidly growing venture-backed Legal AI technology startup, is seeking a Senior Platform Cloud Infrastructure Engineer to join their core engineering team. As the Senior Platform Cloud Infrastructure Engineer, you will lead the design, implementation, and scaling of secure, high-perfor

We are seeking a Senior DevOps Engineer to join our team and take ownership of our production environment and core infrastructure strategy.This role is responsible for maintaining production stability, driving automation initiatives, and partnering closely with R and D teams to support scalable, hig

About Merget Merget is an early-stage startup in New York City building next-generation developer infrastructure. We're a small, technical team working on hard problems at the intersection of version control, AI-assisted development, and developer experience. If you care deeply about building reliable, high-performance systems and want to shape a product from the ground up, we'd love to hear from you. The Role We're looking for a Rust Engineer to join our core engineering team. You'll be writing Rust full-time, working on systems that demand correctness, performance, and clean abstractions. This role involves designing and building foundational infrastructure—including data structures for dependency graphs, content-addressable storage, and version control internals. You'll have significant ownership and influence over architecture decisions. What You'll Work On • Core systems programming in Rust, including data modeling, serialization, and storage layers, • Dependency graph algorithms and tree-structured data processing, • Version control system internals: diffing, merging, branching, and content-addressable object management, • Event processing pipelines and state machines, • CLI and API surface design, • Performance optimization for real-time developer workflows Requirements • 1+ years of professional experience writing Rust, • Experience working with dependency graphs, DAGs, or tree-structured data, • Experience designing or contributing to version control systems or similar content-addressable/append-only storage systems, • Strong understanding of systems programming concepts: memory management, concurrency, filesystem operations, and serialization formats, • Comfort working in a fast-paced startup environment with high autonomy, • Based in or willing to relocate to New York City Nice to Have • Experience with Git internals or building VCS tooling, • Familiarity with embedding models, vector search, or ML-adjacent infrastructure, • Experience with event-driven architectures or real-time data pipelines, • Contributions to open-source Rust projects Salary: 100,000 - $180,000 (The posted salary range is provided in compliance with New York City's Pay Transparency Law, Local Law 32.) Merget is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law, including the New York City Human Rights Law.

Job Title: Vice President – AI/ML Engineer (Individual Contributor) Location: Jersey City, Dallas, Menlo Park, Seattle (Onsite) Employment Type: Full-Time About the Company Our client is a leading global investment banking, securities, and investment management firm serving a diverse client base including corporations, financial institutions, governments, and high-net-worth individuals. Headquartered in New York, the firm has a strong global presence across major financial centers. The organization is known for its strong culture built on integrity, excellence, innovation, and teamwork, with a focus on delivering best-in-class solutions to its clients. Business Unit Overview Enterprise Technology Operations (ETO) is part of the firm's Core Engineering division, focused on delivering scalable production management services. The unit emphasizes operational excellence, automation, and risk reduction through advanced engineering and data-driven solutions. Within ETO, the Production Runtime Experience (PRX) team leverages software engineering, machine learning, and automation to improve monitoring, alerting, and operational workflows across large-scale systems. Team Overview The Machine Learning and AI team within PRX focuses on applying advanced Machine Learning and Generative AI (GenAI) to optimize large-scale infrastructure and application environments. By combining statistical modeling, anomaly detection, predictive analytics, and LLM-driven agentic systems, the team delivers scalable, reliable, and cost-efficient production management solutions. Role Overview This is a hands-on individual contributor role focused on designing and implementing GenAI-powered agentic solutions to improve production operations. You will work on building intelligent systems capable of diagnosing issues, reasoning through complex scenarios, and executing automated actions in large-scale production environments. Key Responsibilities • Design and develop Agentic AI systems using LLMs, retrieval, and secure execution frameworks, • Build and productionize LLM-based solutions, including RAG pipelines and evaluation frameworks, • Integrate AI solutions with observability, incident management, and deployment systems, • Develop systems for automated diagnostics, remediation, and workflow optimization, • Collaborate with engineering and operations teams to translate business needs into AI solutions, • Implement governance, safety, and reliability mechanisms for AI systems, • Optimize performance, scalability, and cost efficiency of AI applications, • Drive engineering best practices, design reviews, and continuous improvement Qualifications • Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field (Master's/PhD preferred), • 7+ years of experience in software engineering and/or machine learning Required Skills • Strong programming experience in Python, Java, Go, or C/C++ (Python preferred), • 3+ years building and deploying production-grade machine learning systems, • Hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and RAG pipelines, • Experience building agent-based AI systems and tool integrations, • Solid understanding of machine learning algorithms, statistics, and data structures, • Experience with REST APIs, distributed systems, and microservices architecture, • Strong problem-solving skills and ability to work in high-impact environments Preferred Skills • Experience with cloud platforms (AWS preferred), • Familiarity with containerization and orchestration (Docker, Kubernetes), • Experience with MLOps, model deployment, and monitoring frameworks, • Exposure to financial services or large enterprise environments Key Competencies • Strong analytical and problem-solving mindset, • Ability to communicate complex concepts clearly, • Collaborative and team-oriented approach, • High ownership and accountability

Job DescriptionThe Sensory Studio is a fast-growing pediatric Speech and Occupational Therapy organization with multiple locations and an unmatched reputation for energy, innovation, and clinical excellence. Behind the scenes, we are building something bigger than therapy. We are actively expanding and strengthening — our internal system and digital infrastructure designed to support scalable healthcare operations, clinical workflow, scheduling, billing logic, internal reporting, automation, and long-term growth. This is not a “helpdesk” job. This is a build-the-future role with real responsibility, real ownership, and real impact. We are seeking an Technology Coordinator who can step into our ecosystem, learn it deeply, and help strengthen both our software systems and internal tech infrastructure across all of The Sensory Studio locations. The Technology Coordinator will support the continued development, maintenance, and evolution of Max Studio Health (MSH), our internal EMR system and also play a key role in supporting internal technology logistics across all centers. This person will be responsible for understanding how MSH functions end-to-end, supporting and improving its workflows, and ensuring our team has the technology support and infrastructure needed to operate efficiently day-to-day. This role requires someone who can think like an engineer and operate like a leader — someone who is technically sharp, operationally organized, and able to handle both systems development and real-time studio technology needs. Required Technical Skills Front-End Development: • ReactJS (Proficiency strongly required), • HTML / CSS, • TailwindCSS (Highly preferred), • Proficiency in other modern JavaScript frameworks (Angular, Vue, etc.) is acceptable, as long as you can work confidently in React.Back-End Development, • Python (Strong proficiency required), • SQL (PostgreSQL) (Strong proficiency required), • Experience working with AWS CLI, • AWS Lambda, • API Gateway, • S3, • DynamoDB, • CloudWatch, • RDS (PostgreSQL)Infrastructure / DevOps Skills, • Docker, • Supporting staff with internal technology requests and troubleshooting, • Computer, laptop, and workstation support, • Printer setup, connectivity troubleshooting, and general printer maintenance support, • Telephone system support (including Net2Phone), call routing issues, voicemail troubleshooting, and internal messaging support, • Wi-Fi and connectivity troubleshooting, including coordination with service providers when needed, • Supporting onboarding and offboarding technology logistics (device setup, access, accounts, permissions), • Conducting equipment audits across all centers, • Maintaining and tracking technology inventory across locations (computers, iPads, printers, headsets, accessories, etc.), • Ensuring each center remains organized, operationally prepared, and properly equippedThis role requires someone who is responsive, dependable, resourceful, and able to support real-time operational needs in a fast-moving pediatric healthcare environment. Core Responsibilities • Supporting the continued development and expansion of Max Studio Health (MSH), • Troubleshooting, optimizing, and improving system workflows across internal platforms, • Building scalable tools that support Admin, HR, Billing, and Clinical Operations, • Managing AWS deployments, cloud infrastructure, and monitoring systems, • Maintaining clean documentation to ensure long-term sustainability of systems, • Diagnosing and resolving technical issues quickly and effectively, • Supporting automation, API connectivity, and internal reporting tools, • Assisting with technology planning, infrastructure upgrades, and long-term systems strategy, • Strong ownership mentality and self-direction, • High energy, initiative, and problem-solving instincts, • Organization, structure, and attention to detail, • Ability to communicate technical concepts clearly to non-technical staff, • Ability to stay calm under pressure and respond efficiently to urgent needs, • Strong documentation habits and pride in clean, sustainable work Bonus Skills (Highly Attractive) While not required, we strongly value candidates with: • Healthcare operations technology experience, • HIPAA-aware system design and compliance awareness, • Experience with internal dashboards, admin portals, or automation tools, • Experience working in scaling environments with evolving infrastructure, • Strong UI/UX instincts for building staff-friendly systems You will help shape the systems that support our staff, our families, and our long-term growth. This is a role with influence, autonomy, and real responsibility — designed for someone who wants to become an integral part of a long-term mission.

Job Description Job Description About the Company Our client is building the first AI-specialty medication access platform, transforming how patients, providers, and payers navigate complex specialty drug workflows. Their mission is to remove friction from medication access through intelligent automation, modern infrastructure, and thoughtful product design. They are seeking a Full-Stack Engineer with strong Python and React experience who wants meaningful ownership and the opportunity to build foundational systems in a fast-scaling health tech startup. What You'll Do • Design, build, and maintain full-stack features using Python (backend) and React (frontend), • Develop APIs and services that power core workflows in specialty medication access, • Build intuitive, high-performance user interfaces for providers, care teams, and operations staff, • Collaborate closely with Product, Design, and engineering teammates to translate complex healthcare workflows into scalable software solutions, • Write clean, maintainable, and well-tested code, • Participate in architectural discussions and influence core technical decisions, • 3+ years of professional experience as a full-stack engineer at a start-up, • Comfort operating in startup environments and solving ambiguous problems, • Experience in healthcare, health tech, or regulated environments, • Familiarity with cloud infrastructure (AWS, GCP, Azure), • Experience with CI/CD pipelines and Docker

Job DescriptionWhat is Prizeout Prizeout is a fast-growing fintech transforming how people interact with their money by turning everyday transactions into rewarding, value-driven moments. We sit at the intersection of payments, rewards, and loyalty, empowering financial institutions to build deeper connections with their users. Our platform analyzes rich transactional data to deliver personalized insights and maximize value with every purchase. The company was founded in 2019 and is headquartered in NYC. Why Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Engineer at Prizeout, you’ll own the data that powers CashBack+ and our credit union rewards ecosystem. Managing the end-to-end lifecycle of financial institution data, you’ll ensure every transaction is accurate, every action is recognized, and every reward is delivered on time. Working with core banking systems, card networks, and digital event data, you’ll turn complex, messy inputs into clean, reliable signals that drive real-time insights and loyalty programs. What You'll Do • Own and manage the full lifecycle of credit union core and card data pipelines, • Build and maintain scalable pipelines that clean, standardize, enrich, and classify transactional and behavioral data, • Translate raw transactions into meaningful insights using classification models (direct deposits, ACH events, MCC logic, etc.), • Develop and maintain automated validation and monitoring systems, • Create and manage high-quality dashboards and reporting tools for credit unions and internal teams, • Collaborate with Product, Data Science, Operations, and Integrations teams to refine data models and onboarding processes, • Continuously improve data models, infrastructure, and internal tools, • Stay current on fintech data architecture trends and emerging technologies to guide ongoing platform evolutionWhat We're Looking For, • 3+ years experience in software/data engineering, ideally in microservice or event-driven architecture, • Advanced SQL and database design skills, • Experience with cloud environments and distributed systems, • Experience with financial/transaction data pipelines or interest in learning deeply, • Familiarity with Snowflake or similar data warehouse tools (preferred), • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today. Responsibilities • Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases., • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript., • Lead the definition, design, and phased migration to improved data models for core business concepts., • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source., • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems., • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value., • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes., • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data., • Maintain and improve our transactional database infrastructure running in AWS., • Review SQL and data access code for our production systems., • Partner with engineers across the organization to ensure database migrations are executed correctly and safely., • Profile, analyze, and tune slow or inefficient queries in Postgres., • Leverage AI-powered tooling to enhance the software development lifecycle., • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • 4+ years of experience in a role focused on Backend or Data Platform Engineering., • 3+ years of experience writing production-level SQL and backend code., • Recent expertise with Python as a primary programming language., • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar)., • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch., • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements., • Ability to troubleshoot complex distributed systems., • Familiarity with AI-enabled developer productivity tooling., • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment., • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly., • Proficiency with programming languages like Typescript or Golang., • Experience with large data migrations on production systems., • Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda., • Proficiency with Snowflake as a cloud data warehouse., • Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch., • Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform—including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants. This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction. Responsibilities As a Senior Full Stack Software Engineer, you will: • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights, • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores, • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions, • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing, • Participate in an on-call rotation and help improve operational tooling and observability, • Contribute to technical decision-making, architecture discussions, and code reviews, • Mentor junior engineers and help raise the overall quality and velocity of the team Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science, • 5+ years experience developing production software using Python and/or TypeScript, • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services, • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems, • Experience with data visualization, dashboards, or complex UI state is a strong plus, • Strong communication skills and the ability to collaborate effectively in a remote-first team, • Comfort working in a startup environment with evolving requirements and high ownership CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable

Job Description Changing Healthcare For Good At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As an AI-native, integrated healthcare company, we are replacing legacy systems with modern infrastructure to deliver members and patients the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us. The Role As an early engineer at Angle, you'll play a key role in architecting and scaling the core backend infrastructure that powers our healthcare platform. This is an opportunity to build systems from the ground up—designing APIs, structuring data models, and optimizing performance to support a high-growth company. You'll work closely with product owners, designers, and other engineers to bring new features to life, ensuring our systems are both scalable and reliable. From architecting backend services to debugging performance bottlenecks, you’ll have full ownership of the product lifecycle—shaping everything from system design to implementation. This role is perfect for engineers who love tackling complex problems in a fast-paced environment, enjoy working with cross-functional teams, and want to see their work directly impact the future of healthcare. If you're excited by the challenge of building high-performance backend systems at scale, we'd love to have you on board. This position is based in our NYC office. Core Responsibilities * Work directly with the Head of R&D in architecting and building Angle's backend infrastructure * Work with product owners & designers to build a scalable implementation process across multiple web products * Support the entire application lifecycle, including concept, design, test, release, and support phases * Build optimal backend applications that are performant at scale * Work together with the product leadership to plan new features * Oversee the compliance of applications with established quality standards What We Value * 4+ years software engineering experience * Strong understanding of business context and a desire to connect engineering solutions to real-world problems, driving impactful outcomes for the company and its users * Strong engineering background in technical fields such as Computer Science, Mathematics, Software Engineering, and Physics * Familiarity with data structures, CI/CD, software development lifecycles, backend frameworks, and other technical tools * Demonstrated proficiency in Python and Django, experience with Java is a plus * Demonstrated ability to learn and work independently and make decisions with minimal supervision * A desire to be part of the journey to change the face of healthcare * Inspire your colleagues with your thirst for mastering the things you work with * Are a passionate developer, proud of the quality of your work The salary range for this job opportunity is $100,000 to $240,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity. Because We Value You: * Competitive compensation and stock options * 100% company-paid health, vision, and dental insurance — for you and your dependents * Supplemental Life, AD&D, and Short-Term Disability coverage options * Discretionary time off — take the time you need, when you need it * Opportunity for rapid career progression * 3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment) * Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees * 401(k) retirement savings plan * Company-provided lunch and dinner for in-office employees * More exciting benefits coming soon! About Us Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company. Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. ⚠️ A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Angle Health using lookalike email addresses (like @anglehealthcareers.com). Please note that all legitimate emails from our team come from @anglehealth.com. We will never ask for sensitive information or conduct interviews via messaging apps. Compensation Range: $100K - $240K

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Overview We are seeking a Senior Fullstack Engineer to support the design and delivery of secure, scalable, enterprise-grade applications within a large financial services environment. This role will be instrumental in modernizing and enhancing cloud-native platforms that power critical banking systems. The ideal candidate brings deep expertise in Kotlin and Spring Boot, strong frontend capabilities with React and TypeScript, and hands-on experience operating containerized applications in AWS. This position requires a strong understanding of system reliability, security best practices, and performance optimization within highly regulated, large-scale environments. Key Responsibilities * Design, develop, and maintain secure, high-performance backend services using Kotlin and Spring Boot within a microservices architecture. * Build and enhance modern, responsive user interfaces using React and TypeScript, ensuring accessibility and maintainability. * Develop and maintain RESTful APIs that meet enterprise standards for scalability, reliability, and security. * Deploy, manage, and monitor containerized applications using Amazon ECS (Elastic Container Service). * Leverage core AWS services to design resilient, fault-tolerant cloud infrastructure aligned with enterprise architecture standards. * Design, implement, and optimize relational database solutions using PostgreSQL and/or MySQL, including complex query development and performance tuning. * Follow structured Git-based workflows using GitHub, including feature branching, pull request reviews, and controlled release processes. * Ensure adherence to secure coding standards, compliance requirements, and enterprise governance frameworks. * Identify and resolve system performance issues across application, database, and infrastructure layers. * Participate in architectural reviews and contribute to long-term platform modernization initiatives. * Collaborate with cross-functional stakeholders including product, security, DevOps, and enterprise architecture teams. Required Qualifications * 5+ years of experience in fullstack software engineering within complex, enterprise environments. * Strong backend development experience using Kotlin. * Proven expertise developing production-grade microservices using Spring Boot. * Hands-on experience with AWS (Amazon Web Services) and cloud-hosted infrastructure. * Experience deploying and managing containerized workloads using Amazon ECS. * Strong frontend development experience with React and modern JavaScript. * Proficiency in TypeScript to enhance scalability, maintainability, and type safety. * Solid understanding of relational database design and advanced SQL (PostgreSQL or MySQL). * Experience with Git-based version control and enterprise development workflows using GitHub. * Strong understanding of object-oriented design principles, design patterns, and distributed systems. * Experience working in regulated or compliance-driven environments is highly preferred. * Excellent communication skills and ability to collaborate across large, matrixed organizations. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description About MCU: At Municipal Credit Union, we believe that an incredible culture helps create a happy and motivated team that works hard to achieve the best results for themselves and their members. For more than 100 years, MCU has provided affordable financial products and convenient services to a membership base that is now comprised of over 600,000 individuals. With each new generation we have the pleasure of interacting with, we maintain the credit union promise of people helping people. Our Mission: To help hard-working New Yorkers build better tomorrows Our Vision: Be New York's most loved financial institution by helping our members build their best financial futures Overview: The Sr. Network Infrastructure Engineer is a key contributor to the operation and migration of MCU’s technology platforms who performs the technical tasks necessary to ensure reliable and optimal performance of the systems. Responsibilities: Specific duties include, but are not limited to, the following: • Design, Strategy, Implementation, administration for mission critical, multi-data center premise based/cloud connected entities. Network security management of appliances and tools for all internal/external connections., • Support, Administer, maintain Global DNS, DDoS, SFTP, Proxy Web Security and eMail Security ecosystems., • Maintain, deploy, upgrade and troubleshoot premise and cloud network and security infrastructure solutions. Including connectivity of firewalls/IPS/IDS, load balancers, routers, switches, IPSEC, Site-to-Site, remote client and vendor connected VPN. LAN/WAN/MAN Circuits., • Work with vendors, security and infrastructure teams to implement consistent technical solutions and support processes across the institution. Prepare documentation according to IT policies and standards to assure all network components/ solutions adhere to required security compliance and standards., • Provide ongoing analysis/recommendations for the continuous improvement of premise and cloud network and security architectures. Proactively analyze network security risk and actionable remediation efforts., • Detect and respond to alerts from network/end point detection tools., • Assess requested security policy changes, process firewall change requests, update URL/IP/DNS (block) lists as needed, • Perform routine and non-routine maintenance and repair activities for network devices and systems, • Ability to execute tasks with high accuracy and thoroughness, maintain confidentiality while dealing with proprietary and sensitive information. Requirements: • Extensive, expert hands on experience configuring Cisco Firewalls, IPS/IDS, Routers, and Switches., • Ability to efficiently resolve premise/cloud network issues with varying degrees of technical complexity., • Implement changes using established testing procedures and change control. Develop and execute test criteria for all impacted changes related to network and security devices., • Provide administration and support for projects/tickets/ BCP/Disaster Recovery procedures for the full network infrastructure inclusive of all Firewalls, Vendor connectivity, Web and DMZ services., • Experience with Load Balancers, SFTP, SSL Certificates, Secure Web Proxy services, and secure email gateways., • Must be able to work in a multi-functional, fast paced, high intensity team environment, work closely with other contractors and vendors as well as our employees directly, provide ad hoc advice/presentation support/attend meetings as needed with little or no notice., • Strong team player with excellent written and verbal communication skills., • Self-Starter, organized, meticulous documentation skills., • Must be able to handle, prioritize, and multitask numerous projects, tickets and issues concurrently., • Perform other duties as required, • Travel as required., • Provide 24 x 7 x 365 support coverage including nights, holidays, weekends, extended hours and various shifts. Competencies: • Cloud connectivity and security design and support, • Cisco Next Gen Firewalls, Security, AMP, ASA, FMC, ASDM, Firepower, • Catalyst Switches, Routers ISR 4K, ASR Platforms, • Fortinet Appliances, Barracuda, Palo Alto, SMA, ESA, SFTP products, • EIGRP, BGP4, OSPF, IP Multicast, HSRP, STP, LACP, Packet capturing tools, TCP/IP, Linux, NAT Our Core Values are an integral part of who we are and who we hire. By living our Core Values, every day, we continue to attract the best and brightest talent, achieve unsurpassed results and continuously challenge ourselves to be better than yesterday. These values are at the heart of our organization and within every teammate. To be a great fit, you’ll bring the following Results - We are passionate about winning. Agility - We proactively anticipate, respond and pivot to ensure MCU wins. Integrity - We operate with the highest ethical standards and highest degree of honesty. Belonging - We cultivate a culture of inclusion and teamwork. Ownership - We take personal responsibility and hold ourselves accountable for the results. What we can offer you: Competitive compensation, medical and dental benefits. 401K with employer match Flexible paid time off Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including, but not limited to knowledge, skills and abilities, as well as geographic location. Incentives and/or benefits packages may vary depending on the position. Municipal Credit Union (MCU) is an Equal Opportunity Employer. Municipal Credit Union 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 applicable federal, state or local laws. We are committed to hiring, training, cultivating, promoting, and celebrating an environment where we have a welcoming and fulfilling place for all people to call home. Diversity of race, thought, sexual orientation, age, veteran status, religion, and disability will empower us to thrive as individuals, as teams, and as an organization.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer working on platform, you'll design and build the internal backbone that makes Radical AI run: the services, frameworks, deployment primitives, developer workflows, and reliability systems that allow product engineers, scientists, and ML teams to ship faster - without breaking things. This is not a "tickets and toil" DevOps role. We're looking for a strong backend engineer who's spent years building real systems, and now wants to own the platform that makes every team faster.Mission • Build and operate core platform services that power production systems, • Design internal APIs, service patterns, and shared libraries that enable teams to ship quickly and safely, • Own reliability in real-world environments: deployments, failures, observability, incident response, and debugging, • Improve our developer experience: CI/CD, testing workflows, environment management, and self-serve tooling, • Aid in production hardening: rollout strategies, safe migrations, incident playbooks, reliability testing, • Service orchestration primitives: queues, schedulers, retries, idempotency, cancellations, and long-running workflows, • Partner closely with backend, ML, robotics, and science teams to turn platform needs into clean abstractionsAbout you, • 5+ years of experience building backend systems in production environments., • Strong software engineering fundamentals (design, implementation, testing, reliability)., • Fluency in at least one backend language: e.g., Python, Go, Rust, TypeScript, etc., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Comfort operating services in the real world: on-call, debugging, performance bottlenecks, failure modes., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Ability to build clean abstractions that other engineers actually want to use., • Solid understanding of Linux/Unix systems administration., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Strong ownership and bias toward action: you find the sharp edges and sand them down.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Experience with distributed systems (queues, schedulers, event-driven architectures, consistency tradeoffs)., • Background in scientific computing, robotics, or automation-heavy environments., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega).What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. The Head of Data & Analytics is a high-visibility, foundational role responsible for establishing the company's single source of truth for data across all functions. Acting as the analytical backbone of the business, you will ensure every critical metric is defined, governed, and reportable from one place — giving leadership the data clarity they need to make fast, confident decisions. You will translate raw data across a modern SaaS stack into a trustworthy, scalable intelligence layer that the entire organization can rely on. This role is designed for a seasoned data leader who excels at building from scratch — someone who can architect a data platform, establish governance standards, and be a genuine strategic partner to senior leaders – not just delivering data, but shaping decisions. You will connect data to business context, identify what matters, and provide clear, prescriptive recommendations. Reporting directly to the SVP of Business Operations, you will own the data infrastructure that underpins our next phase of growth. This role is intentionally hands-on to start. You will personally build and shape the foundation of our data platform while partnering closely with leaders across the business. As we scale, you will have the opportunity to evolve into a player-coach, building and leading a small but high-impact data team. In the first 6-12 months, you will: • Establish a clear, trusted definition of core company metrics across GTM, Product, Finance, and Customer Success, • Reduce reliance on manual reporting by automating high-impact workflows, • Build a scalable data model that connects our core systems into a coherent source of truth, • Enable leadership to access and trust data without needing constant ad hoc support What you can expect as the Head of Data & Analytics: • Build the single source of truth: Audit, rationalize, and own the company's data model end to end — from raw sources through transformation to consumption. Every key metric will have one definition, one owner, and one place to find it., • Identify the highest-impact manual reporting workflows across functions and automate them: Today, much of our reporting lives across spreadsheets and manual workflows, with no single owner of data. One of your first priorities will be to bring structure, consistency, and trust to this environment, and build a self-serve analytics layer that increases data trust and reduces ad hoc requests across the company., • Own executive and board-level reporting: Build and maintain the metrics layer that leadership, the board, and ultimately investors rely on — each defined, documented, and reportable from a single governed layer., • Mature the dbt layer: Partner with engineering team to audit existing dbt models, close gaps, and establish transformation standards that will scale the platform. You won't be coding alone, but you need to be fluent enough to review, direct, and govern the work., • Establish metric governance: Define the operating model for how metrics are created, changed, and communicated — including a cross-functional process for resolving metric disputes and maintaining a company-wide data dictionary that becomes the authoritative reference., • Build a scalable, auditable data foundation: Ensure our data is structured, documented, and fully traceable from source systems to reported metrics. Establish clear data lineage, metric definitions, and governance so leadership can rely on data with confidence as reporting needs become more complex., • Act as a strategic partner to senior leadership: Show up to QBRs, pipeline reviews, and planning cycles with a clear point of view on what the data means and what the business should do next. Be the person who changes decisions — not by reporting the data, but by interpreting it and making actionable recommendations., • Cross-functional data leadership: Partner with all functions to ensure their data needs are captured, while also challenging assumptions, refining questions, and guiding teams toward the metrics and analyses that drive better decisions., • Drive insight and action, not just visibility: Go beyond building dashboards to proactively identify trends, risks, and opportunities across the business. Translate data into clear recommendations and influence leaders on what actions to take — even when it challenges existing assumptions or priorities. To thrive in this role you have: • 7-10+ years in analytics, analytics engineering, or a senior BI role with hands-on data modeling experience, including experience owning or significantly shaping a company's data model or analytics infrastructure, • Experience building and governing a BI layer (e.g., Looker, Tableau): you know what good looks like, what breaks at scale, and how to make a BI tool something people actually use., • Experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift): Warehouse management, schema design, cost monitoring — you understand the platform and can make architectural decisions on it., • dbt fluency: You can read, write, review, and govern dbt models. You understand staging, intermediate, and mart layer design, and you have strong opinions about what belongs where and why., • Strong SQL: Window functions, CTEs, and performance optimization are comfortable ground. You write modeling SQL, not just analytical SQL., • Broad business fluency and SaaS literacy: You understand the operational levers of a SaaS P&L - ARR, NRR, churn, CAC, LTV, product velocity, product adoption, as well as financial levers, such as unit economics, financial performance ratios, financial analysis., • Track record of strategic partnership: You have been in rooms with senior leaders and said things that changed decisions — not because you were asked, but because the data told you something important. You elevate data from reporting to a strategic asset that shapes how the company operates and makes decisions., • Comfort operating without formal authority: You can direct an analytics engineer you don't manage, get a VP to prioritize data quality, and get Finance to adopt a metric definition they initially resisted., • Strong prioritization instincts: You focus on the highest-impact problems and avoid over-engineering, balancing speed with long-term scalability.Strongly preferred if you have:, • Experience building from scratch: You have built a data function, a data layer, or a centralized reporting infrastructure at a company that previously had none. You know how to sequence the work and how to manage stakeholder expectations during the build phase., • Salesforce data model familiarity: You understand how CRM objects map to business concepts and how to extract Salesforce data reliably into a warehouse environment., • Product analytics experience: You have worked with Mixpanel or a comparable tool and know how to join event-level product data with CRM and financial data to create a complete picture of customer behavior., • C-suite and investor exposure: You know what executives and investors ask for and what breaks under that scrutiny., • CS analytics background: Experience with customer health scoring, adoption reporting, proactive value engineering, or churn prediction data models, is a meaningful plus., • Background in FP&A, investment banking, or management consulting before moving into data — brings structured analytical thinking and executive communication skills. What VTS Values & How We Show It • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!, • Be Customer Obsessed - We're employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits, and a 401(k) plan. Not to mention the fun stuff - quarterly happy hours, wellness events, clubs, and team lunches!, • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!, • Move as One - We work in an open floor plan to promote cross-functional collaboration., • Take Ownership - Be an owner of the company you're building with our equity packages. With the VTS Platform, consisting of VTS Lease, VTS Market, VTS Activate, and VTS Data, every stakeholder in real estate is given real-time market information and workflow tools to do their job with unparalleled speed and intelligence. VTS is the global leader, with more than 60% of Class A office space in the U.S., and 13 billion square feet of office, residential, retail, and industrial space is managed through the platform worldwide. VTS is utilized by over 45,000 professionals and over 1.2 million total users each day, including industry-leading customers such as Blackstone, Brookfield Properties, LaSalle Investment Management, Hines, BXP, Oxford Properties, JLL, and CBRE. VTS maintains offices in New York City, London, Toronto, Chicago. To learn more about VTS and view our open roles, visit us at vts.com or follow us on Instagram (@WeAreVTS) or LinkedIn. Pay Transparency At VTS, we pride ourselves on articulating a clear and transparent philosophy around equitable, impartial compensation that will allow us to recruit and retain an exceptional team. The base salary is market-driven at the time of offer and is based on tier 1 market data. The salary for this role will range between $190,000 and $250,000 and is determined by several factors, including your skills, prior relevant experience, quality of interviews, leveling, and geography. EEO GuidelinesVTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.All your information will be kept confidential according to EEO guidelines. For more information about what we collect and how we use it, please refer to the Candidate Privacy Statement. If you have a disability or special need that requires accommodation at any time during the recruitment process, please let us know at Privacy Policy

Job Description Who we’re looking for… Role: Senior Full Stack Engineer Team: Engineering Reports To: Head of Engineering Location: Knit’s NYC office (Hybrid) Operating hours: Monday - Friday 9am - 5pm EST. Travel: This role will occasionally be expected to travel for in-person internal working sessions, and our once per year US All Team Summit. [To be less than 15%] A little about us… Knit is building the agentic AI platform that helps enterprise brands run end‑to‑end consumer research. We orchestrate specialized AI agents for surveys, data collection, analysis, and reporting, delivering decision-grade insights to Fortune 1000 brands in hours, not weeks. In under two years, we’ve partnered with 50+ leading enterprise brands, including Amazon, Mars, NASCAR, JBL, ESPN, and Paramount. Knit has grown 500% in the last 12 months and raised $30.6M to date, including a $16.1M Series A in July 2025. Here are example case studies that demonstrate the value of our platform. A product demo can be found here. Overview We’re building our foundational NYC engineering team from scratch and looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As one of the first in-house engineers, you’ll shape the core of our platform and the culture of a team that will scale to 20+ over the next 18 months. You’ll build and orchestrate AI agents, pioneer new UX paradigms, and tackle some of the hardest problems in applied AI with autonomy and end-to-end ownership. Business Impact | What you will own… • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You’ll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.This role is for you if..., • You’re a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You’re a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren’t opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You’ve got grit: hard problems energize you, context switching doesn’t scare you, and you’re comfortable deleting code.This role is NOT for you if..., • You see a hard line between "frontend," "backend," and "product.", • You are uncomfortable with ambiguity, rapid context-switching, and dynamic priorities., • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we’re building the NYC hub together; whiteboards > long threads. Upon joining the Knit team in this foundational role, you will receive a competitive salary, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the expected base salary range for this role is $200,000–$275,000 annually; final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Powered by JazzHR aYoi81irtu

Job Description WHY WE EXIST Money should move as easily as data. It doesn't today. Technology is finally catching up to the need — customers expect instant, global, programmable money. HIFI exists to fix that. Our mission is to make money programmable by default, and to give developers and businesses the tools to move value at software speed. We're rebuilding the financial plumbing of the internet from the ground up. THE ROLE As a Senior Backend Engineer at HIFI, you'll own critical components of our payments infrastructure — from API design and data modeling to event-driven pipelines and financial-grade reliability. You'll work across the full lifecycle of modern money movement: account creation, fiat and stablecoin settlement, global payouts, and onchain connectivity. This is not a maintenance role. You'll solve hard, novel problems at the edge of what's possible in financial infrastructure, move fast, own your systems end-to-end, and directly shape how billions of dollars flow through the internet. If you touch it, you own it. That's how we work. WHAT YOU'LL BUILD * API Development: Design, implement, and optimize APIs connecting businesses to HIFI's financial infrastructure, with a focus on performance, reliability, and developer experience. * Core Infrastructure: Build and scale backend systems that process transactions with strong guarantees around scalability, reliability, and fault tolerance. * System Performance: Continuously improve throughput, efficiency, and resilience across distributed services. * Collaboration: Work closely with product, compliance, and business teams to deliver end-to-end solutions. * Ownership: Carry projects from design through production and participate in technical roadmap planning. WHAT WE'RE LOOKING FOR * Bachelor's degree in CS, Engineering, Math, or related STEM field — or equivalent experience * 4+ years building and shipping backend systems in production at scale * Proficiency in JavaScript/TypeScript or other modern backend languages (e.g., Go, Python, etc) * Experience with relational databases (PostgreSQL), RESTful APIs, and event-driven systems (pub/sub, queues, streaming) * Experience with cloud platforms (AWS preferred) and containerization tools (Docker, Kubernetes) * Comfortable owning systems in production: CI/CD, observability, incident response * Strong communication skills across technical and non-technical teams * Must be within commutable distance from our New York office and able to work in person most days NICE TO HAVE * Experience with financial-grade systems: ledgering, reconciliation, settlement, or compliance-aligned design * Hands-on with global payment rails (ACH, SWIFT, SEPA) or stablecoin infrastructure (EVM, USDC) * Knowledge of query optimization, distributed transactions, or caching/data pipelines * Prior early-stage startup experience — you've built from zero to one before THE HIFI CODE This is how we operate. Not aspirational — actual. Ownership If you touch it, you own it. Speed We bias toward motion. Clarity Confusion is a signal to act. Standards Quality matters always. Truth We value directness without drama. COMPENSATION & BENEFITS The expected salary range for this role is $135,000 - $160,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. We offer full health coverage (medical, dental and vision) and unlimited PTO. We're changing how modern business moves value. If that sounds like the problem you want to spend the next chapter of your career on, we'd love to meet you. EQUAL OPPORTUNITY STATEMENT HIFI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We also provide reasonable accommodations during the hiring process. By submitting your application, you acknowledge that HiFi will process your personal information in accordance with our Applicant Privacy Policy. Compensation Range: $135K - $160K

Job Description About Coresite: At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we’re not just building state-of-the-art infrastructure—we’re creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Engineer Role: As a member of the company’s Engineering team, the Data Center Design & Performance Engineer is responsible for designing and reviewing electrical, mechanical, and site plans. This role requires making independent decisions and consistently exercising sound judgment to ensure alignment with CoreSite’s design standards. A strong understanding of electrical and mechanical systems, particularly in relation to data center redundancy and operations, is essential. The Engineer will collaborate closely with facility and operations teams to ensure all equipment installations are thoroughly reviewed and meet CoreSite's build standards. Duties: • Evaluate the efficiency, reliability, and engineering design of electrical, mechanical, plumbing, fire and life-safety, and building management systems for expansion and upgrade projects, • Define the scope for testing and commissioning to ensure design intent and operability of systems supporting the data centers, • Provide final quality assurance sign-off for engineered systems at the end of construction, • Collaborate with Sales Engineering to design custom engineering solutions for customer deployments, • Support the sales process for complex opportunities by providing technical expertise, • Assess installed systems to optimize efficiency and reliability, • Review and approve engineering modifications to existing facilities, • Provide engineering support to Data Center Operations, including failure analysis and system maintenance of critical infrastructure, • Ensure quality control for Operations teams, focusing on equipment, safety, and maintenance best practices, • Support commissioning activities by reviewing test scripts and witnessing test performance, • Maintain up-to-date documentation related to design, procurement, and operational standards, • Special projects as assigned Knowledge, Skills, & Abilities: • Ability to work 40% on-site from an approved CoreSite Market and 60% remotely from that same market, with flexibility to adjust onsite expectations as business needs evolve, • Ability to travel up to 40% of the time to support testing and construction activities, with flexibility to adjust travel commitments as business needs evolve. Must demonstrate adaptability in managing travel requirements in response to company growth, • In-depth working knowledge of data center design, operations, and infrastructure, • Strong strategic problem-solving abilities with a proactive approach to challenges, • Proficiency in AutoCAD, or other computer aided design software, as well as in Microsoft Office, primarily Excel, • Ability to operate and interpret results from test equipment, such as power quality meters, thermal imaging cameras, multi-meters, to evaluate and troubleshoot equipment operation and performance, • Commitment to personal development and the ability to pursue relevant certifications and accreditations (i.e. LEED AP, CDCDP, etc.), • Excellent written and verbal communication and problem-solving skills, with the ability to collaborate effectively with diverse personalities and cross-functional teams in both on-site and remote environments, • Bachelor’s degree in Engineering or a related field preferred; equivalent work experience, preferably within the data center, telecommunications, or real estate industry, considered in lieu of educational qualifications. The physical demands described here are representative of those that must be met by an employee to successfully perform the job’s essential functions. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the job’s duties, the employee is occasionally required to stand; walk, sit, use hands to handle or feel objects, reach with hands and arms, climb stairs, balance, stoop or kneel, talk, and hear. The employee must occasionally lift and/or move up to 25 pounds. Ability to travel is required. Compensation: Compensation for this role includes a base salary between $110,000 to $135,000 annually. This role is also eligible for an annual bonus and equity, based upon individual and company performance. Posting Timeline: This position is expected to be posted through April 15, 2026. Benefits Not only does CoreSite have a fun, team-focused work environment, but we also offer great benefits to all employees regularly scheduled to work more than 20 hours a week! • First-day medical insurance through Cigna with generous premium cost coverage, • Dental insurance through Delta Dental, • Vision insurance through VSP, • Telemedicine through MDLive for Cigna, • Healthcare and dependent care flexible spending account (FSA) plans, • Health saving account (HSA) plans for employees participating in the High Deductible Health Plan, • Life, AD&D, short-term disability, and long-term disability insurance fully paid by the company, • Voluntary coverage benefits for supplemental life, critical illness, accident, and hospital insurance, • First-day eligibility for 401(k) savings plan through Fidelity, which includes an attractive matching company contribution with a 5% company match, • Discretionary annual bonus and equity incentive plan, • Employee stock purchase plan (ESPP) with a 15% discount, • 16 days of paid time off (PTO)11 paid company holidays and additional floating holidays, • Additional paid time off for school events, elder care, volunteering, bereavement, jury duty, voting, parental leave and disability leave, • Free parking or a company contribution toward a public transit pass Additional Perks • Wellness Reimbursement Program: Yearly stipend of $500 for employees and $300 for dependents, up to $800 total for the family, • Wellness Incentive Program: Participate in various wellbeing activities to earn up to $450 per year in cash incentives, • Technology Stipend: $100 monthly stipend., • Educational Reimbursement Program: Work-related learning and development with reimbursement on qualifying degree programs, up to $5,250 per year, • Giving Back: Charitable donation matches up to $5,000 per year and nominate organizations for Company Foundation grants, • Financial Management: Access to financial coaching, digital tools and services to manage and pay student loan debt quicker, • Pet Insurance: Keep your furry friends healthy and happy, • Family Planning: Benefits and services related to fertility, pregnancy, menopause, adoption and surrogacy, • Employee Assistance Program: 24x7 service to support family, work, money, health, legal and life challenges, • Counseling and Caregiving Programs: Including access to mental health services, licensed counselors, and caregiving tools including membership for finding care., • Referral Bonus: Receive a $3,000 cash bonus if referred candidate is hired and meets eligibility requirements, • Discounts: Discounts, cash back offers and perks on thousands of brands, • LinkedIn Learning Membership: Support your development when accessing LinkedIn’s online library of courses and videos General Statements - Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visas. Please note that all offers of employment are contingent upon the successful completion of a background check and, where permitted by law, a 5-panel drug test conducted after the offer letter is signed, which will screen for THC, opiates, PCP, cocaine, and amphetamines. Thank you for your understanding and cooperation. Applicant Privacy Notice: CoreSite is committed to protecting the privacy and security of personal information submitted by applicants. The California Consumer Privacy Act (CCPA) requires us to provide you information about our personal information handling practices. As a result, we’re providing this Privacy Notice that describes how we collect, use, share, and update personal information from individuals who wish to be considered for employment with CoreSite. To read the Applicant Privacy Notice, please go to . Unauthorized reproduction or distribution of this job posting on external sites is prohibited without prior written consent from CoreSite. We are not responsible for any postings or offers not originating from our official channels or approved partners.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Senior Full-Stack Engineer, you will be responsible for designing, implementing, and maintaining systems and services that form the foundation of Alpaca and empower millions of users who trade billions of dollars worth of assets. The Internal Tools Team is responsible for building and maintaining user-facing tools that empower Alpaca's internal operations teams. Our focus is on streamlining workflows at scale through intuitive self-serve interfaces and automation. We work closely with internal stakeholders to understand their needs and deliver high-quality, scalable solutions that improve efficiency, reduce manual overhead, and enable teams to operate with greater autonomy. For this role, we seek an experienced Senior Fullstack engineer dedicated to delivering seamless and high-quality software solutions for our internal operations teams. The ideal candidate has a proven track record of designing and building scalable applications and is comfortable challenging conventions and advocating for innovative solutions. In this position, you will have the autonomy to architect and implement solutions that meet our strategic objectives, while also actively contributing to the goal-setting process alongside a collaborative, cross-functional team. Things You Get To Do: • Own projects that push the boundaries of Alpaca's internal tools and systems., • Work across domains to build features end-to-end, gaining exposure to the full spectrum of Alpaca's infrastructure., • Stay deeply connected to the needs of internal operations teams, building tools that streamline workflows and reduce manual effort., • Drive architectural design conversations, helping shape scalable, intuitive, and reliable systems., • Collaborate closely with cross-functional teams to deliver impactful solutions., • Play a key role in improving our response times and helping internal teams provide world-class customer support., • Work directly with stakeholders, maintain relationships, and implement solutions that have a direct impact on Alpaca operations., • Take ownership of high-visibility, high-impact initiatives with autonomy and accountability. Who You Are (Must-Haves): • 5+ years of experience in full-stack development with Golang & TypeScript/React., • Excellent communication and collaboration skills., • Ability to collect and translate stakeholder requirements into fully realized features., • Proficient in TypeScript and React., • Proficient in HTML and CSS frameworks such as TailwindCSS., • Proficient in at least one modern systems programming language like Golang or C#., • Passionate about creating intuitive and performant user interfaces., • Experience with SQL and relational databases, preferably PostgreSQL., • Experience with REST APIs and best practices., • Attention to detail and an appreciation for design aesthetics. Who You Might Be (Nice-to-Haves): • Algo trading experience (either professional or personal)., • Experience with major cloud platforms (we primarily use GCP)., • Experience or understanding of financial markets., • Experience with Docker and Kubernetes., • Experience working at a startup., • Experience working remotely.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Director of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionSalary: $83,200-$99,840 annual base salary DOE About mcfa: We are a professional services firm in the Architecture/Engineering/Construction (AEC) industry serving public and private sector clients in the Mid-Atlantic region. Our services include Strategy, Planning, Program Management & Construction Management. Our goal is to help every employee design a fulfilling career through alignment of their individual passions/skills with the vision of the organization. Our mission is "Inspiring People and Places through Project Leadership and Project Development". How you'll get to contribute: We are seeking a dedicated and skilled Construction Inspector with a NICET II certification to join our growing Transportation & Infrastructure Division. In this role, you will be responsible for overseeing and inspecting bridge construction and/or bridge substructure repair near Newark, NJ, ensuring that all work is completed in accordance with established standards, specifications, and regulations. This role may also involve office engineer duties as outlined below. Work schedule varies according to job assignments and/or contractors schedule, to include night work, weekends, and holidays. Appointment to this position is subject to client review and approval. mcfa Core Values (LEADS): • Love (each other, mission, work), • Entrepreneurial (spirit of innovation), • Accountability (to ourselves, our clients, each other), • Delight (customers and teammates), • Stretch (individual and collective growth mindset) What you'll get to do: • Conduct regular on-site inspections of highway and/or bridge construction projects and inspect related work materials to ensure compliance with design specifications, safety standards, and state regulations., • Monitor and document the progress of construction activities, identifying any deviations from the planned schedule or specifications., • Coordinate with project team members, engineers, and contractors to address and resolve any issues that arise during construction., • Review and interpret construction plans, blueprints, and specifications to ensure accurate implementation on-site., • Prepare detailed reports on inspection findings, including recommendations for corrective actions when necessary, and daily records of the numbers and classifications of workers employed by contractors., • Maintain daily records covering running totals of quantities and costs while construction is in progress., • Prepare and forward weekly quantity summaries for items associated with the contract., • Assist in the development and implementation of quality control procedures., • Review traffic protection procedures., • Attend meetings and conferences as needed. Who you are: • Required, • Certified by NICET as a Transportation Engineering Technician (NICET Level II), • Note: NICET Level III will also be considered for this role. Compensation is negotiable., • 5+ years of experience in construction inspection, with a focus on transportation infrastructure projects., • Strong knowledge of construction methods, materials, and legal regulations., • Excellent communication and interpersonal skills., • Ability to read and interpret engineering drawings and specifications., • Proficient in Microsoft Office and project/construction management software., • Valid drivers license and willingness to travel to various project sites within New Jersey and NYC Metro Area., • Preferred, • Bachelor's degree in Civil Engineering, Construction Management, or a related field., • NJSAT, NACE, ACI Grade-I and TCC/TCP Certifications What's in it for you: Annual Paid Time Off: • Sick Leave: 5 Days (40 Hours), • Vacation: 15 Days (120 Hours), • Following your first full quarter worked, you will qualify for a profit-share bonus that is distributed at the end of each quarter if company targets are hit., • Incoming Growth Units: 10, • Eligible to participate in mcfas family medical, dental and vision coverage; plan access begins on the first day of employment., • mcfa contributes up to 75% shared cost, not to exceed $700 per month., • Companypaid life insurance plan (up to $100,000 per employee)., • You are eligible to participate in Company retirement plan (401k) on first day of employment with mcfa. mcfa is an Equal Employment Opportunity Employer. mcfa does not discriminate against any applicant or employee with regard to hiring, tenure of employment, promotion, transfer, selection for training, or any other terms or conditions of employment because of race, color, religion, sex, age, sexual orientation, disability, gender identity or national origin, status as a Vietnam-era or special disabled veteran in accordance with applicable federal law, or on any ground protected by state or local law in each area in which mcfa maintains facilities.

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products. What You'll Do: • Define and drive CoreWeave's Managed databases technical roadmap and strategy., • Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency., • Build solutions that offer programmatic access to creating, scaling, and modifying databases., • Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities., • Develop operational review practices to assess performance against targets and iterating on those targets., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader., • Prior experience with managed databases as a SaaS offering., • Proven experience building products to address customer needs., • Prior experience of building AI features in production is a plus., • Proficiency in Golang or Python., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $227,000 to $303,000. 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 Civil Designer / Civil Engineer (Site Design) Laland Baptiste, LLC is a certified minority and woman-owned construction management and consulting firm. Laland Baptiste provides innovative and professional services throughout all phases of the construction life cycle. We pride ourselves on being loyal and reliable to our customers, clients, and our greatest assets—our people. Laland Baptiste is dedicated to providing unparalleled services primarily for public clients, including the NYS Office of General Services, the State University Construction Fund, DASNY, NYC Health + Hospitals, NYC DDC, NYC Parks & Recreation, and the NYC School Construction Authority, among others. We are seeking a Civil Designer or Civil Engineer with experience or a strong interest in site civil design to support infrastructure and site development projects. This position works under the supervision of a licensed PE and offers significant growth opportunities in site civil design for those looking to advance their technical and professional skills within our diverse portfolio of public works. Key Responsibilities · Technical Design: Prepare comprehensive site civil drawings and construction documents using AutoCAD/Civil 3D. · Infrastructure Development: Assist with grading, drainage, and utility design to ensure functional and compliant site layouts. · Plan Set Production: Develop detailed plan sets, profiles, and technical details for diverse infrastructure and public works projects. · Project Coordination: Work collaboratively with engineers, project teams, and various municipal stakeholders to ensure design integrity and project milestones are met. Qualifications · Education: Degree in Civil Engineering · Experience: 1–5 years of experience in site civil design (relevant internship experience will be considered). · Technical Skills: Proficiency in AutoCAD is required; Civil 3D is strongly preferred. · Core Knowledge: A solid understanding of site civil design principles, specifically grading, drainage, and utilities. Preferred Qualifications · Certifications: EIT certification is a plus but not required. · Local Standards: Experience with local permitting and municipal standards (especially NYC/NYS agency requirements) is highly valued. Powered by JazzHR VM2aiCpjoi

Job DescriptionCareer Renew is recruiting for one of its clients a Senior/Staff Backend Engineer - Crypto - this is a fully onsite role in NYC. We are the development company that builds and operates the entire technology stack behind the largest memecoin launchpad in production today. ~$1B daily volume. Low latency, high throughput, constant load. What You’ll Do * Own the most critical and complex backend systems, directly writing and shipping production code across core services * Lead the design and implementation of high-scale distributed systems that power real-time, high-throughput workloads * Set technical direction for foundational backend architecture while remaining deeply involved in execution * Make principled architectural decisions that balance iteration speed with long-term scalability, resilience, and maintainability * Drive multi-service initiatives that cut across storage, compute, APIs, and blockchain infrastructure * Anticipate scaling constraints and correctness risks before they surface, proactively designing durable solutions * Establish patterns and standards for observability, reliability, performance tuning, and operational excellence * Raise the engineering bar through design reviews, RFCs, and direct mentorship, influencing through technical depth and clarity of thinking * Act as a technical anchor during high-pressure incidents, ensuring systems remain stable under load * Improve internal developer velocity by evolving tooling, CI/CD pipelines, and service abstractions Who You Are * 10+ years of backend engineering experience, with multiple cycles of building, scaling, and operating distributed systems in production * Proven track record of owning foundational backend architecture in high-growth or high-scale environments * Deep expertise in Rust, Go, or TypeScript, with strong systems-level intuition * Strong understanding of distributed systems design: consensus, failure modes, replication, consistency models, and performance tradeoffs * Extensive experience with database design and data modelling, including complex tradeoffs around consistency, latency, and durability * Comfortable owning ambiguous, cross-cutting problems that span multiple services and teams * Recognised as a go-to technical authority by senior engineers and peers * High-agency and execution-focused. You shape direction by building * Crypto experience is a plus What it's like to work here * We work in person * Hours can be long and unconventional * The pace is intense * Expectations are high, and impact is immediate * Working at Baton is not for everyone Why Join Us? * Unmatched ownership and autonomy * Exposure to systems operating at the edge of crypto scale * The ability to ship fast and see real-world impact immediately If you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here. Compensation & Package $500K – $1.5M • $75K – $500K Equity • Offers Bonus

Job DescriptionAbout Us At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role OverviewWe're looking for a Protocol Engineer to join our core blockchain team and help build the foundation of Web3 payments infrastructure. This high-impact role offers the opportunity to work on challenging technical problems at the intersection of smart contracts, cross-chain protocols, and decentralized finance. You will design and implement secure, efficient smart contract systems and blockchain integrations that power millions of transactions across multiple chains. This role is perfect for a technically strong engineer who thrives in fast-paced environments and wants to shape the future of decentralized finance.Responsibilities • Design, develop, and deploy secure smart contracts and protocol implementations across multiple blockchain platforms, • Collaborate with backend and product teams to architect blockchain solutions that meet business requirements, • Write highly efficient, well-tested code and participate in security audits to ensure protocol safety, • Research and evaluate new blockchain technologies, protocols, and DeFi primitives for integration opportunities, • Contribute to incident response and debugging on-chain issues to ensure protocol reliabilityRequirements, • Strong experience building and deploying production smart contracts on major blockchain platforms, • Deep understanding of blockchain architecture, consensus mechanisms, and cryptographic principles, • Hands-on experience with smart contract development languages (Solidity, Rust, Move, etc.), • Solid grasp of DeFi protocols, token standards, and cross-chain communication patterns, • Strong security mindset with knowledge of common smart contract vulnerabilities and best practices, • Clear communicator who can explain complex blockchain concepts to cross-functional teamsNice to Have, • Production experience with multiple blockchain ecosystems (Ethereum, Solana, L2s, etc.), • Previously worked at crypto startup or Web3 infrastructure company, • Experience with cross-chain bridges, oracles, or interoperability protocols, • Background with high-volume DeFi protocols or DEX infrastructure, • Contributions to blockchain open source projects or protocol research

Job DescriptionAbout the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help build and scale its core product. This engineer will work across the frontend and backend, contributing directly to customer-facing features as well as internal systems. The role offers a high level of ownership and influence over technical decisions in a fast-paced environment. This position is well-suited for an engineer who enjoys working closely with product and design, shipping quickly, and improving systems over time. What You’ll Do * Build and maintain full stack web applications used by customers and internal teams * Develop scalable backend services and APIs to support product features * Implement modern, responsive frontend interfaces with a focus on usability and performance * Collaborate with product managers and designers to define requirements and deliver solutions * Contribute to architectural decisions and technical roadmap planning * Write high-quality, well-tested code and participate in code reviews * Help improve engineering processes, tooling, and system reliability * Mentor junior engineers and contribute to a strong engineering culture Tech Environment The engineering team works with a modern startup stack, including: * Frontend: React, TypeScript, Next.js * Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI) * Databases: PostgreSQL, Redis * Cloud & Infrastructure: AWS or GCP, Docker, CI/CD * APIs: REST and GraphQL * Tools: Git, GitHub, modern monitoring and logging tools What We’re Looking For * 5+ years of professional software engineering experience * Strong full stack experience with modern JavaScript/TypeScript * Proven experience building and maintaining backend services and APIs * Solid understanding of relational databases and data modeling * Experience deploying and operating applications in cloud environments * Ability to work independently and take ownership of projects * Prior experience in a startup or fast-moving product team is a plus Compensation & Benefits * Base Salary: $160,000 – $210,000 (San Francisco senior-level range) * Equity: Competitive equity package * Benefits: Medical, dental, vision coverage; flexible PTO; standard startup benefits * Work Model: Hybrid or remote-friendly depending on location and team needs Equal Opportunity This role is with an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, or veteran status.

Job Description Technical Account Executive - Infrastructure Platform - 27772826 Join a fast-growing startup building the future of infrastructure management Are you ready to be the first quota-carrying Account Executive at a cutting-edge infrastructure company? We're looking for a technical sales professional to own the full sales cycle and help scale our go-to-market motion from the ground up. ???? Compensation & Benefits Base Salary: $138K - $175K OTE: $275K - $350K Equity: Competitive equity package Location: In-office in Chelsea, New York (full-time on-site) Hiring: Looking for 1-2 exceptional candidates Note: Visa sponsorship not available What You'll Do Own the Complete Sales Cycle • Drive end-to-end sales from outbound sourcing through negotiation and close, • Run technical discovery with engineering teams (SRE, Platform, Infrastructure), • Lead technical evaluations, coordinate pilots, and navigate security/compliance reviews, • Develop talk tracks, objection handling frameworks, and ROI narratives, • Create scalable playbooks and operating rhythms for future team growth, • Partner directly with founders and product teams to influence roadmap Core Requirements • 2-4 years B2B SaaS sales experience with proven deal sourcing and closing track record, • Experience selling technical products (dev tools, infrastructure, security, data) to engineering buyers, • Demonstrated ability to run structured discovery and turn technical pilots into wins, • Strong outbound pipeline creation skills and comfort with limited inbound volume, • High ownership mindset and excitement for building processes while selling, • Excellent written/verbal communication with both engineers and executives Bonus Points • Prior experience as Solutions Engineer, SRE, or Software Engineer, • Background selling observability, monitoring, incident response, or reliability tools, • Enterprise deal experience with complex security/compliance requirements, • Network in the NYC engineering ecosystem ???? Founding Team Opportunity • Be the founding Technical AE at a company with strong momentum and $20M in funding, • Join a unique technical team including engineers who've won Jeopardy and were top college debaters, • Team Size: 18 employees in a tight-knit, high-performing environment, • Industry: DevTools, Software Development, B2B, • Mission: Automate everything after deployment so teams spend less time on maintenance and more time building, • Competitive compensation with $275K-$350K OTE potential, • Generous equity in a fast-growing, well-funded startup, • Full benefits coverage - health, dental, vision, plus retirement, • Unlimited PTO and flexible work environment, • Perks that matter - late night dinners, fitness stipend, top-tier equipment, • NYC benefits - Citi Bike and transit support If you wish to be part of this successful and vibrant organization, please email a MS Word version of your resume to . Cube Management is a leading recruiting and consulting partner to emerging growth, mid-market and global companies in the technology, manufacturing, healthcare, consumer package goods and business service sectors. We work across the spectrum of Operations, Sales, Marketing, Safety, Engineering, Accounting and Business Development, providing holistic solutions that drive revenue and profit success. Cube Management combines Strategy, Process and People, to produce great results. For a complete listing of our current job listings please visit