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Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

Job Description About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We're looking for a Staff Engineer who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. This person will not only contribute directly to technical design and implementation but also foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities • Provide technical leadership and mentorship to members of the Platforms team, supporting their professional growth and helping them achieve their potential., • Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies., • Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks., • Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms., • Lead efforts on data ingestion and export processes, improving efficiency and reducing dependencies on legacy technologies., • Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management., • Champion continuous improvement efforts, including cost control measures and technological upgrades., • Oversee the development of internal tools that streamline workflows and reduce duplication of effort in development environments., • Ensure the platform meets rigorous testing and security standards to maintain data integrity and security., • Participate in an on-call rotation to ensure meeting SLA Qualifications • Core software engineering skills, including proficiency in languages such as Python and Ruby., • Strong system administration experience, including fluency with Linux, networking, and bash scripting., • Proficiency with GCP., • Proficiency with cloud tools and distributed systems, such as Kubernetes, Kafka, Postgres, and Elasticsearch, or equivalent technologies., • Demonstrated expertise in Infrastructure as Code using tools such as Terraform., • Ability to design and implement scalable, resilient cloud infrastructure., • Strong analytical and troubleshooting skills with a proactive approach to problem-solving., • Excellent communication and interpersonal skills, able to engage effectively with both technical and non-technical stakeholders., • Experience addressing scaling challenges and resource contention in distributed systems., • Engagement with the open-source community, including tool research, bug reporting, and code contribution., • Expertise in cloud data security Salary Range ($190- $230K) plus health insurance and equity. United States - Remote Pay Range$190,000—$230,000 USD

Job DescriptionAt Fun, we’re building the financial infrastructure for internet capital markets. The systems that power global finance were designed for a different era: slower, fragmented, and constrained by borders. Today, value is digital, global, and moves instantly, but the experience of moving it hasn’t caught up. Fun offers the highest converting payment solution in the digital asset space – a unified system that enables users to complete any on-chain action using crypto, exchange balances, or fiat from a card or bank account, all in a single, seamless flow. Our goal is simple: make transacting with any asset feel effortless, anywhere in the world Role Overview We're looking for a Backend Engineering Manager to lead and scale our backend infrastructure team. This high-impact role reports to the CTO with significant opportunity to shape our technical architecture and engineering culture as we scale. You will be drive technical excellence while building a high-performing team - ensuring we deliver robust, scalable backend systems that power seamless Web3 payments. This role is perfect for a crypto-native engineering leader who excels at balancing technical depth with people management.Responsibilities • Own the overall output of the backend engineering team - deliver reliable, scalable infrastructure that supports our growing Web3 payments platform, • Lead, mentor, and grow a team of backend engineers while fostering a culture of technical excellence and continuous learning, • Collaborate with product and protocol teams to translate business requirements into robust technical solutions, • Establish engineering best practices, code quality standards, and deployment processes, • Lead incident response and post-mortem processes to continuously improve system reliabilityRequirements, • Experience as an IC engineer with staff level output, • Strong technical background in distributed systems, APIs, and database design, • Opinions on a modern cloud stack, • Leadership experience in high-performing engineering teams, • Experience with payment systems, financial infrastructure, or fintech applications, • Exceptional communicator who can translate technical concepts to cross-functional stakeholders, • Data-driven approach to decision making with focus on system performance and team productivityNice to Have, • Previously worked at crypto startup or Web3 infrastructure company, • Experience with blockchain integrations, smart contracts, or DeFi protocols, • Background with high-scale payment processing or financial compliance systems

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Industrial Engineers Type: Contract Compensation: $70–$110/hour Location: Remote Duration: 3–4 weeks Commitment: 30–40 hours/week Role Responsibilities • Create deliverables addressing common requests in your professional domain., • Review peer-developed deliverables to improve AI research., • Collaborate with AI research teams to enhance model outputs., • Work independently and asynchronously to meet deadlines while advancing AI infrastructure. Must-Have • 4+ years professional experience in your respective domain., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Experienced - Mechanical Engineers Type: Contract Compensation: $100/hour Location: Remote Duration: 3–4 weeks Commitment: 10–20+ hours/week Role Responsibilities • Diagnose and solve real issues in mechanical engineering to support AI lab research., • Create tasks and deliverables for common requests within your domain., • Contribute expertise to advance machine learning systems., • Work independently and asynchronously to meet deadlines. Must-Have • Bachelor's degree from an accredited institution., • PhD or 4+ years of experience., • Upload resume, • AI interview based on your resume

Job Description About Us We are a specialized law firm focused on private markets, leveraging AI-powered software to deliver high-quality legal analysis with greater speed and efficiency than traditional methods. Our clients include top-tier endowments, foundations, and institutional investors across private equity, venture capital, real estate, and hedge funds. We have completed a seed round led by Flybridge Capital Partners. About the Role As our first Senior Full-Stack Engineer, you'll play a critical role in shaping the technology stack, designing scalable solutions, and owning both backend and frontend development. You will report into the CTO. We seek a problem solver who thrives in the dynamic environment of a startup and is eager to engage with cutting-edge technologies in AI and legal tech. Responsibilities • Design, build, and maintain scalable distributed systems with robust server-side logic, • Develop and refine GraphQL APIs, focusing on serverless architectures and seamless third-party API integrations, • Manage and optimize relational databases (Postgres or similar), • Drive frontend development using Next.js and TypeScript, delivering clean, maintainable, and performant code, • Improve application performance, scalability, and reliability through strategic use of cloud platforms (Vercel, AWS, or GCP), • Implement and uphold best practices in engineering processes, including CI/CD, automated testing, and code quality, • Respond proactively to production-level alerts and participate in on-call rotations as needed Requirements • 7+ years of experience as a full-stack engineer in a fast-paced startup or agile environment, • Strong API design skills, especially with GraphQL and serverless architectures and proficient in relational database management, • Deep expertise with Next.js, TypeScript, and modern frontend development practices, • Proven experience deploying and managing applications on cloud platforms such as Vercel, AWS, or GCP, • Knowledge of security best practices, particularly around data security and SOC2 compliance, • Excellent communication skills, capable of clearly articulating technical concepts Team Our goal as a company is to remain as efficient as possible by using technology. We will have a hiring constraint and encourage all leaders to use AI and other technologies to create efficiencies and leverage. Work Arrangements Our current plan is that all professional employees will be located within commuting distance to NYC and will come into the office 3 days a week. Benefits and Paid Time Off We provide healthcare, dental and vision coverage. Currently, we do not specify the number of days of paid time off an employee may take (which is often referred to as unlimited paid time off). Benefits are subject to change as the company grows and evolves. Compensation The expected base salary range for this position is between $175,000 and $200,000 plus equity. Actual compensation will be determined based on experience and other factors as permitted by law.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100/hour Location: Remote Duration: 1 month Commitment: 20 hours/week Role Responsibilities • Develop and maintain complex, production-grade Python systems for real-world environments., • Design modular, testable codebases using modern Python tooling and best practices like FastAPI and Pydantic., • Optimize Python performance through profiling and memory optimization techniques., • Collaborate asynchronously with AI research teams to improve model training and evaluation. Must-Have • Experience working at top US tech firms., • Proven track record with complex Python systems., • Deep understanding of Python language fundamentals., • Upload resume, • AI interview based on your resume

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. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • 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 Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Full Stack Engineer at Moxxi, you will play a key role in building and scaling our performance marketing platform from backend APIs and data services to intuitive, data-rich front-end experiences. You will collaborate closely with product, design, and business stakeholders to create tools that help Ad operators manage, optimize, and personalize campaigns in real time. This is a front-end leaning full-stack role where you will own features end-to-end, contribute to technical strategy, and help shape the evolution of Moxxi's ad delivery and optimization systems. If you thrive in fast-moving environments, love solving complex technical problems, and want to see your code drive measurable business impact, this is the role for you. Responsibilities: • Design, build, and maintain data-rich, low-latency, performant web applications using TypeScript, React, and Next.js., • Develop reusable, responsive UI components and design systems that scale across Moxxi's performance marketing tools and dashboards., • Collaborate with product and design teams to translate complex workflows into intuitive, elegant interfaces., • Build and maintain backend APIs and services (primarily in Go) that support front-end features and integrations., • Work closely with backend and data engineers to deliver campaign analytics, reporting, and personalization features., • Implement robust testing, monitoring, and performance optimization practices for frontend and API layers., • Contribute to architecture discussions, technical design, and system scalability planning., • Ensure code quality, maintainability, and accessibility across all user-facing surfaces., • Mentor and support junior engineers through code reviews and pair programming., • Collaborate cross-functionally with product, design, and operations teams to deliver impactful, user-centered solutions., • Stay current with trends in frontend frameworks, cloud-native systems, and AdTech innovation, bringing fresh ideas into Moxxi's platform.Basic Qualifications:, • 6–10 years of professional software engineering experience, including 4+ years building production-grade frontends., • Strong fluency in TypeScript, React, and modern frameworks like Next.js., • Solid backend experience with Go (Golang), Node.js, or Python, and familiarity with RESTful or GraphQL APIs., • Strong understanding of state management, component architecture, and API design., • Experience integrating with cloud-native environments (GCP preferred) and containerized deployments (Docker, Kubernetes)., • Knowledge of SQL/NoSQL databases and basic data pipeline concepts., • Excellent product sense and ability to translate business needs into clean, maintainable solutions.Nice to Have / Bonus Qualifications:, • Experience in AdTech, MarTech, or marketing analytics platforms., • Background in data visualization or interactive analytics using tools like D3.js or Recharts., • Familiarity with AI/ML-driven personalization, A/B testing frameworks, or campaign experimentation systems., • Experience building and maintaining design systems or component libraries., • Familiarity with performance optimization techniques (lazy loading, bundle analysis, caching).Moxxi Values & Competencies:, • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range$150,000—$180,000 USD

Job Description Hi, we're Oscar. We're hiring a Lead Analytics Engineer to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Lead Analytics Engineer drives the definition of the vision for Oscar's unified analytics data foundation, leading this effort from initial buildout through ongoing operation and continuous expansion of domain coverage and platform capabilities. Oscar is consolidating fragmented legacy data transformation systems that support analytics across the organization into a single dimensionally modeled platform in dbt, and building out an enterprise-wide semantic layer to serve all business analytics use cases. This role requires someone who has played a central role in establishing both a dimensional model and a semantic layer at enterprise scale, and who brings the judgment and experience to ensure Oscar gets both right. The Lead Analytics Engineer is accountable for the design and coherence of the overall dimensional model and semantic layer while also contributing as a hands-on builder. Data consistency, shared definitions, and singular sourcing are the foundations of trustworthy analytics, and this role exists to deliver on that principle. You will report into the Associate Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Partner cross-functionally with domain experts and stakeholders to capture business logic and translate it into the unified dimensional model, whether consolidating from existing systems or modeling new domains., • Define the design standards, patterns, and structure of Oscar's unified dimensional model in dbt, ensuring coherence and extensibility as domain coverage expands across the organization., • Lead the design and implementation of an enterprise-wide semantic layer that serves all business analytics use cases with consistent, governed definitions., • Serve as the subject matter expert on dimensional modeling and semantic layer design, guiding the team on best practices and ensuring implementation quality across all business domains., • Lead cross-functional projects to consolidate, scale, and continuously improve Oscar's analytics data transformation solutions, ensuring they meet business needs efficiently and effectively., • Ensure the analytics platform and related systems are administered according to industry standards, internal controls are followed, and processes are aligned with established Data Governance principles., • Ensure data models and semantic layer artifacts are documented and structured to support enterprise data discoverability., • Design and continuously improve data transformations and semantic layer systems with a focus on performance, cost-effectiveness, and stability., • Expand the coverage of data quality checks and enhance monitoring and alerting pipelines to ensure the reliability and accuracy of analytics outputs., • Champion Oscar's culture and values, mentor more junior team members, cultivate a culture of excellence in analytics engineering, and foster continuous skill development., • Use AI to accelerate development, improve quality, and solve problems; enable team members to do the same., • Compliance with all applicable laws and regulations., • Other duties as assigned. Requirements: • Demonstrated experience playing a central role in establishing a dimensional model and a semantic layer at enterprise scale., • 6+ years of experience in Analytics Engineering, Data Engineering, or a related field., • 4+ years of experience working with SQL to transform and model data at scale., • 4+ years of experience building dimensional models using modern data transformation tools such as dbt., • 4+ years of experience designing and implementing semantic layers using enterprise business intelligence platforms such as Tableau, Looker, or Power BI., • Experience in the healthcare and/or insurance industries., • Experience with Google Cloud Platform. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. At Tagup, curiosity isn’t a perk—it’s the job. If you like seeing the whole system, sharing what you know, and learning from sharp teammates, you’ll fit right in. We’re engineers and data scientists on a mission to make the machines and processes that power the world safer, more reliable, and more efficient. Our AI directly controls large-scale industrial equipment and logistics systems, delivering best-in-class performance for our customers. We’re hiring a Cloud/DevOps Engineer to bring an SRE mindset to our platform: automate with IaC, orchestrate with Kubernetes, and tune PostgreSQL-backed services for performance and uptime. You’ll build secure, auditable CI/CD, enforce least-privilege by default, and uphold compliance across distributed, multi-region environments.What You'll Do • Help build and secure infrastructure across AWS, Kubernetes, and other cloud-native services under the guidance of senior engineers., • Support ATO efforts and day-to-day compliance work (e.g., IL4/IL5, CMMC, NIST SP 800-171), preparing evidence and maintaining controls., • Implement Infrastructure as Code with Terraform and related tooling; maintain modules and improve reliability through reviews and testing., • Participate in vulnerability management—triage findings, assist with remediation, and contribute to incident response runbooks and postmortems., • Collaborate with application teams to weave security into CI/CD and the development lifecycle (secrets management, least privilege, policy checks)., • Keep current on security and DevOps best practices, proposing small, iterative improvements to strengthen our defenses and operations.What We're Looking For, • Fluency in Kubernetes and Terraform (EKS in production)., • Hands-on experience with Istio and Gateway API., • Strong background in Python and PostgreSQL., • Familiarity with compliance frameworks—SOC 2, CMMC (Level 1 & 2), NIST SP 800-171, etc., • Experience operating in FedRAMP environments (e.g., IL4, IL5)., • Proven track record identifying and mitigating CVEs., • Experience mitigating CVEs in production systems.SalaryThe estimated salary range for this role is $160,000–$200,000 annually. We align compensation with your experience and impact, and we aim to attract and retain top engineering talent. In addition to salary, every team member receives meaningful equity through our Employee Stock Option Plan. We also offer comprehensive health insurance, access to a 401(k) plan, and a team-oriented culture with regular company outings. Why Join Tagup?Join a mission-first team where your infrastructure work makes industrial systems safer, more reliable, and more efficient—today. At Tagup, our AI controls large-scale equipment and logistics, so you’ll design, automate, and run cloud platforms with IaC, Kubernetes, and PostgreSQL; ship secure, auditable CI/CD; lock down least-privilege by default; and keep compliance tight across multi-region environments. You’ll work shoulder-to-shoulder with platform engineers and data scientists, operate with an SRE mindset, and watch decisions move from plan to production fast—while earning competitive pay, meaningful equity, and building technology that matters. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they’re represented. Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn’t exist two years ago - we were early, and we’re defining it. We’re backed by strong investors, trusted by category-leading customers, and scaling fast. We’re hiring curious, ambitious builders to help shape the future of AI search. We are looking for: We're seeking an exceptional Senior Software Engineer to join our rapidly growing AI Lab. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers and Machine Learning Engineers to design and build scalable, industry-leading AI solutions. You'll do: * Lead the development of our AI platform, focusing on scalability, speed, and user experience. * Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences. * Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections. * Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery. * Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces. * Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform. * Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance. * Maintain and optimize the performance of existing applications. * Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations. You have: * 5+ years of full-stack development experience with a proven track record of building high usage B2B software applications. * Proficiency in React for front-end development, with a strong understanding of how to build responsive, high-performance web applications. * Experience with server-side languages such as Python, Node.js, or Java. * Strong understanding of DevOps practices and experience in software deployment, including CI/CD pipelines, containerization (e.g., Docker), and cloud infrastructure (AWS, Google Cloud, or Azure). * Solid knowledge of database management systems (e.g., MySQL, PostgreSQL, MongoDB). * Experience with RESTful APIs, API integration, and data exchange formats (JSON, XML). * Familiarity with software development best practices, including version control (Git), testing, and continuous integration/deployment (CI/CD). * Excellent problem-solving skills and the ability to debug complex systems. * Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams. * Passion for ad tech and a desire to work in a fast-paced, innovative startup environment. * BS in Computer Science, Engineering, or a relevant field. EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $130,000-$160,000. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie AI team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE:We are looking for a Senior DevOps / Platform Engineer to design and operate the internal platform that enables engineers to ship quickly, safely, and reliably. This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams. A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale. OUR STACK: • Cloud: AWS, • Compute: ECS Fargate, Lambda, Event-Driven Services, • Infrastructure as Code: Terraform, • Languages: Python, TypeScript, Bash, • Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch, • Streaming & Queues: Kinesis, SQS, BullMQ, • CI/CD: GitHub Actions (Enterprise), • Observability: Datadog, AWS CloudWatch, • Architecture: Containerized APIs, Serverless Processing, Distributed Systems, • Designing and maintaining Infrastructure as Code using Terraform to provision and manage AWS infrastructure., • Building and evolving internal developer platforms (IDPs) that establish a golden path. These are opinionated, self-service workflows for deployment, environment provisioning, and operational tooling, so engineers spend less time on undifferentiated infrastructure decisions., • Supporting self-serve developer environments that enable engineers and AI agents to iterate quickly and independently., • Enabling and scaling AI-assisted engineering operations, including access management, adoption visibility, and developer productivity measurement across the team’s AI tooling., • Improving system reliability, scalability, and performance across distributed services and real-time workloads., • Optimizing CI/CD systems to reduce deployment friction and accelerate engineering feedback loops., • Operating production systems with strong ownership of uptime, incident response, and recovery automation., • Partnering with engineering teams to improve service architecture, resiliency, and operational maturity., • Improving cost efficiency and infrastructure utilization across AWS and other infrastructure., • Supporting secure and compliant cloud infrastructure aligned with SOC2 and enterprise security practices., • Participating in on-call rotations. ABOUT YOU: • 4+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles., • Deep experience operating production workloads on AWS., • Strong hands-on experience with Terraform or comparable IaC tooling., • Experience running containerized and serverless systems at scale., • Strong understanding of distributed systems reliability and failure modes., • Experience building CI/CD pipelines and developer automation tooling., • Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry., • Familiarity with incident response, on-call operations, and production debugging., • Working knowledge of networking, IAM, and cloud security best practices., • Comfortable collaborating across engineering teams and influencing technical direction.NICE TO HAVE:, • Experience building or operating Internal Developer Platforms (IDPs) with golden path tooling., • Experience building or managing self-serve developer environments at scale., • Exposure to AI coding tools (e.g., code assistants, agentic coding workflows) and the infrastructure required to support them., • Experience supporting AI/ML or real-time workloads., • Cost optimization and cloud efficiency initiatives., • Exposure to compliance frameworks (SOC2, HIPAA, PCI).BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

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 . What You'll Do: The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company's data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale. We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience. About the role: As a Senior Site Reliability Engineer, you will own the reliability and performance of our Kubernetes-based data platform. You will design and operate highly available, multi-region systems, ensuring our services meet strict uptime and latency targets. Day-to-day, you'll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You'll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one. Who You Are: • 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles, • Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments, • Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions, • Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems, • Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs, • Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry)., • Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning, • Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems, • Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink), • Familiarity with service mesh technologies (e.g., Istio, Linkerd), • Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX, • You love building highly reliable systems that operate at scale, • You're curious about how to continuously improve system resilience, security, and operations At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • 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 $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world's leading enterprises. We're on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren't generic copilots. They're fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we're scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Senior Solutions Engineer Mission You'll join Smartcat's GTM org as a Senior Solutions Engineer, owning technical success across the full customer lifecycle—from pre-sales workflow discovery to implementation, adoption, and expansion. Solutions Engineers drive ARR by delivering measurable outcomes and building AI-powered workflows that accelerate Agent Platform adoption, improve multilingual quality, and maximize long-term value. You'll partner closely with Sales, CX, Product, and Engineering to translate business goals into working solutions (integrations, prompts, and AI agents), lead go-lives, and surface customer insights to influence product direction and roadmap priorities on our biggest customers. Role Overview The Solutions Engineer at Smartcat is a senior, customer-facing technical delivery role responsible for translating business goals into deployed AI-powered localization workflows — and ensuring those workflows drive measurable outcomes. This is not a back-office implementation role. You will own the delivery and success of our largest customers by being their point of contact and trusted advisor. It is a forward-facing, outcome-owning role that requires deep technical fluency, strong execution discipline, and the ability to operate across pre-sales and post-sales. You will: • Lead end-to-end technical execution across the customer journey — from pre-sales discovery and demos through deployment and value realization, • Build AI-powered workflows that improve multilingual content quality, speed, and efficiency, • Own integrations and automation that embed Smartcat into enterprise systems, • Partner cross-functionally to drive adoption, expansion, and long-term success Core Responsibilities 1. Pre-Sales Technical Strategy & Value-Map Ownership You will: • Lead pre-sales technical discovery to understand workflows, systems, and success criteria, • Own the end-to-end technical execution from demos to value generation, • Translate customer requirements into a clear technical solution plan and implementation path through a strategic plan • Build and deploy AI-powered workflows aligned to customer outcomes, • Create, test, and iterate prompts, agent skills, and workflow configurations, • Develop workflows that improve quality, speed, and efficiency in multilingual content creation, • Ensure that translation quality, output, format is aligned with customer expectations • Configure platform integrations and end-to-end processes using APIs, connectors, and middleware, • Lead complex technical integrations with enterprise systems such as CMS, DAM, PIM, and commerce platforms (e.g., AEM, Drupal, SFCC), • Troubleshoot integration and workflow issues with strong technical rigor, • Build custom solutions when necessary to meet customer operational requirements, • Collaborate with the engineering team to identify and implement core platform enhancements that resolve customer obstacles. • Serve as the technical lead for customer deployments from discovery through go-live, • Own validation, testing, and go-live readiness to ensure workflows meet expected quality standards, • Maintain implementation discipline — timelines, milestones, risks, and technical documentation, • Ensure customer solutions are stable, scalable, and operationally successful • Drive post-sale support, enablement, and adoption initiatives, • Help quantify outcomes and value realization over time, • Identify opportunities to expand workflows, departments, and usage based on technical success, • Partner with account teams to validate and support expansion opportunities • Partner with Customer Experience (CX), Product, Engineering, and Account teams to deliver outcomes, • Submit high-quality bug reports and technical feedback to Engineering and Product, • Identify recurring customer needs and workflow gaps to influence roadmap priorities, • Act as a liaison to accelerate customer success through internal alignment • Communicate clearly with both technical and executive stakeholders, • Translate complex technical concepts into actionable recommendations, • Lead technical workshops and implementation sessions, • Support executive-level discussions on outcomes, roadmap alignment, and future workflow opportunities What We're Looking For • BS/MS in engineering, analytics, or a related field with 10+ years in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers, • Experience with REST APIs, GitHub, AI SaaS workflows, enterprise change management, and technical solution design/integrations, • Skilled in troubleshooting complex implementation issues and creating custom solutions with software like LMS, CMS, PIMs, DAMs, • Excellent communication skills with experience presenting to both technical and executive audiences, • Strong negotiation, influencing, and client relationship management skills, • Proven ability to deliver post-sale support, training, and adoption initiatives, • Entrepreneurial mindset with curiosity, problem-solving ability, and collaborative approach, • Willingness to travel up to 40%Why joining Smartcat might be your best move so far

Job Description Fullstack Software Engineer | AI-Native Healthcare Platform Location: New York, NY (In-Person) Experience: 3–7 Years Comp Range: $220,000 - $250,000 + Equity The Opportunity TechStaffers is partnering with a high-growth, venture-backed startup with $4 million in funding that is redefining how healthcare providers handle administrative workflows. This isn't just another SaaS dashboard; they are building an agentic AI platform designed to automate the complex, manual processes inherent in Revenue Cycle Management (RCM). As an early engineer, you will work on the frontier of AI application, building voice AI, browser agents, and generative features that interact directly with human operators. You'll be tasked with taking products from 0-to-1 and scaling them from 1-to-X in a space that is desperate for modernization. What You'll Do • Architect Agentic Workflows: Partner directly with customers to prototype and productize end-to-end solutions using LLMs, voice AI, and browser automation., • Fullstack Ownership: While slightly backend-leaning, you will build the React/Next.js interfaces and the robust Python backends that power these autonomous agents., • Customer-Centric Engineering: Develop deep domain expertise in healthcare billing to make high-level product decisions and empathize with the end-user., • Bridge AI and UX: Solve the unique challenge of how humans and AI agents interact within a seamless software environment. The Tech Stack • Backend: Python (Primary), • Frontend: React, Next.js, TypeScript, • Infrastructure: AWS Who You Are We are looking for a high-agency engineer who thrives in the "controlled chaos" of a high-growth startup environment. Required Qualifications: • Startup Pedigree: 3–7 years of experience, specifically at high-growth, high-caliber startups (e.g., the early days of Stripe, Samsara, or similar)., • Fullstack Proficiency: Strong Python skills with solid experience in React and Next.js. You should be comfortable leaning into the backend but capable of shipping polished UI., • Proof of Excellence: You have a track record of high achievement (e.g., Neo Scholar, experience at a top-tier firm, or a degree from a top 30 university)., • Zero-to-One Experience: You have a history of building and launching products from scratch., • Industry Interest: A genuine excitement to solve "unsexy" but high-impact problems in healthcare billing. TechStaffers is a technical recruiting company partnering with VC-funded start-ups across the United States. More information at .

Job DescriptionBelvedere Trading is a leading proprietary trading firm with offices in Chicago, New York, Boulder, and Singapore. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. We operate best within a team environment where we challenge each other to deliver value consistently and share in the success of the company. Riverside Capital Markets (RCM) is a joint venture between our five founding partners and Belvedere Trading. Our teams specialize in Market Making and Quantitative Trading in Equity & ETF Options, ETFs, Futures and Futures Options. We have teams based in New York, Chicago and remote locations that utilize both internal and external software solutions for trading. We look for savvy individuals and teams who are looking to help build great businesses in the trading landscape. Our team is seeking a Software Engineer to help design, build, and support high‑performance trading systems. This role is ideal for engineers early in their careers who want meaningful ownership, exposure to complex technical problems, and the opportunity to work closely with quantitative traders and experienced engineers in a fast‑paced environment. You will contribute across the full software development lifecycle while developing systems that are reliable, performant, and aligned with business objectives. We’re looking for engineers who are intellectually curious and motivated to continually evolve and develop. What You'll Do • Design, develop, and enhance scalable, extensible applications that support real‑time trading across multiple asset classes, • Implement, test, deploy, and maintain performance‑critical systems with a focus on reliability and correctness, • Troubleshoot and support production applications in time‑sensitive environments, • Collaborate with engineers, quantitative researchers, and project stakeholders to translate business requirements into technical solutions, • Write clean, maintainable, and well‑tested code that meets high quality standards, • Analyze and solve complex technical problems, balancing performance, readability, and extensibility, • Participate in code reviews and apply best practices in software design and development, • Continuously learn about trading systems, markets, and new technologies through hands‑on work and team knowledge sharing What You'll Need, • 1–3 years of professional software development experience (or equivalent internships, co‑ops, or applied project work), • Experience across multiple phases of the software development lifecycle, including design, implementation, testing, and support, • Strong foundation in computer science fundamentals such as data structures, algorithms, and object‑oriented design, • Experience building performant, reliable, or highly available systems (academic, professional, or personal projects), • Ability to reason about trade‑offs and choose appropriate tools or approaches for a given problem, • A strong sense of ownership and accountability for the systems you help build, • Clear written and verbal communication skills and the ability to collaborate effectively in a team environment

Job DescriptionApplied AI Engineer (AI-Native Marketplace) Location: New York City (on-site, relocation supported) Compensation: USD 170,000 – 230,000 + Equity Hiring: Up to 2 engineers Company: Confidential (represented by Worthland) About the Project Our client is a well-funded, AI-native startup building a real production marketplace in a space that has historically relied on manual workflows and human judgment. The company has achieved clear product–market fit, is growing rapidly with a lean team, and uses AI not as an add-on but as the core decision engine of the business. Their systems directly impact matching quality, speed, and operational efficiency at scale. This is a hands-on role for builders who want to ship AI systems that operate in messy, real-world conditions and materially move business metrics. The Role As an Applied AI Engineer, you will own end-to-end AI systems powering the marketplace: scoring, matching, ranking, recommendations, and internal automation. You will work directly with the founder and operations team. There is no separate ML platform team—you own the full loop, from problem definition through production iteration. This is not a research role and not an infra-only ML position. It is a product-focused, applied AI builder role. Role Split (Approximate) * ~60% Applied AI / ML: model selection, prompting, fine-tuning, evaluation, experimentation * ~40% Product & Engineering: backend services, APIs, data pipelines, product integration First 30 Days (What Success Looks Like) Week 1 * Develop a deep understanding of existing AI systems (scoring, matching, automation) * Identify where models perform well vs. where they fail in production * Partner with the ops team to understand manual overrides and edge cases * Align with the founder on the highest-leverage problems to solve first Weeks 2–4 * Ship meaningful improvements to scoring/matching models and related product features * Begin reducing manual ops load through smarter automation * Take ownership of the AI roadmap, using the founder as a thought partner—not a project manager Key ResponsibilitiesApplied AI & Decision Systems * Build and improve matching, scoring, and ranking systems that directly affect marketplace outcomes * Design explainable and calibratable AI outputs so users can understand and trust decisions * Compare new inputs against historical outcomes to surface meaningful signal * Iterate based on real-world feedback, not just offline metrics Automation & Internal Systems * Replace manual review steps with intelligent AI-driven workflows * Build feedback loops where human overrides improve model performance over time * Identify and surface stuck or anomalous cases requiring human attention Product-Facing AI Features * Generate structured summaries from unstructured data (documents, notes, transcripts) * Build retrieval-based assistants and role-specific AI tools * Ship features that are user-facing, measurable, and tightly integrated into the product Experimentation & Evaluation * Design evaluation frameworks that reflect real business impact, not just model accuracy * Implement experimentation and A/B testing to validate improvements * Make pragmatic tradeoffs (prompt vs. fine-tune, off-the-shelf vs. custom) RequirementsMust-Have * 4+ years of engineering experience with AI/LLM features shipped to production * Experience owning AI systems end-to-end in a real product environment * Hands-on experience with LLM APIs, embeddings, vector databases, and evaluation * Strong backend or full-stack engineering fundamentals * Comfort working with imperfect data and evolving requirements Strong Plus * Experience at an AI-native startup or as a founding / early engineer * Background in recommendation systems, matching, search, or automation * Product intuition and comfort making fast, high-impact decisions * Willingness to be hands-on rather than operating through layers of abstraction Not a Fit If You Primarily: * Work only on ML platforms or infrastructure without owning product features * Focus on research, publishing, or offline experimentation * Require clean datasets and mature infra before shipping * Have only built basic RAG demos as your main AI experience * Prefer large, highly structured organizations Why This Role * High ownership and direct impact on core business metrics * Close collaboration with the founder and decision-makers * AI-first product where models are central, not decorative * Competitive compensation, meaningful equity, and long-term upside Interview Process * Intro Call (30 minutes): High-level screening to assess role fit, hands-on AI experience, and mutual interest in the opportunity and company stage. * Technical Interview (60 minutes): Applied system design discussion focused on a real-world AI problem (e.g. matching, ranking, automation), evaluating practical decision-making and tradeoffs. * Behavioral Deep Dive (60 minutes): Review of past experiences, ownership mindset, and working style in high-autonomy, fast-moving environments. * On-Site (Full Day): Collaborative working session solving real problems with the team to assess technical depth, problem-solving approach, and collaboration in practice.

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 You'll Do: Join CoreWeave's Observability team, where we are building the next-generation insights layer for AI systems. Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights. About the role: As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer. You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways. Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure. Who You Are: • 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs., • Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs., • Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and multi-tenant system resilience., • Familiar with observability systems such as ClickHouse, Loki, VictoriaMetrics, Prometheus, and Grafana., • Experienced in agentic applications or LLM-based features, including grounding, tool calling, and operational safety., • Comfortable writing production code primarily in Go, with the ability to integrate Python components when needed., • Collaborative experience in agile teams delivering end-to-end telemetry-to-insights pipelines.Preferred:, • Experience operating Kubernetes clusters at scale, especially for AI workloads., • Hands-on experience with logging, tracing, and metrics platforms in production, with deep knowledge of cardinality, indexing, and query optimization., • Experienced in running distributed systems or API services at cloud scale, including event streaming and data pipeline management., • Familiarity with LLM frameworks, MCP, and agentic tooling (e.g., Langchain, AgentCore).Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk., • You love transforming complex telemetry into actionable insights., • You're curious about agentic interfaces and the future of AI observability. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • 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 $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionWho We Are: Same Seats. Better Prices. Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition. For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000's and Crain's New York Business' Fast 50. If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry. Who You Are: As a Senior Software Engineer, you excel in solving technical challenges both independently and as part of a small, senior team. You have proven experience building and shipping across the full stack — API, web, and mobile — and AI agents make it practical to go deep in areas that aren't your primary strength. You have experience in driving, executing, and delivering high quality solutions. You are fluent in working with AI coding agents — not as a novelty, but as a core part of how you build software. You're comfortable orchestrating multiple agents to tackle complex problems, creating agentic feedback loops that improve code quality and velocity, and discovering ways to automate tedious, repetitive tasks so the team can focus on higher-impact work. You are comfortable working in ambiguously defined problem spaces, and you are a curious and creative problem solver who multiplies their output through smart use of AI tooling, delivering tangible results. What You'll Do: • Own entire systems end-to-end — from database schema to API to production deploy, • Work across the entire stack — .NET APIs, React/Next.js web, React Native mobile — using AI agents to close knowledge gaps and move confidently in unfamiliar territory, • Orchestrate AI coding agents to accelerate development, code review, and research across the codebase, • Build and refine agentic workflows — automated testing loops, code review pipelines, and intelligent monitoring that reduce manual overhead, • Optimize performance of our APIs, making them scalable, • Create integrations to third party providers (e.g. fintech, ticket brokers, primary marketplaces) in order to offer more services to our users, • Design and develop new APIs for upcoming features, • Explore ways to make the user experience more personalized (event notifications, recommendations, pricing alerts, etc.), • Identify repetitive engineering tasks and build automation to eliminate them — freeing the team to focus on what moves the business forward, • Use data to help drive decisions in our business logic Tools You'll Use: • Languages: C#/.NET, TypeScript/Node.js, React/React Native, • Datastores: Azure SQL, Azure Service Bus, Azure Storage, Azure Cosmos DB, • AI: Claude Code, Codex, and other coding agents as part of daily workflow, • IDE: Visual Studio, VSCode, Cursor, • Infrastructure: Azure Cloud Platform (App Service, Functions, Service Bus) What Sets You Apart: • You've built or contributed to agentic workflows — automated pipelines where AI agents handle code generation, review, testing, or deployment with human oversight, • You have a track record of identifying tedious, complex processes and automating them away, • You've worked on marketplaces, e-commerce, or systems where inventory accuracy and transaction integrity matter, • You're comfortable working autonomously in a small team where there's no PM writing detailed specs for every task, • You've dealt with third-party API integrations that are messy, underdocumented, or unreliable Diversity at TickPick: At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization's culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status or any other category protected by law. Requirements • 5+ years of professional software engineering experience, • Strong in at least one of C#/.NET, TypeScript/Node.js, or React/React Native — and willing to work across all of them. AI agents make full-stack contribution realistic even where you're not an expert., • Experience with relational databases (SQL Server, PostgreSQL) — you can write and optimize queries, not just use an ORM, • You actively use AI coding agents in your development workflow and can articulate when they accelerate work vs. when they don't, • You've shipped and maintained production systems that handle real traffic and real money, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Development, • Employee Outings, • Free Lunch & Snacks

Job DescriptionAbout Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Role Overview As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services. This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions. Key Responsibilities • Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives., • Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems., • Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs., • Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate., • Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team., • Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders., • Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations., • Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability., • Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.Success in This Role Looks Like, • Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)., • Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows., • Deliveries are production-ready: monitored, testable, documented, and maintainable.Required Qualifications, • 3–8 years of software or AI engineering experience (mid-to-senior)., • 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)., • Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)., • Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices., • Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations., • Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch., • Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)., • Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.Preferred Qualifications, • Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)., • Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management., • Experience with graph databases / knowledge graphs., • Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness). 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Job Description Forhyre is seeking a talented individual that will be able to provide security architecture support and interface across the program as needed. This support includes, but is not limited to, cybersecurity solutions, providing technical strategy for solutions, guidance, policy, and implementations. The successful candidate for this position is a highly motivated individual, with a strong IT security background who excels integrating, operating, and deploying security technology and solutions and interacts well with both internal teams and clients. Note: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Responsibilities: • Engineer, implement and monitor security measures for the protection of computer systems, networks and information, • Develop and implement security policies and controls to support the Cyber Security framework, • Manage the existing cyber security training program across global, multilingual business, • Assists in ensuring global Information security program meets all industry regulations, standards, and compliance requirements, • Drive adoption of infrastructure security best practices and work with Information Technology teams to ensure security standards are maintained, • Implement technology to proactively scan Information Technology environment for security breaches and suspicious activity, • Continuous improvement in the areas of Information Security technologies, techniques and processes, • Develops and maintains an effective system for the distribution of regular key performance indicator reports and dashboard, • Ability to interpret penetration test results and describe issues and fixes to non-security expert, • Responsible for leading an accurate & comprehensive status reporting to the executive steering committee, • Create and implement SOP/ process improvement initiatives to achieve outcomes that align or exceed the expectations of strategic roadmap Skills & Experience • 8+ years hands-on experience designing or implementing security solutions, including all related documentation and artifacts, • Analytical ability, problem-solving skills, and ability to break down complex problems into actionable steps, • Extensive experience in design and development of enterprise security architectures. Experience must include a wide range of work in creating diagrams and documentation with all components that comprise IT systems including network topology., • Strong knowledge and experience in secure enterprise architecture design, especially with regard to IAM, NDR, EDR, SIEM, AI/ML, and other cybersecurity tools and resultant applications, • Experience selecting effective methods, techniques, and evaluation criteria to achieve desired outcomes, • Previous experience developing architectures, strategies, strategic plans, roadmaps, and technical standards for the federal IT enterprise environment., • Vulnerability Assessment testing and/or Penetration Testing (preferred), • Robotic Process Automation/Intelligent Automation (preferred), • Business case development supporting security technology solutions (preferred), • Additional certifications demonstrating cybersecurity/technical mastery (preferred)

Job DescriptionForward Deployed Engineer — CollectWise (YC) Location: New York City, NY (In-person/Hybrid) Base Salary: $200,000–$300,000 Equity: 0.25%–1% Visa: Open to Canadian candidates requiring sponsorship About CollectWise CollectWise is a Y Combinator-backed AI company automating debt collection, a $35B market in the United States. Their AI agents outperform human collectors by 2X at a fraction of the cost. Team of three, scaled to $1M ARR within months, raised $4M at a $60M valuation, and reached $2M ARR in under a year. Goal: $10M ARR within the next year. Role Overview High-ownership, forward-deployed engineering role focused on delivering end-to-end customer implementations. You will operate at the intersection of engineering and operations, building integrations and deploying AI systems directly into production environments. Core Responsibilities • Build and maintain custom integrations with client systems, • Configure and deploy AI agents including prompts, workflows, and data pipelines, • Develop backend systems to support client implementations, • Translate customer requirements into clear technical specifications, • Build internal tools to improve deployment speed and repeatability, • Work directly with the founder and customers on implementationRequirements, • Strong full-stack engineering background in JavaScript or TypeScript, • Experience shipping production products in startup environments or through meaningful independent projects, • Strong communication skills and ability to work directly with customers, • Ability to operate independently and execute quickly in ambiguous environmentsNice to Have, • Experience with Node.js, React, AWS, SQL, and LLM-based systems, • Background from a top university, • Experience in investment banking or consulting transitioning into engineering

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the role Our iOS team owns end-to-end product experiences for creative workflows—pushing the boundaries of the iOS ecosystem by building sophisticated creative tools that span delightful user interfaces, graphics rendering, and audio/video processing. As a small, collaborative team, our product engineers are trusted with a high degree of ownership and agency. Responsibilities * Push the boundaries of iOS and build products that shape the future of video software * Collaborate with designers and the broader team to conceptualize and ship incredible experiences directly to users * Operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end * Instrument, A/B, and iterate rapidly with production data What makes you a great fit * 2+ years of professional industry experience * A track record of shipping high‑impact, native mobile products in production * Excellent engineering taste combined with a strong sense of practicality and time-management * Experience with (ideally a few) SwiftUI, Combine, RxSwift, ReactiveSwift, AVFoundation, Core Animation, and Realm * Strong understanding of computer science fundamentals (algorithms and data structures). Even better if… * You have experience with OpenGL or Metal * You are grounded, collaborative, and willing to do whatever it takes to help the team win * You have been a startup founder or an early engineer at one Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job DescriptionCloud and Storage Engineer Employment Type: Full-Time, Experienced Department: Information technology CGS is seeking a Cloud and Storage Engineer to develop and implement full-scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in support of a large federal agency. The ideal candidate will be able to excel in a fast-paced environment and successfully produce standards and implementation processes for storage configuration, optimization, replication, and storage security. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Develops and implements full scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in a multi-enterprise, complex, geographically dispersed solution; ranging from single servers to multi-tier, multi-platform solutions connected through fiber channel to multiple EMC Storage Arrays with petabytes of storage capacity. - The SAN architecture considers the following aspects relating to SAN: performance, capacity, replication, disaster recovery, backup disk storage, and backup & recovery.- Defines and sets a strategic direction for the SAN and backup environment. - Designs and implements customer storage requirements into an enterprise solution that will be developed, installed, configured, and deployed in the environment. - Provides overall storage and backup capacity planning, and utilization reporting. - Produces standards and implementation processes for storage configuration, optimization, replication, virtualization, storage security, and disaster recovery.- Troubleshoots complex SAN infrastructure issues and works with customers both internal and external to effectively resolve issues.- Reviews, plans, and participates in executing regularly scheduled maintenances and/or projects on the storage infrastructure. - Develops technical documentation, tiered storage and storage-as-a-service roadmaps, presentations, and cost models.- Responsible for managing, maintaining, and developing the SAN infrastructure as part of a team to ensure 24/7/365 uptime. - Architects and maintains private cloud environment. Professional experience with Gov Cloud (AWS, Azure, etc.) and hybrid cloud architectures desired. - Performs security related tasks which include, but are not limited to, documentation, vulnerability scan review, assessment support, patch management, and auditing as required. Qualifications:- Bachelor’s in computer science, business, or other relevant discipline.- Eight (8) years of relevant work experience may be substituted for degree requirement.- Must have significant, direct experience in Dell EMC products such as OneFile System (OneFS), MDS SAN switches, storage arrays (Unity, Isilon, VNS, and Data Domain), and RecoverPoint. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 Full Stack Software Engineer, you will improve and expand CVector's web applications, back-end data-flow, and industrial gateways. Your work will deliver robust, intuitive user experiences, including real-time data visualization, adaptable to diverse environments such as power generation stations and chemical plants. This role requires a passion for shipping high-quality, user-centered products. You should possess a startup mentality, meaning the ability to rapidly acquire new skills and comfortably contribute across the entire software stack. You will collaborate closely with the engineering team and have opportunities to take initiative and leadership in various projects. Responsibilities As a Full Stack Software Engineer, you will drive CVector's SaaS product forward by fulfilling the following responsibilities: • Collaborate with the engineering team to design, implement, and deploy features and bug fixes across the full software stack, • Develop real-time data visualization tools and dashboard builder, • Ensure high quality through the development and maintenance of automated unit, integration, and end-to-end tests, • Participate in an on-call rotation to support system reliability, • Actively pursue opportunities for professional growth and skill enhancement Our software stack includes Python, Typescript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, hosted on AWS and managed with GitHub. You will use and develop expertise with these technologies. The successful candidate for Full Stack Software Engineer will possess the following traits and qualifications: • Relevant engineering degree(s) or equivalent professional experience demonstrating a strong foundation in computer science, • Experience developing software with Python and/or Typescript, • Familiarity with modern web frameworks, databases, cloud infrastructure, and real-time data visualization libraries, • Strong communication and collaboration skills 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 The anticipated base salary range for this role is $105,000 to $115,000.

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring for an experienced, driven Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets. Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility. Key Responsibilities • Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters., • Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases., • Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems., • Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust., • Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Solidity Expertise: 3+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection., • Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths., • DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols., • Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits., • Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns., • SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages. Preferred / Desirable Experience • Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm)., • Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants., • Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved., • RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems., • Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description At Palona, the Forward Deployed Engineer is a new kind of builder—born from the era of adaptive, multimodal AI systems. This role sits at the intersection of engineering, customer partnership, and real-world operations. You’ll work directly with operators in one of the most dynamic industries in the world and help guide AI agents that learn and evolve alongside them. If you’re the type of person who loves both systems and people, who’s energized by real-world complexity, and who wants your work to have immediate impact in live environments, this is your path. Responsibilities As a Forward Deployed Engineer, you’ll be the connective tissue between our product, our customers, and the AI agents we deploy into the field. You will: • Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior., • Scope, design, and deploy adaptive AI agents that evolve with the customer’s environment—not static models, but living systems that improve through interaction., • Build and integrate production-ready applications that connect Palona’s AI platform to customer infrastructure., • Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems., • Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements., • Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments. Requirements Required • Strong full-stack development skills (Python, JavaScript, or similar), • Experience in customer-facing or client delivery roles, • Ability to thrive in fast-moving, resource-constrained, startup-style environments, • Fast learner capable of adapting to new tools, domains, and requirements, • High ownership mindset with the ability to work independently and follow problems end-to-end, • Excellent communication with technical and non-technical stakeholdersPreferred, • Deploying LLMs, multimodal models, or generative AI systems, • Background in NLP, computer vision, or multi-agent systems, • Sales engineering, pre-sales, or customer success engineering in high-growth environments, • Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.), • Curiosity and empathy to explore both the technology and hospitality, • Technical fluency to diagnose, build, and refine systems, • Clear communication across both technical and non-technical teams, • Adaptability in environments where requirements shift weekly, • Ownership to take problems from discovery to deployment

Job DescriptionFull-Stack Software Engineer — Kobalt Labs Location: New York City, NY (Onsite) | Compensation: $240,000 – $270,000 | Equity: 0.5% – 1% About Kobalt Labs Kobalt Labs is a Series A AI startup operating in fintech and compliance, scaling rapidly from $1M to $2M ARR in under two months. The team is extremely small and high caliber, with engineers from Meta, Affirm, and prior founding CTO backgrounds. The culture is flat, fast-moving, and product-driven, with engineers directly interacting with customers and owning roadmap decisions. The Role This is a staff-level full-stack role with near-founder level ownership. Engineers are expected to operate across product, infrastructure, and customer interaction, building systems that are both scalable and actively used. There are multiple focus areas within the role: • Vendor Risk Management (frontend-leaning): Own and build the frontend experience using React and Next.js for compliance workflows, • Marketing Compliance (backend-leaning): Own backend systems including APIs, pipelines, and infrastructure using Python and FastAPI, • Marketing Compliance (ML focus): Build models, evaluation frameworks, and AI pipelines powering automated compliance systemsWhat You'll Do, • Build and ship full-stack features across Python, FastAPI, React, and Next.js, • Work directly with customers weekly, translating feedback into scalable product improvements, • Drive roadmap decisions based on product vision and customer insight, • Design systems that are scalable, extensible, and production-ready, • Contribute to architecture and technical direction alongside founding team, • Lead expansion into new product areas as the company growsWhat We're Looking For, • 4 to 7 years of full-stack engineering experience with staff-level thinking, • Strong backend experience with Python and FastAPI, • Strong frontend experience with React and Next.js, • Proven experience building products that are actively used in production, • Infrastructure or systems-level thinking across full-stack environments, • Comfort working with modern AI tools and workflows, • High ownership and ability to operate without structure, • Ability to work directly with customers and extract meaningful product signals

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $10M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Own the candidate journey from discovery to close, eliminating administrative friction and ensuring a world-class experience for every hire. * Create automated workflows that scale our reach while maintaining the level of personal touch required to attract talent. * Build a system to identify and engage candidates by treating the recruiting funnel with the same level of rigor as a sales or product pipeline. * Establish the narrative that attracts exceptional people to Clarion and ensures we are the first choice for the most ambitious candidates. Requirements * 2-4+ years in talent acquisition in high-growth SaaS or early-stage startups. You have a track record of identifying and landing high-caliber technical talent. * A clear, compelling communicator who can translate Clarion’s mission into a narrative that resonates with the most ambitious candidates. * Comfortable in fast-paced, unstructured environments. You are proactive about identifying process bottlenecks and solving them before they scale. * Ability to manage complex hiring projects from start to finish, coordinating across multiple teams with high precision. * Excited to work in-person at our NYC office. You are a good fit if * You believe the best companies are won or lost on talent density and speed of hiring. * You view hiring as a discipline that requires persistent optimization and modern tooling. * You’re highly organized and can balance multiple roles while maintaining a clear view of company priorities. * You move faster than the competition and understand that speed is a competitive advantage in talent acquisition. * You thrive in a fast-paced environment and want to shape the foundational culture of a company from day one. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your recruiting experience, how you've built pipelines for hard-to-fill roles, and your approach to creating hiring processes that scale. * Team Day (Half-day) [In-Person]: Visit our New York office to meet our team. You'll work through a recruiting challenge, showing your strategic thinking and operational rigor. You'll also get a sense of our company culture and working environment. If you're ready to build the talent engine that will transform healthcare communication, we’d love to hear from you. Compensation Range: $100K - $150K

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role Voice Telecommunication is a critical channel for accounts receivable. Customers pick up the phone. Agents need to call. Transfers need to work. Voicemails need to land. We are building AI agents that do real work across collections, cash application, disputes, customer communications and the phone is where much of that work happens. We're hiring a Lead Voice Infrastructure Engineer to build the foundation for AI-driven voice at Stuut. You'll work closely with our engineering, product, and go-to-market teams to design and operate the voice infrastructure that powers production phone interactions at scale. This role sits at the intersection of telephony infrastructure, realtime voice systems, AI voice agents, and finance workflows. We are looking for someone who has real depth in telephony, can build distributed systems that hold up under production pressure, and understands that infrastructure decisions shape product outcomes. You will own the systems that determine whether calls connect, transfers complete, and business results get measured. This is the first dedicated voice infrastructure hire at Stuut. You will define how we build this. What You’ll Do * Design, build, and operate telephony services that manage phone numbers, SIP trunks, carrier integrations, and call routing at scale * Develop reliable signaling and media systems that bridge traditional telephony with realtime voice infrastructure and AI pipelines * Build and improve core voice workflows: outbound calling, inbound routing, warm transfer, voicemail handling, DTMF interaction, and human handoff * Work closely with speech and AI systems across STT, TTS, turn-taking, interruption handling, and agent orchestration * Improve call quality, latency, reliability, and debuggability across the voice stack * Build internal APIs and platform primitives that make voice capabilities accessible to product and engineering teams * Instrument voice workflows so we can measure business outcomes: answer rates, transfer success, voicemail outcomes, and resolution rates * Work with carriers and external vendors to expand coverage, improve routing performance, and handle regulatory or operational requirements * Dive into production issues when needed, including packet captures, signaling traces, vendor debugging, and incident response You Might Be a Fit If You… * Are a strong senior software engineer with experience building distributed backend systems * Have meaningful experience with telephony systems: SIP, RTP, PSTN connectivity, trunks, number provisioning, or call routing * Are comfortable working on realtime media systems where latency, reliability, and observability matter * Can debug across layers, from APIs and backend services down to protocols, signaling flows, and packet-level issues * Think beyond code and understand how infrastructure decisions affect product behavior, developer experience, and end-user trust * Are pragmatic, hands-on, and able to move between architecture and direct execution * Have experience with WebRTC, realtime media platforms, or speech systems (streaming STT, TTS, turn detection, conversational voice agents) * Have worked with contact center workflows, IVR systems, or enterprise telephony integrations * Have experience with Go, Python, C, or C++ * Are excited about building the infrastructure that will define AI-powered business communication over the next decade Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $185K - $250K

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We're Looking For: As a Staff Data Engineer at Datavant, you will lead the design and build of our next-generation patient data platform, developing the distributed data systems and platform capabilities that power secure, scalable, and intelligent use of data across a multi-tenant, multi-cloud environment. This is a hands-on technical leadership role for a software-oriented data engineer who combines strong architectural judgment with deep implementation expertise. You will define how complex data is processed, validated, and served—supporting analytics, product, and AI-driven use cases in a regulated environment. What You Will Do: • Lead the architecture and development of core data platform capabilities, including processing frameworks, storage patterns, and shared services, • Design and implement multi-tenant, multi-cloud data systems with strong isolation, scalability, and operational durability, • Build and operate large-scale distributed data processing systems across batch and real-time workloads, • Define and evolve data lifecycle patterns, including ingestion, validation, transformation, enrichment, and serving, • Establish data quality gates and validation frameworks to ensure trust, consistency, and auditability, • Design systems that integrate with platform infrastructure, including CI/CD, deployment orchestration, observability, and infrastructure automation, • Make sound architectural decisions across performance, cost, reliability, and maintainability tradeoffs, • Lead ambiguous, high-impact initiatives where both problem definition and solution design require ownership, • Contribute significantly to production code, setting standards for quality, testing, and operabilityTechnical Experience:, • Strong candidates will have experience with several of the following:, • Distributed data processing frameworks (e.g., Spark, Flink, or similar), • Cloud data platforms (e.g., Databricks, Snowflake, or equivalent), • Data transformation and modeling frameworks (dbt or equivalent), • Workflow orchestration systems (e.g., Airflow or similar), • Streaming and event-driven systems (e.g., Kafka or equivalent), • Infrastructure-as-code (e.g., Terraform), • 10+ years of experience building data-intensive or distributed systems, with a strong software engineering foundation, • Proven experience designing and operating large-scale data platforms in production, • Deep expertise in distributed data processing systems (e.g., Spark or similar big data technologies), • Strong software engineering fundamentals, including system design, testing, CI/CD, and production debugging, • Experience building systems in cloud environments (AWS preferred), including storage, compute, and security patterns, • Experience designing multi-tenant systems, with a focus on isolation, scalability, and reliability, • Strong understanding of data modeling, pipeline design, and data quality enforcement, • Ability to navigate ambiguity, evaluate tradeoffs, and drive durable technical decisions, • Experience building data systems that support AI-driven use cases, including:, • low-latency data access patterns, • feature generation and ML data pipelines, • iterative, feedback-driven data workflows, • Familiarity with agentic or AI-assisted coding tools, and the ability to leverage them to improve development velocity and code quality, • Comfort operating in environments where AI augments both system design and development workflows, • Experience in regulated environments (e.g., healthcare, finance), • Familiarity with interoperability standards (e.g., FHIR, HL7, or similar) At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$190,000—$230,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring for a motivated Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets. Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility. Key Responsibilities • Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters., • Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases., • Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems., • Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust., • Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Solidity Expertise: 1+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection., • Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths., • DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols., • Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits., • Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns., • SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages. Preferred / Desirable Experience • Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm)., • Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants., • Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved., • RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems., • Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job DescriptionAbout the Company Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home. We’re partnered with leading national players in the residential homeownership space - from mortgage lenders to home services providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners. Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home. About the Role We’re looking for a QA Engineer to ensure the reliability and quality of the Made Card and homeowner platform. You’ll work closely with engineers, product managers, and designers to identify test requirements, develop automated and manual test cases, and track issues through resolution. This is a role for someone who loves digging into edge cases, is detail-oriented, and wants to help build a strong QA foundation in a growing engineering team. What You’ll Do * Test Planning: Define and execute test plans and cases to validate product features. * Manual & Automated Testing: Conduct testing across frontend (Flutter) and backend (Python/Postgres/DynamoDB/Redis) systems. * Automation: Develop and maintain automated test scripts using frameworks such as Selenium, Cypress, or Playwright. * API Testing: Use tools like Postman or RestAssured to validate backend services. * Bug Tracking: Identify, document, and track defects through to resolution in issue tracking systems. * Regression Testing: Support regression testing for new releases and maintain backward compatibility. * CI/CD Collaboration: Work with engineers to integrate tests into CI/CD pipelines (Kubernetes/Docker/AWS). * Continuous Improvement: Contribute to QA best practices and improve test coverage across the stack. Ideal Background * 3–5+ years of experience in software quality assurance. * Experience writing and executing test cases, and producing detailed bug reports. * Proficiency with test automation tools (Selenium, Cypress, Playwright). * Familiarity with API testing (Postman, RestAssured, or similar). * Understanding of QA methodologies, regression testing, and best practices. * Exposure to CI/CD pipelines and automated testing workflows. * Strong collaboration and communication skills. We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you! Nice to Have * Experience in fintech, credit cards, or other regulated industries. * Exposure to performance or load testing tools. * Familiarity with mobile test automation frameworks (Appium or similar). * Previous experience in early-stage startups building QA processes. Why Join Made Now You’ll be an early QA engineer helping build and scale quality assurance practices for a fintech platform serving millions of homeowners. This is a chance to be hands-on with testing while helping define the QA culture and processes for the company. Benefits * Base Compensation Band: $70,000–$100,000 (determined by experience, qualifications, and location) * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow Together: Company-wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners * Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous Time Off: Flexible paid time off, sick days, and 11 company holidays Throughout the interview process, please remember that emails will only be from madecard.com emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach. Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $70K - $100K

Job Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints., • End-to-end Ownership: take a feature from ideation or debug to customer release, with clear requirements, testing and cross-functional contributions, • Problem Definition: Triage the current state of each assigned feature — clearly define the problem through test data analysis and determine whether design changes, debug and/or improvements are necessary, • Requirements: Write detailed, testable feature requirements with well-defined acceptance criteria for testing to ensure the implemented feature meets both internal and customer expectations. Decompose requirements to subsystem levels to inform required component performance., • Data Analysis: Create and run your own data analyses in Python/SQL as needed; synthesize findings from other team members. Dig into production data from stores to understand how features are performing in the field, • Timeline and Plan: Create and execute a plan for feature problem resolution and release. Communicate the plan with scope and timing to engineering and product leadership ABOUT YOURequired:, • You have a B.S. in Engineering or any equivalent technical discipline, • 3 - 5 years of experience working on integrated hardware and software products, • You have strong problem solving and communication skills, • You are proficient with Python, • You have strong leadership skills - you can translate between engineering disciplines and align stakeholders with different technical backgrounds or opinions, • You enjoy both diving into the details of a problem and also understanding the high level context around it, • You have experience writing system requirements, test plans, or feature specs that guide cross-functional engineering team implementation, • You are comfortable operating autonomously in ambiguity, • You have experience working across hardware and software disciplines, • You maintain an entrepreneurial spirit with a general attitude of "figure it out" when faced with a difficult problem of any type WHAT YOU'LL DOIn your first 30 days, you will:, • Learn Radar's mission, technology stack and core values., • Complete onboarding and security compliance training., • Familiarize yourself with Radar's system architecture, especially as it relates to your key feature(s)In your first 60 days, you will:, • Dive into the current status of the feature to understand where the gaps or potential failure modes exist., • Create a plan mapping out all required work and identifying key blockers for success. Develop relationships with key contributors and stakeholders for the scoped work, • Familiarize yourself with Radar's tools and testing capabilities - understand existing test setups and data infrastructure, with capabilities to analyze relevant data as needed.In your first 90 days, you will:, • Understand the full scope of your assigned feature, with a plan for maintaining high quality through the upcoming release cycle, • Lead a standing weekly cross-functional feature meeting where feature design, implementation, and test are planned and reviewed Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer to lead the design and implementation of our foundational incentive and rewards platform. In this role, you will act as a strong steward of our backend systems, building the core infrastructure that connects real-world vision signals with personalized member experiences. You are an expert-level engineer who can explain complex business and technical requirements, mentoring others while driving large-scope projects to completion. You thrive on high-growth challenges and are eager to build high-quality, scalable systems that bridge digital engagement with physical arrivals. What you'll do • Design and implement the backend services that power the Metropolis incentive and rewards infrastructure, • Build real-time event streaming architectures to process and react to high-frequency signals from the physical world, • Develop scalable compliance and preference management services to ensure cross-vertical message delivery integrity, • Architect intelligent decisioning frameworks that evaluate user context and profiles to deliver personalized experiences, • Create robust service architectures to manage product eligibility, partner configurations, and budget constraints, • Implement comprehensive attribution and measurement systems to quantify user engagement and campaign efficacy, • Scale and maintain multi-modal identity systems that bridge digital tokens with real-world identifiers, • Collaborate with cross-functional teams in Product, Marketing, and Data to define the long-term technical roadmap, • Mentor team members and lead technical discussions to drive continuous improvement of the engineering platform, • Drive the full software development lifecycle from initial conceptualization through to production deploymentWhat we're looking for, • 6+ years of software engineering experience, • BS or MS in Computer Science or equivalent work experience, • Working knowledge of Scala, Java, or other JVM languages supporting functional programming, • Experience building distributed systems using microservices, SOA, and event-driven architectures, • Deep understanding of agile processes and the software development life cycle, including TDD/BDD and CI/CD, • Experience with database technologies such as MySQL and RDS, • Proven ability to design and build highly available and scalable systems, • Excellent written and verbal communication skills for presenting complex technical information, • Professional exposure to developing large-scale, high-quality systems for consumer-facing applicationsWhile not required, these are a plus:, • Hands-on experience with container technologies and infrastructure as code, • Previous experience working in innovative, high-growth environments Our Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionAbout Clarion At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care. We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication. We've raised $5.5M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered. Why Join Us? * Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup * Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients * Cutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communication * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture What you'll be working on * Own our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcare * Design AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patients * Create intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teams * Bridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversations * Build our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we grow * Ship brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attention Requirements * 3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediums * Full-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same day * Systems thinker: Can create scalable design frameworks for both visual and conversational interfaces * Figma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypes * In-person collaboration: Excited to work from our NYC office daily You are a good fit if * You believe great design spans all senses—what people see, hear, and feel when interacting with a product * You're fascinated by making AI conversations feel natural and human, not robotic or scripted * You can write copy that sounds like a compassionate healthcare worker, not a tech company * You want to own both how Clarion looks and how it sounds to millions of patients * You're excited to define a brand that stands out in the sea of sterile healthcare tech * You measure success by both user delight and business impact Interesting Design Challenges * Make AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robot * Smooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patient * Simplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without training * Show conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issues * Give staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things down * Connect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screens What we offer * Direct mentorship: Work closely with our founding team and shape both product and brand direction from day one * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches * Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team * Impact at scale: Your designs—both visual and voice—will directly improve healthcare access for millions Interview Process We'll get back to you within 24 hours after each step: * First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spaces * Portfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped product * Design Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfaces * Team Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work together If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $120K - $160K

Job Description Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 350,000 businesses and nearly 1.5 Million active savers, with over $30 billion in assets saved across all 50 United States. Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities. Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com Who Are We Looking For? We're looking for a systems-minded operator who can own the feedback loop between our service channels and our knowledge ecosystem. You'll ensure our external help center, agent knowledge, and AI training content stay tightly aligned to our highest volume tickets, channels, and categories, so both AI enabled automated and human agents resolve issues quickly and consistently. You will ultimately own the operational knowledge layer that powers both human and AI service resolution. The ideal candidate thrives on bringing structure to complex operational challenges.You are both detail oriented and execution-focused, someone who can see the big picture while managing the day-to-day mechanics that move work forward. You will work within the operational rhythm and workflows, leveraging the AI feedback to improve the performance, identify and implement knowledge system improvements. This role owns the operational feedback loop between service demand signals (tickets, calls, AI conversations) and the knowledge systems that power both automated and human issue resolution. This role reports to the Director of Business Operations. What Will You Be Doing? As a Senior Associate, Knowledge Systems & Management, you will serve as an individual contributor responsible for driving operational initiatives from intake through implementation, while continuously improving the systems and documentation that support our internal teams. Your responsibilities will include, but are not limited to: • Build the infrastructure to monitor service channel trends and partner with the marketing team to create and optimize AI training content, agent knowledge resources, and customer facing support content., • Ensure accurate knowledge is surfaced effectively within the agent workspace to support fast and accurate resolution of customer issues and utilized as part of automations that drive operational efficiency., • Own the creation, maintenance, and governance of operational documentation, including workflow guides and internal knowledge resources., • Collaborate with Marketing when internal knowledge informs customer-facing content to ensure alignment between internal processes and external guidance., • Identify and implement changes that improve agent productivity, including increasing tickets resolved per day, reducing average handle time, and improving first-touch resolution rates. Ultimately, you'll be expected to set targets for some of the following operational KPIs and ensure they are achieved:, • First Touch Resolution, • AI Containment Rate, • Agent Handle Time, • Tickets per Agent per Day, • Help Center Deflection Rate, • Continuously review AI-handled conversations, agent interactions, and operational signals to identify gaps in the knowledge corpus., • Analyze the effectiveness of the knowledge ecosystem by comparing the content surfaced to customers with the types of issues appearing in service channels., • Collaborate with marketing to refine external support content while maintaining ownership of the operational knowledge structure and accuracy., • Partner with AI and Business Systems teams by providing operational input and recommendations based on knowledge system performance and service outcome goals., • Partner with Service leadership to align content improvements with operational needs while maintaining clear ownership of execution decisions., • Track progress, identify risks and blockers, and proactively escalate issues to ensure successful and timely delivery., • Translate system updates, process changes, and technical concepts into clear, actionable guidance for internal stakeholders., • Support the BizOps team with operational changes to empower quick turnaround on the roadmap improvements Requirements The Necessities • Ability to independently drive operational improvements from problem identification through implementation., • Design and run small operational experiments to improve AI resolution rates, agent workflows, and knowledge effectiveness., • Exceptional attention to detail and a commitment to operational accuracy., • Excellent written and verbal communication skills, particularly in cross-functional environments., • Demonstrated experience (2+ years preferred) in operations, process improvement, project coordination, or a related function., • Proven ability to bring structure to ambiguity and execute with minimal oversight., • Highly organized, proactive, and solutions-oriented mindset., • Experience working with a help center or knowledge base (e.g Zendesk, Salesforce, Confluence) or similar., • Comfortable using ticket and channel data (exports, dashboards, or basic queries) to decide what to build or improve., • Experience in fintech, financial services, or a regulated operational environment., • Familiarity with Jira, Confluence, Zendesk, Asana, AWS tools such as Connect or similar workflow and documentation tools., • Experience writing customer facing help content,, • Experience working in or alongside service centers., • Hands on experience with AI support tools (chatbots, virtual agents, or similar) This role will be based in either the New York City, Austin, King of Prussia, or Phoenix office, and will be part of Vestwell's hybrid in-office operation. The expected base salary range for this position is $70K - $85K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired. OUR BENEFITS We're an innovative, high-growth company, with lots of exciting milestones ahead. We value health and wellness at Vestwell and in addition to a dedicated Employee Wellbeing Committee, we offer competitive health coverage and generous vacation offering. We have adopted a hybrid office policy, but all employees are welcome at our bright, comfortable office with many workspace options in our Midtown Manhattan, Austin, King of Prussia, and Phoenix offices, so everyone has a setting that is the most productive for them. Oh, and naturally we have a great 401(k) plan! OUR PROCESS It starts the same for every candidate: getting to know the team members through 1-2 conversations about Vestwell, your experience, and your interests. Next steps can vary by role, but the usual next steps are a skill or experience screen (e.g. a coding interview for an Engineer, a portfolio review for a Designer, deeper experience call for other roles) which leads to a virtual or in-person interview panel after that if the screens go well. Before making an offer, our interview process concludes with a references check stage for your recruiter to meet with a current or former supervisor and peer. We prioritize transparency and lack of surprise throughout the process. For your awareness you will only receive correspondence from any other domain not ending in Vestwell.com is not our Recruitment team. Vestwell's Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell's California Privacy Rights Policy.

Job DescriptionCareer Renew is recruiting for one of its clients a Frontend/Product Engineer - AI - this is an onsite role in New York/Miami. Salary range: 180-240K USD yearly plus benefits plus equity.IT teams operate in multi-tab hell - MDMs, vulnerability scanners, ticketing systems, stale asset management tools - while tribal knowledge rots in Slack threads, ticket comments, and people's heads. We're building what Google Maps did for navigation: a continuously updating, dependency-aware intelligence fabric across your entire IT environment. Our agents don't just read the map - they investigate, reason, and prevent incidents before they happen. By the time someone creates a ticket, we've already solved the problem. We are looking for a Frontend/Product Engineer with 2+ years of experience to own our entire frontend experience. We need a tastemaker who can think in terms of information architecture, not just pixels, and can build a polished, production-grade UI from the ground up without waiting for Figma mocks. This person will be a founding member of our technical staff, working with production data from large enterprise customers to build an exceptional UI that makes complex data feel intuitive. What will you be doing? * Own and build the entire frontend experience, including the visual language, design system, and interaction patterns. * Develop the core data intelligence interface, an AI-native analytical tool that allows users to seamlessly drill down into dense, multi-source enterprise data. * Create the Investigation UX, where users can visualize the AI agent's reasoning process as it forms hypotheses and gathers evidence. * Collaborate directly with the CEO, CTO, lead designer, and customers to architect the user experience. * Shape the brand and have a point of view on what it should look and feel like. Requirements:2 - 10 years of experience in B2B product or frontend engineering, with the ability to own frontend systems end-to-end (Mandatory) Relevant experience at one of the below: reputable companies known for strong eng teams or AI native growth-stage companies (e.g., core product involves agentic AI) (Mandatory) Experience working with complex, enterprise data (Mandatory) Previous experience as a founder or founding engineer. (Nice-to-have) Top CS school (e.g., Waterloo, MIT, Cornell) (Mandatory) AI native: daily, expert-level use of AI coding tools (e.g., Cursor, Claude Code) (Mandatory) React experience (Mandatory) Contributes to open source, visualization libraries, or other side projects (Mandatory) Strong communication skills; every member of the team is expected to interface with customers on a frequent basis (Mandatory) Is an owner, not a task-taker; can build from a user story without detailed Figma mocks and will come with opinions (Mandatory) Why you should join We are building the Google Maps of IT - an AI-powered knowledge graph that detects issues before they happen and makes proactive adjustments without disrupting users. We're going after ServiceNow's $200 billion market with a trillion-dollar opportunity. You get series A validation with seed stage entry - $6M raised from A* & Definition Capital with two active enterprise POCs at publicly traded companies. Team built flagship products at Palantir, Datadog, and Google Gemini. Own the entire frontend experience from day one - build the design system, data intelligence interface, and investigation UX. $180-240K base plus top-tier equity, hybrid NYC or Miami.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Senior Pre Sales Solutions Engineer The Senior Pre Sales Solutions Engineer assists AHEAD Client Directors through formal technical presentations and technical design assistance of AHEAD’s solution and service offerings to existing and prospective clients. The Senior Pre Sales Solutions Engineer owns all technical aspects of a sales campaign and hand off to the consulting and services team; maintaining strong relationships with our clients. In this role, you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients. We expect our Senior Pre Sales Solutions Engineer to have deep knowledge across our Enterprise Cloud Framework including Cloud Management and Operations, Security, Datacenter Infrastructure and Public Cloud. Your goal as a Senior Pre Sales Solutions Engineer should be to build skills, relationships, and industry credibility across more than one of these segments to drive product and services sales. You will work in partnership with one or more Client Directors to help build a cohesive account strategy for each existing and prospective clients. As part of this strategy, you will help Client Directors identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout the sales campaign. Time management and prioritization are essential attributes of a successful Senior Pre Sales Solutions Engineer. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare and contrast alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging Subject Matter Experts (Practice Directors, Solution Principals, Specialists, Client Services, etc.) is a necessity to scale your effectiveness within accounts. You will also be expected to provide insight and details regarding work effort and client engagement to enable tracking of key KPIs throughout the year through tools that will be provided to you. Education is critical to your success at AHEAD. You are expected to continually educate not only yourself, but also our clients and your team resources.Roles and Responsibilities • Possess deep data center expertise (multiple layers of the stack)., • Present at Technical Briefings and Lab Demonstrations with clients and partners to showcase AHEAD's value., • Considered a Subject Matter Expert (SME) in one or many technologies for the team to leverage., • Recognized by the partner community to own technical sales campaigns without their support., • Qualify and position consulting engagements and services., • Provide coaching and mentoring to team resources in order to enhance their solution knowledge, technical acumen, and pre-sales skill sets., • Qualify sales opportunities in the terms of client technical requirements, decision making process and funding and decides if we should move forward with the campaign., • Understand and articulate AHEAD's Enterprise Cloud Framework., • Prioritize opportunities and efforts assigned to the geography based on maximizing total impact on team productivity and profit., • Drive engagement conversions to additional services / solutions., • Provide feedback to improve internal efficiencies., • Work with Practice Directors to provide input and suggestions for new solutions and offerings., • Present regularly at AHEAD events, user groups, conferences, and forums., • Lead Solution Verification / BOM Review process for the geography.Qualifications, • Bachelors degree in Computer Science, Engineering, or equivalent, • 4+ years Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills, • Experience working as a technical lead in a pre-sales sales campaign, • Extensive knowledge of one or more of the following data center solutions: storage, networking, compute, virtualization, data center management / automation, and security, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self motivated, a self starter and possess a good working attitude, • Able to work well within a team and partner environment

Job Description About Project Healthy Minds Project Healthy Minds is a mental health nonprofit that runs like a tech startup. We are pioneering a first-of-its-kind model: applying technology to address one of the biggest social issues of our time: the growing mental health crisis. We believe in a simple but profound idea: that it should be as easy to find mental health services as it is to book a flight or a restaurant reservation. That's why we're building the world’s first digital marketplace for finding mental health services that are right for you. To do that, we work with some of the most inspiring and influential leaders in America - business titans, tech entrepreneurs, clinicians and scientists, musicians, artists, athletes, media stars, policymakers, and more - because we believe that the world's most complex challenges require interdisciplinary teams and solutions. We are backed by a powerhouse of industry-leading Board of Directors and Advisory Council Members who are passionate, hands-on, and dive into the important work with us. Learn more at projecthealthyminds.com and @projecthealthyminds on social. About The Role WHAT WE'RE LOOKING FOR The Product Engineer, Services builds and evaluates the LLM-enabled workflows that power PHM's services data — ensuring that the information users rely on to find mental health support is accurate, complete, and continuously improving. This role pairs (backend-leaning) full-stack engineering with a measurement-first approach to expanding data coverage and quality. WHAT YOU'LL DO • Build and maintain LLM-enabled workflows for acquiring, structuring, and enriching mental health services data from diverse sources, • Design and implement evaluation frameworks (evals) to measure the accuracy, completeness, and reliability of LLM outputs in production, • Partner with Product to define success criteria for new data workflows before building them, • Work closely with the Lead Engineer to divide and conquer across the services data domain — you expand coverage while they own core architecture, • Ship full-stack features end-to-end: backend data processing, API surfaces, and frontend tools for internal and external use, • Monitor and improve data quality through automated checks, dashboards, and feedback loops, • Use AI tools (e.g. Claude Code) as a default part of your development workflow, • Contribute to engineering standards through code reviews, documentation, and thoughtful technical discussion WHAT YOU'LL BRING • Production experience with TypeScript and Node.js (NestJS or similar backend frameworks), • Familiarity with Next.js or comparable frontend frameworks — comfortable across the stack, • Interest in and aptitude for building LLM-powered workflows — you don't need to have built this before, but you need to want to, and you have a track record of learning quickly, • A measurement mindset: you think about how to know whether something is working before you build it, • Demonstrated adoption of AI-assisted development (Claude Code, Cursor, or equivalent), • Comfort working with messy, multi-source data — you don't need clean inputs to make progress, • A collaborative, low-ego working style — you'll pair closely with a lead engineer and a small team, • A belief in our mission: connecting millions of Americans to mental health services that actually work for them WHY THIS IS A UNIQUE OPPORTUNITY • A world-class Board, Clinical Advisory Committee, supporters, and collaborators. We've assembled a truly best-in-class network across business, academia, and media., • A big, bold vision with backing. Multi-year track record of strong YoY growth, funded by philanthropy and earned revenue., • Startup mindset, social mission ethos. You'll work with a team from venture-backed startups, market-leading enterprises, and everything in between — united by the chance to drive massive positive impact., • Own the quality layer for LLM-enabled services. You won't just build workflows — you'll define what "good" looks like and prove it with data. What We Offer • Competitive compensation, • Competitive medical, dental, and vision benefits, • Paid holidays and generous PTO, • Life insurance, • Short-term and long-term disability, • Spring Health mental healthcare, • Commuter benefits, • Perks at Work, • Experience joining a dynamic start-up environment that is re-writing the playbook for social change in the mental health tech space, • Benefits of joining a close-knit, highly-motivated team with mentorship opportunities from a world-class network of founding leaders, Advisors, and Board members, • Learning & Development opportunities, including free MasterClass subscriptions, • Opportunity to attend inspiring experiences and events with thought leaders, business executives, and iconic speakers across a range of industries, • And more (just ask!) The annual salary for this role is $155,000–$195,000, commensurate with experience and fit. EEO Guidelines: Project Healthy Minds is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. Project Healthy Minds will provide reasonable accommodations as required by applicable federal, state, and/or local laws, and will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. COVID Guidelines: The health and safety of our Project Healthy Minds community is the highest priority. As such, Project Healthy Minds is requiring all newly hired staff members to be fully vaccinated and boosted with an FDA authorized and/or approved COVID-19 vaccine as a condition of employment. Requests for reasonable accommodations for medical, religious, or other reasons will be considered in accordance with applicable law. Due to the high volume of applications received, only those selected for an interview will be contacted. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Project Overview HireScale is partnering with an innovative organization to reimagine how talent systems are built, operated, and scaled in an AI-enabled world. This is a 6-month full-service Talent Engineer engagement focused on designing and deploying intelligent hiring infrastructure that transforms how teams source, evaluate, and engage talent. The work is centered on building modern, AI-powered talent systems—not incremental recruiting improvements, but 0→1 transformation of the hiring stack. You will operate at the intersection of recruiting strategy, data systems, automation, and applied AI to create workflows that meaningfully improve speed, quality, and decision-making in talent acquisition. This engagement is built around shipping real systems, not strategy decks. You’ll use AI-assisted development and automation tools as force multipliers to rapidly design, test, and deploy scalable recruiting infrastructure—while maintaining strong discipline around data integrity, system design, and long-term maintainability. This is a hands-on builder role across the full lifecycle: • Translating hiring challenges into structured, systemized solutions, • Designing and deploying AI-enabled sourcing and screening workflows, • Building scalable talent pipelines and automation layers across ATS, CRM, and sourcing tools, • Turning fragmented recruiting processes into cohesive, data-driven systems, • Establishing infrastructure that can evolve from experimentation → production-grade talent systems The goal is not just to improve hiring—it’s to rebuild how hiring works, using AI and automation as core infrastructure. Scope of Work & Core Capabilities • Design and ship AI-enabled talent systems aligned to hiring and workforce goals, • Build and optimize end-to-end recruiting workflows across sourcing, screening, scheduling, and evaluation, • Translate ambiguous talent challenges into structured, scalable systems and automations, • Develop integrations across ATS, CRM, sourcing platforms, and internal HR systems, • Leverage AI and automation to improve recruiter productivity and candidate experience, • Apply strong systems thinking to ensure scalability, reliability, and maintainability, • Work across data layers to improve talent intelligence, reporting, and decision-making, • Utilize modern AI and automation tooling (LLMs, workflow automation, and orchestration platforms), • Develop across Python, JavaScript/TypeScript, and SQL-based environments where needed, • Work with APIs and platforms such as ATS systems, HRIS tools, and recruiting tech stacks, • Design and manage data flows supporting sourcing intelligence and candidate pipelines, • Collaborate closely with talent and business stakeholders to translate needs into systems, • Document architecture, workflows, and operational playbooks for long-term scalability and handoff Engagement Brief This 6-month consulting engagement is focused on building production-ready, AI-enabled talent infrastructure that materially improves how organizations hire and scale teams. Success is defined by shipped systems, measurable improvements in hiring performance, and sustainable internal capability—not advisory output. • Target Outcomes: Production-ready talent systems and AI-enabled recruiting workflows that improve sourcing efficiency, candidate quality, and time-to-hire. Deliver scalable hiring infrastructure, automation of repetitive recruiting tasks, and data-driven decision systems that elevate hiring quality and consistency. Ensure all systems are maintainable and fully operational for internal talent teams post-engagement., • Duration: 6 months (full service engagement), • Commitment: Full-service or fractional engagement, • Budget: Flexible based on scope, complexity, and proposal, • Start Date: ASAP, • Portfolio Requirements:, • 2–3 relevant projects in talent systems, recruiting technology, automation, HR tech, or AI-enabled workflow design, • Demonstrated end-to-end ownership (problem → system design → implementation → measurable outcome), • Clear evidence of impact (reduced time-to-hire, improved quality of hire, automation gains, or adoption metrics), • Supporting materials such as system diagrams, GitHub repos, case studies, or technical documentation preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job Description Join Our Growing Team CSA provides the ideal place for you to develop or start your career in a fast-paced, diverse environment. At CSA Group, one of our guiding principles is to treat people with respect, and we appreciate diversity in their backgrounds, experiences and opinions. If you think you have what it takes to be an industry leader, send us your resume. Our Success For more than 65 years, CSA Group has contributed to developing stronger, more resilient facility and infrastructure solutions. Our experience brings plenty of opportunities for you to expand your skill set, challenge yourself, and make an impact. Social Commitments One of CSA Group’s most important Guiding Principles is our commitment to contribute to the industries we serve and the communities we live in. This translates into active involvement in a variety of activities and organizations, which provide many opportunities for education and growth for our employees. Responsibilities Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities: • Assist Lead Structural Engineer with conceptualization, planning, execution, quality control and closing processes of projects., • Coordinate with related disciplines., • Responsible for the preparation of project specific Construction Documents (Drawings, Calculations Packages & Specifications) and providing Construction Administration services/Field Engineering services., • Perform design and calculation tasks based on standard engineering techniques and procedures., • Apply standard practices, engineering fundamentals, and techniques in specific situations, adjusts and correlates data, and follows design through a series of related detailed steps or processes., • Review rough sketches, drawings, specifications, and other engineering data received from engineers and architects., • Responsible for overall management of small -sized projects or has technical responsibility on a project., • Assure compliance and provide input with established firm-wide policies and procedures as related to project execution., • Make recommendations and decisions that impact a project. Requirements Essential Skills and Experience: • Bachelor’s Degree in Civil or Structural Engineering and a Master’s degree in Structural Engineering., • 5-10 years of experience as a Structural Engineer with at least three years managing medium-sized governmental or infrastructure projects with significant technical responsibilities on a project., • Professional Engineer License, preferably in New York or New Jersey., • Working knowledge of ETABS, SAP2000, SAFE, Microsoft Office suite, MATHCAD, Microsoft Teams & AutoCAD. Revit experience a plus., • Commercial building, water, wastewater, power and/or transportation desired., • Proficiency in reinforced concrete and structural steel design., • Solid background in mathematics, physics and mechanics of materials., • Ability to work under pressure and meet tight deadlines., • Knowledge and Design experience of foundation types and soil/structure interaction., • Solid background in dynamics, wind and earthquake design of structures., • Excellent oral, written skills and communication skills., • Teamwork and customer satisfaction oriented., • Curiosity and interest in continuous learning in AI and comfort experimenting and iterating quickly; uses data to validate ideas and measure impact., • Commitment to ethical and responsible AI adoption, including privacy-by-design and safe use of tools.Company DescriptionJoin Our Growing Team CSA provides the ideal place for you to develop or start your career in a fast-paced, diverse environment. At CSA Group, one of our guiding principles is to treat people with respect, and we appreciate diversity in their backgrounds, experiences and opinions. If you think you have what it takes to be an industry leader, send us your resume. Our Success For more than 65 years, CSA Group has contributed to developing stronger, more resilient facility and infrastructure solutions. Our experience brings plenty of opportunities for you to expand your skill set, challenge yourself, and make an impact. Social Commitments One of CSA Group’s most important Guiding Principles is our commitment to contribute to the industries we serve and the communities we live in. This translates into active involvement in a variety of activities and organizations, which provide many opportunities for education and growth for our employees.Join Our Growing Team\r\n\r\nCSA provides the ideal place for you to develop or start your career in a fast-paced, diverse environment. At CSA Group, one of our guiding principles is to treat people with respect, and we appreciate diversity in their backgrounds, experiences and opinions. If you think you have what it takes to be an industry leader, send us your resume.\r\n\r\n\r\n\r\nOur Success\r\n\r\nFor more than 65 years, CSA Group has contributed to developing stronger, more resilient facility and infrastructure solutions. Our experience brings plenty of opportunities for you to expand your skill set, challenge yourself, and make an impact.\r\n\r\n\r\n\r\nSocial Commitments\r\n\r\nOne of CSA Group’s most important Guiding Principles is our commitment to contribute to the industries we serve and the communities we live in. This translates into active involvement in a variety of activities and organizations, which provide many opportunities for education and growth for our employees.

Job Description We’re building cutting-edge LLM-powered workflow tools to supercharge investment research for private market investors. Our clients include most of the global top 10 private equity and consulting firms - We already power hundreds of billions of dollars invested annually. We’re a profitable, bootstrapped company with a growing team of 30+ based in London, NYC and Sydney. We 10x’d our revenue in 2025. Role Description As a Backend Engineer, you’ll help build and scale the systems that power our AI-driven research platform. This is a systems-level role - ideal for engineers who love thinking about data flows, orchestration, and performance across complex distributed systems. You'll have the unique opportunity to: • Ship quickly, • Architect and scale backend systems that support high-throughput LLM interactions, vector search, and multi-agent orchestration., • Stitch together AI infrastructure across model providers, data stores, and internal APIs to create cohesive, performant systems., • Own reliability and observability, helping us evolve our database (Postgres / ClickHouse) and job orchestration systems., • Prototype new backend capabilities (retrieval pipelines, caching layers, async task queues) that let us build faster and smarter. We're looking for product-minded backend engineers who: • Based in NYC, ***we are 5 days a week in person, • Are excited by the intersection of AI infrastructure and systems design, • Have experience leading projects end-to-end, • Are eager to contribute to product decisions, • Are proficient in our tech stack: Next.js, TypeScript, PostgreSQL, • Retrieval/embeddings/prompt orchestration All the usual benefits (competitive pay and equity, private healthcare etc). Unusual benefits: • Gym membership, • In-office cook, • Summers working in Greece by the beach

Job Description We are looking for a skilled Senior DevOps Engineer to join our Engineering team. In this role, you will report directly to the Director of Engineering and be responsible for building and maintaining the infrastructure, tools, and processes that power our platform at scale. You will work closely with the Software Engineers and the Product team to ensure our systems are reliable, scalable, and secure. You'll own our CI/CD pipelines, cloud infrastructure, and observability stack — and play a key role in shaping how we build and ship software. What you will do • Design, build, and maintain our cloud infrastructure., • Manage and scale Kubernetes clusters, Helm deployments, and GitOps workflows using ArgoCD., • Build and improve CI/CD pipelines to enable fast, reliable deployments., • Monitor system health and respond to incidents., • Manage data pipelines and database infrastructure (Aurora, Snowflake, CDC pipelines)., • Partner with the Director of Engineering to define and execute infrastructure strategy., • 4-5+ years of experience in a DevOps, SRE, or an Infrastructure Engineering role., • Strong experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes., • Hands-on experience with ArgoCD, GitOps principles, and Crossplane., • Experience with CI/CD tools and solid scripting skills in Bash and Python., • Excellent communication skills to effectively communicate complex technical information to non-technical team members and stakeholders., • Strong problem-solving skills to analyze complex problems and develop effective solutions., • Experience with data infrastructure (Snowflake, CDC pipelines, Aurora)., • Experience deploying and managing AI agents in production environments. gCEchKYREj